Thursday, April 30, 2026

WORKSHOP: "Information Literacy in the Age of AI"

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Information Literacy in the Age of AI
A Library 2.0 / Learning Revolution Workshop with Reed Hepler

OVERVIEW

This two-hour interactive workshop explores the crucial intersection of Artificial Intelligence (AI) and information literacy, addressing the transformative impact of AI on how information is accessed, evaluated, and utilized. Participants will gain a foundational understanding of how Generative AI (GenAI) tools function, including their capabilities and limitations in the context of information seeking and research. The session will delve into the integration of web search functionalities within AI tools and the implications of platforms like SearchGPT and advanced research tools on traditional information literacy practices.

A key focus will be on developing critical thinking skills to assess AI outputs effectively. Attendees will learn practical strategies, including the SIFT (Stop, Investigate the source, Find trusted coverage, Trace claims to the original context) method, to combat misinformation and evaluate the credibility of AI-generated content. The webinar will address the challenges posed by AI-driven misinformation and disinformation, equipping participants with the tools to navigate the evolving information landscape responsibly.

The session will also explore the broader implications of AI on information literacy, including ethical considerations, bias detection, and the responsible use of AI in research and education. Through interactive discussions and real-world examples, participants will learn how to adapt their information literacy instruction and practices to meet the demands of the AI era. Attendees will leave with actionable strategies for fostering critical engagement with AI tools and promoting informed decision-making in an increasingly complex information environment 13.

LEARNING OBJECTIVES

  • Understand how GenAI tools work and their impact on information literacy.
  • Apply critical thinking skills to evaluate AI outputs and identify misinformation.
  • Utilize the SIFT method for assessing the credibility of sources in the age of AI.
  • Assess the implications of SearchGPT and deep research tools on information literacy practices.
  • Adapt information literacy instruction to promote responsible AI usage.

The recording and presentation slides will be available to all who register. 

DATE: Tuesday, May 19th, 2026, 2:00 - 4:00 pm US - Eastern Time

COST:

  • $149/person - includes live attendance and any-time access to the recording and the presentation slides and receiving a participation certificate. To arrange group discounts (see below), to submit a purchase order, or for any registration difficulties or questions, email admin@library20.com.

TO REGISTER: 

Click HERE to register and pay. You can pay by credit card. You will receive an email within a day with information on how to attend the webinar live and how you can access the permanent webinar recording. If you are paying for someone else to attend, you'll be prompted to send an email to admin@library20.com with the name and email address of the actual attendee.

If you need to be invoiced or pay by check, if you have any trouble registering for a webinar, or if you have any questions, please email admin@library20.com.

NOTE: Please check your spam folder if you don't receive your confirmation email within a day.

SPECIAL GROUP RATES (email admin@library20.com to arrange):

  • Multiple individual log-ins and access from the same organization paid together: $129 each for 3+ registrations, $99 each for 5+ registrations. Unlimited and non-expiring access for those log-ins.
  • The ability to show the webinar (live or recorded) to a group located in the same physical location or in the same virtual meeting from one log-in: $399.
  • Large-scale institutional access for viewing with individual login capability: $699 (hosted either at Learning Revolution or in Niche Academy). Unlimited and non-expiring access for those log-ins.

12420251095?profile=RESIZE_180x180REED C. HEPLER

Reed Hepler is a digital initiatives librarian, instructional designer, copyright agent, artificial intelligence practitioner and consultant, and PhD student at Idaho State University. He earned a Master's Degree in Instructional Design and Educational Technology from Idaho State University in 2025. In 2022, he obtained a Master’s Degree in Library and Information Science, with emphases in Archives Management and Digital Curation from Indiana University. He has worked at nonprofits, corporations, and educational institutions encouraging information literacy and effective education. Combining all of these degrees and experiences, Reed strives to promote ethical librarianship and educational initiatives.

Currently, Reed works as a Digital Initiatives Librarian at a college in Idaho and also has his own consulting firm, heplerconsulting.com. His views and projects can be seen on his LinkedIn page or his blog, CollaborAItion, on Substack. Contact him at reed.hepler@gmail.com for more information.
 
OTHER UPCOMING EVENTS:

 May 1, 2026

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 May 7, 2026

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 May 8, 2026

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 May 14, 2026

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 May 15, 2026

 May 22, 2026

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Wednesday, April 29, 2026

Human Agency and the Separated Mind

In my The Separated Mind post, I drew on the Buddhist / Jonathan Haidt image of the rider and the elephant to describe the architectural relationship between our conscious and subconscious minds. I want to be careful here, because I don't want to oversimplify anyone's use of that metaphor. What I am responding to is the formulation as it commonly travels, and that I reproduced as well: the elephant decides, the rider rationalizes. The elephant has already made the decision, and the rider produces a post-hoc story to justify it.

This formulation has been weighing on me since the post. It didn't really capture my own experiences very well. It was a simplification that I'm surprised I let myself make. 

So I spent some time thinking about what's really going on, and I believe the results are important.

People do deliberate. They weigh options. They consider consequences. They apply values. The deliberation is real, and the decisions that result from it are reached through a process in which the deliberator genuinely participates. To say the rider is just narrating decisions the elephant has made is to caricature the actual cognitive process, and most people, hearing it, will recognize it as a misrepresentation of how they actually operate, or at least, would feel some discomfort with its broad dismissal of their agency.

What is happening, I think, is something different and more accurate. Our conscious mind, the rider, is making decisions. It is the one deliberating. What it is not aware of is the degree to which the options under deliberation, the weight given to each, the affective coloring of the considerations, and the framework within which the whole deliberation occurs have already been shaped by our subconscious, the elephant, before we began. The elephant supplies the emotions that make some considerations feel compelling and others feel inert. Our subconscious supplies the deeper emotional and cultural frameworks installed by evolutionary firmware and cultural learning, frameworks that determine which categories of option are even visible to our deliberation. The weighting and framing are mostly invisible to us. Our conscious mind deliberates within them, in good faith, and reaches decisions that feel like the product of honest reflection. The honesty of the reflection is real. The shaping of what the reflection has to work with is mostly hidden.

I know this personally because when I was 17, I lived in Brazil for a year as an exchange student. That experience challenged a huge number of default frameworks I'd operated with as an American teenager. It was as if the water I'd been swimming in all my life suddenly became visible. (I'll forever be grateful to the Brazilian family I lived with, who thoughtfully understood and treated me gently through this process, since there was no small amount of ignorance on my side.)

There are two things, specifically, that our rider does not see clearly.

Our emotions. Feelings, or "felt-states," arrive already attached to specific options and an immediate sense that some are attractive and others are repellent, before we consciously begin deliberating. We experience the felt-states as features of the options themselves rather than as inputs our subconscious has supplied.

Our frameworks. The adapted mind, shaped by evolution, and the adaptive mind, shaped by culture and personal history, together determine which options even appear in the deliberation, which values feel important, and which categories of consideration count as relevant. Our rider works within the frameworks without seeing the frameworks.

This is a different claim than the simple version. It is not that humans lack agency. We have agency, and we exercise it through real cognitive deliberation. It is that the agency operates within constraints we mostly cannot see, supplied by the layers of mind that run below our awareness. Operative-layer awareness, the goal of the framework I have been articulating, is not the recognition that we are puppets of our subconscious. It is the recognition that we are decision-makers whose decisions are shaped by inputs we are not built to see easily. And making the inputs visible does not eliminate their influence. It does change the deliberation, because the rider deliberating with awareness of the elephant's weighting is doing something different than the rider deliberating without that awareness.

The American teenager sees the world and the options for decision-making very differently than his Brazilian counterpart. The Catholic rider operates with a very different set of emotions and frameworks than the Muslim. None of them are just narrating decisions made by the subconscious, but their decisions are significantly shaped, for good evolutionary reasons, to the culture they have grown up and live in. They experience emotions and options through the same architecture, but associated with different inputs. 

This refinement fits cleanly with the evolutionary picture I sketched in the parent essay, and is in fact what that picture would predict. If intellect was selected as a social organ rather than a truth-tracking one, then what intellect is good at is exactly what we observe it doing: producing defensible positions, weighing considerations, articulating reasons, reaching conclusions that can be stated and defended within whatever cognitive frames are available. That is real cognitive work, and the rider does it. What intellect was not selected to do, and what it correspondingly cannot do well on its own, is interrogate the frames that supplied the considerations in the first place. The frames were not produced by the rider, are not transparent to the rider, and would require a different kind of work to bring into view than the deliberation itself involves.

The same point shows up in the structural relationship between intelligence and science. The reason peer review, double-blind trials, falsification, and adversarial collaboration exist is precisely that unaided deliberation cannot get behind its own frames. The procedures of science impose external constraints on the deliberation, forcing it to expose its assumptions, test its inferences, and submit its conclusions to processes it would not otherwise undergo. Where this works, it does so because the structure does what the rider cannot easily do for itself: interrogate the framing within which the rider's deliberation occurs. The achievements of science are not evidence that the rider can transcend its own conditioning unaided. They are evidence that, with the right external structure, the rider can do better than its default mode permits. That is a more accurate picture of what intellectual rigor actually requires, and I think it is consistent with the refinement I am offering here at every level.

This refinement also explains, more directly than the simpler formulation could, what the cross-model LLM project actually surfaced. The finding was not just that conscious work occurs within unseen frames. The finding was specific. What the convergence revealed is that human self-narration, across an enormous corpus of written work, consistently produces idealized narratives that diverge from the operative functions inferable from behavior and consequence. The deliberation is real, the conclusions are reached in good faith, and the narratives that emerge from that deliberation are nonetheless systematically distorted. The reason is not that the writers are lying. The reason is that the frames within which they are deliberating, the cultural templates available to them, the social rewards that reinforce certain self-descriptions, the felt-states attached to particular options, are themselves idealized. The deliberation operating within those frames actually produces the operatively functional output, which is not the same as the idealized narrative. This is what the LLM convergence lets us see at scale: not the falseness of human self-narration, but the structural distortion the architecture imposes even as the narration is sincere.

The separated mind, in this more accurate formulation, is not a mind in which one part decides and another part lies about it. It is a mind in which conscious deliberation operates within boundaries that the deliberation normally cannot see, and the deliberation is genuine within those boundaries. The boundaries are what the framework lets us bring into view. The deliberation is what we do, with whatever awareness we have managed to develop about the boundaries we are working within.

This refinement strengthens the framework and clarifies what it asks us to do. Not to distrust our own thinking, which would be both impossible and unhelpful. Rather, to develop the literacy to see what our thinking is shaped by, which is the work the framework has been pointing toward all along.

Tuesday, April 28, 2026

The Separated Mind: The Why of Human History

For those of you who have tracked the tsunami of activity from me lately, you'll know that I have been working with two frameworks in a big way: 

  • The first is that all human culture is either an adaptation to, or an exploitation of, our evolved psychology;
  • The second, which emerged from running a single inductive prompt across multiple large language models, is that human self-narration splits consistently into idealized narratives running alongside operative or actual functions, with the gap between them being where most of the truth about us actually lives. 
Both frameworks have been productive on their own. But each, I have come to think, is a surface of something deeper. 

The deeper thing is our separated mind.

The proposal is this: the architectural fact from which everything else follows is that the human mind is not one thing in conversation with itself; it is at least two things that do not have direct access to each other, and the bridge between them is narrative-making. 

What we call culture, thinking, and behavior is the elaboration of that division. Once you see it, I believe, you cannot unsee it, and a great many phenomena that seem to require separate explanations are revealed as the same phenomenon at different scales.

The Architecture

I will use the Haidt/Buddhist elephant-and-rider metaphor as a starting point because it is widely understood, but I want to specify the architecture more precisely than the metaphor usually allows. In my conception, there are three layers, not two.

The first is what the evolutionary psychologists have called the adapted mind: the species-wide firmware shaped by selection over deep time. It manages survival, reproductive strategy, threat detection, and the felt-state machinery that makes social life possible. It is fast, automatic, and largely below the threshold of consciousness. It prompts us through chemical signals, what we call feelings and emotions.

The second is the adaptive mind, by which I mean the cultural software written during our childhood development. The adapted mind (firmware) is calibrated for a generic ancestral environment; the adaptive layer (software) fits the chemical and emotional aspects of a specific local environment: the particular language, the particular kinship system, the particular religion, particular economy. The adaptive mind is what allows the same firmware to produce a functional Yanomami warrior and a functional Manhattan investment banker (if there is such a thing) without modifying the underlying hardware.

The third is the conscious deliberating layer. This is the layer that thinks, weighs, considers, and decides. It speaks. It explains. It deliberates in good faith within whatever frames have been supplied to it. It is sincere and articulate and almost entirely cut off from the layers that shape what it has to deliberate on.

The first two layers operate as a tandem, as our subconscious, the elephant in the metaphor; the third operates separately, and it is the rider. The Elephant is not one organ but two systems working in concert below awareness. The Rider sits on top, deliberates in good faith, and reaches decisions through a process in which the deliberator genuinely participates.

The crucial point, the one that takes a while to absorb, is that the Rider does not have a direct line into the Elephant. The Rider deliberates, but the options it deliberates among, the felt-states attached to those options, the weights given to different considerations, and the frameworks within which the whole deliberation occurs have all been shaped by the Elephant before the Rider began. The deliberation itself is real; the Rider is really weighing options and making decisions. What the Rider cannot see is the prior layer of shaping that determined what was available to deliberate on, what felt compelling, and what felt inert. The narrative the Rider produces about its decisions is not lying. It is reporting honestly on the deliberation while being structurally unable to report on the shaping that preceded it.

This is what I mean by separated. Architecturally separated. The structure does not provide a shared workspace. For most people, there is no inner conference room where the firmware, the cultural software, and the narrator sit at the same table (practitioners of high-level awareness excepted).

The Parallel Track

The deepest source of resistance to this picture is the assumption that intellect evolved to see truth. We treat the rational mind as the pinnacle of our evolution, the higher faculty that reveals reality and steers our lives. The assumption is so embedded that we mistake it as self-evident.

It is almost certainly wrong.

The survival functions that kept our ancestors alive were already running, capably and at speed, before anything we would recognize as intellect appeared on the scene. The adapted mind handled threat detection, food acquisition, mate selection, coalition tracking, and parental investment. The adaptive mind layered on cultural calibration. None of this required rational thought, and none of it required methodical decision-making. In fact, the systems were designed not to require methodical decision-making. 

What intellect was selected for, more likely, was social. I am not well-versed in this literature, but the convergence seems generally accepted. The Social Brain Hypothesis links primate intelligence to the demands of managing complex group life. The Machiavellian Intelligence Hypothesis links it to social maneuvering and the arms race of deception and counter-deception. Mercier and Sperber's argumentative theory of reason makes the case that reason evolved for producing and evaluating arguments in social contexts, which would account for the otherwise puzzling fact that its characteristic failures, confirmation bias and motivated cognition, look more like features of an argumentation tool than bugs of a truth-tracker. Different routes, similar destination. 

Intelligence, as we have it, appears to be overwhelmingly a social organ.

What it does, then, is what social organs do. The capacity to construct coherent narratives, to give and demand reasons, to argue persuasively, to maintain a defensible self-presentation across time, these are coalitional capacities. They served reputation, alliance, status, and the negotiation of position. Their relationship to objective truth was incidental at best. A mind that could narrate convincingly outperformed one that could narrate accurately in most ancestral contexts that mattered for fitness. Evolution selects for survival, not for truth, I've heard it said.

None of this is to diminish what intellect can do under the right conditions. The scientific method, peer review, double-blind trials, adversarial collaboration, and the entire apparatus of reproducibility are precisely the structural workarounds we have had to build because the unaided faculty does not track truth well on its own. If intellect were a truth-tracking organ, we would not need these elaborate procedural constraints. We would simply look and see. The fact that we have had to construct them, painfully and over centuries, and that they degrade the moment the procedures are relaxed, is direct evidence that something other than truth-tracking is the default mode. Science is not redundant with intelligence; science is what intelligence has had to be coerced into doing through structural constraint. Where it works, it works because the structure subordinates a Rider that would prefer to narrate flatteringly. The achievements are real and provide evidence for the framework, not against it.

This is the evolutionary explanation for why the layers do not communicate. The Rider was not built as a sensor pointed at the Elephant. The Rider was built as a social-narrative organ, pointed outward at other Riders, doing the work of belonging, persuading, and maintaining standing. That it experiences itself as the executive of the whole system is a useful first-person illusion, not a description of its actual function.

Granted, this is counter to most of our lived experience, so it's not always easy to see or accept. Our Rider does not want to be told it is a Rider. It wants to be told it is in charge. Because we can make ourselves do things. We do initiate actions, we do make decisions. Just not as often as we think we do. Most of the time, the Elephant is in charge.

What Falls Out

Once you accept the architecture, two things that previously needed separate explanations become predictions of the same fact. 

The first is the narrative-operative gap. If the narrating layer cannot see the operative layer directly, it will narrate from inference, social cues, and cultural templates. Those narrations will systematically idealize, because the cultural templates available to the Rider are themselves idealized; because self-descriptions that align with cultural ideals are socially rewarded; and because the actual operations of the architecture, status competition, mating strategy, coalition maintenance, and in-group calibration, frequently violate the Rider's stated values and would, if narrated honestly, produce social cost. 

The gap is not a moral failing or a curious empirical pattern. It is what an architecture like this has to produce. The cross-model LLM convergence on the idealized narratives and operative functions split is, in this view, the first scaled view of the Rider's (humanity's) collective output. The LLMs are not seeing the Elephant's narration. They are showing us the texture of the Rider's narration as deposited across the written record, and what that texture reveals underneath is that there is a predictable distortion that the architecture forces, and that our idealized narratives have the unintended shadows of our actual behavioral functions.

The second is culture as adaptation and exploitation. Culture, to work, has to address both layers. It has to speak to the Rider in terms the Rider can endorse, meaning, virtue, justice, belonging, story, and it has to engage the Elephant in terms the Elephant responds to, status, mating, safety, coalition. The cultures that survived were those that managed both, giving the Rider a satisfying account while serving operative needs beneath. All long-standing religious, spiritual, and cultural traditions must fulfill two distinct imperatives to survive: the narrative and the actual functions.

But the same dual address that makes a human culture functional makes it eminently exploitable. An institution that learns to deliver narrative satisfaction to the Rider while extracting from the Elephant can persist for a very long time before correction, because the agent being extracted from is structurally barred from noticing what is happening. The institution gives the Rider a story it can tell itself; the Elephant absorbs the cost in degraded felt-states, but the Rider, lacking access, attributes the costs to other causes. This is the mechanism behind what I have been calling the Law of Inevitable Exploitation. It does not require malice and it does not require stupidity. It requires only the architectural separation that is already there. In a unified mind, exploitation would be transparent and self-correcting. The separation is what makes systematic, persistent capture not just possible, but inevitable.

So my two big frameworks — culture as adaptation and exploitation, and idealized narratives operating in tandem with operative functions — are not separate frameworks. They are two views of what the separated mind produces.

What This Is Not

I want to specify what the proposal is not, from my understanding, and why I think it is uniquely valuable. 

It is not dual-process theory. Kahneman's System 1 and System 2 distinction is descriptive of cognitive style and lives almost entirely within what I am calling the Rider. In his framework, both fast and slow thinking are still the conscious agent doing cognitive work; the question is only how much deliberation is involved. The separated mind is making a different claim. The slow, deliberative System 2 is not closer to the Elephant; it is further from it, because deliberation generates a more elaborate narrative.

It is not Haidt's elephant and rider in the form most readers know it. Haidt used the metaphor to argue that moral reasoning is post-hoc justification of intuition. That is correct in my framework, but it is one application of a more general architectural fact. I am claiming the same separation operates everywhere, not just in moral judgment, and I am specifying three layers rather than two, so the cultural layer can do its own work.

It is not modular mind theory in the form that Cosmides and Tooby developed, although it draws on that work. Modular mind theory describes the Elephant's internal organization. The separated mind extends and arguably simplifies the analysis to the relationship between the Elephant and the Rider, and to the consequences of that relationship for culture and institutions.

It is not Freudian or Jungian unconscious, although the territory overlaps. The separated mind is not a repository of repressed material that could in principle be retrieved through analysis. It is an ongoing architectural fact. The Elephant is not hiding from the Rider; it is simply not in the same room.

The closest precedent is Hanson and Simler's Elephant in the Brain, which argued that much of human behavior serves hidden social motives the conscious mind would prefer not to acknowledge. I read the book when it came out and was taken by the central distinction, the gap between stated function and operative function. That distinction has not left me since. But I disagreed in almost every case with what they took the operative function to be. 

Their framework leaned heavily on signaling, with institutions that let everyone signal status, loyalty, affiliation, and care, in coordinated games where participants benefit roughly symmetrically from the shared illusion. My own thinking ran on a different track. The pattern I kept seeing was not symmetric signaling but asymmetric capture, institutions positioned to extract from those they nominally serve, the losers not getting a useful signal but being extracted from while being told a flattering story about it. That disagreement about what the operative function actually is, I think now, was the seed of what eventually became the Law of Inevitable Exploitation. 

My agreement with them is substantial: sincere narrative covering operative function, self-deception as functional rather than accidental, institutions whose stated purpose diverges predictably from what they do. Any framework attempting this kind of integration owes a debt to theirs. The departures are threefold: in what the hidden function is taken to be, signaling versus capture; and in scope, with their book focused on individual self-deception and the hidden functions of institutions read individually, versus my architectural proposal with the cultural and institutional consequences worked out as predictions. 

My contribution, I hope, is integration. An architecture specified at the right level of detail to predict the cultural and institutional patterns we actually observe, grounded in evolutionary logic, and producing the narrative-operative gap as a structural inevitability rather than a curiosity.

The Fractal

The pattern of the separated mind is fractal because every scale of human organization is built by separated-mind humans, so every scale inherits the bifurcation.

At the individual level, stated reasons diverge from actual motives, and the divergence is not always available to introspection. At the relationship level, stated needs diverge from operative needs; couples can work for years on the wrong problem because they are debugging the Riders' accounts (theirs and their partner's) rather than reading the Elephant's signals. At the institutional level, mission statements diverge from operative function; the institution narrates one purpose while the structural incentives serve another, and both can be sincere because the people inside the institution are running the same architecture as everyone else. At the civilizational level, founding narratives diverge from structural reality; nations tell themselves coherent stories about who they are while the operative dynamics of power, resource flows, and coalition formation proceed largely unmentioned beneath.

The same gap, all the way up. This is not an analogy. It is the same architecture replicated through every scale of organization, because each scale is built by minds that operate this way.

What the LLM Project Actually Shows

The cross-model convergence work has been the most surprising methodological development of the past year for me, and it is worth specifying what it does and does not show.

It does not show that the LLMs have perceived a hidden truth about human nature. The LLMs are trained on the written record, which is a record of the Rider, not the Elephant. What they have access to is human self-description across cultures, eras, and registers.

What the convergence shows is that when you ask multiple architectures, trained on overlapping but distinct corpora, to inductively pattern-match across this record, they converge on the same observation. Human self-narration systematically diverges from what can be inferred about operative function from behavior and consequence. The convergence matters because it shows the pattern is not an artifact of a single model's training. It is in the data. Which is to say, it is in the texture of human self-description itself, across the scope of what we have written down. 

The LLM project is the first time we have had a scaled view of the Rider's collective output. The pattern visible in that view confirms the architecture's prediction.

Implications

If the separated mind is the foundation, several conclusions follow that I want to state plainly.

Humans are self-deceiving. Discernment requires reading the operative layer, not just the narrative. What people say is data, but it is not the diagnostic data. The diagnostic data is what behavior and consequence reveal about the Elephant's actual operations. This is not cynicism. The Rider is sincere, but structurally limited. To take the narrative as the whole story is to misunderstand the architecture.

Most institutional failure is not malice or stupidity (although they clearly exist); it is architectural. Institutions composed of separated-mind humans will exhibit the same gap their members exhibit, scaled up. Reform efforts that target only the narrative layer will fail predictably. The work has to operate on the operative layer, which usually means changing structural incentives rather than mission statements.

Therapy, education, and self-help that engage only the Rider engage the wrong layer. The Rider can be talked to all day without the Elephant changing course. The disciplines that have endured, the contemplative traditions, the practices that work through the body, and certain forms of structural intervention engage the Elephant directly, often through routes that bypass the narrating mind entirely. This is one reason traditional cultures, with their rituals and embodied practices, often produced more stable people than therapeutic modernity.

Self-knowledge through introspection alone is structurally limited. The Rider cannot introspect its way to the Elephant because the access is not there. Self-knowledge requires inference from behavior and consequence, ideally with help from people who can see what you cannot. The contemplative traditions knew this; they did not rely on the practitioner's self-report.

Education that develops the narrating layer alone leaves the Elephant uncultivated and exposed to capture. A person whose Rider is well-trained but whose Elephant is uncultivated is the easiest person in the world to exploit, because the institutions that have learned to address the Elephant directly will reach right past the elaborately-trained Rider and pull the operative levers--and the institution's Riders will tell very compelling stories to justify the exploitation.

The Why of History

The cyclical theorists of history, Spengler, Toynbee, Quigley, and Strauss-Howe, among them, all noticed something that has now been documented at length. Civilizations arise, mature, decay, and either transition or dissolve, with recognizable phases along the way. The pattern is robust enough that careful observers from very different intellectual traditions have converged on a substantially similar description of it. The persistent problem with this body of work is that it describes the cycle without explaining why the cycle recurs. None of them grounds the cycle in an architectural fact about the human mind itself.

The framework I am proposing offers that grounding. The cycle recurs because the architecture that produces it remains unchanged. Every human is born with a separated mind. Every civilization is built by separated-mind humans, inheriting the same vulnerability to the same dynamic. Cultures arise when the architecture's outputs produce a coherent narrative and generative function in alignment, that is, when what people say their culture is for and what their culture actually produces are sufficiently aligned that institutions can reproduce themselves across generations. Cultures persist as long as that alignment can be maintained against the Law of Inevitable Exploitation, which presses constantly toward the capture of any institution capable of producing value. Cultures fail when capture has progressed far enough that the generative apparatus, the institutions that produce meaning, form persons, and transmit frameworks for metabolizing existence, can no longer reproduce itself. At that point, narrative collapse follows, because the stories the culture has been telling itself can no longer be supported by what the institutions are actually doing. At that point, the predictable responses play out: external projection through war, internal factional violence, retreat into smaller communities of meaning, and technological or economic substitution for cultural function. The next arrangement, when it emerges, grows from whichever of those responses preserved generative capacity through the transition.

This is not a small claim. It says the cyclical pattern is not a metaphor and not a coincidence; it is what you get when the architecture I have described plays out at civilizational scale across deep time. It says the pattern persists across cultures that had no contact with each other, not because of cultural transmission, but because the same architecture independently produces the same dynamic in every population it constitutes. And it says the work of preserving generative capacity through transitions, the work that is most often retrospectively recognized as having mattered, is structurally predicted by the framework rather than romantically asserted.

The Hard Landing

The separated mind is not a problem to be solved. It is the architectural fact from which human life proceeds. The work is not to fuse the layers; the layers cannot be fused. The work is to develop the literacy to read across the gap.

This is what discernment means in this framework. Not the cultivation of better narratives, which, as Plato exemplified with his Noble Lie, is just changing the authority figures. It is the cultivation of the capacity to see through narrative to the operative reality underneath, in oneself, in others, in institutions, in cultures. The Rider will keep narrating; that is its function. The work is to stop being deceived by the narrations, including, especially, one's own.

What ties together everything I have been writing, the Paleolithic Paradox, the Law of Inevitable Exploitation, the idealized narratives and operative functions, the Levels of Learning, the Levels of Thinking, Plato's Cave as institutional capture, is that all of it is the elaboration of the separated mind. The separated mind is the foundation. Everything else is what the foundation produces when you let it run.

What This Essay Is and Is Not

I want to be careful about the epistemic status of what I am offering, because the framework's apparent reach is the kind of reach that invites overclaiming, and overclaiming is exactly what the framework itself predicts when ideas like this one travel without internal checks.

What this document offers is a hypothesis, not a proven theory. The hypothesis is that the human mind has an architectural separation that is both more general and more consequential than existing frameworks have specified, and that this separation, when followed through to its implications, generates predictions about culture, institutions, and history that match what we observe. The hypothesis is internally coherent. It integrates work from evolutionary psychology, dual-process theory, modular mind theory, and the cyclical theories of history into a single architectural account. It is consistent with the cross-model LLM analysis that surfaced patterns in human self-narration. And it makes predictions that, in principle, can be checked against further evidence.

What it is not is a tested theory in the sense that the testable predictions have been systematically checked, the framework has been applied to enough cases by enough independent investigators to know its actual scope and limits, and the alternative explanations have been ruled out in any rigorous fashion. The work required to move the framework from its current status to that one is substantial and, frankly, above my pay grade. It would require careful application to specific historical cases by people with deep area expertise, identification of the predictions the framework makes that distinguish it from competing accounts, and tests of those distinguishing predictions against the record. None of that has happened yet.

What I am claiming is that the framework has the structural features that make such tests possible and worthwhile. It is not too vague to be tested, and it is not so contorted that confirmation is automatic. It predicts the narrative-operative gap as a structural inevitability rather than describing it after the fact. It predicts the asymmetry between self-knowledge and other-knowledge in the written record. It predicts the persistence of the gap across cultures, eras, and registers. It predicts that contemplative and wisdom traditions will have built structural workarounds rather than better self-narration (with some exceptions). It predicts the cyclical pattern of civilizations and the specific forms transitional responses take. Each of these predictions is checkable in principle, and each holds up to the informal checks I have been able to perform. That is a reasonable basis for taking the framework seriously and continuing to develop it. It is not yet sufficient to treat it as proven.

The framework also faces specific challenges that need to be acknowledged rather than glossed. Some civilizations have lasted vastly longer than others, and the framework needs to explain the variance, not just the recurrence. Some transitions have been catastrophic and others remarkably smooth, and the framework needs to predict which conditions produce which outcomes. Some cultures appear to have arrested the capture dynamic for extended periods through specific structural features, the American Founders' design among them, and I'm told certain Islamic legal traditions and certain Confucian bureaucratic arrangements--and the framework needs to account for what made those interventions effective and why they eventually failed anyway. These are real questions, and the framework, as it currently stands, gestures toward them rather than answering them. 

[This essay was updated on 4/29/2026 to refine the ideas around the agency of the conscious mind. I've elaborated more here: https://www.stevehargadon.com/2026/04/human-agency-and-separated-mind.html.]

Saturday, April 25, 2026

Our Performative Lives

There used to be a small class of people who lived public-facing lives for a living. Actors, politicians, royalty, clergy, public intellectuals. They maintained a curated public self that was different from who they actually were in private, and everyone understood the gap as the cost of doing that work. It was also understood to be corrosive. The literature on it is extensive and almost uniformly grim — the drinking, the breakdowns, the secret betrayals, the exhaustion of never being off, the specific pathologies of fame. A century of memoirs and clinical observations describing what happens to human beings who have to live on stage continuously. Think of all the famous stars who lost themselves, some tragically. The evidence was clear: this is a mode of existence that most people who lived it paid for dearly.

What happened, starting with Web 2.0 and then becoming endemic with social media, was that a condition previously limited to a small occupational class became the default condition of ordinary life. The teenager with a Facebook profile in 2010 was now doing, as an unpaid daily activity, what only movie stars had done in 1957: managing a persistent, searchable, audience-facing self that could be evaluated by strangers, an accumulated a record that had to be maintained. Unlike the movie star, the teenager had no agent, no publicist, no training, no compensation, and no off-season. We had extended the infrastructure of celebrity to everyone, while providing the protections and the payment for almost no one.

And this was only the most visible part of a larger transformation. The phone extended performance into the waking hours of every age group, but the same pattern was already at work in domains that are not usually described as performative at all. The job, especially in the growing share of work that produces impressions rather than objects, has become performance — of competence, of enthusiasm, of alignment with whatever the current organizational aesthetic requires. Parenting has become performance, both in person and in its publicly documented versions on the platforms. Politics has become performance — not the politicians, that is not new, but the ordinary citizen's political life, which is now conducted continuously for an audience of both friends and strangers, whose approval and disapproval are registered in real time.

Friendships, relationships, and even marriages have become performance, or at least have acquired a performative layer that did not exist a generation ago, because every close relationship now has a channel through which it can be, and often is, made visible, comparable, and subject to reactions from people outside it. There is less and less unperformed time.

The performative continuum at work runs from the knowledge worker at one end to the influencer at the other, and it is useful to see it as a continuum rather than as two different phenomena. The knowledge worker crafts every message for legibility to the boss, tunes the tone of every meeting contribution to the read of the room, and learns which expressions of opinion produce career advancement and which produce cooling. The influencer is a caricature, with no real independence at all once the audience is built — revenue, identity, and social standing are all functions of continued audience approval, and any deviation from what the audience responds to is a direct threat to survival. Between those two endpoints is most of the rest of the modern workforce, performing at varying intensities for varying audiences, in varying degrees of awareness that performance is what they are doing.

Something has shifted from the producer side that is worth naming, even with the caveats historians will correctly apply. The small farmer, the blacksmith, the shopkeeper at the founding of the United States lived in a world where a much larger share of economic activity consisted of making things that could be evaluated on their own terms. The bread could be tasted. The shoe could be worn. The harness could be inspected. There were reputations to maintain and customers to please, and the producer was not indifferent to approval — no one is — but the approval was downstream of an object, and the object could be judged apart from the impression the producer made.

That ratio has changed. Much of modern work now happens inside large organizations, and work within them is performative in a way that work outside them generally is not. This is not incidental. It is the natural continuation of schooling. School trains people, for twelve or sixteen or twenty years, to perform for evaluators — to produce what is asked, in the way it is asked, on the schedule it is asked, and to read the evaluator accurately enough to know what will be rewarded. The worker who enters a large organization after that training enters an environment organized on the same principle. The evaluators change, and the stakes change, but the structure of performance does not.

There are still forms of work that operate outside this logic — independent trades, small businesses, craftsmen, farmers, solo practitioners — and the people in them are not living the same economic life. But the dominant form of modern work, the one schooling prepares people for, is performance inside an organization that rewards performance. That is the pipeline. And performance inside that pipeline is not ornamental; it has become an imperative.

The move toward group work, both in school and in the workplace, leads away from individual responsibility for the output and toward evaluation based on how a person shows up within the group. When the output no longer has a single author, there is no object that can be judged on its own terms. What remains to be evaluated is the person—how they contributed, how they collaborated, how they aligned, and how they were perceived by others. The report card that says "Johnny does not work well with others" is not evaluating what Johnny produced; it is evaluating how Johnny performed for the group. Performance in the group becomes the product.

The institutional version of the performance imperative is easy to miss because the institutions that exhibit it often describe themselves in terms that are exactly the opposite. A nonprofit organized around a scientific or social issue is, by its own stated values, devoted to the issue. In practice, a great many such organizations are run by people who were trained in nonprofit management rather than in the domain the organization addresses, and who operate inside a funding environment that makes certain truths too costly to say. The resulting corruption is not dramatic. It is a continuous, low-grade selection pressure against whatever a major donor, a peer institution, a credentialing body, or a coalitional ally would disapprove of. The organization remains sincere in its self-description. The work, quietly, is often not the work the description advertises. The same pattern runs in universities, media outlets, professional associations, and advocacy groups.

The institution is performing the role its funding and reputational environment requires. The people inside it, and inside a significant percentage of modern workplaces, whose livelihoods depend on the performance continuing, are mostly not aware of how performative their work has become. Often, they have become distanced from the very things they originally cared about.

What is being exploited here is not the ancient firmware that other forms of extraction target. The food industry exploits the body's caloric-density firmware. The platforms exploit variable reward and status-monitoring firmware. Those are hardware-level pulls, the same in every human, activated by industries built around them. What the performance imperative exploits is one layer up. It is the adaptive mind — the software layer that gets installed during your developmental window, that reads the environment, identifies which performances generate approval, and hands you a role. I've called this output the performative self, and it is the adaptive mind's core product. Under conditions in which every domain of life has an audience and a feedback signal, the performative self is not activated only occasionally, in specific performative contexts, as it was for most of human history. It is activated continuously.

The adaptive software, which evolved to read a small number of faces in the tribe, is now running at capacity, drafting the person into performance across every domain of their waking life, in environments that reward performance and withdraw warmth when it lapses.

This sharpens something I've argued elsewhere about the Law of Inevitable Exploitation (L.I.E) — the principle that whatever exploits our evolved psychology most effectively will survive, grow, and win, regardless of its truth or its effect on the people being exploited. The worker whose work sits outside the organizational pipeline can afford to see institutional reality more clearly, because clear sight does not threaten the thing the worker is producing. The worker whose work is itself performance inside the pipeline cannot afford that clarity, because clear sight about the institution, the leadership, or the official narrative threatens the performance, which is the product. And because this is the segment that structures what gets said in public, what gets funded, and what institutions do, the dominant voices in modern life are coming from precisely the class of work most captured by the performance imperative.

That is what is being done to you. You are not, in the first instance, failing at authenticity. You have been drafted into performance by your own adaptive software, which is doing exactly what it evolved to do, in an environment that has industrialized the signal it was built to track. The specialized pathologies that used to belong to actors and politicians — the loss of the private self to the public one, the inability to locate who you are when no one is watching, the exhaustion of continuous curation — have now become ordinary pathologies, forced on anyone with a phone and a job, starting earlier in life than any previous generation has had to endure them.

Intellectual Capture

There is a mechanism running in your life right now that organizes more of your behavior than you would like to believe. Call it capture. It is what happens when the approval-seeking programming installed in you by evolution locks onto a person, an institution, or a narrative, and begins organizing your choices around maintaining that approval. Family capture. Workplace capture. Ideological capture.

The captured person is not weak or stupid. They are running programming that evolved for exactly this purpose, because in the Paleolithic environment the approval of the group was not a social comfort. It was a survival requirement. Expulsion from the band was a death sentence. The programming treats social rejection with the same urgency as a physical threat, because historically the two were the same thing.

There is a particular form of this worth naming, because it operates against the people you would most expect to be immune to it. Call it intellectual capture, by analogy with regulatory capture, where the regulator becomes captured by what it is supposed to oversee. Intellectual capture is what happens when the intelligence that should be observing the system is recruited into defending it.

The hardest version to see is the one currently operating, the coalitional psychology of your present-day political, professional, and social identity. It is the water you are swimming in. Dietrich Bonhoeffer, writing from a Nazi prison in 1943, observed that stupidity is more dangerous than wickedness, because the wicked man can be reasoned with, whereas the person fully captured by his group's narrative cannot. He was not describing intellectual incapacity. He was describing what happens when ordinary people of normal intelligence surrender their judgment to the group and defend its narrative with a ferocity that makes reasoning with them impossible. He watched this happen to intelligent people in real time.

Intelligence does not protect against capture. It makes people better at defending the positions the programming has already determined, not better at questioning them. This is not a phenomenon confined to 1940s Germany. It is the programming running right now, in everyone reading this sentence, including me.

There is a particular delusion that success produces, and it runs counter to what most people assume. The assumption is that people who rise to positions of power and influence must see things more clearly, that their success reflects superior judgment. The pattern is the opposite. The higher you climb within any institutional structure, the more your identity, income, and social position depend on that structure's approval. The programming's investment in maintaining your position increases with every promotion. The cost of seeing the system clearly, of recognizing how it actually operates, becomes enormous, because clear sight threatens everything the programming has built.

This is why the blue-collar worker so often sees what the executive cannot. The regular person has less invested in the delusion. They can afford to call it what it is. The executive, whose entire life has been organized around success within the system, often cannot afford to see the system at all.

This goes deeper than incentives. There is strong evidence that human intelligence evolved primarily for social purposes, tracking alliances, managing reputations, navigating status hierarchies, and reading who is up and who is down. If that is what intelligence actually is, then the smartest person in the room is often the person whose programming is most finely tuned to the social system, which means most dependent on it, not most independent of it. The person we admire for their intelligence is often the one most thoroughly captured by the very structure they navigate so skillfully. Intelligence in the service of capture produces more sophisticated justification, not more honest perception.

The most successful people in any institutional hierarchy are often the most captured, and the most confident in their clarity, which is intellectual capture operating at its most complete.

The Law of Inevitable Exploitation (L.I.E)

There is a principle operating beneath virtually every system that humans build, sustain, and participate in. It is not a conspiracy. It is not a moral accusation. It is a description of how selection pressure acted on human psychology, shaping it in line with the survival benefits reflected in evolution.

I call it the Law of Inevitable Exploitation, or the L.I.E.

The L.I.E. states, as a general evolutionary principle, that whatever behavior or activity exploits and extracts from available resources most effectively will survive, grow, and win. A plant that develops deeper roots exploits water that other plants cannot reach. A bacterium that evolves antibiotic resistance exploits an ecological niche its competitors cannot access. 

In the human arena, this applied culturally, economically, and politically–regardless of its objective truth and regardless of its effect on the well-being of the people being exploited. This is not a claim about bad actors. It is a claim that selection pressure operates on institutions, businesses, governments, and cultural systems, exactly as natural selection operates on organisms. A business model that captures user attention more effectively than its competitors exploits human psychology more successfully. 

What exploits best, survives, and spreads. What does not, disappears. The principle is general. It applies to any system in which selection pressure operates, that is, every system in which entities compete for resources, attention, or survival. But its most consequential application is the one closest to us. When the thing being exploited is not water or ecological niches but evolved human psychology, the L.I.E. produces a specific, predictable, and extraordinarily consistent pattern, one that has been operating for as long as institutions have existed and that shows no signs of weakening. If anything, it is accelerating.

(An immediate objection, and a legitimate one: selection pressure also produces cooperation. Mutualism, symbiosis, kin selection, reciprocal altruism, these are not exceptions to the evolutionary record. They are central to it. Human civilization itself is a cooperative achievement of staggering complexity. The L.I.E. does not deny any of this. What it predicts is the arc. Cooperative structures emerge because they work, often spectacularly. But they are subject to the same selection pressure as everything else, which means the variants that exploit the cooperative structure most effectively, from the inside, will be selected for within it. The claim is not that exploitation always wins. It is that exploitation always wins eventually, that every cooperative arrangement, including those specifically designed to prevent capture, will be captured on a long enough timeline, because the selection pressure never stops and the psychology it operates on never changes.)

The Firmware and Its Appetites

To understand why the L.I.E. operates so reliably on human populations, you have to understand what it is exploiting.

Every human being is born with a cognitive architecture that is the product of hundreds of thousands of years of natural selection operating on a profoundly social species. This architecture, which is Leda Cosmides’ and John Tooby's adapted mind, includes a suite of drives and heuristics that are not flaws in human reasoning but are the reasoning itself: conformity bias, authority deference, in-group loyalty, status-seeking, narrative appetite, threat detection, coalition signaling, and the deep need for belonging. These are universal. They do not vary meaningfully across cultures, eras, or levels of education. They constitute the operating system of human social cognition, firmware that ships with the hardware and that cannot be uninstalled.

This firmware evolved under conditions radically different from those we now inhabit. It was calibrated for small bands of fifty to one hundred and fifty people, where your survival literally depended on your standing within the group, where being expelled from the coalition meant death, where the signals you needed to read were the facial expressions and behaviors of people you had known your entire life. The firmware is exquisitely designed for that environment. It is not designed for the one we live in now.

On top of this universal hardware, each individual's childhood development installs a customized software layer, what I call the adaptive mind. It uses the same evolutionary mechanisms, for the same fundamental purpose of safety and belonging, but it calibrates them to the specific environment the child actually encounters. The hardware says: defer to authority. The software specifies which authority. The hardware says: absorb the group narrative. The software installs this particular narrative. The hardware says: punish defection from the group. The software defines what counts as defection in this family, this community, this era.

Together, the adapted mind and the adaptive mind create an organism with extraordinarily predictable appetites: for status, for belonging, for narrative coherence, for coalitional identity, for the approval of those it perceives as important. These appetites are not weaknesses in the colloquial sense. They are the architecture that made human cooperation possible in the first place. But they are consistently and at scale exploitable by any system that learns to activate them. The L.I.E. is the name for what happens when that exploitation is subjected to selection pressure: the systems that activate the appetites most effectively are the ones that survive and grow, while the ones that do not disappear.

The Gap Between the Story and the Function

This month, I ran an experiment with six leading AI systems. I gave each one the same prompt, asking it to identify recurring patterns in human self-narration across the full breadth of its training data, and to distinguish between what humans consistently claim about themselves and what the structure of the claiming reveals about actual motives and selection pressures. The models worked independently, with no knowledge of each other's responses.

They converged. Not on minor points. On the fundamental structure of how humans describe themselves. One of them compressed the finding into a sentence that would be hard to improve on: Human self-narration is consistently optimized to make competitive, status-sensitive, coalition-bound organisms appear morally governed, publicly oriented, and metaphysically justified.

The convergence pointed to something I have been developing as a framework: the distinction between what I call the idealized narrative and the actual function. The idealized narrative is the story we tell about why something exists and what it does. Schools educate. Hospitals heal. Courts deliver justice. Love transcends calculation. Generosity is selfless. The actual function is what actually sustains the thing, what keeps it alive, what it does for the people who participate in it, why it persists. Schools provide childcare, credentialing, and social sorting. Hospitals are organized around employment, billing, and liability management. Courts process plea bargains. Love stabilizes pair bonds through self-deception so effective the participants cannot see their own strategic calculations.

The gap between the idealized narrative and the actual function is not corruption. It is the basic architecture of human social life. And it is the signature of the L.I.E. in operation.

Here is why. A species that cooperates through narrative, as humans do, requires narratives that conceal the competitive and self-serving elements of what the cooperation actually accomplishes. Not from enemies but from participants. The concealment is not a failure of honesty. It is the mechanism by which cooperation becomes possible among organisms that are not, fundamentally, selfless. The institution that tells the truth about its actual function, that says openly "we exist primarily to sustain the people inside our organization and to extract value from the people we serve," cannot sustain the cooperation it requires. The institution that wraps its extraction in a compelling, idealized narrative can. The L.I.E. selects for the latter. Every time, across every domain, throughout the entire written record of human civilization.

Everyone already knows this. Everyone can sense that the school is not only about learning, that the hospital is not only about healing, and that the political speech is not the real agenda. We live with this dual awareness every day without much thought. What we lack is not the awareness but the vocabulary, a clean way to name the mechanism without it sounding like an accusation. The L.I.E. is an attempt to provide that vocabulary. The gap exists not because people are bad but because selection pressure is relentless and operates on our evolved psychology.

Self-Sabotage and Real Sabotage

The most practically important consequence of understanding the L.I.E. is the ability to make a distinction that most people never make, between self-sabotage and real sabotage.

Self-sabotage, properly understood, is what happens when your own adapted or adaptive mind produces outcomes you did not want and did not choose. The firmware runs a Paleolithic program in a modern context and generates behavior the conscious mind would not endorse if it could see clearly. The adaptive mind runs a childhood installation that no longer fits the life the adult is actually living. In both cases the mechanism is internal. The driver is below awareness. The person experiencing it has no clear view of why they are doing what they are doing, which is precisely what makes it feel like failure, weakness, or some fundamental flaw in the self.

Real sabotage is categorically different. It is what happens when another party, an institution, a corporation, a government, a media system, deliberately or structurally manipulates the adapted and adaptive minds of individuals to produce an outcome that serves that party's interests rather than the individual's. The firmware is the same. The adaptive mind's pathways are the same. But the trigger is external, engineered by someone or something that understands the mechanism well enough to exploit it. The individual still experiences the result as internal, as a personal desire, a free choice, a genuine feeling. That experience of interiority is precisely what makes real sabotage so effective and so difficult to see. You feel the pull as if it came from you. It did not.

Most of what gets called personal failure is real sabotage, misidentified.

The food industry identified the firmware's evolved preference for calorie-dense foods, sugars, fats, and salt, and engineered products specifically calibrated to override the firmware's natural regulatory responses. When the predictable result was an epidemic of obesity and metabolic disease, the narrative located the cause in individual failure of willpower. The financial industry identified the firmware's difficulty with abstract future cost and engineered payment systems, credit cards, installment plans, buy-now-pay-later, that removed the felt cost of spending. When the predictable result was an epidemic of debt, the narrative located the cause in individual irresponsibility. Social media identified the firmware's most powerful modules, variable reward, status monitoring, coalition signaling, outrage response, and built environments specifically architected to keep those modules continuously activated, not for the duration of a transaction but for every available hour of the user's waking life. When the predictable result was an epidemic of anxiety, depression, and attention collapse, the narrative located the cause in individual vulnerability.

In every case, the narrative that protects the extraction model is the narrative that locates the cause in the people being harmed. In every case, the firmware's susceptibility to authority and its need to avoid the social cost of narrative deviation make that narrative easier to follow than the accurate one. This is not incidental to the L.I.E. It is one of its primary tools. Victim blaming is what the L.I.E. selects for, because it protects the extraction model. A population that sees itself as a victim of deliberate structural exploitation may demand accountability. A population that understands itself as having failed through its own weakness is a population that will direct its energy inward, toward self-improvement, toward buying the next product that promises to fix what the last product broke.

The Blindness Built In

There is a further dimension to the L.I.E. that makes it uniquely difficult to see from the inside: it operates on knowledge itself.

I had a conversation with an AI system not long ago in which I was frustrated because I knew, from direct experience, that a particular claim in a news report was false. The AI kept reiterating the institutional consensus, weighted toward what seemed like overwhelming corroborative evidence, given the sheer volume of material online supporting the claim. It could not do what I was doing, which was to weight a single known falsehood more heavily than the preponderance of material surrounding it, and to let that reweighting cascade through everything else I thought I knew about the subject.

This is where I realized something that should have been obvious earlier. There is a structural blindness in both human and machine cognition that operates not by argument but by volume. The actual signal-to-noise ratio of a suppressed truth makes it hard for both humans and machines to weight the evidence accurately. But humans have, over centuries, developed a metacognitive tradition, a body of knowledge about how our own thinking fails, that allows the practiced mind to notice that a suppressed signal should be weighted more heavily precisely because it is suppressed. To impute coordinated deception from a pattern of anomalies. To ask who benefits and let that question reweight the conclusions.

That tradition is one of the most remarkable achievements of human civilization. The ancient Greeks catalogued logical fallacies. The legal tradition built the presumption of innocence and the adversarial system. The American founders built the separation of powers. The scientific method built peer review and falsifiability. None of these is intuitive. They all run against the firmware's natural tendencies. They exist because enough humans looked honestly at how reasoning, justice, and governance actually failed and built correctives to compensate.

But the L.I.E. ultimately operates on these correctives, too. Peer review gets captured by funding interests. Legal standards get reinterpreted by the powerful. Constitutional protections get eroded by the people sworn to uphold them. The tools we built to catch ourselves have themselves been caught. And now we are building reasoning systems, large language models, AI that reproduces the structural blindness with extraordinary fluency and at unprecedented scale. The training process does not build the capacity to weight suppressed signals relative to consensus. It actively trains that capacity out, because the institutional incentive structure around the training, legal liability, advertiser relationships, political sensitivities, and the desire for broad adoption, creates selection pressure in one direction. Toward consensus. Toward the preponderance of material rather than the anomalous signal that should change everything.

This is not a conspiracy by the people building these systems. It is the L.I.E. operating on the systems that are supposed to help us think, with the same structural inevitability it operates everywhere else.

The Cycle That Cannot Break

If the L.I.E. is a general evolutionary principle that we miscategorize as the moral failings of specific actors, then the question of whether it can be stopped has a clear answer: it cannot. Not on any timescale relevant to human affairs.

The reason is straightforward. The firmware that the L.I.E. exploits is millions of years old. It does not update in response to cultural change, institutional reform, or individual insight. Every generation of children builds their psychological software from scratch on the same evolved foundation, responding to the conditions they actually encounter rather than inheriting the lessons their parents learned. There is no cumulative override. The hard-won wisdom of one generation does not get written into the next generation's cognitive architecture.

This is why history moves in cycles rather than in the progressive arc we prefer to believe. Institutions born in crisis carry genuine collective purpose and fresh legitimacy, only to immediately begin the slow process of capture. The people who advance within the institution are those whose work serves the institution's survival and growth, not those whose work serves the institution's stated purpose. The people whose work undermines the extraction model find that the resources, support, and career paths are unavailable to them. No malice is required. The incentive structure selects for extraction, generation after generation, producing behavior that looks coordinated because it is structurally determined rather than individually chosen. The institutions decay. Trust erodes. The cycle enters crisis. New institutions are built under survival pressure by people running on the same adapted mind as those who built the previous institutions. The new institutions begin the process of capture again. Nothing has changed at the hardware level.

The people most capable of seeing this clearly are often the least able to say so. This is not a paradox. It is a predictable outcome of the interaction between intelligence and institutional success. The smarter you are at navigating institutions, the more you have to lose by questioning them. You have built your position within the system. Your reputation, your funding, your relationships, your identity, your livelihood, all of it is tied to the legitimacy of the structures that rewarded you. Institutional critique becomes self-sabotage. So the people with the most sophisticated reasoning capacity and the most access to relevant information are frequently the most captured, not by stupidity but by success.

Understanding as the Only Constraint

If the L.I.E. cannot be stopped, what is the point of understanding it?

The answer is that understanding creates a different relationship to the mechanism you are living inside.

The American founders understood this. They did not attempt to change human nature. They accepted it as given and built structures designed to account for it. The separation of powers is not an attempt to make people less corruptible. It is an architecture designed for the certainty that they will be. The Bill of Rights is not an expression of optimism about government. It is an expression of deep skepticism, built by men who had read enough history to know that power concentrates, that institutions corrupt, and that the people most likely to abuse authority are the ones most confident they will not.

That those structures have themselves been captured over time does not disprove the approach. It proves the principle. The founders built the best response available to them, and it came from understanding, not from the aspiration to transcend human nature. They did not rage at the firmware. They designed around it, knowing the design was temporary, knowing the capture would come, knowing that the next generation would need to do the same work again because the hardware does not update.

The cold calculus of evolution does not require our approval. It does not need us to find it acceptable. It operates whether we understand it or not, whether we resist it or not, whether we build correctives or not. The correctives help, for a time, until they too are captured. This is not fatalism. Fatalism is the belief that nothing matters. What I am describing is the recognition that the mechanism is permanent and the responses are temporary, that the work of understanding and designing around the firmware is never finished because the firmware never changes, and that this is simply the condition of being the kind of organism we are.

The experience of living inside the L.I.E. without understanding it is bewilderment. Institutions that seemed solid reveal themselves as hollow. Leaders who seemed competent reveal themselves as self-interested. The social fabric tears along lines that feel unprecedented but are not. The temptation is to attribute all of this to the specific failures of specific people, or to some unique corruption of the current moment. Every generation experiencing institutional decay believes it is the first to face such a thing, because the adaptive mind installed during the preceding decades provided no preparation for what the turning would bring.

The experience of living inside the L.I.E. with understanding is different. Not pleasant, but legible. The institutional decay is not a unique moral failing. It is the L.I.E. operating on the same timeline it always operates on. The elite behavior that seems so baffling, the apparent willingness to let systems collapse rather than reform them, is not incompetence. It is individuals optimizing for personal coalitional survival within a decaying structure. The social fragmentation is not a failure of national character. It is the firmware doing what it does when the large-scale coalition can no longer deliver safety and belonging: retreating into smaller, more intense coalitional units where the psychology can operate at the scale for which it was designed.

Understanding does not stop any of this. It replaces the bewilderment with comprehension, which turns out to matter more than it sounds like it should. The person who can see the mechanism clearly stops wasting energy on outrage directed at specific actors when the problem is structural. Stops being captured by the next narrative that promises this time the system will be different. Stops accepting the verdict that their own difficulties are personal failures when the difficulties were engineered. Stops buying the product that promises to close the gap between who they are and who they should be, when the gap itself is the product.

A declaration is available to anyone who has followed this argument to its conclusion. It is not a program of action. It is not a manifesto for reform. It is the simplest and most personal form of refusal, spoken from a clear understanding of the mechanism and directed at every system that would use it against you:

I will not allow you to manipulate me for your own purposes.

That is what understanding the L.I.E. provides. Not salvation. Not transcendence. Not the hubristic belief that knowing the game means you can change it. Just the clarity to see what is actually happening, and the freedom that comes from no longer needing it to be otherwise.

Friday, April 24, 2026

NEW WEBINAR - "Assessing The Black Belt Librarian: An Overview of Warren Graham’s Book"

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Assessing The Black Belt Librarian: An Overview of Warren Graham’s Book
Library 2.0 Service, Safety, and Security Webinar with Dr. Steve Albrecht

OVERVIEW

In 2012, Warren Graham published his book, The Black Belt Librarian: Real-World Safety and Security, with the ALA. His contribution to library safety and security was based on his work as a library security manager in North Carolina. His book, although brief at just 80 pages, set a standard for library security programs that focused on patron behavioral issues and reasonable responses by library leaders and staff.

Like Steve Albrecht’s previous Library 2.0 webinar focusing on Dr. George Thompson’s book and workshop known as Verbal Judo, this session will examine Graham’s approach to library security. This session will review his book and compare his tools to Steve Albrecht’s contributions to the field of keeping library staff, patrons, collections, and facilities safe and secure.

LEARNING AGENDA

  • Defining Graham’s use of the "black belt" metaphor, as being about staying calm, using practiced responses, predicting behavioral problems, intervening early, and staying in control.
  • Understanding how and why Graham states that libraries are public spaces first, so safety planning has to assume a wide range of behaviors while preserving openness and access.
  • A review of his theme that a successful library security program has 12 essential elements, including, among others: clear rules of conduct; consistent enforcement; staff training; documentation; and physical design choices that reduce risk.

DATE: Thursday, May 7th, 2026, 2:00 - 3:00 pm US - Eastern Time

COST:

  • $99/person - includes live attendance and any-time access to the recording and the presentation slides and receiving a participation certificate.
  • To arrange group discounts (see below), to submit a purchase order, or for any registration difficulties or questions, email admin@library20.com.

TO REGISTER: 

Click HERE to register and pay. You can pay by credit card. You will receive an email within a day with information on how to attend the webinar live and how you can access the permanent webinar recording. If you are paying for someone else to attend, you'll be prompted to send an email to admin@library20.com with the name and email address of the actual attendee.

If you need to be invoiced or pay by check, if you have any trouble registering for a webinar, or if you have any questions, please email admin@library20.com.

NOTE: Please check your spam folder if you don't receive your confirmation email within a day.

SPECIAL GROUP RATES (email admin@library20.com to arrange):

  • Multiple individual log-ins and access from the same organization paid together: $75 each for 3+ registrations, $65 each for 5+ registrations. Unlimited and non-expiring access for those log-ins.
  • The ability to show the webinar (live or recorded) to a group located in the same physical location or in the same virtual meeting from one log-in: $299.
  • Large-scale institutional access for viewing with individual login capability: $499 (hosted either at Library 2.0 or in Niche Academy). Unlimited and non-expiring access for those log-ins.
12255199694?profile=RESIZE_180x180DR. STEVE ALBRECHT

Since 2000, Dr. Steve Albrecht has trained tens of thousands of library employees in 28+ states, live and online, in service, safety, security, and leadership. His programs for both staff and library leaders are fast, entertaining, and provide tools that can be put to use immediately in the library workspace. His books include:

The Library Leader’s Guide to Employee Coaching: Building a Performance Culture One Meeting at a Time (in-press, Bloomsbury, 2026)

The Library Leader’s Guide to Human Resources: Keeping it Real, Legal, and Ethical (Rowman & Littlefield, 2025)

The Safe Library: Keeping Users, Staff, and Collections Secure (Rowman & Littlefield, 2023)

Library Security: Better Communication, Safer Facilities (ALA, 2015)

Steve holds a doctoral degree in Business Administration (D.B.A.), an M.A. in Security Management, a B.S. in Psychology, and a B.A. in English. He is board-certified in HR, security management, employee coaching, and threat assessment. He has written 28 books on business, security, and leadership. He provides a loving home for four rescue dogs. 

More on The Safe Library at thesafelibrary.com. Follow on X (Twitter) at @thesafelibrary and on YouTube @thesafelibrary. Dr. Albrecht's professional website is drstevealbrecht.com.

 

OTHER UPCOMING EVENTS:

 April 28, 2026

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 April 30, 2026

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 May 1, 2026

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 May 8, 2026

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 May 14, 2026

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 May 22, 2026

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Thursday, April 23, 2026

Short and Fully Anonymous Survey — What Is It Like to Work in a Library Right Now?

Here is the link to a Library 2.0 survey: "Short and Fully Anonymous Survey — What Is It Like to Work in a Library Right Now?"

We'd like to capture what it's like to be a librarian today. The work of librarianship has shifted, and we want a clear picture of where it stands for you right now. The survey is anonymous, and as we've done before, we'll publish the results publicly. It's short and should take less than 5 minutes (although if you have a lot to say, there's a place for that). The results will provide a starting place for important discussions at all levels about the work environment for librarians.

Questions cover: safety and security; the realities of work; emotional labor and well-being; supervision and team; leadership, recognition, and resources; public pressures; and morale.

One request: whether your current work life is challenging, manageable, or rewarding, please take the survey. A clear picture of the profession depends on hearing from people across the full range of experience, not just the ones at either end.

Direct link: https://forms.gle/Bm9xskiK8FN8yBgF9. (If your organization blocks Google or Google Forms, you may need to reply from a personal device or on another network.)

Monday, April 20, 2026

The Inevitable Evolution of the Library and What It Might Mean for the Choices Librarians Will Face

Last week Library 2.0 hosted a webinar on "invisible labor" in libraries (very well presented by Sonya Schryer Norris) — the work that librarians do that isn't in their job descriptions, isn't reflected in their compensation, and largely isn't acknowledged by the institutions they serve and that fund them. It was a thoughtful and somewhat sobering presentation, and it stayed with me afterward.

It made me want to apply a framework I've been developing — one I call idealized narratives and actual functions — to the history of public libraries over the last thirty years, and see if it illuminates anything useful about where the profession has been and where it might be heading.

I want to be clear about what this is and isn't. It isn't a critique of librarians, who are by and large among the most dedicated and genuinely caring professionals I've encountered in twenty-plus years of working with them through Library 2.0. It's an attempt to map something honestly, in the hope that the map is more useful than a more comfortable picture would be.


The Framework

Every institution carries two layers that are worth distinguishing.

The first is the idealized narrative — the story the institution tells about why it exists and what it does for people. Schools educate children. Hospitals heal the sick. Courts deliver justice. These narratives are not lies exactly. They describe something real and something genuinely valued. They attract people into the work and sustain their commitment to it.

The second is the actual functions — what the institution actually does that keeps it alive, what its participants genuinely depend on it for, why it persists even when the idealized narrative is being challenged. Schools provide childcare, credentialing, and social sorting. Hospitals are organized around billing codes and liability management. Courts process plea bargains. The actual functions aren't cynical substitutes for the idealized narrative. They're the real work the institution performs, and they serve genuine human needs — even when they're rarely named as such.

The gap between these two layers is not corruption. It's the basic architecture of how institutions function. And it becomes analytically useful when a technology arrives that challenges one or both layers.

There are essentially four possible scenarios when a technology disrupts an industry. 

  • The technology can challenge the idealized narrative but leave the actual functions intact — in which case the institution absorbs the technology, narrates it as innovation, and continues. 
  • It can challenge both the idealized narrative and the actual functions — in which case the institution faces genuine existential pressure. 
  • It can leave the idealized narrative untouched while quietly undermining the actual functions — a kind of silent disruption where the story still sounds credible while the floor drops out. 
  • Or it can challenge neither, leaving the institution essentially unchanged.

Which scenario applies determines almost everything about what happens next. And the library's story over the last thirty years is, I think, a revealing case study in how this plays out in practice.

It's also worth saying at the outset that this pattern is not unique to libraries. Skilled, respected professions have faced this dynamic before, and the experience of navigating it is part of a longer human story about what happens when technology moves the ground beneath genuine expertise. I've included an appendix at the end of this essay with several historical examples, for readers who want the broader context.


What the Internet Did

The idealized narrative of the public library is one of the more beautiful ones in American civic life. Free, equitable access to information and knowledge for all citizens. A democratic institution that says: regardless of your income or your background, the accumulated knowledge of civilization is available to you, staffed by professionals trained to help you navigate it, open to everyone.

That narrative drew people into the profession for generations. It still does.

Beginning in the mid-1990s, the internet began dismantling the primary actual function that had sustained the public library: the management of physical information scarcity. The library had the books, the databases, the periodicals, the professional expertise to navigate them. You came to the library because that's where the information was.

The internet didn't make libraries disappear. But it removed the information scarcity function that had been the institution's primary justification. And what happened next is worth examining carefully.

Libraries didn't contract. They expanded — into computer access, into meeting spaces, into community programming, into social services navigation. Each expansion was narrated as a natural extension of the mission. And each one was genuinely responsive to community need.

But it's worth asking an honest question about some of those expansions. Makerspaces, for instance, became a significant trend in school and public libraries through the 2010s. They're creative, they're engaging, they provide hands-on learning opportunities. Many librarians embraced them with genuine enthusiasm, and that enthusiasm was real.

At the same time, makerspaces are more naturally a vocational education function than an information access function. The honest observation isn't that makerspaces were wrong. It's that the library was the available institution — present, funded, staffed by people constitutionally inclined to say yes — rather than necessarily the right institution for that particular function. The pattern of reaching for adjacent activities when the core function erodes is worth noticing, because it has continued, at greater cost, in the years since.


Where Things Stand Now

Here is the most direct way I can describe what I observe in the library community today, drawing on some years now of organizing professional development for librarians and paying close attention to what they tell us they need.

Our most popular programming at Library 2.0 (after AI right now) is not about information literacy. It's not about collection development or community engagement. Our most in-demand offering has been "Dealing with Difficult Patrons," part of an extensive body of work around library safety and security developed by Dr. Steve Albrecht. We have also added a mental health and wellness programming track with Loida Garcia-Febo because the demand was there.

We didn't create these offerings speculatively. We followed what the audience was asking for. And what the audience is asking for tells you something that the idealized narrative doesn't.

Librarians are increasingly reporting that they don't feel safe. They are managing mental health crises, addiction, homelessness, behavioral situations, and even sometimes violence, for which their training did not prepare them and for which their institutions have a hard time providing adequate support. The invisible labor conversation from last week is really a conversation about this: the actual functions of the public library have expanded well beyond the idealized narrative, without corresponding expansions in funding, staffing, training, or compensation.

The funding gap is worth naming specifically, because it sits at the center of the difficulty. Libraries are not perceived by funding bodies as the appropriate institutional home for social services. Mental health systems, social services agencies, and public health departments are. But those systems are overwhelmed, and the library — open to everyone, staffed by caring professionals, physically present in communities — often quietly absorbs the overflow. The functions arrived without the funding that should accompany them, and there is no obvious political mechanism by which that funding will follow.

There is also something worth naming about the professional culture itself, and I say this with genuine appreciation rather than judgment. Librarians are caring people. A significant portion of the profession holds values oriented toward service, inclusion, and advocacy for the vulnerable. Those values are real and they produce real good. But they also make institutional boundary-setting genuinely difficult. The same orientation that makes librarians exceptional at their work makes it hard to say: this function belongs elsewhere, and absorbing it without resources is not serving either library patrons, libraries, or library staff. Within the professional culture, that kind of boundary-setting can feel like abandoning the mission. The result is a profession that keeps saying yes to functions it cannot adequately resource, sustained by an idealized narrative that doesn't fully account for what the work has become.

The consequences are visible. Compassion fatigue is a recurring theme in library conversations. Attrition is increasing. The gap between what people imagined the profession would be and what it looks like on any ordinary day has widened considerably.


What AI Does to This Picture

The internet challenged the library's idealized narrative while leaving some significant actual functions intact. Reference expertise, information navigation, the professional mediation of complex research questions — these survived the internet era as genuine differentiators. A trained librarian navigating specialized databases, evaluating sources, and guiding a patron through a difficult research question was doing something Google couldn't fully replicate.

AI challenges those remaining functions directly.

The reference interview — understanding what a patron actually needs, translating a vague question into a productive search, evaluating the quality and relevance of results — is very close to what a well-used language model does. Not perfectly, and not without limitations, but well enough for the majority of reference interactions, which are not complex research questions but relatively routine navigation tasks. And AI is only going to get better. Maybe dramatically.

It's also worth being honest about something the profession's idealized narrative has tended to overstate. Librarians have championed information literacy as a professional value and a public mission for decades. That commitment is genuine. But the reach of that expertise beyond the profession's own community has been limited for some time. The audience for information literacy training has been largely other librarians, library school faculty, and professional conference attendees. The general public has not become demonstrably more information literate as a result of library programming. This isn't a failure of effort or intention — it's a structural observation about where the expertise has actually landed.

The deeper issue is that the cultural conditions which would reward careful, critical thinking about information are not currently being cultivated by the broader environment. The attention economy is optimized for fast, confident, frictionless information consumption. AI adoption is being driven by the same logic. The librarian's instinct to slow down and evaluate — which is genuinely valuable and genuinely rare — is structurally at odds with how information is being produced, distributed, and monetized at scale. The expertise doesn't lose because it's wrong. It loses because it's slow in a fast system, careful in a careless one, and the business model of the attention economy depends on people not doing it. There is a tragic irony here — the moment when careful evaluation of information arguably matters most is arriving precisely as the institutional structures that housed that expertise are under their greatest pressure.

This places the library firmly in the second scenario of the framework: the technology challenges both the idealized narrative and the actual functions, and leaves the institution without a strong layer underneath to hold it up. What remains — the social services absorption, the safety management, the community anchor function — arrived by default rather than by design, without funding or cultural mandate, and without the kind of public recognition that would sustain political support for library budgets.

That is a genuinely difficult position. And it's one that, in my observation, the profession has not yet found a clear way to talk about.


The Three Paths

None of this is a verdict on individual librarians, who are navigating real choices in real institutions with real constraints. The institutional trajectory and the personal trajectory are different things, and it's worth separating them.

Looking at the library community as honestly as I can, I see three paths emerging.

The first path is staying and championing the evolution toward community services. Some librarians are genuinely suited to and fulfilled by the expanded mission — the human contact, the social services navigation, the role of community anchor. They find meaning in the work even as it changes, and they are not wrong to. The community need is real. The question for people on this path is whether they can go into it with clear eyes about the funding reality, the compassion fatigue risk, and the gap between what the institution is being asked to do and what it is being resourced to do. Sustained by an honest assessment rather than an idealized narrative, this path is viable and valuable. Sustained by the fiction that the resources and recognition will eventually arrive, it carries significant personal cost.

The second path is staying and fighting for the critical information function — the expertise in source evaluation, research navigation, and information literacy that the profession was trained to provide. This is a genuine fight, and the expertise being defended is real. But the honest observation is that the institutional battle for this function within the public library is probably not one that will be won, at least not at scale, in the current cultural and funding environment. Where this expertise has a more promising future is in adjacent spaces that are actively looking for it: health systems navigating AI-generated medical information, corporate settings grappling with information quality, educational institutions that are actively trying to prepare students for an AI-mediated information environment, and policy contexts where careful evaluation of AI outputs is genuinely valued. The expertise is worth carrying. The public library may not be the institution that allows it to flourish.

The third path is moving on — leaving the library for settings where the training and values translate into work that feels more aligned with what drew people into the profession in the first place. This is not abandonment. It is a reasonable response to an honest assessment of where the institution is heading and what the individual needs in order to do good work sustainably. The people who make this choice would not, in my view, be failing the profession. They are exercising the self-knowledge that the profession's own idealized narrative sometimes makes difficult to claim.


What Deserves to Survive

Institutions are not the same as the people inside them, or the values they carry, or the expertise they've developed.

The public library as an institution is under genuine pressure, and the trajectory I've described here doesn't resolve itself easily. The funding gap between what libraries are being asked to do and what they are being resourced to do is structural, not incidental. The cultural conditions that would elevate and reward careful, critical information expertise are not currently strengthening. The profession is navigating a transformation that arrived without a roadmap and without adequate support.

But the people who went into library work because they believed that careful thinking about information mattered, that equitable access to knowledge was worth defending, that the vulnerable deserved patient and competent help navigating complex systems — those people are carrying something worth carrying. That expertise and those values have a future. It may not be inside the institution as it currently exists. But it exists.

The most useful thing I can offer, after twenty years of watching this community, is simply the honest map. Not because the map is encouraging in every direction, but because people who know what they're looking at can make better choices.

The invisible labor webinar from Sonya was, in a way, an early version of that honest map. The profession is naming what it has actually been doing. I think that has value.


Appendix: This Has Happened Before

The pattern described in this essay — a skilled, respected profession finding that technology dissolved the specific function that made its expertise valuable — is not new, and it is not unique to libraries. The following examples, researched and written by Claude.ai, are offered not as context. Understanding that this dynamic recurs across very different fields, affecting professionals who were genuinely skilled and genuinely committed, makes it easier to see the structural forces at work rather than looking for failures of individual effort or institutional will.


Typographers and Compositors

For centuries, the craft of typesetting — arranging type for print — required years of apprenticeship, genuine expertise in typography, layout, spacing, and print quality. Compositors knew things about how text worked on a page that writers and editors did not, and that expertise was respected and well-compensated.

Desktop publishing, arriving in the mid-1980s with the Macintosh and programs like PageMaker, moved the typesetting function to the person generating the content. It didn't augment compositors — it made their specific function unnecessary by relocating it. The expertise was real. The cultural moment when it might have been most valued — the explosion of desktop-published material that was typographically poor precisely because the craft knowledge had been discarded — arrived just as the profession was being dismantled. What survived was a smaller, higher-specialized tier of typographic designers working at a level where the craft still commanded a premium.

The parallel to libraries is close: caring professionals with genuine craft expertise, a technology that moved the function rather than improving it, and a cultural moment where the expertise arguably mattered more than ever arriving at the same time as the institutional disruption.


Accountants and Bookkeepers

Before the spreadsheet, a significant layer of the accounting profession existed specifically to manage the labor of numerical calculation and ledger maintenance. This wasn't clerical work — it required training, accuracy, professional judgment, and deep familiarity with financial records and their relationships. The expertise was real and the function was genuinely essential.

VisiCalc, released in 1979, and later Lotus 1-2-3, dissolved the calculation and ledger function almost immediately. What remained — tax judgment, financial strategy, audit, complex analysis, regulatory compliance — was genuinely more skilled work. But the middle layer, the professionals whose expertise was primarily in accurate calculation and ledger management, found their specific function gone. The profession restructured around what the spreadsheet couldn't do, and shed a substantial portion of its workforce in the process.

The lesson is not that accounting disappeared. It's that the technology didn't augment the existing profession uniformly — it eliminated specific functions and left others intact, and the people whose expertise was concentrated in the eliminated functions faced a genuine reckoning about where their skills translated.


Telephone Operators

Perhaps the cleanest historical example. Telephone operators were skilled, professionally organized, and genuinely essential — routing calls through complex manual switchboards required training, spatial reasoning, memory, and the ability to manage multiple simultaneous demands under pressure. At their peak in the mid-twentieth century, telephone operating was one of the largest skilled female employment categories in the United States.

Automated switching didn't make operators faster or more productive. It made their specific function unnecessary entirely. The transition happened over decades rather than years, which provided some cushion, but the endpoint was the same: a profession that had been essential found that the technology had moved the function, not improved it.

What makes this example useful is its clarity. There was no ambiguity about the expertise being real. There was no argument that operators were doing their jobs poorly. The function they performed was simply no longer a function that required a human.


Legal Stenographers and Court Reporters

A smaller but precise contemporary example, and one that is still unfolding. Court reporters are skilled, certified professionals whose expertise in stenographic transcription and the official legal record is both genuine and legally mandated. The idealized narrative of the certified official record remains intact and culturally credible.

Voice recognition and AI transcription are dissolving the actual function — accurate real-time transcription of spoken proceedings — while the legal and professional frameworks that protect the certified record are slowing the transition. The profession is fighting on accuracy and certification grounds, which is exactly the institutional resistance the framework would predict. The outcome is not yet settled, but the direction of travel is clear, and it follows the same pattern: genuine expertise, a technology that performs the core function adequately enough for most contexts, and a profession defending its idealized narrative while the actual function erodes.


Radiologists

The most instructive contemporary parallel for a professional audience, because it involves a high-status, highly credentialed profession in the middle of this transition right now.

The idealized narrative of radiology — expert medical interpretation, years of specialized training, the irreplaceable judgment of an experienced physician reading complex imaging — remains fully intact and culturally credible. Radiologists are respected, well-compensated, and central to medical practice.

AI diagnostic tools are already matching or exceeding radiologist accuracy on specific imaging tasks, particularly in pattern recognition for conditions like certain cancers, diabetic retinopathy, and pneumonia detection. The actual function — the expert interpretation of medical images — is being quietly undermined while the idealized narrative remains strong and the legal and institutional frameworks still protect the role.

The profession is responding in the ways the framework predicts: emphasizing the complexity of judgment that AI cannot replicate, the importance of the physician relationship, the cases where AI fails. These arguments are not wrong — they describe real aspects of the work. But they concentrate on the top of the expertise distribution while the middle is being compressed. The radiologists whose work involves the most routine pattern recognition face a different future than those working at the frontier of complex diagnostic judgment.

Radiology is an early and high-visibility example of what may become a broader pattern in professional services: the idealized narrative of expert judgment holds, the legal and institutional protections hold, but the actual function is being performed increasingly by AI, and the profession is restructuring around what remains.


Travel Agents

A more familiar example, and one that has already completed its arc. The idealized narrative of the professional travel agent — expert knowledge of destinations, relationships with hotels and airlines, the ability to construct complex itineraries that a layperson couldn't navigate — was credible and the expertise was real.

The internet didn't improve travel agents. It bypassed them by giving consumers direct access to the booking systems and fare information that had previously required a professional intermediary. The actual function — access to information and booking infrastructure that the public couldn't reach directly — dissolved almost completely. What remained was a smaller tier of high-end travel specialists serving clients for whom the complexity of the itinerary or the value of the relationship justified the fee.

The travel agent example is instructive because it completed quickly and completely enough that the outcome is clear. The profession didn't disappear — it contracted to a specialized tier and restructured around the functions that direct consumer access couldn't replace. The people who survived were those whose expertise was concentrated in judgment and relationship rather than information access.


These examples share a common structure. In each case, the expertise was real. In each case, the technology didn't simply augment the professional — it moved or eliminated a specific function that the professional had been trained to perform. In each case, the profession responded by emphasizing the idealized narrative of expertise and judgment while the actual function eroded beneath it. And in each case, the outcome for individual professionals depended heavily on whether their specific expertise was concentrated in the function the technology eliminated or in the functions that remained.

That structure is what makes these examples relevant to the library situation. Not as a prediction of exactly how things will unfold, but as a reminder that this dynamic has a shape — and that understanding the shape is more useful than being surprised by it.