The conversation about AI and work tends to organize itself around a single, concrete question: will my job still exist?
It is a reasonable question. But in the therapy room, that question is rarely the whole story. What I hear more often is something less concrete and harder to name: a background unease that has been building for months, a sense that the ground beneath a professional identity has quietly shifted, a worry not just about whether a job will disappear but about what it would mean if the work that defines you became something a machine could do.
That is a different kind of question. And it is the one I want to address here.
The Numbers Tell Part of the Story
The economic data on AI and work is genuinely uncertain. A comprehensive analysis of three independent labor datasets found no detectable rise in aggregate unemployment for workers in AI-exposed occupations since late 2022. What the same data did show, however, was a closing door for younger workers — a nearly 20% drop in young developer employment from 2024 peaks, and roughly one in three organizations expecting AI-driven workforce reductions in the near term. Notably, the disruption is beginning at the top of the skill ladder, not the bottom — the workers most exposed to AI today are the highest-paid and most-educated. ScienceDirectScienceDirect
This is clinically significant. The people most likely to have organized their identity, self-worth, and life structure around professional achievement are now among those most directly in AI's first wave.
What the Research Says About AI and Meaning at Work
Beyond job displacement, there is a subtler but equally important story about what AI is doing to the experience of work itself.
A 2026 study in Scientific Reports found that passively relying on AI — copying AI-generated content rather than engaging with the task directly — reduced self-efficacy, sense of ownership, and the meaning workers perceived in their work. Workers who collaborated actively with AI, drafting first and then refining with AI assistance, showed less erosion of these psychological dimensions. KOSU
The distinction matters. What damages the psychological experience of work is not AI use per se, but AI use that removes the worker from genuine engagement with the task. Classic perspectives emphasize that work is not merely a means of production but a central source of human identity and meaning — and that meaningful work emerges when individuals experience a sense of agency and purpose. Strip those out — not by taking the job but by making the job no longer require what is distinctively human — and you have a mental health problem even in the absence of unemployment. KOSU
Work, Identity, and What Happens When the Ground Shifts
For most working adults, work is not simply a source of income. It is a primary source of identity. It structures time, provides social belonging, confers status, and supplies the daily evidence that one is competent, valued, and needed.
The APA's 2025 Work in America Survey found that 54% of U.S. workers reported that job insecurity had a significant impact on their stress levels. Research published in JAMA Network Open found that greater job security was associated with meaningfully better mental health outcomes. Connecticut Public
AI-related insecurity introduces something distinct from ordinary job insecurity. Ordinary insecurity says: I might lose this position. AI-related insecurity says something more fundamental: the things I am good at might not matter in the way I thought they did. The expertise I spent years developing might be replicable by a tool that costs a few dollars a month.
That is an identity challenge, not merely an economic one. And identity challenges tend to produce anxiety, depression, and an existential disorientation that does not respond well to reassurance about aggregate job numbers.
The Particular Burden on High Achievers
High-achieving professionals — people who have organized significant portions of their identity and self-worth around competence and accomplishment — are often among those hit hardest by this shift, not because their jobs are most threatened, but because their relationship to their work is most psychologically loaded.
When your sense of self is built substantially on being very good at something, and the thing you are very good at becomes something a machine can replicate, the threat is not just professional. It raises questions that go far beneath the employment contract: What am I for? What makes me valuable — not as a worker, but as a person? What remains that is distinctively mine?
These are reasonable responses to a genuinely disorienting shift. But they are also, without support and reflection, the questions most likely to produce sustained anxiety and loss of meaning that erode wellbeing over time.
What Uncertainty Does to the Mind and Body
Even for people whose jobs are not immediately at risk, the ambient uncertainty of this period carries its own weight. Decades of research have shown that job insecurity negatively impacts workers' mental and physical health as well as job satisfaction, commitment, and trust. The mind's threat-detection system is designed to respond to identifiable dangers. It is less well-equipped to handle prolonged, ambiguous threat — a landscape shifting in ways that are difficult to predict or prepare for. The result is a persistent background activation of the stress response: disrupted sleep, reduced cognitive flexibility, and the kind of sustained low-level hypervigilance that depletes the emotional resources needed to engage creatively with change. Connecticut Public
This is not catastrophizing. It is a nervous system responding, with the architecture it has, to a situation that is genuinely uncertain and genuinely consequential.
What Actually Helps
I want to be careful not to offer easy reassurance, because the situation does not warrant it. AI is changing work, the pace is accelerating, and the disruption is real. What I can offer is an honest account of what tends to support people through genuine identity disruption.
Separating who you are from what you do. The capacity to hold a stable sense of self that is not entirely contingent on professional achievement is one of the most robust protections against the psychological damage of career disruption. This is a capacity that can be developed — and one therapy is well-positioned to support.
Engaging actively rather than passively. The research suggests the psychological risk is not in using AI but in ceding agency to it. Workers who use AI as a collaborator — thinking first, then augmenting — preserve more of the psychological dimensions of meaningful work.
Naming the identity questions directly. The anxiety that surfaces around AI and work is often not primarily about the job. It is about the self. Bringing those questions into explicit awareness is more useful than managing them through distraction or reassurance-seeking.
Attending to what remains distinctively human. Judgment. Relationship. Context. Ethical reasoning. Creative synthesis. Embodied experience. These are not consolation prizes. They are the things that have always mattered most in the work that matters most to people.
A Note on When to Seek Support
If anxiety about AI and work is disrupting your sleep, your concentration, your relationships, or your sense of purpose — if the uncertainty is settling into something that feels less like concern and more like despair — that is worth taking seriously.
Navigating major identity disruption is a legitimate clinical concern. It does not require a formal diagnosis. It requires a space to think carefully about who you are, what you value, and what a meaningful life looks like when the structures that once organized it are shifting.
I work with adults in New York City navigating anxiety, career disruption, identity questions, and the intersection of professional life and psychological wellbeing. [Reach out here] if you would like to explore what support might look like.
APA Citations:
Brand, J. E. (2015). The far-reaching impact of job loss and unemployment. Annual Review of Sociology, 41, 359–375. https://doi.org/10.1146/annurev-soc-071913-043237
Nguyen, T., Weinhardt, J. M., & Campbell, E. (2026). Relying on AI at work reduces self-efficacy, ownership, and meaning while active collaboration mitigates the effects. Scientific Reports, 16, 13583. https://doi.org/10.1038/s41598-026-42312-6
The New York Times Magazine. (2026, June 9). Who will actually thrive in the hybrid A.I.-human work force. The New York Times Magazine. https://www.nytimes.com/2026/06/09/magazine/ai-jobs-workforce-labor.html
Weir, K. (2026). Workers are facing an age of uncertainty. Monitor on Psychology, 57(1), 76. https://www.apa.org/monitor/2026/01-02/trends-work-uncertainty