McKinsey Bets on Outcome-Based AI

Google just put $750 million on the table to supercharge agentic AI in the enterprise, and McKinsey didn’t waste a second. They’re teaming up with Google Cloud, Accenture, and Deloitte to roll out AI agents built on Google’s Gemini, with DeepMind giving early access and Google engineers working side by side with consultants. The twist: McKinsey is pitching “outcome-based” deals, where clients only pay if real economic benefits show up. That shifts risk onto the consultants—if AI fizzles or data’s a mess, McKinsey’s margins take the hit.

But here’s the catch: backing one model vendor like Gemini is a gamble, especially as Anthropic and OpenAI move fast, and Accenture and Deloitte are gunning for the same deals. Plus, McKinsey’s using agents not just for clients, but for internal operations—think AI-driven staffing—while trimming back-office jobs and flattening the traditional consulting pyramid. That speeds up delivery, but could erode the firm glue that keeps quality high.

Numbers matter: McKinsey claims its Rewired clients see $3 return for every $1 invested, but the sample size is small and the pressure for proof is intense. Featuring insights from Business Insider, Bloomberg, and leadership like Philipp Nattermann and Holger Hürtgen, this episode unpacks the risks—and what it’ll take for this $750 million bet to pay off.

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