It's very possible that we take the 100 IQ agentic workflow that still kind of becomes almost ubiquitous within the next 12 to 18 months, and we find really cool ways to use it.

But if you just zoom out five to seven years, I think that quite a few, if not Most of the enterprise applications that we use and that exist today are going to be using inference in a pervasive way.

The cost of inference has come down quite a bit in the last few years, but it's still an order of magnitude too expensive in my opinion for it to be used as pervasively as possible.

Different tasks have different sort of reliability thresholds, but you smoothly improve and then at some point it's just reliable enough to be good.

But I also think that for existing companies who have successful customer experiences at scale, that if they think about AI as primarily just incrementally improving the experience experience, they will very likely not have the winning experiences three to five years from now.

I do think the consumer layer AI is going to be. People ask me all the time like what will get you really constructive on AI again? I said when we figure out that killer consumer application layer.

And we're going to keep on building more and more of those types of integrations to make this truly the first kind of agent native professional networking platform.

What starts as the use of AI to automate or assist the work you're doing today very quickly turns into a decision about whether this work even needs to be done, or an agent could do it better than a human.

What starts as the use of AI to automate or assist the work you're doing today very quickly turns into a decision about whether this work even needs to be done, or an agent could do it better than a human.

What starts as the use of AI to automate or assist the work you're doing today very quickly turns into a decision about whether this work even needs to be done, or an agent could do it better than a human.