The Bay Area's New Presenting Complaint Is Not Burnout

Business Insider has interviewed therapists in the Bay Area and New York whose caseloads are dominated by tech workers, and the complaint they describe has changed shape: not "I am exhausted" but, in the words of Bay Area psychotherapist and executive coach Annie Wright, "I don't know who I am if my work gets automated" ^[1]. That distinction matters operationally, because exhaustion is a workload problem and obsolescence is an identity problem, and the two do not respond to the same interventions.

The backdrop: Layoffs.fyi counts more than 120,000 tech jobs cut globally in 2026 ^[2], with Meta, Google, Oracle, Salesforce and Amazon shedding hundreds or thousands at a time ^[3]. Lenny's Newsletter surveyed 8,200 workers and found reported burnout rose from 44.4% to 55.7% between 2025 and 2026 ^[4], a jump of 11.3 percentage points ^[5], or about a quarter more people reporting it than the year before ^[6]. Over the same period, career optimism fell from 54.8% to 48.7% ^[7], down 6.1 points ^[8]. Business Insider does not describe how the survey population was drawn ^[9], so treat the levels loosely and the direction seriously. Burnout rising while optimism holds is a recoverable condition. Burnout rising while optimism falls is attrition that has been deferred until the labour market permits it.

The clinical anecdotes are small-sample by construction and should be read as texture, not evidence. Nick Sanchez, who founded Silicon Valley Therapy, says six of the 25 clients on his roster have been laid off in the last two years, and most have been unemployed for six months or longer ^[10] - roughly a quarter of one practitioner's book ^[11]. One is trying to join the FBI ^[12].

The more consequential detail concerns people who still have their jobs. Josh Altman, who counsels tech professionals in the New York area, says every senior engineer on his client list, meaning people with ten-plus years at a top company, believes they will not be an engineer a decade from now ^[13]. Some of the same people are exhilarated by the tooling; one told him he no longer feels like an engineer but like a sorcerer ^[14]. Altman also says the AI conversation has made these organisations feel "more transactional, less sentimental," prompting previously loyal employees to ask what else is out there ^[15]. What that looks like in practice, per his account: a professional who quit to become president of a local library board, another who made millions and is now self-employed working on safety boundaries for AI, male clients discussing stay-at-home fatherhood, and clients relocating abroad, some of whom could have exited with great wealth but found the environment too taxing ^[16]. Wright has a name for the version afflicting the builders: "complicity grief," the engineer who trained the model now displacing her peers ^[17]. Meanwhile the employment bargain has hardened, with longtime staff branded low performers and told to accept return-to-office and other policy changes or leave ^[18]. Ross Nelson, a clinical psychologist practising in Palo Alto and San Mateo, reports the same pattern of pivots among people who feel their work is not impactful ^[19].

The management error available here is to run the standard engagement instrument and read the result as disengagement, then respond with recognition programmes and manager training. The reported driver is a forecast about whether the role exists, held most firmly by the tenured and the financially independent, which is precisely the population that retention bonuses do not reach.

What to watch: whether a subsequent reading of that survey shows optimism continuing to fall while burnout plateaus, which would separate fatigue from exit intent; whether the 120,000 figure keeps climbing; and the six-month-plus unemployment durations Sanchez describes, which suggest the industry's habitual re-hiring cushion is thinner than laid-off workers expect.