Brent Griffiths

Exactly.

And I think that's something that both the AI companies themselves and I think also the companies that are paying for these tools are really still kind of grappling with.

And that, you know, like you said, AI was supposed to make people more productive and make things more efficient.

But what you've essentially added in some cases is a kind of slower bureaucracy.

And also, you know, people still have to do what they were normally doing before as well.

And we haven't even got to the other part, which is that, you know, these AI tools are not 100% reliable, right?

And, you know, humans were not 100% reliable for either.

But, you know, for every time you have a great experience with a coding agent, there's a lot of other times where you're just constantly trying to plug in more prompts to get what you want, and you're not getting that result that you hoped for.

I think it fans out to other disciplines.

I think when you talk to software engineers, their fear is that a lot of AI companies focused on coding and programming to begin with for a couple of different reasons.

And so now they're fearful that what they're experiencing is going to be what's in store for the lawyer or for someone on Wall Street or for even a journalist like me.

As AI begins to get smarter and become more efficient and can tackle kind of more detailed issues.

Absolutely.

In fact, I talked to an engineer who said that really his weekends were consumed by just trying to stay up to date on things, whether it's just looking through the releases, whether it's looking through what some respected engineers or other in the fields were reviewing about what the coding tools could do.

That includes, you know, both reading things and also watching, you know, tutorials.

It's just a lot to take in.

I mean, for example,

You know, there was one day where both Anthropic and OpenAI had major releases within hours of each other that were both aimed at kind of the software engineering field.

I really think there is.

What's interesting is if you ask people in tech about that, they don't always feel like that's their problem.