"AI hangover" feels like the right term. They went on an AI bender, shit out a massive unmaintainable code base nobody understands (and anyone who could have was laid off or fired months ago) then suddenly SHTF and they need to hire real humans to maintain it because Claude hiked their token multiplier by a factor of 9X.

I've heard of companies hiring interns and junior devs again to do the ditch digging work that's suddenly too expensive for AI to do with token price increases.

What is AI for then? We already know it can't do the work of a senior developer...

The leaders still standing in 2030 will be the ones honest enough to put the rehiring cost in the business case before the ink dries on the layoff letter

Here's a wild idea, how about not firing people over AI if you're just going to re-hire new inexperienced people one year later because shit hit the fan with a garbage AI codebase?

Here is what makes this worse than a normal bad tech bet. Most of these decisions were not made by people who understood the limits of the technology. Visier's head of research, Andrea Derler, put the problem bluntly, noting that senior executives have not taken the time to understand what AI can and cannot do, according to PeopleMatters. IBM's CEO survey confirmed it. 64% said the fear of falling behind drives them to invest in technologies before they understand the value.@artificial_intel

The link you posted is unreachable