Jordi Hays

Hold on.

What was it like 20 years ago?

I feel like AWS is barely 20 years old.

Were you the first person on the team?

You and Andy were hanging out and racking servers?

Yeah, I imagine that the typical database business, the analytics business, all of that is growing, but it's being driven by more agentic AI use.

Talk about the new releases, the new launches, and I want to know how do we compare and contrast continuum from context?

How do companies use the right tool for the job here?

Yeah, I want to dig deeper into those continuously running AI agents.

I think when people think agentic AI, they go to coding agents because everyone's had the magical experience with those and seen the impact and the spend and the token maxing that happens when you deploy AI agents across a huge workforce of knowledge workers, heavily software engineers.

But I'm more interested in

in the less understood agentic workflows that are happening, maybe deeper and autonomously in a business.

And I'm trying to get to a world where I have that case study at the tip of my tongue for every time I book a flight, it runs an agentic workflow to make sure that my seat on the plane is correct.

I don't know how to contextualize it, but I know it's happening and I know you're seeing it.

Walk me through some of the agentic workflows or agentic AI work that's happening even if no one shows up to the office.

It's a company holiday and there are still tokens being spent.

What does that look like?

What is the shape of that work?

What is demand like for model routing these days?

AWS is fascinating because you've sort of, maybe it's brilliant by design, but sort of the Switzerland of AI in the sense that there's partnerships with Anthropic, OpenAI, there's a whole bunch of other foundation models that are available on AWS.