MarketsNOV 03, 2026

Oracle’s $20B funding plan weighs on AI stocks as rally fades

The S&P 500 erased a 1.1% gain, sharpening scrutiny of AI investment returns—and the case for selling measurable customer value.

BY HENLEY MARRAST · MARKETS DESK

Oracle fell 8.6% in afternoon trading on November 2 after setting plans to raise $20 billion through shares and bonds, Reuters reported, as U.S. stocks surrendered early gains. The reversal sharpened a question AI investment alone can’t answer: where are the returns?

The Associated Press’s closing tally showed the S&P 500 down 38.67 points, or 0.5%, at 7,541.40 after an early 1.1% advance. The Nasdaq composite lost 272.68 points, or 1.1%, to 25,164.32. The Dow Jones Industrial Average rose 213.67 points, or 0.4%, to 51,983.98. That divergence matters: Monday’s retreat wasn’t a uniform rejection of stocks.

Marvell fell 12.7% after announcing a deal to buy Lumentum, which lost 18.6%, according to AP; Reuters valued the deal at $115 billion. Intel dropped 8% in afternoon trading after Friday’s 29% decline, Reuters reported.

The unease preceded Monday. Bloomberg Law reported that Friday’s S&P 500 drop was its largest since June, while the Cboe Volatility Index touched its highest intraday level since April. In its November 3 report, AP said technology-heavy South Korea and Taiwan declined Tuesday amid mixed Asian markets.

The spending-and-earnings arithmetic gives that selling a broader frame. AP described investor concern that large technology companies’ AI data-center spending might not generate enough productivity and profit to justify the investment. Reuters cited Goldman Sachs analysts forecasting hyperscaler capital expenditure of $800 billion this year and $1.2 trillion in 2027, while projecting S&P 500 earnings-per-share growth would slow from nearly 30% in 2026 to 18% in 2027.

More spending, slower earnings growth: that’s the tension, not proof that AI demand has disappeared.

“The next phase will be less about identifying who is exposed to AI and more about distinguishing who is already converting that demand into cash,” said Kristofer Barrett, head of global equities at Carmignac.

For owners and founders of small teams selling AI-enabled products or services to businesses or consumers, the editorial implication is a positioning test, not evidence that customers have changed their behavior. Define the customer problem, explain the full cost, and show evidence of a measurable outcome. Buyers may also ask harder questions about reliability and vendor continuity.

That doesn’t make a stock-market selloff a customer survey. It does suggest how to market AI services to small businesses with measurable customer value: make the benefit legible without requiring faith in the technology’s investment story. Exposure to AI and a reason to buy remain different propositions.

Sources

About the author

Henley Marrast

MARKETS DESK

Henley Marrast covers AI-equity flow, accelerator demand, and earnings prints for AI Sheet Report. She leads coverage of the public AI complex from the New York markets desk, with a focus on the daily tape and quarterly results. She has been writing about technology markets for several years.