So I know you touched on it earlier, but what human capabilities and skills sort of matter more now, not less as AI sort of gets more capable.

Yeah, so I think we sort of see as sort of five kind of human native capability kind of groups, right? And these are things that I think, even though AI capabilities continue to exponentially increase, and if you looked at sort of, there's a sort of meter benchmark that shows the exponential increase in the length of tasks that tools can autonomously complete, and particularly around coding, you know, just showing how far these tools can continue to work to produce high quality outputs.

I think they will miss these sort of five things, right? First is around translation and judgment.

So no matter how good our agents and AI tools become, you need to give them intent and give them that intent quite precisely in order to develop something that's actually useful or what people want.

So I think there's even more focus on the brief in terms and There's also been a lot of talk about prompt engineering.

I actually think prompt engineering as a skill set is less important and it will increasingly become less important than, again, just having the judgment and that experience to know what you want and what the brief should look like in terms of you don't need as much of the understanding of how to give it to the AI, if that makes sense, because the AI You can interpret how you give it, but you still need to know what you want the AI to do, what it should look like.

So that's the first kind of category.

I think on sort of productivity, I guess it'd be great to know, what does productivity actually mean when agents can produce content at scale as well?