AI failures in 2026 are structural and organizational, not technical¶
Insight: Based on 49 podcast episodes with product leaders, researchers, and executives, a clear pattern emerges: most AI product failures are not technical — they are structural, organizational, and strategic. The gap in 2026 is not between companies that "use AI" and those that don't, but between organizations that restructured how they create value and those that simply layered AI onto existing products, workflows, and org charts.
Detail: AI is no longer a differentiator — it is infrastructure that forces rethinking how organizations think, work, and create value. The biggest risk is not missing AI capabilities but failing to restructure teams and processes around them.