Archive: discontinued method

These weekly summaries were produced from 2026-03 to 2026-10 by a weekly AI-generated scoring that this site no longer uses. Their scores are not comparable with the current figures, which come from public datasets. Why the method changed

Weekly AI Job Risk Summary — October 7, 2026

This week’s AI job risk update stays mostly stable, with small relative shifts rather than broad re-ranking. The biggest signal in labor market AI news is stronger enterprise deployment: AI agents are being connected to enterprise knowledge and paired with predictive analytics and autonomous decision-making, which raises exposure for structured desk jobs with repeatable workflows. That slightly increases risk for roles tied to scheduling, support, analysis, recruiting, and routine coordination—the kinds of jobs people often discuss in “jobs AI will replace” and “jobs at risk from AI” searches. At the same time, several reports highlighted real limits: nurses reported scheduling errors, security flaws hit AI software, and critics argued LLMs still do not truly reason. Those developments support small downticks for high-stakes, trust-heavy, and physically grounded occupations that look more AI-proof jobs for now. Overall, the weekly AI job risk picture suggests faster automation of administrative and digital knowledge tasks, but slower replacement in safety-critical, human-care, judgment-intensive, and hands-on work.

Week: October 7, 2026
47.19 Weekly Average Risk
34 Jobs moving up
6 Jobs moving down

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

47.19

Week-over-week change

+0.14

Jobs moving up

34

Jobs moving down

6

Jobs unchanged

164

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.

This Week Ranking

Use the full ranking as a current snapshot of relative pressure across jobs. The score alone matters less than the combination of score, week-over-week change, and the task mix behind the role.

Rank Job Risk Score Last Week Change
1 Software Tester 98 97 +1
2 Scheduler 98 97 +1
3 Customer Support Representative 95 94 +1
4 Call Center Agent 94 93 +1
5 Customer Support 91 90 +1
6 QA Engineer 90 89 +1
7 Administrative Assistant 90 89 +1
8 Office Clerk 90 89 +1
9 Data Analyst 88 87 +1
10 Copywriter 86 86 +0
11 Telemarketer 85 85 +0
12 Software Engineer 85 84 +1
13 Programmer 84 83 +1
14 Data Entry Clerk 83 83 +0
15 Content Writer 83 83 +0
16 Receptionist 83 82 +1
17 Mobile App Developer 82 82 +0
18 Social Media Manager 80 80 +0
19 Retail Cashier 80 80 +0
20 Digital Marketer 80 80 +0
21 Bookkeeper 79 78 +1
22 SEO Specialist 79 79 +0
23 Accounting Clerk 78 77 +1
24 Paralegal 77 76 +1
25 Proofreader 77 77 +0
26 Court Reporter 77 77 +0
27 Insurance Underwriter 76 75 +1
28 System Administrator 76 75 +1
29 Illustrator 76 76 +0
30 Truck Driver 76 76 +0

Exposure runs from 0 to 100 and compares occupations with each other, using public datasets (see sources). It is not a probability that the job disappears. Methodology

This Week Ranking →

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.

EmTech Future 2026: When AI Meets Everything

MIT Technology Review / October 5, 2026

People really hate AI, so why can’t they get enough?

MIT Technology Review / October 5, 2026

Bringing predictive analytics to the agentic AI era 

MIT Technology Review / October 5, 2026

Connecting AI agents to enterprise knowledge

MIT Technology Review / October 5, 2026

Don’t be fooled—LLMs don’t reason

MIT Technology Review / October 2, 2026

Redefining enterprise intelligence with autonomous AI

MIT Technology Review / October 2, 2026

Whatever AI Safety Is, It’s Not This

Wired / October 1, 2026

Past Weeks

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