Weekly AI Job Risk 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.

Week: July 22, 2026
46.09 Weekly Average Risk
21 Jobs moving up
6 Jobs moving down

This Week in Context

These paragraphs turn the weekly table into a readable explanation of where automation pressure broadened, narrowed, or stayed steady.

The weekly average risk moved upward, which suggests pressure broadened rather than staying isolated to only a few roles.

The clearest upward pressure appeared in Software Tester, Call Center Agent, Customer Support Representative. Moves like these often show where AI is taking on more repeatable drafting, comparison, coordination, or first-pass analytical work.

Relative pressure eased most in Software Engineer, System Administrator, Network Engineer. That does not make these roles permanently safe, but it does suggest this week's signals were less aggressive than in the roles moving upward.

DevOps Engineer, Urban Farmer, Lawyer changed little and help anchor the baseline for this week. Stable roles matter because they show where the ranking is holding its shape even while other parts of the market move.

Read these paragraphs together with the linked news and the full ranking. The point is not a one-week prediction of replacement, but a clearer view of where automation pressure is concentrating first.

How to Read This Week

This report works best when you read the summary, score movement, and linked news together. Treat it as a weekly reading of changing automation pressure, not as a one-week prediction that a profession will immediately disappear.

Weekly Average Risk

46.09

Week-over-week change

+0.08

Jobs moving up

21

Jobs moving down

6

Jobs unchanged

177

Trend

The chart shows how the overall weekly average has moved. It helps separate a broad market shift from changes limited to a smaller set of jobs.

Where Pressure Rose First

These jobs posted the strongest upward moves this week. Read them as signs of where automation pressure is tightening fastest right now.

Where Pressure Eased

These jobs moved downward this week. A lower score does not mean the role is safe forever, but it does suggest less immediate pressure relative to the prior week.

Roles That Stayed Relatively Steady

These jobs changed little this week and help anchor the broader picture. Stability often matters as much as movement when judging whether a shift is broad or narrow.

AI News Used In This Weekly Evaluation

The articles below are the main signals used in this week's evaluation. Read them as context for why pressure rose, fell, or stayed stable.

The risk of weather data sabotage is rising

MIT Technology Review / 2026-07-17

Past Weeks

Page Links