Generative AI

The takers, shapers, and makers of gen AI


After the entrance and buzz of generative AI (gen AI) led to surges in adoption and scaling, 2024 is the year organizations truly began using—and deriving business value from—this new technology. Today, the takers, shapers, and makers use gen AI models off the shelf, customize them with proprietary data, or develop them from scratch.

But who is leading the pack, and what are they doing differently? Not surprisingly, say McKinsey’s Michael Chui and coauthors, only a small group of high performers report that a meaningful share of their organizations’ EBIT can be attributed to their deployment of the technology. These high performers use gen AI in more business functions, pay more attention to challenges, and follow a set of risk-related best practices.

Expectations remain high. Check out these insights to learn more about gen AI use in 2024, including the industry that reported the biggest adoption increase and the most notable gen-AI-related risk.

The state of AI in early 2024: Gen AI adoption spikes and starts to generate value

A generative AI reset: Rewiring to turn potential into value in 2024

The economic potential of generative AI: The next productivity frontier

Implementing generative AI with speed and safety

Moving past gen AI’s honeymoon phase: Seven hard truths for CIOs to get from pilot to scale

Exploring opportunities in the generative AI value chain

Driving innovation with generative AI

Generative AI is here: How tools like ChatGPT could change your business

What is generative AI?

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McKinsey’s ecosystem of strategic alliances brings the power of generative AI to clients

Chart of the Day: Gen AI’s productivity possibilities



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