The big trend

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In a report on the state of AI, McKinsey identified the following traits of leading AI companies, high performers that distinguish themselves from the rest:

Their AI efforts are geared less towards cost reduction and more towards creating new businesses and sources of revenue.
They’re more than 5x as likely to say they spend more than 20% of their digital budgets on AI.
They use AI more broadly, implementing AI in at least four business functions.
They’re more likely to use AI in product and service development, risk modeling, performance management, and more.
What you need to do now
Learn from, and adopt when appropriate, best practices from AI high performers. They don’t always get it right but they’re first-movers who can offer invaluable insight.
Follow an AI strategy playbook that helps you build a trustworthy foundation: for example, deciding on an approach, readying your technology, and enabling your people.
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Schneider Electric, Rossignol, and General Mills are three companies (although not cited by McKinsey) that are AI high performers. Here are their stories.

Leading AI companies: Schneider Electric
Scheider had already been using AI in a decentralized fashion for years when, in 2021, it began its AI at Scale initiative and appointed its first Chief AI Officer, Philippe Rambach, to formalize its AI strategy.

It has since implemented a global hub and spoke AI operating model. Each business function “spoke” (marketing, sales, service, etc.) has an AI product owner and change agent who works with the tech competency center “hub” to find new uses for AI, deliver the technology, and ensure employee adoption.