AI Job Risk Index

Weekly Evaluation Summary

This week’s AI job risk update is mostly stable, with only small relative moves across the list. The biggest theme in jobs at risk from AI is not raw model capability alone, but uneven real-world deployment: new enterprise surveys show rapid rollout of AI agents, retrieval, orchestration, and automated evaluation, yet also major gaps in security, context quality, and production reliability. That keeps pressure high on routine digital work such as support, scheduling, clerical, QA, and content production, while slowing full replacement in higher-stakes professions where trust, compliance, and human judgment remain central. Hiring-related roles saw a slight upward adjustment after new research found LLMs can form hiring biases, reinforcing adoption of AI screening tools while also increasing oversight needs. Cybersecurity and some engineering roles edged down slightly because prompt injection, agent security incidents, and evaluation failures show AI still struggles to operate autonomously in sensitive environments. In short: the latest AI job risk signals still support the same broad pattern around jobs AI will replace, jobs at risk from AI, and comparatively AI-proof jobs.