I think the real conversation isn’t about whether AI eliminates entry-level jobs, but how it reshapes the skills those jobs require. Historically, new technology doesn’t just destroy work, it transforms it: tasks get automated, but new roles and workflows emerge around managing, improving, and extending those systems. The challenge is that the transition can be disruptive if we don’t invest in training and support. Entry-level roles often exist because they’re easy to measure and standardize. AI breaks that mold by augmenting parts of those tasks, which means the definition of “entry-level work” might shift toward contextual judgment, communication, and cross-domain thinking — things that aren’t trivial to automate. Framing it as an outright end feels too binary. It’s more useful to ask: how do we help people adapt, and what new entry points are created alongside the automation?