The PromptFluent State of AI Debt Report (2023-2026)
A research briefing that brings together published findings from Asana, BetterUp Labs and Stanford, S&P Global, McKinsey, Microsoft, IBM and others on the financial and operational impact of unmanaged AI execution. The findings belong to those researchers; the AI Debt framing and interpretation are PromptFluent's.
42%
of companies abandoned most of their AI initiatives in 2025, up from 17% a year earlier
S&P Global Market Intelligence, 2025$9.2M
a year in workslop for a 10,000-person organization: 10,000 × 41% estimated prevalence × $186 a month × 12
BetterUp Labs & Stanford Social Media Lab, 202579%
of organizations expect to accumulate “AI debt” from poorly implemented autonomous AI
Asana Work Innovation Lab, 2025 (9,236 knowledge workers)15.4%
of the content they receive at work is workslop, by the estimate of employees who have received it
BetterUp Labs & Stanford Social Media Lab, 2025Only 19%
of knowledge workers report clear agreements on which tasks humans versus AI should handle
Asana Work Innovation Lab, 2025Gartner forecast worldwide GenAI spending of $644 billion in 2025 (a forecast made in March 2025, not a measured total). In McKinsey's 2025 survey, 88% of respondents said their organizations use AI regularly, but only 39% reported any enterprise-level EBIT impact. In Asana's 2025 survey, 79% of organizations expect to accumulate “AI debt”.
In a September 2025 survey of 1,150 U.S. full-time desk workers, 40% had received AI-generated “workslop” in the past month. Each instance took an average of 1 hour 56 minutes to deal with, which the researchers value at $186 a month for each employee who receives it. At their 41% prevalence estimate, a 10,000-person organization works out to 10,000 × 41% × $186 × 12 ≈ $9.2M a year; the researchers call it “over $9 million”.
In Asana's 2025 survey, 62% of knowledge workers said unreliable or inconsistent performance makes AI agents unusable, and 85% said all AI-agent output should be reviewed by a human. Checking AI output is work, and somebody's calendar pays for it.
78% of AI users bring their own AI tools to work, and only 39% of people who use AI at work have had AI training from their company (Microsoft & LinkedIn, 2024). In a November 2025 BlackFog survey of 2,000 U.S. and U.K. employees at companies with 500+ staff, 49% said they use AI tools their employer hasn't sanctioned.
In IBM's 2026 Cost of a Data Breach study, 68% of the 602 breached organizations lacked AI governance to manage AI or detect shadow AI, up from 63% a year earlier, while policies still “in development” rose from 22% to 33%. In Grant Thornton's 2026 survey of 950 senior leaders, 78% lacked strong confidence they could pass an independent AI governance audit within 90 days. PromptFluent's reading: the policy is being written while the work runs ungoverned. The full set of 2026 AI governance statistics has its own page, and the AI governance platform category map shows where each kind of tool stops.
IBM's Institute for Business Value found that ignoring technical debt can cut AI ROI by 18% to 29%, and modeled more than $120 million a year in added implementation costs for a $20 billion enterprise putting 20% of its IT spend into AI (November 2025).
In McKinsey's March 2025 survey, only 21% of respondents whose organizations use gen AI said they had fundamentally redesigned at least some workflows. In its 2026 survey, nearly three-quarters of AI high performers had done so, against about a quarter of other respondents. PromptFluent's reading: the organizations getting value treat AI execution as infrastructure, not an experiment.
The full briefing as a PDF: the sources, the costs and the case for treating AI execution as infrastructure.
Free download. No email required. The PDF is the February 2026 edition; where its figures differ from this page, this page is the corrected version (updated October 2026).
PromptFluent's research briefings, frameworks and analysis on AI debt, execution governance, and enterprise AI infrastructure, with third-party findings attributed to their original researchers.
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