As coding AI absorbs platform-scale user data, entry-level software work collapses into supervision tasks that no beginner can realistically win.
The old ladder into software breaks at the bottom. Companies still need people, but mainly as reviewers, incident owners, and liability absorbers around machine-produced code. Senior engineers become a licensed accountability class, while graduates cycle through unpaid simulation platforms that promise 'AI oversight experience' without granting real authority. The shortage is no longer about talent; it is about sanctioned first responsibility.
At 11:15 p.m. in Manila, a computer science graduate sits in a shared apartment reviewing synthetic pull requests on a training platform. Each completed batch earns a badge, but none count as production experience when she applies for real jobs the next morning.
Some educators claim the collapse of rote coding work could force universities to teach systems judgment, law, and safety much earlier. But that benefit arrives unevenly, and mostly at elite institutions that can place students inside protected review pipelines.