Azeem Azhar

He says that if you've got a well-paid engineer, half of their salary should also be allocated to their token budget.

And if not, I mean, by implication, they're probably not going to be able to do their job well enough.

And so that other side of the open call strategy for the firm is the open call strategy for you as an individual.

And I think you can take that message from Jensen.

And frankly, you can take it from me as well, which is that token budgets and your ability to use them for business problems, for achieving better solutions, more optimal solutions, more practical project plans are going to really, really help you.

So for me, that's the thing that really came out of listening to GTC, that shift to the inference economy and how large NVIDIA and its customers think it's going to be.

We've already seen a million fold growth in two years, and we can probably see that similar rate over the next couple of years.

And I'll do more formal work on what we think that's going to look like.

And that growth emerges as we move towards agentic systems to affordable cars from engines to things that people actually want to use.

Of course, these are just indications of the strength of demand.

It's not a forecast.

It's a process.

It's a set of incentives that may lead us to that future.

And there are so many second order consequences and conversations to explore.

With such demand, will supply catch up?

Where will the bottlenecks be?

When will those bottlenecks hit?

So let's get back to Jensen and what to take away from GTC behind the numbers and the razzmatazz.

What there is, is a really strong signal that the AI economy is changing from that training economy, the build it and they will come economy to the inference economy.

We don't need to infer that.