Azeem Azhar

And if you've been reading exponential view, you'll recognize those ideas.

We've talked about the importance of developing those types of skills in the workplace as AI systems become more prevalent and more capable.

So a senior developer spent years communicating intent to their junior colleagues and sitting down and evaluating code.

You know, the senior developer would sit down next to the junior developer and say, hey, what did you work on this week?

Talk me through something you coded and why you chose the approach you did.

It turns out that those are exactly the skills that seem to matter for effective AI delegation.

What does that tell us about how productivity might show up in development teams?

Well, perhaps it's not just the number of developers who have access to Cursor or Replit or any of these other things, GitHub Copilot, but rather it's also about the quality of those developers that will drive the productivity uplifts.

So while I was researching for this, I found another great example.

Now, you know, I said I liked academic research, tends to be more robust.

I'm just going to say this piece is not from academic research.

It's from a survey of plumbers across the US.

There was a few hundred who were surveyed.

Even the plumber story is a really wonderful one.

So within this group, a large number have been using ChatGPT for running their businesses.

So for invoicing and outbound communication, but also for diagnostics.

So it's speeding their problem identification up.

And they certainly report measurable revenue gains and more time to actually do the work.

It's a small scale survey, but it's interesting nonetheless.

And I think it resonates with the way that I have used ChatGPT when I've been fixing electrical and plumbing problems around the house.