Only 28% of AI infrastructure-and-operations projects fully pay off, and 57% of leaders reporting failure cited "expected too much, too fast" as the top contributing factor.
- Analyst published
- Logged
- Cadence
- 90 days
- Next review
- 2026-07-18
As originally stated"57% of I&O leaders reporting a failure said they had "expected too much, too fast.""
Why this was logged
Flagship Gartner Q1 2026 I&O data. The 28% pay-off + "too much too fast" diagnosis surfaced in every major analyst roundup through April 2026 and is cited in AM-013 + AM-022 on this site.
Review history
No reviews yet. First review scheduled for 2026-07-18.
This record tracks what the source stated, with evidence for the current verdict. Verdicts describe what the evidence shows, not vendor intent. See methodology for the full counter-evidence + review discipline.
Note on source URL: Gartner’s own press-release page is not archivable via the Wayback Machine (Gartner actively blocks archival crawlers, returning HTTP 520). The source_url above points to The Register’s 7 Apr 2026 coverage, which is the most-cited archivable secondary reporting. The Gartner primary can be reached by Gartner subscribers at the press-release URL anchored in that coverage.
One of the most heavily-cited Gartner findings of Q1 2026. The 28% pay-off rate establishes a hard empirical anchor for enterprise-AI ROI conversations; the “too much, too fast” diagnosis points at organisational-maturity preconditions rather than technology capability as the binding constraint. Review at 90 days against the Gartner Q2 I&O update (expected July).