AI fears push investors to rethink stock valuations as terminal value hits 25-year high

AI Fears Reshape Investment Strategies Across US Markets

Concerns about artificial intelligence disrupting traditional business models have triggered a significant reassessment of stock valuations across US markets, according to Goldman Sachs analysts. The Wall Street brokerage reports that profits expected more than 10 years into the future—known as terminal value—now represent approximately 75% of the S&P 500's equity value, approaching a 25-year high 1

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. This elevated reliance on distant future earnings mirrors the dotcom boom era, when investor optimism about long-term U.S. corporate growth reached similar peaks.

Software Sector Bears the Brunt of AI Disruption Concerns

The technology sector, particularly software and services indexes, has experienced substantial pressure as AI fears intensify. The S&P 500 software and services index has plummeted about 17% so far this year, driven largely by investor worries that emerging AI tools could fundamentally undermine future revenue growth and profit margins 1

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. These concerns escalated after Anthropic launched new tools capable of automating tasks across marketing and data analytics, raising questions about competitive pressure on traditional software providers. Meanwhile, Big Tech giants including Alphabet, Microsoft, Meta, and Amazon have committed billions of dollars to AI infrastructure spending, with the big four cloud companies set to invest around $600 billion on AI this year alone . This historic outlay has squeezed cash flows and tested investor patience, even as expectations of future gains keep stock prices relatively stable.

High-Growth Companies Face Disproportionate Valuation Risk

Goldman Sachs estimates that every one percentage point decline in assumed long-term growth would reduce the combined enterprise value of S&P 500 companies by approximately 15%. However, the impact varies dramatically based on company growth profiles. High-growth stocks would experience valuations falling by roughly 29%, compared with only about 10% for low-growth equities 1

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. "The value of a high-growth company is especially sensitive to changes in its long-term outlook," Goldman noted in its Thursday report. This vulnerability creates particular uncertainty for technology firms whose valuations depend heavily on projections of sustained dominance in rapidly evolving markets.

Persistent Uncertainty and the Need for Greater Transparency

Goldman Sachs expects the debate around AI's disruptive impact, and the resulting uncertainty about terminal values, will persist for at least several quarters. "The threat of disruption will likely represent a persistent overhang until later stages of AI adoption," the analysts warned 1

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. Adding to investor concerns, Goldman observed that only 5% of S&P 500 firms discussed financial metrics beyond five years during recent quarterly earnings calls. The brokerage urged corporate managements to prioritize discussions of the long-term outlook with investors, suggesting that greater transparency could help markets better assess the actual risks and opportunities presented by AI transformation . As companies navigate this period of technological transition, investors will be watching closely to see which firms can articulate credible strategies for maintaining growth in an AI-transformed landscape.