Caroline Hyde

The third area is actually combining what I call clickstream, which is the path that customers will take through websites and profiles to be able to present a much more specific recommendation on what a next step might be for a customer.

And finally, one of the big issues for companies is

sort of confidently putting AI to work in their business.

And in this case, we've added observability where you can inspect how an AI is reasoning, how it's thinking, what tools it's using.

So companies can really observe AI in the same way they would think about the people in their business working with customers.

Yeah, I see a future where actually everyone is managing a team of AI agents.

And I think our frontier agents with software developments, DevOps and security is sort of one of our first moves in that direction where you actually have a teammate with a developer who's able to address complex problems, able to work over hours and days, be able to solve for whole objectives and to scale with that person.

The role changes.

I think we all are managing AI teams

teammates, a team of people that are all of AI people that are out able to, we can delegate to, we can inspect what they're doing, we can iterate with them, provide feedback.

And for me, that's where I think we end up going.

I think we're clearly moving that way in the customer service direction.

And I think the developer experience is also clearly moving that direction.

Yeah, that's true.

And I think what I observe within Amazon, certainly we're all very keen to get our hands on our new frontier agents.

And that is something we've had in beta internally.

And I think teams are very excited to use that in production.

We use Kinect.

within our own customer service teams, our seller support teams, our AWS support teams, for example.

And so we continue like to iterate and learn from that.