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 — July 1, 2026

This week’s AI job risk update shows mostly small, relative moves rather than broad re-ranking. The biggest theme in jobs at risk from AI is stronger enterprise interest in AI agents and workflow automation, especially for office, support, analysis, and retail decision tasks. News around agentic AI ROI, expanding access to top Anthropic models for select organizations, and new enterprise data infrastructure reinforces pressure on routine digital work such as support, scheduling, reporting, and content production. Retail and supply-chain functions also saw modest upward pressure after new reporting on how AI is reshaping search, inventory, and operational decisions behind the scenes. By contrast, some physically embodied or high-trust roles look a bit more AI-proof jobs this week, because policy delays around frontier model releases and continuing reliability concerns—highlighted by flawed police prediction systems and the reminder that AI agents are not true coworkers—temper near-term replacement expectations. Overall, the latest pattern in “jobs AI will replace” remains concentrated in repetitive screen-based work, while hands-on, licensed, and relationship-heavy jobs stay comparatively less exposed.

Week: July 1, 2026

45.70 Weekly Average Risk

68 Jobs moving up

10 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

45.70

Week-over-week change

+0.28

Jobs moving up

Jobs moving down

Jobs unchanged

126

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	Scheduler	91	90	+1
2	Call Center Agent	86	85	+1
3	Customer Support Representative	85	84	+1
4	Software Tester	84	83	+1
5	Data Entry Clerk	82	81	+1
6	Copywriter	82	81	+1
7	Telemarketer	82	81	+1
8	Customer Support	81	80	+1
9	Administrative Assistant	81	80	+1
10	Office Clerk	81	80	+1
11	Content Writer	79	78	+1
12	Retail Cashier	79	78	+1
13	Bookkeeper	78	77	+1
14	Data Analyst	78	77	+1
15	Accounting Clerk	77	76	+1
16	Court Reporter	77	77	+0
17	Truck Driver	77	77	+0
18	QA Engineer	76	75	+1
19	Proofreader	76	75	+1
20	Receptionist	76	75	+1
21	Paralegal	75	74	+1
22	Social Media Manager	75	74	+1
23	SEO Specialist	75	74	+1
24	Digital Marketer	75	74	+1
25	Illustrator	75	74	+1
26	Translator	74	73	+1
27	Insurance Underwriter	73	72	+1
28	Mobile App Developer	73	72	+1
29	Animator	73	72	+1
30	Civil Drafter	73	73	+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.

This Humanoid Robot Is a Terrifyingly Competent Office Intern

Wired / June 29, 2026

Agent confidence on the technical frontier

MIT Technology Review / June 29, 2026

AI agents are not your “coworkers”

MIT Technology Review / June 29, 2026

Trump Administration Allows Anthropic to Release Mythos to Select US Organizations

Wired / June 27, 2026

Anthropic Thinks Its Own Success Is Key to Making AI Safe

Wired / June 26, 2026

How Qatar Became FIFA’s Technology Test Lab

Wired / June 26, 2026

Europe Is Fed Up and Wants Its Own AI

Wired / June 26, 2026

OpenAI Has New AI Models. Here’s Why You Can’t Use Them

Wired / June 26, 2026

British Police Built a Sprawling Crime-Prediction Machine. Some Results Couldn’t Be Trusted

Wired / June 25, 2026

World Cup Teams Are in a Race for AI Dominance

Wired / June 25, 2026

Repositioning retail for the AI era

MIT Technology Review / June 25, 2026

Why Amazon Dropped Its OpenAI Movie, Data Center Workers Fight Back, and Meta Leaks Employee Data

Wired / June 25, 2026

The emergence of the web data infrastructure layer for AI

MIT Technology Review / June 24, 2026

Qualcomm Buys Buzzy Chip Startup Modular for Nearly $4 Billion

Wired / June 24, 2026

The Trump White House Is Over Anthropic's Dario Amodei

Wired / June 24, 2026

I Met With China's Top AI Experts. They're Freaking Out, Too

Wired / June 24, 2026

A24 Knows You’re Mad About the Google AI Collab

Wired / June 24, 2026

How to Opt Out of Google Search’s New AI Data Training Feature

Wired / June 24, 2026

Past Weeks

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