Why 95% of Enterprise AI Pilots Fail… and the 5% That Don’t

MIT studied 300 enterprise GenAI deployments. 95% produced zero measurable P&L impact. Klarna walked back its AI customer service overhaul. Duolingo reversed "AI-first" inside a week. Salesforce laid off Agentforce employees the same quarter that ARR grew 205%.

This is the operator read most AI press releases miss: AI agents are not replacing your team. They are replacing your bad process.

I'm Satya Sivunigunta. I scaled SelectBlinds from $125M to $220M as PE-backed CEO with AI-driven gains in acquisition, conversion, and retention. I'm a founding investor in BodhiAI Fund. I've seen both sides of the AI debate from inside the boardroom.

In this video:

Why MIT's 95% failure number is a process readiness number, not an AI failure number
What Klarna, Duolingo, and Salesforce are actually telling us
The three lessons from the SelectBlinds AI rollout for first-time CEOs
Why the next decade's winners will be the companies with the cleanest operating systems, not the biggest models

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Satya Sivunigunta is a former CEO of SelectBlinds ($220M ecommerce), with prior operating roles at Nike, Microsoft, Ogilvy, JCPenney, and Conn's HomePlus.

📖 Full essays: https://www.satya.me
💼 LinkedIn: https://www.linkedin.com/in/sivunigunta
📧 The Operating Journal (Substack): https://satyasivunigunta.substack.com/
🐦 X: https://x.com/sivunigunta

TOPICS COVERED IN THIS VIDEO
AI agents, enterprise AI, GenAI, MIT report, Klarna AI, Salesforce Agentforce, Duolingo AI, AI for CEOs, AI in business, AI failure, AI strategy, digital transformation, operator mindset, retail AI, PE-backed CEO, SelectBlinds, CEO lessons, AI deployment, AI ROI, AI strategy 2026

Видео Why 95% of Enterprise AI Pilots Fail… and the 5% That Don’t канала Satya Sivunigunta