Weekly AI Job Risk Summary

This week’s AI job risk update is mostly stable, with only small relative moves across occupations. The clearest signal for jobs at risk from AI came from stronger general-purpose models and wider enterprise deployment: DeepSeek V4’s longer-context, open-source release and ongoing adoption of copilots and agents in finance, HR, supply chains, and customer operations raise pressure on text-heavy, repetitive knowledge work. That slightly increases risk for roles such as programmers, data analysts, copywriters, translators, and some support functions. At the same time, several stories point to limits on near-term replacement: enterprises still face major data-stack bottlenecks, and advice-heavy uses like financial guidance remain error-prone, which tempers risk for accountants, financial analysts, and other high-accountability professions. AI progress in science and drug discovery supports task augmentation more than full substitution for researchers and laboratory roles. Cyber misuse stories also increase demand for human oversight in cybersecurity. Overall, the latest news reinforces familiar patterns in jobs AI will replace first—routine digital work—while many hands-on, licensed, and relationship-centered roles remain relatively more AI-proof jobs.

Week: April 29, 2026
44.55 Weekly Average Risk
48 Jobs moving up
5 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 Scheduler, 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 Accountant, Financial Analyst, AI 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.

Urban Planner, Urban Farmer, Investment Banker 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

44.55

Week-over-week change

+0.21

Jobs moving up

48

Jobs moving down

5

Jobs unchanged

151

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 86 85 +1
2 Call Center Agent 85 84 +1
3 Data Entry Clerk 81 81 +0
4 Customer Support Representative 81 80 +1
5 Telemarketer 81 80 +1
6 Retail Cashier 78 78 +0
7 Office Clerk 78 77 +1
8 Customer Support 77 76 +1
9 Truck Driver 77 77 +0
10 Bookkeeper 76 75 +1
11 Software Tester 75 74 +1
12 Copywriter 75 74 +1
13 Administrative Assistant 75 74 +1
14 Accounting Clerk 75 74 +1
15 Court Reporter 75 75 +0
16 Proofreader 74 73 +1
17 Receptionist 74 73 +1
18 Data Analyst 74 73 +1
19 Paralegal 73 72 +1
20 Civil Drafter 73 73 +0
21 Delivery Driver 73 73 +0
22 Translator 72 71 +1
23 Content Writer 72 71 +1
24 Insurance Underwriter 72 72 +0
25 Taxi Driver 71 71 +0
26 Travel Agent 70 70 +0
27 Bank Teller 69 69 +0
28 SEO Specialist 69 68 +1
29 Illustrator 69 68 +1
30 Social Media Manager 68 67 +1

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.

Rebuilding the data stack for AI

MIT Technology Review / 2026-04-27

The missing step between hype and profit

MIT Technology Review / 2026-04-27

Three reasons why DeepSeek’s new model V4 matters

MIT Technology Review / 2026-04-24

AI needs a strong data fabric to deliver business value

MIT Technology Review / 2026-04-22

Artificial scientists

MIT Technology Review / 2026-04-21

Resistance

MIT Technology Review / 2026-04-21

Past Weeks

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