Stanford puts 2026 AI investment above $1 trillion as job concerns persist

Companies have committed more than $1 trillion to AI globally so far in 2026, but public expectations and employment trends tell a less confident story. Stanford HAI’s preliminary AI Index findings, published November 15, pair that investment milestone with widespread concern about jobs and deepening employment declines in some occupations where AI supports human work.

The disclosure draws on refreshed annual and year-to-date datasets as Stanford prepares its next AI Index. In the November 15 article, Index editor Sha Sajadieh presents previously unreleased findings across investment, public sentiment and the labor market—not a completed annual report.

The spending comparison is striking even before the year ends: global corporate AI investment has already exceeded the full-year 2025 total by 46%. That figure compares part of 2026 with all of the previous year; it is not a forecast of where investment will finish in December.

Optimism about AI, unease about its footprint

Public opinion does not divide neatly into support or opposition. A majority of respondents globally still say AI’s benefits outweigh its drawbacks. Yet in every country surveyed, more people expect AI to eliminate jobs than create them. Those findings describe different judgments: whether AI is beneficial overall and what it may mean for employment.

In the United States, the unease also concerns infrastructure close to home. Asked about a new data center in their area, most adults said they would feel uncomfortable. That view included majorities in both political parties, rather than being confined to one side of the political divide.

60%U.S. adults uncomfortable with a new local data center

Stanford’s preliminary findings put discomfort with a new data center in respondents’ own area at 60%.

Employment weakness reaches beyond replacement-oriented work

The labor-market findings concern observed employment, not survey expectations. Stanford HAI’s Digital Economy Lab tracks these trends through its AI Economic Indicators. Those data show that employment declines among younger workers in occupations exposed to AI continued into 2026, particularly in customer service.

The newly disclosed finding broadens that concern. Employment declines have deepened even in occupations characterized by AI use that helps people do their work rather than replaces it. Stanford names marketing and IT managers as examples. The distinction is about how AI is used within an occupation, not simply whether that occupation encounters AI.

These patterns do not establish that AI caused the employment declines. They identify weakness in particular parts of the workforce, without resolving what drove it. Stanford’s next full AI Index is scheduled for April 2027.