# On Stratified Attention, Part 3 of 3, The Teachable Hive

The Onus of Adaptability Must Be Shared by Organizations

Oct 13, 2026, Ian Belknap

**Part 3 - The Teachable Hive**

In [Part 1](https://zerowidth.ai/journal/on-stratified-attention-part-1-of-3) of this 3-parter, I talked about how the notion of Stratified Attention was a kind of stealth problem-solving capacity that requires some measure of patience and trust - using a recent example from my own novel-writing experience as an instance where a form of subterranean heed came to my rescue in unsnarling some literary trouble I was having. In [Part 2](https://zerowidth.ai/journal/on-stratified-attention-part-2-of-3), I described the pitfall of the Division of Dignity Fallacy, which holds that humans = higher brain function; bots = grab a shovel, dumdum, and how **ZeroWidth** co-founder **Pete Binggeser** was a sound cognitive model for the kinds of orchestrated, observed thinking that’s going to maximize impact and effectiveness in this AI era. So far, all of this series has concerned itself with the individual scale of AI and its impacts, as well as the adaptations we believe will serve people well in folding AI-enabled technologies into their work. Let us now turn to the enterprise side of this Cognition Ledger.

To review a couple of the truths - truths that, at the individual level, are mostly taken to be self-evident:

**Thinking is Work**. We all know this. We all feel this. The trouble with the culture of too many organizations is that, given the reality that this form of work is not *observable*, it cannot therefore be *supervised*. As such, it too frequently goes unrecognized, too often gets dispensed with in terms of a company’s planning, forecasting, scheduling, etc. There can be this weird blind spot where the leaders of an organization or department will wish obviously for thinking to have taken place, but no allowances of time and space and personnel are made for it to take place. A misread of this reality might hold that such leaders are dimwitted themselves so have precious little experience with the act of thinking, so have no basis for including it in their dopey, dopey projections. And while, yes, there is no shortage of dim bulb so-called leadership out there (*who among us has not at some point found ourselves asking of a misguided supervisor “HOW do you have this job?”*) it is usually more accurate and fair to say that such lapses are more likely attributable to other pressures - what the competition’s up to, fast-looming deadlines, the expectations of higher-ups, the weight of economic demands both internal and external, etc.

**Thinking is HUMAN Work**. As tempting as we for some reason find it, there is no technology that can substitute for our ability to think. Probing analysis, genuine ingenuity, impactful synthesis - these are all manifestations of human capacities.The fallacy that any technological platform or system can step in and step up to supplant or even replicate these capacities must be resisted and refuted. Wherever it takes hold, companies are bound to yield to (very real) economic pressures of scale and expediency and permit these human capacities to be taken on by technological proxies that lack these fundamental abilities. The resulting “thinking” will prove naive, or deluded, or solipsistic, or derivative, or otherwise deficient in a dozen different ways. We at ZeroWidth have said this elsewhere and will continue to holler about it till it’s come to be widely ingrained in the public mind: **AI is an INGREDIENT technology**, an undeniably helpful and time-saving thing in certain respects, but offers NO adequate substitute for human thinking.

As a well-grizzled American person, in (what passes for) my adulthood, I have been present for at least three seismic, society-scale upheavals - the attacks of 9/11, the global financial meltdown of 2007-08, and the Covid pandemic. Each of these in their time were purported by many to represent a fundamental recasting of the nation’s spirit, a profound and irreversible course-correction of the path we were on, a tectonic remaking of the landforms underfoot. And while each of these crises had the potential to bring about this kind of foundational national transformation - of our character, of our priorities, of our aspirations - not one of them (to this observer, at any rate) succeeded in effecting anything like change of this depth.

In the wake of 9/11, a moment that could (and in my view ought to) have represented a period of reflecting on our roles as citizens and neighbors to each other and the rest of the world, our so-called leaders failed us. At what should have been a once-in-a-century moment to rally us, to galvanize by summoning the loftiest and most expansive of our aspirations, we were exhorted by not to *elevate* our sense of who we are and wish to become, but to *constrict* this sense, to regard ourselves *foremost* as cogs in the nation’s economic machinery. We were urged, in other words, to hit the mall and resume our places at the conveyor belt of heedless consumerism. Which turned out to have just been cover for a mess of bad policy.

Then when the global financial crisis torched a coupled generation’s worth of accumulated and attempted wealth, there was more bad policy to step in and save some of the very institutions that had caused the crisis in the first place. We were all urged to embrace new less material pleasures - to take up hobbies and volunteer, to devote our time to pursuits that were less oriented toward chasing money. We were enjoined to revise downward the scale of our prospects, to defer (or abandon altogether) our plans to buy first homes or retire in comfort. As individual consumers and citizens, we obviously are not too big to fail - investment banking and insurance firms are - so rescue measures are extended to these, while we all get urged to reduce the scope of our futures.

And when the Covid pandemic sequestered us all away from one another and caused many of us to lose our livelihoods, we were instructed to stave off the madness of our isolation by learning to crochet and approximating social gatherings and live performances via video conference. Millions across the country and world necessarily adopted remote work - there was a learning curve, obviously, but we did pretty well with it. The moment the plague-tent quarantines were eased, all the rhetoric about prioritizing employee wellness, all the “at *Globotech*, we’re family” sentiments dried up quickly when companies were confronted with the rude reminder about their financial burden of tons of downtown commercial real estate, a burden they were obligated to pay for whether there was workforce inside or not. Return-to-in-person-work mandates become widespread and workers - many of whom had discovered that for a variety of reasons (young kids at home, caregiving for elder relatives, their own mental and physical health, etc.) they preferred to work from home - were compelled to return to office whether they wished to or not. But even more salient to the point we’re attempting to make, here: the question of corporate culture and policy. Where the so-called leadership structures within organizations were based upon compliance and direct supervision, companies demonstrate a foundational lack of trust in their workforce.

A common thread I see in all these crises is that **the onus of adaptation falls to individuals**. Institutions - corporate, governmental, nonprofit - after (often begrudgingly) implementing *temporary* accommodations to upheavals of circumstance will revert to business as usual, shifting the work of long-term acclimation to permanent changes in prevailing conditions from the institution to individual workers and customers. This is reductive and wrongheaded and unfair, to be sure - but it is furthermore ineffective over the long term. It creates and perpetuates conditions where workers burn out and customers grow wary. If loyalty may be said to be one of the currencies an enterprise needs in order to prosper, then the ways it treats its people must factor into cultivating this currency. In order to earn trust and loyalty, organizations must demonstrate a willingness to and ability to adapt along with the individuals who work for and buy from them, a recognition that in the face of permanently changed conditions, they are capable of keeping pace with the changes their people must contend with.

Speaking for myself, my memory in this regard is long. Where I see companies that violate principles they’ve professed to hold, whether it’s bailed-out financial institutions engaging in predatory lending or consumer brands name-chacking national tragedies in cynical marketing or using my money to back fearmongering political candidates, tax-exempt churches politicking from the pulpit or companies whose rhetoric claims to value its people while its policies are dehumanizing and exploitative - I take such factors into account when deciding where to spend my finite dollars and where I devote my finite time and attention. I’m certainly not alone in this.

A vital concept to incorporate into our understanding of this present moment is that **AI is unlike any preceding technology - it is its own CATEGORY of technology**, in that it is the first to be legitimately considered to interact with us, to respond and adjust to us, to learn from and revise in relation to us. The precedents we have, our well-established tendencies to revert to our business-as-usual defaults, the “factory presets” on how we function as organizations cannot pertain. If we agree that the advent of these technologies heralds the arrival - not the promise, not the prospect, the *arrival* - of a new age of work, then the organizations we lead must demonstrate a readiness to be as adaptable as every individual in confronting this new reality.

So it follows that if companies resolve to retain talent, to prevent brain drain, they would be well served in the long run by devising and adopting policies that are as mindful of worker wellbeing as they are of their bottom line. In Part 1 of this series, I talked about the subterranean nature of some forms of cognition, and in Part 2 described how **ZeroWidth** co-founder **Pete Binggeser** engages in what I call Observed Cognition - both of these aspects of cognition have this in common: they are accretive. Each instance where my Novel Writing Brain is assured that its trust in the Unseen Depths is not misplaced results in a less stressful encounter with comparable future difficulties; each time Pete logs a Deep-Noticing aspect of his cognitive processing, it gets added to the overall sense of things, a new page in the operating manual, so to speak. You and he and I are Learning Animals, and as such have a native tendency to fold new inputs into the way we do things - everything from tips-n-tricks type stuff up through broad concepts and principles.

IF, then, we hold the above ideas in mind - that **Thinking is Work**, and furthermore that **Thinking is HUMAN Work**, and consequently that these forms of work have VALUE to an organization, then it makes operational and economic sense to create environments that allow for and reward this work. The role of trust becomes indispensable here, because thinking, crucially, is not readily observed. We can infer that someone is or is not thinking, but cannot empirically *prove* that they are. And so many of the systems we have in place that have shaped our work lives have to do with the collection of the trackable, the countable, the overt. The number of observable minutes we’re clocked in at our work stations perhaps makes sense if we’re on an assembly line or working in a foundry - settings where there is effectively a one-to-one relationship between physical presence and location-dependent effort and work product, where outputs are the direct result of time- and place-based activity.

But in work where *ideas* are the outputs, it makes far greater sense to make allowances for the idiosyncrasies of those responsible for generating them. As noted in Parts 1 and 2 of this series, ideas can require various things to fully develop - setting a problem down and turning your attention elsewhere, say, or having a conversation with a colleague about a seemingly unrelated topic, deep engagement with some other arena of activity, etc. In order for an organization to foster the kinds of excellence and innovation they all claim to want, they **MUST cultivate the climate of trust and flexibility of approach that permit thinkers to think**.

Which is a transition far bigger than the open-floor-plan-free-snacks-foosball-table approach that’s become a cliche of so-called creative workplaces, it necessitate a profound shifts to the *culture* of your organization - to the values you enact, the priorities you pursue, your means of assuring that the methods by which your organization operates are consonant with the principles it professes to hold. And we’re not talking about drafting some static *Code of Conduct* doc that’ll get tucked into a binder and never referred to again, but a lively, dynamic, responsive ecosystem that accommodates multiple modes, styles, cadences, and likely as not varying degrees of physical presence.

If (as we must) we accept the premises above as key to the realities of an individual in this changed technological landscape, which again, are::

**Thinking is work.**

**Thinking is exclusively human work.**

**AI systems CAN have transformative power in helping us conceive and make stuff, BUT that**

**AI systems are INGREDIENT technologies only able of providing (important, yes, even vital) ASSISTS to human cognition that CANNOT substitute or supplant human thinking.** *(See the Distributed Cognition “Mindset Myths” posted last year to help frame and interrogate your own organization’s often unexamined beliefs on this question, and the default policies that arise from these beliefs.)*

And that the following condition must therefore pertain to any organization that resolves to be as adaptable and responsive to the shifting technological landscape as it expects its employees to be: it must create and preserve an ethos that is thinking-friendly.

This will involve operational considerations, obviously - an elevated tolerance for remote work, say, or the cordoning off of Solitary vs. Communal spaces, etc. - whatever ways people concur would improve the prospects for the human work of thinking.

Organizations must become willing to remake our workplaces to reflect these realities. The “observe and report” and/or “surveil and control” models of compliance-based performance expectations are dumb. And boring. And a needless time suck. The weirdest element of the tenacity with which these models persist is that just about everybody agrees that they’re counterproductive. Yet the “feet flat, eyes front, at work station” mold - a structure better suited to a Victorian classroom or a guard towered prison than a 21st century workplace.

Also: the decades-old fallacy of “knowledge work” does not pertain - all work demands knowledge of various sorts and making divisions about which forms of knowledge have greater worth is a counterproductive form of snobbery. (co-founder **John Cain** ID’d a concept he calls the “Dignity Divide” [HERE](https://www.linkedin.com/pulse/crossing-dignity-divide-zerowidth-yphye/?trackingId=0t%2B4IUVuZlqY282ABHu4OQ%3D%3D)) Thinking about human work this way renders an organization unready and ill-suited to dealing with the realities of layering AI technologies into their processes - if there is the grit of this kind of snobbery in there, the “smart workplace” pearls you’re trying to grow will be flawed, they’ll reflect a warped set of assumptions and the processes arising from such deficiencies in planning with be full of snags and frustrations, your results will fall short of expectations that lead to more work and time spent, not less.

In short, for organizations to reap the benefits of these technologies, they must be as nimble and responsive to the changes they bring about as any team or individual on the payroll, any category of customer. The organizations that prosper in this upended landscape will be those that onboard the use of these technologies as mindfully as they would any key staffer.

An organization, in other words, must undertake some of the human work of thinking.