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Alexander Sukharevsky

8 facts from 1 episode, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.

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Alexander Sukharevsky says fewer than 100 companies have captured more than two thirds of AI transformation value, working in two or fewer domains with a one-to-three return ratio.

“Less than hundred companies so far have captured more than two thirds of the value. They did it in two or less domains with one to three return ratio.”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:00:00

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Sukharevsky believes AI transformation should be driven by the CEO and board rather than only the CTO or chief digital officer.

“Correct, and I truly believe that this transformation should be driven by the CEO and the board, because if it's driven just by the CTO or chief digital officer”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:13:42

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Sukharevsky says a flexible architecture that can plug in different AI models is a competitive advantage.

“if you have a flexible architecture where you're able to plug different models, that gives you a competitive advantage.”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:23:59

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Sukharevsky says not all tasks require large language models, and cheaper methods or smaller models can reduce token costs.

“not all of them require large language models.”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:24:37

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Sukharevsky says enterprises cannot outsource auditing of their AI transformation progress and must measure it themselves.

“Unfortunately, or fortunately, you need to do it yourself.”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:33:49

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Sukharevsky says AI transformation should be owned and led internally, though some capabilities can be outsourced temporarily.

“the transformation itself should be done, owned, and led internally.”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:45:14

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Sukharevsky says he manages overload from AI agents by working in focused two-to-three-hour blocks and then disconnecting to reflect.

“you go very focused for two, three hours, but then you should disconnect in order to allow yourself time to reflect, to plan”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:35:42

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Sukharevsky says that because agents work overnight and during exercise, he risks becoming the bottleneck in his own work.

“I'm becoming the bottleneck, and therefore, it's very easy to go into the rabbit hole where machine drives your behavior.”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:35:13

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