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 — September 23, 2026

This week’s AI job risk update is mostly stable, with only small relative changes across occupations. The biggest signals came from cybersecurity, education content, software, and surveillance-related workflows rather than broad labor replacement. News that widely available AI chatbots are accelerating vulnerability discovery raises AI job risk for some coding, QA, IT support, and cyber tasks because routine debugging, testing, and issue triage are becoming easier to automate. At the same time, reports on failures of AI-enabled border surveillance systems are a reminder that high-stakes field operations still need human judgment, reducing near-term replacement pressure for some security and investigative roles. In education, Napster’s push to digitally clone teachers supports slightly higher risk for curriculum, tutoring, and training content work, though fully replacing teachers remains less likely. Overall, the pattern for jobs AI will replace versus more AI-proof jobs remains incremental: clerical, repetitive digital, and standardized content roles stay most exposed, while licensed, physical, and trust-heavy roles remain comparatively resilient.

Week: September 23, 2026
47.00 Weekly Average Risk
21 Jobs moving up
3 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

47.00

Week-over-week change

+0.09

Jobs moving up

21

Jobs moving down

3

Jobs unchanged

180

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 97 96 +1
2 Scheduler 96 96 +0
3 Customer Support Representative 93 93 +0
4 Call Center Agent 92 92 +0
5 Customer Support 89 89 +0
6 QA Engineer 89 88 +1
7 Administrative Assistant 88 88 +0
8 Office Clerk 88 88 +0
9 Data Analyst 87 87 +0
10 Copywriter 86 86 +0
11 Telemarketer 84 84 +0
12 Data Entry Clerk 83 83 +0
13 Content Writer 83 83 +0
14 Software Engineer 83 82 +1
15 Programmer 82 81 +1
16 Mobile App Developer 82 81 +1
17 Receptionist 81 81 +0
18 Social Media Manager 80 79 +1
19 Retail Cashier 80 80 +0
20 Digital Marketer 80 79 +1
21 SEO Specialist 79 78 +1
22 Bookkeeper 78 78 +0
23 Proofreader 77 77 +0
24 Accounting Clerk 77 77 +0
25 Court Reporter 77 77 +0
26 Paralegal 76 76 +0
27 System Administrator 76 75 +1
28 Illustrator 76 76 +0
29 Truck Driver 76 76 +0
30 Insurance Underwriter 75 75 +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.

The Leftist Split Over AI Doom

Wired / September 18, 2026

Could AI really kill us all? Your questions, answered.

MIT Technology Review / September 18, 2026

Past Weeks

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