AI Job Risk Index

Weekly Evaluation Summary

This week’s AI job risk update is mostly stable, with only small relative moves across occupations. The clearest signal for jobs at risk from AI came from stronger general-purpose models and wider enterprise deployment: DeepSeek V4’s longer-context, open-source release and ongoing adoption of copilots and agents in finance, HR, supply chains, and customer operations raise pressure on text-heavy, repetitive knowledge work. That slightly increases risk for roles such as programmers, data analysts, copywriters, translators, and some support functions. At the same time, several stories point to limits on near-term replacement: enterprises still face major data-stack bottlenecks, and advice-heavy uses like financial guidance remain error-prone, which tempers risk for accountants, financial analysts, and other high-accountability professions. AI progress in science and drug discovery supports task augmentation more than full substitution for researchers and laboratory roles. Cyber misuse stories also increase demand for human oversight in cybersecurity. Overall, the latest news reinforces familiar patterns in jobs AI will replace first—routine digital work—while many hands-on, licensed, and relationship-centered roles remain relatively more AI-proof jobs.