How does AI really replace jobs? Goldman Sachs, looks under the hood and has 3 ways to cancel the hype

For the second quarter of 2025, Hatzius’ Team adoption of AI, 9.2% of US companies using the EU, 7.2% compared to 7.4% in the first quarter. In the report, a picture of the NUSTAN, when the corporate investment and productivity of generative AI and related technologies are re-analyzed, the effects of work are slow, in the pace of the intervative.

Goldman AI Three affordable ways from the adoption audience.

1. Confirmation of a limited labor market (so far)

Despite the adoption of AI in US companies, the results of the general labor market in the research note are not affected so far. It is simply to “the effect of the AI’s labor market remains limited and there is no sign of serious impact on the results of the most labor market.” Contradictions with these marks The technical sector is the workplaces exposed to AIAnd a few prominent CEO warning AI can be displaced by 50% of the white collar workforce.

In particular, Goldman says the increase in job growth, salary earnings, unemployment rates and unemployment ratios, less significant deviations from the less exposed sectors. AI’s job announcements are now 24% of all these openings, but when technology adaptates, the total workforce is a total of 1.5% of total work.

It should be noted that the unemployment rate for the exposure of the AI has already reconciled with a wider economy, refutes the early fears of mass displacement. By suspending the current part of the EU’s violation of special functions than all areas, there are no endpoint ads at the end.

On the other hand, analysts noted, as a prominent example of the EU’s, EU, telephone call centers, the EU continues to be occupied in aneccetic professions. This only shows that something whispering is happening. Again, this is the first days.

2. Productivity earnings but significant

Goldman says that the EU has already affected productivity. Hatzius’ team, academic research and company anecdotes, which stating the adoption of a generative AI, support 23% -29% of labor productivity. Calculations vary with an average of 16% and an average of 23% and academic studies that form a media. Again, it offers to improve material efficiency for early adopts.

The most active information, sectors using the Generative AI, financial and professional services, because the firms are moving to integrate AI in their nucles.

Business leaders and economists, adoption and more organizations have become a EI infrastructure, and the aggregate productivity effect is waiting for macroeconomic information.

3. AI employment story: still in its first chapters

Goldman is a recurring topic in Sachs analysis, the development of full employment of the EU’s full employment. When the openings associated with the EU grow, especially there is a compliance with the requirement of roles such as machine learning engineers and AI researchers. Surveys reflect the planning to hire a major part of companies for these skills.

Improving the productivity can eventually expand in more industries and the “AI intensity” (share role-used roles) remains the highest in information technology and vocational service sectors, where future employment shifts can be in the first place.

The report is limited to the current impact on the EU’s labor market, but the transformation seeds are planted. Especially among large and medium-sized companies, especially in the corporate AI adoption, which indicates future productivity and role change. However, so far, the induced ai-induced work of the AI appears to the deeper integration with the work processes of at least more wide, technology.

As companies continue to scale the EU, both the infrastructure matures and opportunities and problems will be strengthened and intensified by politicians, business leaders and employees.

Goldman Sachs refused to further comment.

For this story, Fortune generative AI used to help with initial draft. An editor confirmed the accuracy of the information before publication.