Databricks' Arsalan Tavakoli discusses why many enterprise AI initiatives stall after the pilot phase at TechCrunch Disrupt 2026. The core issue is not a lack of technical capability but misalignment between how founders build AI solutions and how enterprises actually buy and deploy them.
Tavakoli highlights common mistakes founders make when approaching enterprise customers, pointing to sales, organizational readiness, and integration challenges rather than AI model limitations. The talk offers practical guidance for AI startups navigating the gap between promising results in controlled pilots and real-world enterprise adoption at scale.
This is an AI-written summary. The original reporting belongs to @TechCrunch. How we write these · Spot a mistake?