Goldman Sachs analysts say U.S. stock markets may have already priced in most of the long-term value from artificial intelligence. According to Fortune, the investment bank found that market valuations for AI-related companies have surged by over $19 trillion since ChatGPT launched in November 2022. That figure sits at the upper limit of what the technology can plausibly deliver to the broader economy.
Market Gains Outpace Economic Impact
Goldman’s baseline estimate puts the present value of capital revenue from generative AI at $8 trillion for the U.S. economy. The plausible range stretches from $5 trillion to $19 trillion. While these projected benefits justify current AI spending levels, the market’s $19 trillion valuation surge already matches the highest estimate.
The gains include major increases in semiconductor companies and cloud hyperscalers. Valuations for the three largest private AI model providers add nearly $1 trillion more. Companies directly tied to AI have seen their combined value jump far beyond the $8 trillion baseline.
Two Key Risks for Investors
Analysts Dominic Wilson and Vickie Chang identify two main dangers. First, investors may wrongly assume that gains from individual AI winners will scale across all companies. This fallacy of aggregation risks pushing total valuations higher than what chip designers, model builders, and cloud providers can actually capture together.
Second, markets may treat short-term profit spikes as permanent. Competition typically erodes early gains from innovation over time. This fallacy of extrapolation can lead investors to overestimate long-term earnings growth.
Productivity Promise Remains Strong
Goldman still sees real potential in AI technology. The bank estimates AI could lift U.S. productivity by about 1.5 percentage points over ten years. That would raise GDP and earnings by roughly 15 percent.
The report notes that forward-looking markets should price gains ahead of time. But past innovation booms in the 1920s and 1990s led markets to overpay for future profits. Current AI profits outside hardware remain limited, which could create problems if expectations do not materialize quickly.
Goldman maintains that company valuations are high but not yet at bubble levels. Markets are likely to stay optimistic as long as the economy and AI investment remain on track.
