About this episode

The episode discusses the challenges and strategies for scaling enterprise AI, featuring insights from McKinsey's AI practice leader.

Fewer than 100 companies have scaled enterprise AI from pilots to production to capture great value. Alexander Sukharevsky, who leads QuantumBlack, McKinsey's AI practice, joins Michael Krigsman to lay out the repeatable recipe behind those results and why the winners earn roughly three dollars back for every dollar invested. The conversation covers what capturing AI value really requires, why the CEO and board must own the transformation, and how to lead a hybrid workforce where agents work as colleagues, not tools. ====== This episode brought to you by Gartner IT Symposium/Xpo™: https://cxo.news/KGg8XY ====== YOU'LL DISCOVER ✅ Why fewer than 100 companies captured two-thirds of AI's value, and what they did differently ✅ The repeatable recipe: focus a few domains, ready your data, rewire architecture, and fix the economics ✅ Why AI transformation must be led by the CEO and board, not handed to the CTO or chief digital officer ✅ How to treat AI agents as accountable colleagues, and who stays accountable for the outcomes ✅ Why reinventing a domain beats bolting AI onto an existing process ✅ How the winners pursue cost savings and top-line reinvention at the same time ✅ Why…

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