Joel Pearson

And so I think the awareness is starting to dawn on the management of universities, but they can't keep up with the pace that AI is changing.

Like they just can't, right?

And, you know, last month, whenever it was, there was a –

an op-ed in one of the major newspapers saying that we should, universities should go back to all on campus, all invigilated, which just means like in the room, in the old exam hall, pen and paper, no digital.

And I think that's a huge mistake because trying to cut AI out of the university education is the wrong solution.

That's a band-aid solution at best.

Like it's the idea, it's going backwards in time.

It's like a time machine answer.

It's just the wrong solution.

Right now, yes, I think we are graduating students who are not ready.

They're still doing degrees where the amount of AI they can use is limited, whereas they're going into a job where they're expected to use AI a lot.

There's a mismatch there.

So the universities need to catch up.

But that's a big task.

That means rejigging all the courses, the degrees, the way education's done.

Then there's a whole big debate about AI cheating and the fact that for a lot of students, they're thinking of a degree as a piece of paper.

So as long as they do well, it doesn't matter how they get there.

It's just the outcome, which means you can imagine students getting their degree and then not actually being prepared.

An engineer that may not be able to build a safe bridge because they've used AI all the way through.

But I think that the fact that students are thinking that way already now is kind of a red flag.