Don’t Automate Chaos: Why Most AI Transformations Fail

Don’t Automate Chaos: Why Most AI Transformations Fail

From How to Build a Growth System by rev.space

March 31, 2026 · 45 min · Season 3 · Episode 6

About this episode

The episode discusses why many AI transformations fail due to organizations automating broken systems instead of addressing underlying issues.

Episode title options Primary recommendation (sharp + timely): “Don’t Automate Chaos: Why Most AI Transformations Fail” Alternatives (more/less provocative): “Rocket Boosters on Paper Planes: The AI Implementation Trap” “AI Isn’t the Problem—Your System Is” “Agentic AI, Real Risk: How to Avoid Scaling Dysfunction” “The 80% AI Failure Rate: What Leaders Keep Missing” “AI Transformation ≠ IT Project: The Systems Approach” Episode summary (listing copy) Companies are spending thousands — even millions — on AI. And then… confusion. Worse outcomes. More complexity. More opacity. Sometimes, real reputational or legal blowback. In this episode of How to Build a Growth System , Colin and Chris unpack why so many AI rollouts are failing to deliver measurable value — and why the “race to AI” is pushing organisations into a dangerous pattern: automating broken systems . Drawing on widely reported failure rates (including claims that ~80% of organisations see no measurable positive impact), they argue the core issue isn’t the model, the vendor, or whether GenAI “works.” It’s that leaders are treating AI like just another tool rollout , when it’s actually a business transformation problem…

People in this episode

Hosts: Colin, Chris

Topics covered

  • AI transformation
  • business transformation
  • systemic issues
  • automation
  • failure rates

Keywords

  • AI
  • transformation
  • business
  • automation
  • failure rate
  • systemic causes
  • risk

Mentioned in this episode

Organizations: AI, GenAI

More episodes of How to Build a Growth System

Explore listener stats, chart rankings, contacts and more on the How to Build a Growth System podcast page.