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For companies to see
returns on their AI investments,

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they must put in place
strong foundations,

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starting with innovation.

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Companies can begin by using AI
to discover new value pools

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that are forming around
shifting customer needs.

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They can then capture growth
by quickly developing

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new products and services
around those needs.

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Leading companies that
outperform their industry peers,

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when it comes to AI, generate
twice as much revenue from

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products and services they
launched in the past three years.

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They are also 2.6 times as likely

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to say AI helps innovate
their business models.

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This shows that being serious
about innovation really pays off.

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These high performers also promote
innovation across their workforce.

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They appoint innovation owners
who have the task of supporting

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AI innovation projects
within specific business units,

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and they use performance incentives
to encourage employees

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to take a proactive
test-and-learn approach to AI.

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And they set up the right infrastructure
so that talent can experiment

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with AI creatively,
but also safely, in dedicated sandboxes.

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Lastly, top performers take a disciplined
approach to managing innovation.

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They run structured reviews to decide
which innovation projects

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to progress, to prioritise, or to end.

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And they do that by using clear metrics to
scale what works and stop what does not.

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So leaders deploy their resources
into ideas with real commercial impact.

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In this way, top-performing
companies stimulate

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AI innovation across the enterprise,

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setting them up to compete and win
in promising new value pools.