GoKawiilMadrona survey: 77% of enterprises re-evaluate AI vendors every six months
A new Madrona Venture Group survey of 150 enterprise IT professionals finds that most companies review their AI vendor choices twice a year or continuously, rather than locking into multi-year deals as they did with traditional SaaS. The report also shows fewer than half of enterprise AI pilots reach full production, though that marks an improvement over MIT's earlier finding of a 95% failure rate.
GoKawiil's interpretation of the reporting above, not reported fact.
Fast-growing ARR figures touted by AI startups have relied on the assumption that enterprise pilots convert into durable, long-term contracts. If big customers keep shopping around every few months, the low switching costs could make those headline revenue numbers far less stable and predictable than investors have assumed, undermining valuations built on SaaS-style retention logic.
- 74% of enterprises plan to increase AI spending over the next year, with the rest holding steady
- Under half of enterprise AI pilots make it to full production, still better than last year's reported 5% success rate
- 77% of enterprises re-evaluate AI vendors every six months or continuously, weakening long-term revenue security for AI startups
AI Engineering" by Chip Huyen (book) — If enterprises are killing AI pilots that never reach production, this O'Reilly book is a practical guide to actually shipping AI applications that survive review cycles. Chip Huyen walks through building with foundation models, evaluation, and deployment decisions — exactly the gap between pilot and production the Madrona research highlights.
See AI Engineering" by Chip Huyen (book) on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: techcrunch.com — Julie Bort, 2026-09-03
Published there as: “Startup ARR is less secure than ever, new research shows”
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