Sam Altman walks back the bleakest AI-job claims, but Goldman Sachs warns job losses are still accelerating

OpenAI chief executive Sam Altman said he believes the company’s earlier messaging about AI eliminating large numbers of jobs was “pretty wrong,” indicating that the technology’s impact on work may be less abrupt than some feared. His comment, reported in market coverage, landed as firms try to separate near-term automation from longer-run changes in hiring and task design.

The exchange has become a flashpoint because the AI jobs narrative has been unusually binary. Altman’s remarks suggest a view that artificial intelligence could shift work rather than simply destroy it at scale in the immediate term, or that earlier forecasts overstated how quickly disruption would arrive.

Goldman Sachs, however, is pointing in the opposite direction. In the same market report, Goldman Sachs is cited warning that AI pressures remain significant and that employment losses are continuing at a high clip, with Goldman’s estimate framed as wiping out 11,000 jobs per month.

Goldman’s figure is the kind of headline statistic that tends to crystallize investor and public attention. It also reflects a broader pattern in AI economics where companies adopt automation, rewrite workflows, and change the composition of roles, sometimes reducing headcount in certain functions even as they create demand for other skills.

The tension between Altman’s stance and Goldman’s warning highlights a fundamental challenge for forecasting AI employment effects. Even if overall job counts remain stable over time, the transition can still feel disruptive locally and for specific categories of workers, such as roles that are heavily digitized, document-driven, or routine in nature.

Goldman’s position matters beyond the jobs narrative itself because it indicates how a major Wall Street firm is interpreting the macro impact of AI at a time when markets are trying to price both productivity upside and labor-market friction. If job pressure persists, it can influence consumer demand, bargaining power for workers, and how quickly businesses accelerate adoption.

Still, the market report does not provide additional detail on how Goldman Sachs arrives at the “11,000 jobs per month” estimate, which industries drive it, or whether the figure is based on layoffs, job postings, or other labor-market indicators. Without that context, it is difficult to judge the precision of the estimate or whether the disruption is concentrated in specific sectors or geographies.

For investors and companies, the key question now is whether the employment trajectory continues to follow Goldman’s warning or moves closer to Altman’s more tempered framing. What to watch next are any follow-up disclosures from Goldman Sachs on methodology and any concrete clarifications from OpenAI on how it sees AI changing job creation, hiring patterns, and workforce needs over the coming quarters.