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Wed, October 1409:29Business/PolicyInfra & costEnterprise AIAI fundingInfra & cost guide

New study: AI spending still hard to tie to quantifiable financial returns

Decision Brief

What changedA new study again finds it remains "very difficult to find actual, materially measurable financial impact" from enterprise AI spending.
Why it mattersTeams evaluating LLM ROI can treat this as another piece of counter-evidence: public research broadly fails to detect financial returns at scale, and this is not merely a technical-metrics issue.
Who should careAll AI builders
Affected stackNo specific stack identified
Source confidenceMedium · Reliable media or first-hand reporting

Gary Marcus cites a new study reported by The Information's Laura Bratton, saying it remains "very difficult to find actual, materially measurable financial impact" from AI spending, and that this is yet another study pointing in the same direction. The article also notes the contrast between the scarcity of documented returns and trillions of dollars in investment looks anomalous and puzzling. The conclusion directly affects enterprise technology leaders reporting ROI to management, teams seeking project approval for AI, and finance decision-makers who must explain compute and model spending to investors. The article also cites market signals such as Character.AI filing for bankruptcy and Coreweave bond yields rising to 15% as evidence that credit markets are cooling on AI infrastructure expansion, though the original text does not provide the study's sample, industry scope, or measurement methodology.

Summary basis: full article readCompiled from the source scope noted above; the original remains authoritative.

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