WEBVTT

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The AI landscape is evolving
very rapidly.

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We just launched a new research
with 1,800 executives worldwide

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to take the pulse of executive
minds on AI.

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What did we find?

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Well, AI is a top priority for
75% of executives out there.

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That being said, only 25% of
them say they have seen material

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impacts from AI in their
P&L.

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Now when you unpack what
separates those that have impact

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and those that don't, you find a
couple of underlying sources

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that turn into a very robust
AI-transformation playbook.

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The first one is actually focus.

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The leaders focus on three
initiatives, on average, versus

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the rest of the group that go
after at least six.

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Then there's also the nature of
the initiative that they pursue.

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The leaders really focused on
reshaping, reinventing their

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processes and products and
services with AI versus the

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others that are focusing on
day-to-day productivity.

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A good analogy for that is light
bulbs.

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If you think of when electricity
was invented, some people

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invested in light bulbs for
people to work longer and

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longer.

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Other people invested in
machines and reinvented the way

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they were working.

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And I think what we find is
leaders invest in machines, not

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light bulbs.

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Another key dimension is the
rigor that you take in doing the

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transformation.

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It means how you track it.

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Many companies do not track
anything on AI. Financial

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impact, operational impact—

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that makes a huge difference.

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And last but not least, AI is a
people-centric transformation.

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The leaders that see impact
invest behind upskilling,

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operating model, transforming
their workflows, and supporting

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them on that transition.

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In 2025, it would be really hard
to talk about AI without talking

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about agents.

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It's top of mind for more than
60% of executives.

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The one thing you need to know
about agents is that they are

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not a silver bullet.

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They will not solve all of your
integration and process

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complexities by themselves.

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You need to go about
implementing them with the same

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level of focus, change
management, and effort that you

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would for other AI use cases.