| I just can't agree with this argument at all. Today, you hire an intern and they need a lot of hand-holding, are often a net tax on the org, and they deliver a modest benefit. Tomorrow's interns will be accustomed to using AI, will need less hand-holding, will be able to leverage AI to deliver more. Their total impact will be much higher. The whole "entry level is screwed" view only works if you assume that companies want all of the drawbacks of interns and entry level employees AND there is some finite amount of work to be done, so yeah, they can get those drawbacks more cheaply from AI instead. But I just don't see it. I would much rather have one entry level employee producing the work of six because they know how to use AI. Everywhere I've worked, from 1-person startup to the biggest tech companies, has had a huge surplus of work to be done. We all talk about ruthless prioritization because of that limit. So... why exactly is the entry level screwed? |
Maybe tomorrow's interns will be "AI experts" who need less hand-holding, but the day after that will be kids who used AI throughout elementary school and high school and know nothing at all, deferring to AI on every question, and have zero ability to tell right from wrong among the AI responses.
I tutor a lot of high school students and this is my takeaway over the past few years: AI is absolutely laying waste to human capital. It's completely destroying students' ability to learn on their own. They are not getting an education anymore, they're outsourcing all their homework to the AI.