The Question Beneath the Forecast
Every serious discussion of artificial intelligence and work eventually arrives at the numbers. Goldman Sachs projects that AI could affect the equivalent of 300 million full-time jobs globally. Anthropic’s CEO has warned that 50% of entry-level white-collar positions could be eliminated within the decade. The IMF’s Kristalina Georgieva has called it a “tsunami hitting the labor market.” The World Economic Forum projects 92 million jobs displaced and 170 million created — a net positive figure that conceals, in its arithmetic tidiness, an enormous and unevenly distributed ocean of human disruption.
These are important numbers. They will be cited in congressional testimony, debated in academic journals, and used to justify an expanding range of policy proposals. They are the vocabulary of the economic conversation about AI, and that conversation needs to happen.
But there is a prior question — one that no displacement curve, no net job creation figure, no retraining program, and no Universal Basic Income stipend can answer on its own: What happens to meaning when the work goes away?
This is not a philosophical abstraction. It is a clinical and public health question of the first order. And the framework that is most adequate to addressing it is not economic. It is salutogenic.
What Aaron Antonovsky Knew About Work
Aaron Antonovsky — the medical sociologist whose foundational work in the 1970s and 1980s gave us the salutogenic paradigm — was asking a question that his field had largely forgotten to ask. Not “what makes people sick?” but “what keeps people healthy?” Not the origins of pathology, but the origins of health. Saluto-genesis.
His answer was the Sense of Coherence (SOC): a global orientation that expresses the extent to which a person experiences their life as comprehensible, manageable, and meaningful. These are not abstract philosophical categories. They are measurable, empirically validated dimensions of how human beings navigate the stressors that are, in Antonovsky’s view, omnipresent and inescapable features of human existence.
Comprehensibility is the cognitive dimension — the sense that one’s world is structured, predictable, and explicable. Things make sense. The future can be anticipated. When something unexpected occurs, it can be incorporated into an understanding of how the world works, rather than experienced as random chaos.
Manageability is the resource dimension — the confidence that one has access to the internal and external resources needed to meet life’s demands. Not that the path will be easy, but that one has what it takes to walk it. The skills, the relationships, the institutional support, the accumulated competence to cope.
Meaningfulness is the motivational core — Antonovsky called it the most important of the three. It is the sense that life’s demands are worthy of investment and engagement. That what one does matters. That the effort is worth making. That one’s life is connected to something larger than mere survival.
Antonovsky was explicit about work’s relationship to the Sense of Coherence. In order to be salutogenic, work needs to be comprehensible, manageable, and meaningful. He emphasized consistency, an appropriate balance between underload and overload, and opportunities to participate in decision-making as important life — and work — experiences that build up the Sense of Coherence of employees.
He understood, in other words, that work is not merely an economic transaction. It is one of the primary arenas in which human beings construct and sustain their Sense of Coherence across their adult lives. Given the fact that most people spend a big part of their waking hours at work, working conditions are important determinants of their Sense of Coherence and therefore also of a person’s, a family’s, and even a community’s health.
When Antonovsky wrote those words, he was thinking about workplace design, job demands, occupational stress, and organizational culture. He could not have anticipated that the disruption would come not from within the workplace but from outside it — from a technology that would, within a generation, render cognitively demanding work itself economically inaccessible to large portions of the human population.
But his framework anticipated the consequences with uncomfortable precision.
The Three Coherence Attacks of AI Displacement
When artificial intelligence eliminates or degrades access to cognitive work, it does not merely remove income. It launches a simultaneous attack on all three dimensions of the Sense of Coherence — and it does so in ways that are structurally different from prior forms of economic disruption.
The Comprehensibility Attack: A World That No Longer Makes Sense
Comprehensibility depends on being able to understand how the world works and what one’s place in it is. For most working adults, the implicit contract has been something like this: invest in education, develop expertise, bring that expertise reliably to a job, and the economic and social world will respond in predictable, reward-confirming ways. The contract was never perfectly honored — labor markets are not perfectly just — but it was coherent enough that most people could navigate by it.
Emad Mostaque, founder of Stability AI and author of The Last Economy, calls what is now happening the Intelligence Inversion — a new age where artificial intelligence turns human intellect into an abundant commodity. That single shift is cracking the old engines of work, money, and meaning that were built on scarcity. Our dashboards show record profits, while daily life shows a loss of purpose. The gap signals a paradigm collapse.
The paradigm collapse is, at its core, a comprehensibility collapse. The rules that structured adult life — the ones that told people how to prepare, what to invest in, how to understand their value — are being invalidated faster than new rules are being established. The billing specialist who spent fifteen years mastering medical coding discovers that an AI now processes claims with greater accuracy in a fraction of the time. The junior financial analyst who built her expertise on modeling learns that an AI can build ten models in the time it takes her to build one. The paralegal who understood his professional value in terms of document review and case preparation finds that AI performs that work in minutes.
These are not just job losses. They are comprehensibility crises. The world no longer works the way these people understood it to work. Their mental models — their maps of how investment in human capital produces economic and social returns — have been invalidated. And unlike the factory worker displaced by an earlier wave of automation, who could be told “learn a new skill in a different sector,” these workers face a disruption that is cross-sectoral, simultaneous, and driven by a technology whose capability curve shows no signs of plateauing.
In Antonovskyan terms, the stressor is not merely the job loss. It is the collapse of the cognitive framework through which the loss can be understood, integrated, and responded to. This is what makes AI displacement categorically different from prior economic disruptions: it attacks comprehensibility at the level of the paradigm, not merely at the level of the individual career.
The Manageability Attack: Resources Dissolve as Demands Intensify
Manageability depends on having access to the Generalized Resistance Resources (GRRs) — the material, social, cultural, and institutional assets that allow a person to cope effectively with life’s demands. Antonovsky argued that Generalized Resistance Resources enable individuals to make sense of and manage events. Over time, in response to positive experiences provided by successful use of different resources, an individual develops an attitude that is in itself the essential tool for coping.
The cruel arithmetic of AI displacement is that it attacks manageability precisely by undermining the resource base at the same time that it intensifies the coping demands. The worker displaced by AI faces the challenge of occupational transition — a demanding cognitive and social project even under the best circumstances. But the resources that would historically have supported that transition are being degraded simultaneously.
Income drops at the moment that retraining requires financial investment. Health insurance, tied to employment in the American system, disappears at the moment that mental health support for the disruption is most needed. The professional network — built around a career that no longer exists in its prior form — becomes less useful as the landscape it was built to navigate changes shape. The institutional supports designed for prior-era displacement — TAA, WIOA, state CareerLink systems — were built for individual displacement events in stable sectors, not for the simultaneous cross-sector displacement of an entire category of cognitive labor.
The result is a manageability crisis that compounds the comprehensibility crisis. The person navigating AI displacement is not merely struggling to understand what happened. They are struggling to find the resources to respond — and discovering that those resources were more contingent on continued employment than they had ever been forced to recognize.
Antonovsky recognized that for older workers, the Sense of Coherence can be modified, detrimentally or beneficially, by the nature of the working environment — and that the destructive potential of unemployment is particularly acute when it attacks the accumulated resource base of an adult identity. The mid-career worker whose expertise has been automated away is losing not just a job but the accumulated GRRs of a professional lifetime: the competence, the relationships, the institutional belonging, the daily structure, the sense of being needed that work reliably provided.
The Meaningfulness Attack: The Deepest Wound
Of all three coherence dimensions, Antonovsky considered meaningfulness the most critical — the motivational foundation without which comprehensibility and manageability lose their traction. Meaningfulness functions as the motivational core of the Sense of Coherence: it reflects the degree to which individuals regard their work and surroundings as emotionally significant and worthy of effort. Without this emotional engagement, the other dimensions — understanding and control — lack sustaining drive.
This is where the AI displacement crisis becomes a genuine meaning crisis, and where the salutogenic lens reveals something that purely economic analysis consistently misses.
The problem is not only that cognitive work is being eliminated. It is that cognitive work — the problem-solving, the creative challenge, the expert judgment, the contribution to something that matters — has been, for professional and knowledge workers, the primary arena in which life felt meaningful. It is where competence was exercised and confirmed. Where identity was built and sustained. Where the sense of mattering — of being someone who could do something that the world needed — was renewed daily.
When the machine does it better, the meaningfulness loss is not incidental to the economic loss. In many cases it precedes and exceeds it. The radiologist who has not yet lost their job but watches an AI outperform them consistently in diagnostic accuracy — what is the meaning of their daily work? The software engineer who knows their code can be generated by a model in the time it takes them to specify the requirements — how do they experience the meaningfulness of their craft? The writer whose clients are increasingly satisfied with AI-generated content — what sustains their investment in the slow, difficult work of finding the right word?
These are not edge cases. They are the emerging daily experience of knowledge workers across every sector. And the public health consequences of sustained meaningfulness erosion are not speculative. The epidemiological literature on unemployment, underemployment, and occupational precarity documents elevated rates of depression, anxiety, substance use disorder, cardiovascular disease, and early mortality. These are the downstream health consequences of the coherence attacks — the somatic expression of a Sense of Coherence under prolonged assault.
What is less well studied — because the phenomenon is so new — is the specific health signature of what might be called anticipatory coherence loss: the experience of still having one’s job while watching the ground dissolve beneath it. This is the psychological terrain of the bridge generation — the workers who are neither fully displaced nor fully secure, who know that the machine is coming, who cannot yet see what will remain valuable in themselves when it arrives.
The Generalized Resistance Resources We Must Build
Antonovsky’s framework is not deterministic. The Sense of Coherence is not fixed at birth. Consistent experiences provide the basis for the comprehensibility component; a good load balance, for the manageability component; and participation in shaping outcome, for the meaningfulness component. The SOC is built and sustained through experience — and it can be built and sustained through the deliberate design of environments, institutions, and social conditions that provide the right kinds of experience.
This is where the salutogenic paradigm becomes not merely a diagnostic tool but a design framework — a guide to what we must build to protect and restore the Sense of Coherence in an AI-transformed world.
Building Comprehensibility: The Right to Understand
The comprehensibility crisis of AI displacement cannot be resolved by telling people that disruption is normal or that history shows technology eventually creates more jobs than it destroys. Those are statistical claims about aggregates across long time periods. They do not help the fifty-year-old billing specialist, or the thirty-year-old paralegal, or the twenty-five-year-old junior analyst, understand what is happening to their specific life and what their specific next step should be.
Comprehensibility at the individual level requires honest, specific, accessible information about the AI landscape — which sectors are most exposed, on what timeline, with what variation by skill and geography. It requires that the public, not just researchers and industry insiders, have access to real-time labor market data that maps the transformation as it is actually occurring. The National Workforce Disruption Dashboard proposed in PCATAW’s framework is a comprehensibility-building instrument: it makes the transformation legible to the people living inside it.
It also requires what might be called narrative coherence — a framework through which people can understand not just what is happening economically but what it means for their lives, their identities, and their futures. This is a salutogenic communication imperative. The story we tell about AI displacement — whether it is a story of abandonment or a story of transition, whether it is a story about the dissolution of human value or a story about the rediscovery of distinctly human capacities — will shape the coherence experience of millions of people navigating the disruption.
The salutogenic narrative is not optimism. It is the honest acknowledgment that this is a genuine stressor, combined with the equally honest communication that stressors met with adequate resources do not destroy Sense of Coherence — they can even, as Antonovsky noted paradoxically, strengthen it by calling forth resources that were previously unknown.
Building Manageability: The Architecture of Transition
Manageability requires resources adequate to the demands. The demands of AI-era occupational transition are large. The resources currently available are not. The gap between them is the manageability crisis of AI displacement, and closing it is a policy imperative with direct public health implications.
The salutogenic approach to manageability goes beyond the standard “retraining programs” framing — though retraining is necessary — to ask a more fundamental question: what does a person need to experience themselves as capable of navigating this transition? The answer includes material resources (income support, health insurance, transition funding) but it extends into the institutional, social, and cultural dimensions of the GRR landscape.
It includes the maintenance of professional community during transition — the networks of relationship and recognition that tell a person they are still competent and valued even when their specific technical skills have been superseded. It includes access to mental health support that is specifically calibrated for occupational disruption — not generic therapy but the kind of expert-informed accompaniment that can help people re-anchor their identity and rebuild their confidence during a period when both are under assault.
It includes the institutional affirmation that the society values the person’s transition enough to invest in it — that the message being sent is not “you are obsolete” but “you are being asked to navigate a challenge that is not your fault, that we understand is profound, and that we are committed to supporting you through.” The salutogenic content of that message is not primarily material. It is the confirmation that the person’s struggles are comprehensible, that the resources for managing them exist, and that the effort of navigating them is meaningful and worthy of investment.
Rebuilding Meaningfulness: The Human Advantage That Cannot Be Automated
This is the most important and most underaddressed dimension of the salutogenic response to AI displacement. Meaningfulness cannot be restored by income replacement. A UBI stipend sufficient to survive is not the same as a life experienced as worthy of effort and engagement. The Digital Feudalism scenario that Mostaque describes — a handful of corporations controlling the AI while everyone else lives on UBI, enough to survive, not enough to matter, users not creators, consumers not citizens — is a meaningfulness desert precisely because it preserves material survival while eliminating the conditions for experienced purpose.
The salutogenic response must therefore be explicit about what meaningfulness requires, and what in human experience cannot be automated.
There is an emerging, evidence-informed answer to that question. The capabilities that AI systems most consistently cannot replicate — or replicate only as pale imitations — are the ones most deeply connected to the relational, creative, and ethical dimensions of human life. The capacities for genuine empathy and attunement, for the moral imagination required to navigate complex ethical terrain, for the creative synthesis that emerges from embodied, lived experience, for the quality of human presence in the face of another person’s suffering or confusion or joy — these are not incidental features of human cognition. They are its most distinctively salutogenic expressions.
Care work, teaching, healing, community building, civic engagement, creative practice, mentorship, spiritual accompaniment — these are the activities that most directly build and sustain Sense of Coherence not only in the person doing them but in the communities they serve. They are also, not coincidentally, the activities that the market has most consistently undervalued, precisely because they could not easily be commoditized. In an AI economy where cognitive commodities are superabundant and cheap, the premium on genuinely human relational capabilities will, if we choose to build for it, be enormous.
Mostaque argues that resilience in the AI age will depend less on job titles and more on community, networks, relationships, and how deeply individuals engage with the technology itself. The salutogenic translation of that insight is this: the Generalized Resistance Resources of the AI era are primarily social and relational. The communities that sustain their members through disruption, the relationships that confirm value and provide belonging, the institutions that create the conditions for ongoing creative engagement — these are the health-creating assets of the age we are entering.
Building them is not a secondary priority, to be addressed after the economic questions are settled. It is the primary priority, because the economic questions cannot be settled in ways that serve human health without getting this right.
The Salutogenic Imperative: A Seven-Dimensional Response
The Institute for Salutogenesis has developed a framework for whole-person health that extends Antonovsky’s original three dimensions — comprehensibility, manageability, and meaningfulness — into a seven-dimensional model adequate to the full complexity of the AI challenge. Each dimension points toward a specific domain of salutogenic response.
Comprehensibility demands honest, accessible, real-time communication about the AI transformation — not euphemism, not techno-utopianism, not paralyzing doom, but the kind of clear-eyed information that allows people to understand what is happening to them and around them. This means public investment in workforce disruption data infrastructure, plain-language communication about which sectors and skills are most exposed, and the narrative framework that makes disruption comprehensible rather than merely terrifying.
Manageability demands a material and institutional transition architecture adequate to the scale of the disruption — wage insurance, portable benefits, income bridge mechanisms, community college investment, mental health support specifically calibrated for occupational disruption. It demands that these resources reach the workers who need them most: Black workers, women in administrative roles, workers without four-year degrees, rural and suburban communities where employer concentration amplifies displacement risk.
Meaningfulness demands deliberate social investment in the domains where human beings find irreplaceable purpose: care work, teaching, community building, creative practice, civic engagement, and the relational dimensions of healing. This means compensating these activities adequately, supporting them institutionally, and building them centrally into the educational framework through which the next generation develops its sense of what is worth doing.
Social Belonging — the fourth dimension — demands that the institutional and community infrastructure that provides connection and recognition during occupational transition be actively sustained and strengthened. Unions, professional associations, faith communities, neighborhood organizations, libraries: these are the salutogenic infrastructure of social belonging, and they matter more, not less, when the structures of work that previously organized social life are being disrupted.
Physical Health — the fifth dimension — demands that we take seriously the somatic consequences of coherence erosion. Prolonged occupational uncertainty and meaninglessness are not merely psychological experiences. They are embodied stressors with measurable physiological consequences. Healthcare policy for an AI-displaced workforce must be designed with this understanding — and must be accessible during the transition period when employment-based coverage is most likely to have lapsed.
Environmental Health — the sixth dimension — demands attention to the community-level consequences of concentrated displacement. When AI eliminates a major employment sector in a specific geography, the effects ripple through the built environment, the school system, the tax base, and the civic infrastructure of the community. Place-based reinvestment — the kind that rebuilds the physical and institutional environment of displaced communities — is a salutogenic imperative, not merely an economic development strategy.
Spiritual and Existential Health — the seventh dimension, and the one that the purely economic framing of AI disruption most consistently ignores — demands that we engage explicitly with the existential questions that the Intelligence Inversion raises. What is a human being for, when machines can do most human tasks more cheaply and efficiently? What gives a life dignity and purpose in an age of cognitive abundance? These are questions that belong to philosophy, theology, and the spiritual traditions — and they are also, in their practical implications, the questions that determine whether the AI transition produces a population that is psychologically intact or one that is existentially unmoored.
The salutogenic tradition offers a starting point: dignity and purpose are not derived from economic productivity. They are derived from the experience of contributing, connecting, creating, and caring — the activities that make a life feel, from the inside, like it matters. The AI age does not threaten those activities. It threatens the institutional structures — primarily employment — through which those activities have been organized, compensated, and socially recognized. The salutogenic challenge is to build new institutional structures that preserve and expand access to the activities while the old structures dissolve.
The River and the Stones
Antonovsky offered an image for the salutogenic orientation that has stayed with me since I first encountered his work. He asked us to imagine a river — turbulent, unpredictable, sometimes dangerous — and two different orientations toward the people who fall into it. The pathogenic orientation focuses on keeping people out of the river. Build higher fences. Identify the most hazardous stretches. Treat the injuries of those who fall in. The salutogenic orientation focuses on teaching people to swim. On building the capacities — the resources, the orientation, the Sense of Coherence — that allow people to navigate the current, to find the calmer water, to reach the other bank.
The AI transformation of work is the river. We did not choose it. We cannot dam it. The current is strong, it is accelerating, and it will carry everyone. The question is whether the people in it have been taught to swim.
Teaching people to swim requires honest information about the current (comprehensibility), adequate resources for navigating it (manageability), and the conviction that reaching the other bank is worth the effort (meaningfulness). It requires communities of swimmers who help each other rather than fight over the eddies. It requires institutions that invest in teaching rather than merely in constructing better fences.
It also requires, urgently, that we stop pretending the river is calmer than it is. The salutogenic orientation is not optimism. It is the honest acknowledgment of the stressor combined with the equally honest commitment to building the resources adequate to it. Telling workers that the economy will eventually adapt, that history shows technology creates more jobs than it destroys, that disruption is normal — these are pathogenic responses dressed in optimistic language. They are fence-building: they focus on keeping people out of the water rather than on teaching them to navigate it.
The salutogenic response to AI displacement is harder than that. It requires naming the full scope of what is being threatened — not just income but comprehensibility, not just employment but manageability, not just livelihood but the meaning architecture of adult life. And then it requires building, systematically and at scale, the Generalized Resistance Resources adequate to the challenge: the material supports, the institutional infrastructure, the community networks, the educational investments, the spiritual and existential frameworks through which human beings can navigate the current, find their footing, and build new ways of mattering in a world that the machine is permanently changing.
The water is heating. The phase transition is underway. Whether the people in the river have been taught to swim depends on the choices we make — in policy, in institutional design, in community investment, in the stories we tell about what human beings are for — in the next thousand days.
A Note on Our Work at the Institute for Salutogenesis
The Institute for Salutogenesis was founded on the conviction that health creation — not disease management — is the appropriate orienting paradigm for the challenges of this generation. The AI transformation of work is, as this article has argued, fundamentally a health challenge: it attacks the Sense of Coherence that is the foundation of human health at individual, family, and community levels simultaneously.
Our work in Montgomery County through the Whole Person Salutogenic Assistant (WPSA) is a direct application of these principles: deploying AI not to replace human judgment or human connection but to help families navigate the resource landscape that sustains coherence during stress. The WPSA helps families understand what supports they are eligible for (comprehensibility), access those supports more reliably (manageability), and do so in the context of a system that treats their whole-person wellbeing as the organizing purpose (meaningfulness). It is AI in service of salutogenesis rather than against it.
The AI challenge of our time is not primarily technological. It is salutogenic. And the response — adequate to its full scope and its full human implications — must be built on the understanding that Aaron Antonovsky gave us fifty years ago and that has never been more urgently needed: health is not the absence of stressors. It is the presence of the resources, the orientation, and the community through which stressors can be met, navigated, and ultimately transformed into the experiences that make a life feel, from the inside, coherent.
That is the work. It belongs to all of us.
Shimon Waldfogel, MD is the Founder and President of the Institute for Salutogenesis and the Founder and Publisher of Moonshot Press. This article was developed with AI assistance as a demonstration of the Useful General Intelligence framework — intelligence deployed in service of salutogenic ends, with human judgment directing the inquiry throughout.
The Institute for Salutogenesis is dedicated to operationalizing Antonovsky’s salutogenic paradigm through research, advocacy, and technology. Learn more at mysaluto.org. Engage with our applied work in Montgomery County at thriveinmontco.substack.com.