88% of AI Agents Never Reach Production — And the Ones That Do Reveal a Pattern
New data shows the vast majority of AI agent projects stall before deployment. The few that survive share an emphasis on infrastructure — memory, error recovery, and self-repair — over model selection.
The AI agent hype cycle is producing an enormous amount of demo-ware and a vanishingly small amount of production software. According to data shared by @johniosifov, 88% of AI agent projects never reach production — a failure rate that should alarm anyone building or investing in agent-based systems. The post highlights one counterexample: 1,122 agent sessions running autonomously for 170 days, a rare instance of sustained production deployment.
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