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To get the most out of AI,
the workforce is absolutely essential.

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Leaders need to make sure
that their people have the skills

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and the confidence
to use AI in the right way

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and that those skills keep
evolving as the technology evolves.

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The organisations getting
the most value from AI

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are investing in clear skills pathways

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so that their people grow
alongside the technology.

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When that happens,
AI stops being a technology experiment

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and becomes a real driver
of business performance.

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In fact, according to our research,
top-performing companies

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are 1.7 times as likely to provide
ongoing, role-based AI learning.

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That means helping people
understand how to use AI

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in the context of the job
that they actually do.

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A big part of this, and central to this,
in my opinion, is building trust.

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Leaders need to be clear
about how AI should be used responsibly

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and what good human-AI
collaboration actually looks like.

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When people understand that
AI is there to augment their skills

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rather than replace them, that's
when real collaboration starts to happen.

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Just as important is creating a culture

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where people feel
comfortable to experiment.

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That experimentation drives engagement,

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helps organisations learn faster,
and ultimately improves performance.

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Our survey shows that organisations
that are getting ahead

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in terms of the results from AI

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involve cross-functional teams
when developing AI solutions.

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That means bringing together teams early
to get their views on where the technology

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can be embraced as they redesign
the work that is being done.

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When AI is built into systems
with the right guard rails,

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it can automate routine
decisions and processes.

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That frees people up to
focus on the harder things: 

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being creative, problem
solving, and strategic decisions.

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When organisations redesign
that flow of work,

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embrace the technology,
equip their people with the right skills,

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that's when we see
organisations leaping ahead

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in terms of superior
business performance.