Goldman Sachs Warns AI Could Displace Up to 9% of Workers: Growing Risks for U.S. Jobs, Entry-Level Careers, and Future Hiring — Fortune (October 22, 2026)
Article Updated: October 28, 2026 · Goldman’s note arrived while AI-layoff concerns had cooled from a spring peak
Goldman Sachs now says up to 9% of workers could be displaced as AI spreads, roughly one in 11 people. The number has crept up from 6% to 7% last year, and the bank’s economist argues the biggest losses may wait for a recession.
This report explains what the note measures, how the estimate evolved, what the data shows today, and what remains unknown, including how entry-level workers fit in.
1. What Goldman Sachs actually said
Briggs, who co-leads Goldman’s global economics research, published the note on Thursday, October 22, 2026. Under the bank’s baseline that AI eventually raises productivity by 15% in the U.S. and other developed economies, he found that up to 9% of workers could be displaced, with slower hiring reducing employment by another 3%. Fortune reported that his word was “temporarily” for the displaced group, and that the note measures gross job losses rather than unemployment.
| Measure | Reported figure | What it means |
|---|---|---|
| Displaced during the transition | Up to 9% (about one in 11) | Gross job losses under a 15% productivity gain; some workers find new jobs quickly. |
| Slower hiring effect | Another 3% | Fewer new positions, counted separately from layoffs. |
| Headcount equivalent | About 15 million over a decade | Figure Briggs gave on Goldman’s Exchanges podcast in June, per Fortune. |
| Establishments using AI regularly | 23% | Most AI productivity gains are still ahead. |
2. How 6% became 9%
In August 2025, Briggs and economist Sarah Dong estimated that widespread AI adoption could displace 6% to 7% of U.S. workers, within a range of 3% to 14%, using the same 15% productivity assumption. By June 2026 Briggs was citing about 9%, and the October note keeps that number but now calls the workers displaced rather than reallocated. Fortune also noted that Goldman’s U.S. economists had been more skeptical of very high unemployment a year earlier, which Briggs reconciles by stressing that the displacement is temporary.
The arithmetic is simple. Historically, each 1% gain in technology-driven productivity raised the cumulative gross job-loss rate by 0.5 to 0.6 points; multiplying the top of that range by 15 gives 9. That makes the figure an extrapolation from past technology episodes, not a count of identified AI layoffs.
3. Why the layoffs may wait for a recession
Briggs wrote that automation-related disruption is limited when the economy is healthy but accelerates during cyclical slowdowns. His evidence includes the share of Americans in routine jobs such as clerks, secretaries and machine operators, which stayed stable in expansions and fell in the recessions of the early 1980s, 2001, 2008 and 2020. Across 25 occupations hit by past technology, employment fell an extra 4% over five years for every point the national unemployment rate rose.
4. What the data shows today
The same note says near-term effects are smaller than feared earlier this year. Challenger-tracked AI-attributed layoffs have pulled back from a spring peak, and job growth in the most AI-exposed industries has run about 10,000 below its long-run trend over three months, roughly offset by hiring for AI-related construction. Briggs offers two explanations: adoption is still early, and a resilient 2026 economy gave firms less reason to cut labor costs aggressively.
Other data point the same way on layoffs. Challenger, Gray & Christmas figures cited by Yahoo Finance UK show AI as the most-cited reason for announced layoffs in September, at 21% of the total, even though announcements ticked lower overall. Read the Challenger-based report ↗
5. Entry-level careers and future hiring: what is and is not known
The note as reported by Fortune does not give an entry-level estimate, so claims about graduates should be read cautiously. What it does show is that, in 25 past technology-hit occupations, most employment decline came from rising separations (up 3.8 points on average in 19 occupations) rather than falling hiring (down 0.7 points in 13). Still, the separate 3% slower-hiring effect matters for people trying to enter the workforce.
Fortune also notes that Anthropic CEO Dario Amodei warned in 2025 that AI could eliminate half of entry-level white-collar jobs, then shifted in May 2026 toward arguing that expanding tasks could raise productivity, while keeping a caveat that disruption is possible. Those are executive views, not Goldman findings.
6. Caveats and counterpoints
- Upper bounds: Briggs calls the 25-occupation losses likely upper bounds for AI because the cases were chosen for severe impact.
- Could be higher: He also lists reasons 9% may be low, including bigger displacement in the late-1990s boom and after unusually large productivity jumps.
- Temporary, not permanent: Goldman expects the transition to be manageable if economic activity stays healthy.
- Forecast, not fact: Everything depends on the 15% productivity assumption, which has not happened yet.
7. What workers and employers can do
This is general information, not career, legal or financial advice.
- Workers: track which of your tasks are routine, learn to use AI tools in your own role, and keep a financial cushion, since the biggest risk window may be a downturn.
- Job seekers: look at hiring trends in your target field and build evidence of skills that AI tools support rather than replace.
- Employers: plan retraining and redeployment before a slowdown, not during one, and avoid attributing every cut to AI without evidence.
8. What to watch next
- AI-attributed layoff announcements: Briggs says they should provide a good real-time guide.
- Payroll growth in exposed industries: tech, management consulting and graphic design.
- Adoption rates: whether the 23% figure climbs.
- The business cycle: any slowdown would raise the stakes.
9. Related reading on WB Scheme News
10. Frequently asked questions
1. What did Goldman Sachs say about AI and jobs?
In a note published October 22, 2026, economist Joseph Briggs estimated that up to 9% of workers could be displaced during the AI transition if AI eventually lifts productivity by 15%, with slower hiring weighing on employment by another 3%.
2. Does 9% displacement mean 9% unemployment?
No. The note measures gross job losses, which include people who leave the labor force. Briggs said on a June podcast that even at 9% displaced, the yearly rise in unemployment would likely stay below one percentage point.
3. When would the job losses happen?
Goldman’s historical data suggests automation-related disruption is limited in healthy economies and accelerates in downturns, so the biggest effects may arrive with a recession. This is a forecast, not a schedule.
4. Is AI already costing jobs?
Modestly, according to the note. Job growth in the most AI-exposed industries has run about 10,000 below trend over three months, roughly offset by AI-related construction hiring.
5. Are entry-level jobs more at risk?
The reported note does not break out entry-level jobs. Concern about entry-level work comes mainly from earlier warnings by AI executives, one of whom softened his tone in May 2026.
6. Do all economists agree with the 9% figure?
No. Goldman itself describes the figure as depending on assumptions, and it earlier gave a range of 3% to 14%. Treat it as one scenario, not a settled outcome.
11. Conclusion: a warning about timing, not a verdict on jobs
Goldman’s message is more specific than “AI will take jobs.” It says up to 9% of workers could be displaced, that the losses may be concentrated in a downturn, and that today’s evidence shows only a modest headwind. The figure rests on a productivity assumption that has not yet been realized, so the most useful signal is not the headline number but whether AI-attributed layoffs and slower hiring start rising in the data.
12. Sources and references
- Fortune — AI could displace one in 11 workers, Goldman says, but the layoffs are likely waiting for a recession (Nick Lichtenberg), October 22, 2026. Primary news source for the Briggs note, the 9% and 3% figures, historical evidence and current indicators.
Read the Fortune report ↗ - Yahoo Finance (syndicated from Fortune) — same article, October 22, 2026. Full text consulted for quoted figures and dates.
Read the syndicated article ↗ - Investing.com — Goldman Sachs forecasts 9% of workers could face AI displacement, October 22, 2026. Independent summary of the research and Goldman’s “manageable if healthy” view.
Read the Investing.com summary ↗ - Yahoo Finance UK — Goldman Sachs sees AI-fueled layoffs displacing nearly 10% of workers. Cites Challenger, Gray & Christmas data on AI as a reason for announced layoffs.
Read the Yahoo Finance UK report ↗ - Staffing Industry Analysts — AI’s impact on jobs likely temporary: Goldman Sachs. Background on Goldman’s 2025 research and the occupations it flagged.
Read the background report ↗
