With AI coding assistants becoming mainstream, hiring junior developers now costs more than the value they add. Companies still pay senior engineers premium rates because they can coax productivity out of these tools, while fresh graduates struggle to reach the required intuition. The job market reflects the shift: seniors find roles easily, whereas many new CS grads face a bleak outlook.

OpenAI, Anthropic and other leading AI firms continue to chase junior talent, not for coding output but for long‑term data pipelines and model fine‑tuning. The essay argues that five years of manual coding builds a ‘computing intuition’ that lets seniors prompt agents effectively; roughly half of new graduates may never acquire it. As agents improve, the skill gap widens.

The author recommends every engineer learn basic scripting to treat computers as programmable tools. A two‑month learning curve can teach how to ask an AI the right question, while six months develop the ability to verify outputs. Junior hires who reach this threshold within two to three years become the scarce pool elite firms fight for, keeping senior salaries on an upward trajectory.