Marquee Sources
Every statistic displayed in the homepage marquee is drawn from a verifiable primary source. The citations below correspond to the 12 consequence statistics in the current pool.
Verified: April 2026 · Next quarterly review: July 2026
80.3% of AI projects fail to deliver their intended business value.
RAND Corporation (2025)
rand.org/pubs/research_reports/RRA2680-1.html95% of organizations deploying generative AI saw zero measurable return. Not low return. Zero.
MIT Project NANDA — State of AI in Business (July 2025)
MIT Project NANDA research report70% of healthcare digital transformations fail to meet their goals.
McKinsey & Company (2024)
mckinsey.com/industries/healthcare/our-insights80% of healthcare AI projects never scale beyond the pilot phase.
Health Technology Digital (August 2025)
healthtechdigital.comHealthcare ranks second-highest for AI project failure at 78.9% — driven by clinical validation gaps, physician adoption resistance, and EHR integration failures.
RAND Corporation Enterprise AI Analysis (2025)
rand.orgThrough 2026, Gartner predicts 60% of AI projects unsupported by AI-ready data will be abandoned.
Gartner, Inc. (February 2025)
gartner.com/en/newsroom/press-releases/2025-02-2642% of companies abandoned at least one AI initiative in 2025 — average sunk cost: $7.2 million per abandoned initiative.
Deloitte / S&P Global Market Intelligence (2025)
Deloitte AI survey / S&P Global Market Intelligence75% of health system executives say digital and AI transformation is a high priority — but lack sufficient resources or planning to deliver on it.
McKinsey Digital Transformation in Healthcare Survey (2024)
mckinsey.com/industries/healthcare78% of health systems are engaged in AI projects. Only 52% feel operationally ready to deploy them.
Guidehouse / HIMSS 2026 Healthcare AI Trends Report (February 2026)
guidehouse.com/news/healthcare/2026/himss-ai-at-scaleOnly 28% of organizations report that their CEO directly oversees AI governance, and just 17% report that their board does — even though CEO oversight is the element most strongly correlated with bottom-line impact from generative AI.
McKinsey & Company — The state of AI: How organizations are rewiring to capture value (March 2025)
mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-aiOnly 1 in 5 organizations has a mature governance model for autonomous AI agents — even as agentic AI deployment is poised to rise sharply.
Deloitte — State of AI in the Enterprise 2026 (survey of 3,235 senior leaders, August–September 2025)
deloitte.com/global/en/issues/generative-ai/state-of-ai-in-enterprise.htmlAt least 50% of generative AI projects were abandoned after proof of concept due to poor data quality, inadequate risk controls, escalating costs, or unclear business value.
Gartner, Inc. (January 2026)
gartner.com/en/articles/genai-project-failureThis pool is reviewed quarterly. Sources are verified against their primary publication at each review. Any statistic whose source has been superseded, retracted, or is no longer accessible is retired from the pool. If you have a question about a specific citation, contact [email protected].
