AI hiring is accelerating, and the data scientist role is splitting into two tracks
mdancho84 · x · 2026-09-15
The author argues AI isn't killing white-collar jobs but rewriting old job descriptions: hiring for AI-adjacent technical roles (software developers, engineers, cybersecurity, math + data) is accelerating into 2026.
Using data science as the example, he says the traditional data scientist role is splitting into two tracks:
- AI-powered data scientist: statistics, ML, experimentation, domain knowledge and business judgment remain core, while Claude + ChatGPT now handle much of the mechanical work — writing Python/SQL, EDA, feature engineering, model development, debugging, documentation. The valuable skill becomes knowing what to build, what results mean, and what decision to make.
- AI systems builder: the author's bet on where the bigger opportunity lies (post truncated at this point).
Core claim: demand for technical talent isn't disappearing — the work itself is changing.
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