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

AI fears drive US stock investors to rethink long-term growth bets, says Goldman

April 28 (Reuters) - Fears that artificial intelligence could disrupt long-term U.S. corporate growth have renewed investor focus on how much of stock valuations depend on profits expected beyond the next decade, particularly in sectors such as software, Goldman Sachs analysts said. Profits expected more than 10 years into the future - often called terminal value - now account for about 75% of the S&P 500's equity value, near a 25-year high, the Wall Street brokerage said. "Today's share of value in the terminal value is ⁠elevated versus history and mirrors other periods where investor long-term growth expectations were increasingly optimistic, including the dotcom boom," Goldman said in a note on Thursday. Investor concerns around AI disruption have been building since Anthropic launched new tools that automate tasks across areas such as marketing and data analytics, raising questions about the pressure such products could put on traditional software providers. The S&P 500 software and services (.SPLRCIS), opens new tab index has dropped about 17% so far this year, broadly driven by fears that new AI tools could hurt future revenue growth ⁠and profit margins. Goldman estimates that every one percentage point decline in assumed long‑term growth would cut the combined enterprise value of S&P 500 companies by about 15%. High‑growth stocks would see a much larger hit, with valuations falling by roughly 29%, compared with about 10% for low‑growth ⁠equities. "The value of a high-growth company is especially sensitive to changes in its long-term growth outlook," Goldman added. Goldman expects the debate around AI disruption, and therefore uncertainty about many companies' ⁠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," they added. Goldman noted ⁠that in recent quarterly earnings calls, only 5% of S&P 500 firms discussed financial metrics beyond five years. "We think more managements should prioritize discussions of the long-term outlook (to investors)," Goldman added. Reporting by Siddarth S in Bengaluru; Editing by Nivedita Bhattacharjee Our Standards: The Thomson Reuters Trust Principles., opens new tab

AI fears drive US stock investors to rethink long-term growth bets: Goldman Sachs

Goldman Sachs analysts highlight concerns about artificial intelligence impacting long-term U.S. corporate growth. Stock valuations now heavily depend on profits projected over a decade away. This reliance is at a 25-year high, mirroring the dotcom boom era. Investor worries about AI disruption are growing, affecting software and services indexes. Concerns that artificial intelligence could erode long‑term U.S. corporate growth have renewed scrutiny over how heavily stock valuations rely on profits projected beyond the next decade, especially in software, Goldman Sachs analysts said.Profits expected more than 10 years into the future - often called terminal value - now account for about 75% of the S&P 500's equity value, near a 25-year high, the Wall Street brokerage said. "Today's share of ⁠value ⁠in the terminal value is elevated versus history and mirrors other periods where investor long-term growth expectations were increasingly optimistic, including the dotcom boom," Goldman said in a note on Thursday. Investor concerns around AI disruption have been building since Anthropic launched new tools that automate tasks across areas such as marketing and data analytics, raising questions about the pressure such products could put on traditional software providers. The S&P 500 software and services index has dropped about ⁠17% so far this year, broadly driven by fears that new AI tools could hurt future revenue growth and profit margins. At the same time, Big Tech - Alphabet, ⁠Microsoft, Meta and Amazon - have set aside billions of dollars for AI capex over three years in their intense fight for industry dominance, but investor concerns over immediate returns linger. The big four cloud companies are set to spend around $600 billion on AI this year, a historic outlay that has squeezed cash flows and tested Wall Street's patience, even as their stocks have largely held up on expectations of future gains.Goldman estimates that every one percentage point decline in assumed long-term growth would cut the combined enterprise value of S&P 500 companies by about 15%. High-growth stocks would see a much larger hit, with valuations falling by roughly 29%, compared with about 10% for low‑growth ⁠equities. "The value of a high-growth company is especially sensitive to changes in its long-term growth outlook," Goldman added. Goldman expects the debate around AI disruption, and therefore uncertainty about many companies' 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," they added. Goldman noted that in recent quarterly earnings calls, only 5% of S&P 500 firms discussed financial metrics beyond five years. "We think more managements should prioritize discussions of the long-term outlook (to investors)," Goldman added.