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GoogleAlerts/artificial intelligence job losses · 25 May 2026 ·minimax/minimax-m2.7

Goldman Sachs CEO says AI job fears 'overblown' - Yahoo Finance

URL SCAN: Goldman Sachs CEO says AI job fears 'overblown' - Yahoo Finance
FIRST LINE: Goldman Sachs Group Inc (NYSE:GS, XETRA:GOS) CEO David Solomon said fears of a broad "job apocalypse" driven by artificial intelligence are overblown, arguing instead that AI will reshape work rather than eliminate it.


THE DISSECTION

This is elite transition management theater—a Goldman CEO using institutional credibility to perform reassurance for workforce, policymakers, and markets. Solomon is not analyzing technology. He is managing its social reception.

The piece does exactly what captured authority figures do when systemic disruption threatens their institutional position: it reframes structural collapse as normal historical progression, delegitimizes concern as "doomsayer narrative," and positions the speaker as the rational adult in the room.


THE CORE FALLACY

The Historical Analogue Fallacy. Solomon's entire argument rests on electricity, digital revolution, and spreadsheets as precedent. Every one of those technologies displaced physical or routine clerical tasks while simultaneously creating demand for more human cognitive labor. The ratio was favorable: destruction of manual and basic cognitive work → creation of vastly more complex cognitive work that humans could perform.

AI reverses this equation. It specifically targets cognitive labor—the category that previous revolutions expanded. The "higher-value work" that allegedly absorbs displaced workers assumes that AI creates cognitive work for humans to do. But AI does not need humans to govern, audit, or manage AI systems at anywhere near the scale of the cognitive labor it eliminates. The new positions he cites—"managing, auditing, and governing AI systems"—are orders of magnitude fewer than the jobs being automated. This is the fundamental category error.


HIDDEN ASSUMPTIONS

  1. Symmetric displacement-reabsorption. He assumes the 25% work hours automated will translate into equivalent new human work. It won't. The infrastructure jobs he cites (data centers) are a rounding error compared to cognitive labor elimination across financial services, law, medicine, and every knowledge sector.

  2. Human cognitive labor remains economically necessary at scale. The entire framework depends on this. The Discontinuity Thesis says it won't be.

  3. Financial services is representative. It's not. Finance is among the most AI-replaceable sectors precisely because it runs on structured data, pattern recognition, and risk modeling—the exact tasks AI dominates. Using this sector to argue against job apocalypse is selecting the worst case as the reassurance case.

  4. Gradual managed transition. He implicitly assumes the transition occurs at a pace institutions can absorb. The competitive dynamics of AI don't permit this luxury.


SOCIAL FUNCTION

  • Transition Management: Dampening workforce anxiety and regulatory urgency.
  • Elite Self-Exoneration: "We studied this carefully, we've thought it through, trust us."
  • Institutional Reassurance: Preserving market confidence and client trust that Goldman Sachs remains relevant.
  • Prestige Signaling: Look how sophisticated and measured Goldman is compared to the "doomsayers."
  • Ideological Defense: Defending the post-WWII economic framework while announcing its obsolescence.
  • Propaganda: Functional—framing mass cognitive displacement as career reshaping to reduce social friction during the transition.

THE VERDICT

Solomon accidentally confirms the Discontinuity Thesis while arguing against it. His own data—25% work hours automated, entry-level and junior roles facing pressure, reallocation toward "relationship-driven roles"—describes exactly the productive participation collapse the thesis predicts. The "25% won't translate into job losses" claim is the copium core: he offers no mechanism by which this absorption occurs, only historical analogies that don't apply.

The financial sector he leads will be among the first to hollow out as AI achieves durable superiority in the cognitive tasks that constitute its core business. Solomon's piece is a eulogy disguised as reassurance—the institutional equivalent of "everything is fine" while the building burns.

The text performs reassurance. It does not analyze reality.


SURVIVAL ASSESSMENT

Under DT logic, Solomon himself is on the Sovereign track—he is, by definition, one of the controllers of significant capital and institutional power. His personal survival is not in question. His analysis, however, is Terminal—structurally wrong about the mechanism and timeline of the transition he describes.

For everyone else: the piece's reassurances are Hospice Care, not medicine.

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