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The seven operating truths of AI-native companies

15 AI-savvy companies just revealed what separates winners from the rest. Most organizations are still getting it wrong.

Reporting by McKinsey Insights 1 min brief
Illustration of two anonymous hands arranging task cards around an amber tool on a shared desk.
People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

McKinsey synthesizes operational best practices from leading AI-native companies, offering strategic guidance for enterprise leaders on how to move beyond tool adoption to systemic AI integration—critical context for boards and CTOs evaluating their own AI maturity.

The key facts

8 to know

  1. Study covers 15 AI-native companies

  2. Identifies seven core operating principles for AI integration

  3. Focuses on organizational execution gaps between aspirational and mature AI adoption

  4. Published by McKinsey (credible research source)

  5. Targets C-suite and leadership decision-making

  6. Study based on 15 AI-savvy companies

  7. Seven operating truths identified as differentiators

  8. Gap between companies with AI tools vs. AI-native companies highlighted

Go to the source

McKinsey Insightsmckinsey.com

Publisher excerpt: Almost every company has AI tools, but few really know how to use them. Leaders at 15 AI-savvy companies say the difference comes down to seven operating truths—that most organizations still get wrong.
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