Institutional Investors Managing $35 Trillion Now Want AI Spending Proven, Not Promised

Institutional investors representing roughly $35 trillion in combined assets under management have stopped debating whether AI works and started demanding proof that the money spent on it comes back. BCG’s 14th annual Global Investor Survey, canvassing more than 500 institutional investors across 16 countries between March 23 and April 10, 2026, found 87% expect AI to materially improve corporate fundamentals within two years — yet 56% think markets are overly optimistic about AI, 73% see current valuations creating headwind risk, and only 22% view AI as a source of sustainable differentiation. Just 57% believe companies report adequately on their AI agendas. The gap between belief in AI’s potential and confidence in how it’s being spent is now the story, not the technology.

That gap shows up inside companies too, not just in how investors read them from outside. Gartner’s March 2026 survey of 204 finance leaders found 45% of CFOs say their AI investments lean toward productivity and cost efficiency, while only 20% say the same investments lean toward improving decision quality — even though functions that invested in “Upend” initiatives, ones that create new value propositions rather than trim costs, were more than twice as likely to report high realized value from AI. Boards want growth and sharper decisions; a plurality of CFOs are still buying efficiency. BCG’s investor data backs boards’ instinct: only 22% of investors think AI is currently a real source of differentiation, which makes efficiency-only spend read as table stakes, not advantage.

The corrective isn’t more AI spending — 37% of BCG’s investors already call current spending “too aggressive” — it’s better accounting for what the spending produces. Forrester’s 2027 budget guidance, drawn from a global survey of 2,600 decision-makers, makes the same point from the demand side: Chief Research Officer Sharyn Leaver says organizations that outperform in 2027 won’t be the ones spending most on AI, but the ones investing in trusted data, strong governance, and organizational readiness.

Three surveys, one instruction in different vocabularies: investors, boards, and analysts are done rewarding AI activity and have started pricing outcomes. A transformation program that can’t yet show which specific initiatives moved margin, revenue, or decision quality — as opposed to simply shipping more AI tools — is exactly the gap BCG’s investors say goes unaddressed at 57% of the companies they hold.