Azeem Azhar's Exponential View
May 21, 2025 · 49 min · 10 segments
Aaron Levie, CEO & co-founder of Box, joins Azeem Azhar to explore how an “AI-first” mindset is reshaping every layer of Box – from product road-maps to pricing – and what that teaches the rest of us…
Aaron LevieGuest
I think what's going to happen, the part that will be unrecognizable, I want to first caveat that like I'm probably going to be wrong on 90% of anything that is sort of 12 months out.

You know, anything in AI that you can't like see and feel right now is just so hard to predict.

And it's actually, I think, relatively apropos of the name of your core content right now.

And so I somewhat try and readjust when we get asked like, okay, what roles won't exist, for instance.

But for the most part, I think it's what we will be doing in those roles that will fundamentally shift.

And then ultimately, the amount of output that we get from many of these roles will be the biggest difference.

I'm sure there's more, but like one is when you look at work, if you kind of imagine like a mass of work, and then you kind of think about AI taking part of that mass, that's sort of like I think our default instinct because of, you know, kind of what literature says and sci-fi.

It usually says, okay, we're working in the factory, robots took the jobs, and now nobody's working anymore.

I think there's a different way to think about AI, which is imagine work is actually on a timeline.

If you kind of zoomed out over a 200-year period, let's say back 100 years, forward 100 years, And you just sort of look at progress in society.

All we're really doing in work is sort of moving through some progress in society, right? We're trying to like cure cancer faster.

We're trying to, you know, give people better transportation so they can get places.

My view is AI is an accelerant to the timeline as opposed to a reduction of the kind of mass of work.


I think what's going to happen, the part that will be unrecognizable, I want to first caveat that like I'm probably going to be wrong on 90% of anything that is sort of 12 months out.

You know, anything in AI that you can't like see and feel right now is just so hard to predict.

And it's actually, I think, relatively apropos of the name of your core content right now.

And so I somewhat try and readjust when we get asked like, okay, what roles won't exist, for instance.

But for the most part, I think it's what we will be doing in those roles that will fundamentally shift.

And then ultimately, the amount of output that we get from many of these roles will be the biggest difference.

I'm sure there's more, but like one is when you look at work, if you kind of imagine like a mass of work, and then you kind of think about AI taking part of that mass, that's sort of like I think our default instinct because of, you know, kind of what literature says and sci-fi.

It usually says, okay, we're working in the factory, robots took the jobs, and now nobody's working anymore.

I think there's a different way to think about AI, which is imagine work is actually on a timeline.

If you kind of zoomed out over a 200-year period, let's say back 100 years, forward 100 years, And you just sort of look at progress in society.

All we're really doing in work is sort of moving through some progress in society, right? We're trying to like cure cancer faster.

We're trying to, you know, give people better transportation so they can get places.

My view is AI is an accelerant to the timeline as opposed to a reduction of the kind of mass of work.

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