But are people trying to avoid having that? What is the pipe dream here with AI? Lauren, you want to say something as well?

Sure.

I think I wanted to point out the extremely profound nature of what Eva and David are talking about.

you know the theory of constraints you know that bottlenecks sometimes shift and we've been heading in this direction for a little while ai is accelerating it eva you're completely correct the bottleneck is no longer the technology it is the capacity of organizations to adopt and integrate that technology in their existing systems and bureaucracies and this is especially happening in the enterprise where the complexities of the human interactions and the workflows, David, and the decisions, let's not forget about decisions, which are not the same as workflows.

So we're in a moment here where the tech people want you to think all the improvement is going to happen from tech improvement, tech improvement, AGI, AGI.

It's a complete distraction from the fact that tech never sinks in unless it's people, process, and tech and the people, the capacity for adoption is becoming the bottleneck.

I don't know if you've heard of this thing called Erooms law.

Is that when you know, Lorraine, is it because we're focusing too much? You started off actually initially with the first thing you said, I think, after you said hello, was that we don't just need more data, we need the right stuff, right? Is it the same problem here that we are constantly talking about everything everywhere all at once instead of talking about specifics, Lorraine?

But are people trying to avoid having that? What is the pipe dream here with AI? Lauren, you want to say something as well?

Sure.

I think I wanted to point out the extremely profound nature of what Eva and David are talking about.

you know the theory of constraints you know that bottlenecks sometimes shift and we've been heading in this direction for a little while ai is accelerating it eva you're completely correct the bottleneck is no longer the technology it is the capacity of organizations to adopt and integrate that technology in their existing systems and bureaucracies and this is especially happening in the enterprise where the complexities of the human interactions and the workflows, David, and the decisions, let's not forget about decisions, which are not the same as workflows.

So we're in a moment here where the tech people want you to think all the improvement is going to happen from tech improvement, tech improvement, AGI, AGI.

It's a complete distraction from the fact that tech never sinks in unless it's people, process, and tech and the people, the capacity for adoption is becoming the bottleneck.

I don't know if you've heard of this thing called Erooms law.

Is that when you know, Lorraine, is it because we're focusing too much? You started off actually initially with the first thing you said, I think, after you said hello, was that we don't just need more data, we need the right stuff, right? Is it the same problem here that we are constantly talking about everything everywhere all at once instead of talking about specifics, Lorraine?