The article reports on a new analysis by Goldman Sachs economists that challenges the idea that artificial intelligence (AI) has already transformed the broader U.S. economy. After reviewing corporate earnings and management commentary from the most recent quarter, Goldman found no clear evidence that AI adoption has boosted productivity at the macroeconomic level — despite widespread corporate chatter and investor hype. Many boardrooms are talking about AI as if it’s already driving efficiency gains, but the data doesn’t yet show that at an economywide scale.
Analysts at Goldman noted that a record 70% of S&P 500 companies mentioned AI in earnings calls, and more than half tied it to productivity or efficiency goals. However, only 10% actually quantified AI’s impact on specific business functions and a tiny fraction (about 1%) linked it to earnings. Broader surveys also show that fewer than 20% of U.S. establishments use AI in business operations today, highlighting how much of the hype is ahead of actual deployment.
Nevertheless, where AI is being measured, the benefits can be significant. Goldman’s analysis found that companies that have successfully integrated AI in a measurable way report median productivity gains of around 30% in two specific areas: customer support and software development tasks — signaling that targeted use cases are already delivering on AI’s promise. These improvements appear to be influencing corporate behaviour, with some firms mentioning AI when discussing hiring strategies and modest reductions in job openings tied to anticipated efficiency gains.
Goldman economists caution that although these pockets of benefit are real, they are not yet large enough to move broader economic productivity metrics. The current picture is one of localized gains within specific functions, not a widespread transformation of productivity across industries or the overall economy. As a result, the much-debated “AI revolution” may still be emerging rather than fully realized, with broader impacts expected to unfold over the coming years.
