chat GPT has got 8 or 900 million weekty out of users and if you're the kind of person who is using this for hours every day ask yourself why five times more people look at it get it know what it is have an account know how to use it and can't think of anything to do with it this week or next week the term AI is a little bit like the term technology once something's been around any for a while, it's not AI anymore. Is machine lighting still AI? I don't know. In actual general

usage, AI seems to mean new stuff. And AI seems new scary stuff. AgeI seems to be a little bit

like this. Either it's already here and it's just more software or it's five years away and

will always be five years away.

We don't know the physical limits of this technology and so we don't know how much better it can

get. You've got Sam Malton saying we've got PhD level researchers right now and Demis Asibis says

no we don't shut up. Very new, very very big, very very exciting world's changing things tend to lead to bubbles.

So yeah, if we're

not in a bubble now, we will be. Is AI just another platform shift or the biggest transformation

since electricity? Benedict Evans, technology analyst and former A16D partner, has spent years

studying waves like PCs, the internet, and cell phones to understand what actually changed

and who captured the value. Now he's turned that same lens on internet, and cell phones to understand what actually changed and who captured the value.

Now he's turned that same lens on AI, and the picture is far more complex than benchmarks or hype cycle suggest.

Some industries may be rewritten from the ground up. Others may barely notice.

Tech giants like Google, meta, Amazon, and Apple are racing to reinvent themselves before someone else does.

Yet for all the excitement, most people still struggle to find something they truly need AI for

every single day. I disconnect, Benedict thinks is an important signal about where we really are

in the curve. In today's episode, we get into where bottlenecks emerge, why adoption looks the way

it does, what kinds of products still haven't

shown up, and how history can actually guide us here. And finally, what would have to happen

over the next few years for us to look back and say AI wasn't just another wave? It was bigger

than the internet. Benedict, welcome back to the AISNZ podcast. Good to be back. We're here to discuss your latest presentation, AI Eats the World. So for those who haven't read it yet, maybe we can share the high-level thesis and maybe contextualize it in light of recent AI presentations. I'm curious how you're thinking has evolved. Yeah, it's funny. One of the slides in the debt reference is a conversation where I had with the big company, CMO, who said we've all had lots of AI presentations now. We've had the Google one and the Microsoft one. We've had the Bain one and the B.C.G. one. We've had the one from Accenture and the one from our ad agency. So now what? So there's sort of 90-odd slides. So there's a bunch of different things I'm trying to get at.

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