Rob Goldstein

So if you think about these technologies...

first the reward for good work is more work so the to-do list for these technologies is infinite like genuinely infinite every year blackrock winds up having more engineers

We have roughly 5,000 engineers, data analysts, modelers.

Every year, we wind up having more engineers.

And every year, we wind up having a bigger to-do list of enhancements we could put within Aladdin.

So the first element of the AI capability, and I would argue the most mature use case that exists at an enterprise level, is coding.

So the ability to go through that to-do list, the velocity of that is off the charts.

The second component,

and this is one of the challenges of these enterprise expert systems, is that the number of times I've been in a meeting with a client where they say, why doesn't Aladdin do this?

And I'm like, hmm, I think Aladdin does that.

But let me, I don't want to like blurt it out.

Let me sort of follow up and then I'll leave the meeting.

I'll call the people smarter than me.

And they'll be like, Aladdin's done that for seven years.

And you're like, okay, the ability for people to keep current in technology is very hard.

And as much as we like the technology, most people, their goal with technology is to just interface with it to do their jobs and then go home.

So the ability to take an expert system that today requires a lot of knowledge and keeping up with it and instead just type in what you want it to do

And an agent will be the ultimate real-time user of Aladdin that will then do those activities.

All the same controls will exist.

The four eyes principle, all of those controls will exist.