AI Job Risk Index AI Job Risk Index

Weekly AI Job Risk Summary

Week: April 22, 2026

This week’s AI job risk update is mostly stable, with only small relative moves across occupations. The clearest signals in jobs at risk from AI came from enterprise deployment news: Chinese tech workers reportedly being asked to train AI doubles, Google expanding AI Mode in Chrome, and new funding and office expansion from the UK sovereign AI fund and Anthropic in London. Those developments reinforce near-term pressure on digital, repeatable knowledge work such as support, writing, software, and search-dependent marketing tasks. Hardware and robotics news, including Schematik’s design tooling and broader reporting on how robots learn, nudged a few engineering and drafting roles slightly higher, but physical field work remains far more AI-proof jobs territory. At the same time, public pushback from journalists against AI drafting and continued governance constraints in government and regulated environments kept some human-trust roles from rising further. Overall, the latest pattern in jobs AI will replace remains concentrated in clerical, content, support, and standardized analytical work rather than hands-on, high-liability, or relationship-intensive occupations.

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 Call Center Agent, Customer Support Representative, Customer Support. 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 Journalist, AI Engineer, Machine Learning 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

44.34

Week-over-week change

+0.12

Jobs moving up

29

Jobs moving down

3

Jobs unchanged

172

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 85 85 +0
2 Call Center Agent 84 83 +1
3 Data Entry Clerk 81 81 +0
4 Customer Support Representative 80 79 +1
5 Telemarketer 80 80 +0
6 Retail Cashier 78 78 +0
7 Office Clerk 77 77 +0
8 Truck Driver 77 77 +0
9 Customer Support 76 75 +1
10 Bookkeeper 75 75 +0
11 Court Reporter 75 75 +0
12 Software Tester 74 73 +1
13 Copywriter 74 73 +1
14 Administrative Assistant 74 74 +0
15 Accounting Clerk 74 74 +0
16 Proofreader 73 73 +0
17 Receptionist 73 73 +0
18 Data Analyst 73 72 +1
19 Civil Drafter 73 72 +1
20 Delivery Driver 73 73 +0
21 Paralegal 72 72 +0
22 Insurance Underwriter 72 72 +0
23 Translator 71 71 +0
24 Content Writer 71 70 +1
25 Taxi Driver 71 71 +0
26 Travel Agent 70 70 +0
27 Bank Teller 69 69 +0
28 SEO Specialist 68 67 +1
29 System Administrator 68 68 +0
30 Illustrator 68 68 +0
31 Social Media Manager 67 66 +1
32 Tax Preparer 67 67 +0
33 Digital Marketer 67 66 +1
34 Train Operator 67 67 +0
35 QA Engineer 66 65 +1
36 Warehouse Operator 65 65 +0
37 Mobile App Developer 65 64 +1
38 Animator 65 65 +0
39 Legal Assistant 64 64 +0
40 Surveying Technician 64 64 +0
41 Software Engineer 63 62 +1
42 Database Administrator 63 63 +0
43 Accountant 62 62 +0
44 Compensation Analyst 62 62 +0
45 IT Support Specialist 62 61 +1
46 Financial Analyst 61 60 +1
47 Procurement Specialist 61 61 +0
48 Bus Driver 61 61 +0
49 Business Analyst 60 59 +1
50 Logistics Coordinator 60 60 +0
51 Interpreter 60 60 +0
52 Composer 60 60 +0
53 Journalist 59 60 -1
54 Recruiter 59 59 +0
55 Loan Officer 59 59 +0
56 UI Designer 59 58 +1
57 Programmer 58 57 +1
58 Marketing Specialist 58 57 +1
59 Radiologist 58 58 +0
60 Stock Trader 57 57 +0
61 Graphic Designer 56 55 +1
62 Technical Writer 56 55 +1
63 Claims Adjuster 56 56 +0
64 Quality Assurance Specialist 56 56 +0
65 Insurance Agent 55 55 +0
66 Editor 55 55 +0
67 Advertising Specialist 55 54 +1
68 Supply Chain Manager 55 55 +0
69 Sound Engineer 55 55 +0
70 Web Developer 54 53 +1
71 Game Developer 54 54 +0
72 Climate Analyst 54 54 +0
73 Supply Chain Analyst 53 53 +0
74 Industrial Engineer 53 52 +1
75 Network Engineer 53 53 +0
76 Market Research Analyst 52 51 +1
77 Music Producer 52 52 +0
78 Laboratory Technician 52 52 +0
79 Power Plant Operator 52 52 +0
80 Model 51 51 +0
81 Pharmacist 50 50 +0
82 Training Specialist 50 50 +0
83 Farmer 50 50 +0
84 Hr Specialist 49 49 +0
85 Investment Analyst 49 48 +1
86 Auditor 48 48 +0
87 Instructional Designer 48 48 +0
88 Warehouse Manager 48 48 +0
89 Miner 48 48 +0
90 Pilot 47 47 +0
91 Marketing Manager 46 46 +0
92 Video Editor 46 46 +0
93 Research Assistant 46 46 +0
94 Property Manager 46 46 +0
95 Management Consultant 46 46 +0
96 Meteorologist 46 46 +0
97 Retail Salesperson 45 45 +0
98 Human Resources Manager 45 45 +0
99 Operations Manager 45 45 +0
100 Fashion Designer 45 45 +0
101 Construction Worker 45 45 +0
102 Curriculum Developer 44 44 +0
103 Medical Assistant 44 44 +0
104 Archivist 43 43 +0
105 Urban Farmer 43 43 +0
106 Water Treatment Operator 43 43 +0
107 UX Designer 42 42 +0
108 Fisherman 42 42 +0
109 Lawyer 41 41 +0
110 Real Estate Broker 41 41 +0
111 Manufacturing Engineer 41 40 +1
112 Interior Designer 41 41 +0
113 Investment Banker 40 40 +0
114 Librarian 40 40 +0
115 Barista 40 40 +0
116 Veterinary Assistant 40 40 +0
117 Project Manager 39 39 +0
118 Sustainability Consultant 39 39 +0
119 DevOps Engineer 39 39 +0
120 Economist 38 38 +0
121 Urban Planner 38 38 +0
122 Cook 38 38 +0
123 Data Scientist 37 37 +0
124 AI Engineer 37 38 -1
125 Waste Management Specialist 37 37 +0
126 Cloud Engineer 37 37 +0
127 Architect 36 36 +0
128 Sales Representative 36 36 +0
129 Baker 36 36 +0
130 Teaching Assistant 35 35 +0
131 Actor 35 35 +0
132 Tour Guide 35 35 +0
133 Mechanical Engineer 34 34 +0
134 Brand Manager 34 34 +0
135 Electrical Engineer 34 34 +0
136 Automotive Technician 34 34 +0
137 Ship Captain 34 34 +0
138 Agricultural Scientist 34 34 +0
139 Product Manager 33 33 +0
140 Tutor 33 33 +0
141 Welder 33 33 +0
142 Chemist 33 33 +0
143 Civil Engineer 32 32 +0
144 Construction Manager 32 32 +0
145 Hotel Manager 32 32 +0
146 Real Estate Agent 31 31 +0
147 Security Guard 31 31 +0
148 Renewable Energy Technician 31 31 +0
149 Mechanic 30 30 +0
150 Waiter 30 30 +0
151 Environmental Scientist 30 30 +0
152 Sociologist 29 29 +0
153 Robotics Engineer 29 28 +1
154 Energy Engineer 29 29 +0
155 Customer Success Manager 28 28 +0
156 Historian 28 28 +0
157 Career Counselor 28 28 +0
158 Ship Engineer 28 28 +0
159 Biologist 28 28 +0
160 Anthropologist 27 27 +0
161 Photographer 26 26 +0
162 Cybersecurity Analyst 26 26 +0
163 Flight Attendant 26 26 +0
164 Bartender 26 26 +0
165 Geologist 26 26 +0
166 Prosecutor 25 25 +0
167 Museum Curator 24 24 +0
168 Carpenter 24 24 +0
169 Housekeeper 24 24 +0
170 Physicist 24 24 +0
171 HVAC Technician 24 24 +0
172 Teacher 22 22 +0
173 Machine Learning Engineer 22 23 -1
174 Detective 22 22 +0
175 Aircraft Mechanic 22 22 +0
176 Chef 22 22 +0
177 Astronomer 22 22 +0
178 Film Director 21 21 +0
179 Elevator Technician 21 21 +0
180 Social Worker 20 20 +0
181 Air Traffic Controller 20 20 +0
182 Fitness Trainer 20 20 +0
183 Professor 18 18 +0
184 Doctor 18 18 +0
185 Veterinarian 17 17 +0
186 School Counselor 16 16 +0
187 Psychiatrist 16 16 +0
188 Athletic Coach 16 16 +0
189 Nurse 15 15 +0
190 Police Officer 15 15 +0
191 Dentist 15 15 +0
192 Paramedic 14 14 +0
193 Diplomat 14 14 +0
194 Electrician 12 12 +0
195 Judge 12 12 +0
196 Psychologist 12 12 +0
197 Politician 12 12 +0
198 Plumber 11 11 +0
199 Military Officer 11 11 +0
200 Therapist 11 11 +0
201 Mayor 11 11 +0
202 Surgeon 10 10 +0
203 Firefighter 10 10 +0
204 Governor 10 10 +0

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.

Chinese tech workers are starting to train their AI doubles–and pushing back

MIT Technology Review / 2026-04-20

Tech CEOs Think AI Will Let Them Be Everywhere at Once

Wired / 2026-04-20

Prego Has a Dinner-Conversation-Recording Device, Capisce?

Wired / 2026-04-20

Schematik Is ‘Cursor for Hardware.’ Anthropic Wants In

Wired / 2026-04-18

It Takes 2 Minutes to Hack the EU’s New Age-Verification App

Wired / 2026-04-18

How robots learn: A brief, contemporary history

MIT Technology Review / 2026-04-17

AI Drafting My Stories? Over My Dead Body

Wired / 2026-04-17

Gazing Into Sam Altman’s Orb Now Proves You’re Human on Tinder

Wired / 2026-04-17

OpenAI Executive Kevin Weil Is Leaving the Company

Wired / 2026-04-17

This Beanie Is Designed to Read Your Thoughts

Wired / 2026-04-16

Why having “humans in the loop” in an AI war is an illusion

MIT Technology Review / 2026-04-16

Making AI operational in constrained public sector environments

MIT Technology Review / 2026-04-16

Treating enterprise AI as an operating layer

MIT Technology Review / 2026-04-16

Anthropic Plots Major London Expansion

Wired / 2026-04-16

Google's AI Mode Update Tries to Kill Tab Hopping in Chrome

Wired / 2026-04-16

The UK Launches Its $675 Million Sovereign AI Fund

Wired / 2026-04-16

The Battle for OpenAI’s Soul

Wired / 2026-04-16

AI Slop Is Making the Internet Fake-Happy

Wired / 2026-04-15

Allbirds Is Pivoting to AI Compute. Sure, Why Not

Wired / 2026-04-15

AI Could Democratize One of Tech's Most Valuable Resources

Wired / 2026-04-15

Past Weeks