As an employer, I want AI to be fully allowed for assignments, and the assignments to be made trickier to compensate.

Let's train people to use all the tools available to solve the hardest problems, rather than solving toy problems with a slide rule.

You have to balance that with teaching the skills needed to understand the domain sufficiently to take over when the model gets things wrong.

What a ridiculous take. Just because solutions exist in the llm training data, doesn't make these problems 'toy' or 'easy'. The human 'engineering hardness' scale doesn't align with what an llm can and can't do.

As an employer, I want education to be robust from the ground up, not turn uni into an attempt to bootcamp whatever is hot today.

I don't think a 4 year postsecondary education is enough time to make a developer that can hit the ground running. Not if it's 100% of class time on CS theory. Nor if it were 4 years of vocational training and labwork that leaned heavy into AI. Nor some mix. We train on the job heavily, it's just not possible to fit everything into the sausage grinder.

So why not throw in some mandatory non-major electives? Take the time to do stuff that frustrates people who want uni to be a certificate mill. I don't care if green employees are experts at the exact narrow set of tools I use. I want them to be good at learning, and to have gotten most of the standard CS topics out of the way.