Goldman Sachs just gave AI stock fans a cold, hard reality check

It will take years for AI investments by major tech companies to pay off. But before that happens, companies have to break even — and that will also take years.

Goldman Sachs strategist Ryan Hammond crunched some numbers and thinks hyperscalers like Amazon ( AMZN ), Oracle ( ORCL ), and Microsoft ( MSFT ) need to generate about $300 billion in AI revenue in the "next few years" to break even on their investments.

The hyperscalers have a ways to go before reaching that number, according to Hammond.

Hyperscaler cloud revenues have accelerated sharply this year, annualizing at about $70 billion above the pre-AI trend in the second quarter of 2026. Announced backlogs for the group exceed $1.5 trillion.

"We estimate that AI users would need to spend roughly $1 trillion annually on AI applications in order for the hyperscalers to generate solid returns on investment and the application layer to generate strong profit margins on their compute expenses," Hammond wrote.

The stakes are high for investors, who have plowed back into hyperscaler stocks in recent weeks amid AI optimism.

The Roundhill Magnificent Seven ETF ( MAGS ) — which tracks the performance of top AI hyperscalers — is up 8% inside of a month compared to a modest gain for the S&P 500 ( ^GSPC ).

Brian Sozzi is Yahoo Finance's Executive Editor, host of the Sozzi Unleashed morning show, the ' Power Players With Brian Sozzi' podcast and a member of Yahoo Finance's editorial leadership team. Follow Sozzi on X @BrianSozzi , Instagram , and LinkedIn . Tips on stories? Email brian.sozzi@yahoofinance.com.