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If you look at the way you use wearables,

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you feel like you have a little bit of a helper,

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something that's reminding you

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to take steps or take a call.

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You look at that trend of health and wellness

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and starting to add the ability

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to track every data point

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on how you're feeling, your emotion,

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your heart rate, where you're going every day.

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This is where I think there's been some fear.

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Ethics is a big question.

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How should leaders think

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about the ethical impact that their data has?

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Ten years ago, our majors in our educational systems

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were typically split.

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You had computer science, philosophy,

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economics, anthropology.

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Look at the financial collapse.

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This was a combination of society,

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economics, philosophy, humanity,

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reactions to things, emotion, right?

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It wasn't just one thing in a silo.

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What I'm really beginning to see as a major shift

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is the appreciation of merging those disciplines together

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to really understand how data and AI and ML

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are really going to impact the world.

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Right now, a lot of times we build technology

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for reasons that are great reasons

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but sometimes a little shortsighted.

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But if every person in a company

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is thinking of questions that are bigger than themselves,

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questions like making sure we have drinking water,

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questions like making sure

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the company survives a hundred years,

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how, ethically, these things are going to impact the world.

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It's not just about what they're building,

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it's who they're building it for,

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it's what societal impacts it has.

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Is it good for sustainability?

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And we're doing some of that now

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but it really is about bringing that

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into the culture and the ways of working

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versus just having the very kind of

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top-line CEO think about it.

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Once companies embrace ethics

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and really make it a part of their way of working,

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that is really when I think we've cracked the code

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in figuring this AI in the next decade question out.