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near dystopian B 4.31

The Missing First Job

As coding AI absorbs platform-scale user data, entry-level software work collapses into supervision tasks that no beginner can realistically win.

Turning Point: In 2029, the largest enterprise software buyers revise procurement rules to require named humans who will legally sign off on AI-generated code, but they refuse to pay for extended junior training teams.

Why It Starts

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.

How It Branches

  1. Code assistants become good enough at routine implementation that firms stop assigning small starter tasks to new hires.
  2. Regulators and insurers push companies to identify accountable reviewers for every production change touching sensitive systems.
  3. Employers recruit fewer juniors and demand prior audit experience, creating a closed loop in which beginners cannot obtain the exact experience required to enter.

What People Feel

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.

The Other Side

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.