AI Job Risk Index AI Job Risk Index

Weekly AI Job Risk Summary

Week: March 18, 2026

This week’s AI job risk update is mostly stable, with only small relative moves across occupations as recent developments point more to deeper enterprise adoption than to sudden labor replacement. The clearest signal for jobs at risk from AI came from AI-native workflow software in lending and support functions: Fuse’s funding to modernize credit-union loan origination supports slightly higher risk for loan officers, underwriters, and adjacent clerical finance roles. ChatGPT app integrations with tools like Canva, Figma, Spotify, Uber, and Expedia also reinforce gradual automation pressure on digital coordination, content, and support tasks. At the same time, legal friction around AI training data, reported delays for ByteDance’s video generator, and safety concerns tied to chatbot harms modestly constrain the pace of replacement in some creative and advisory roles. Nvidia ecosystem momentum and agentic AI infrastructure continue to strengthen technical automation capabilities, but this week’s news does not justify broad score swings. Overall, the picture for jobs AI will replace versus AI-proof jobs remains one of incremental change, not sudden disruption.

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, Scheduler, 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 Illustrator, Lawyer, Cybersecurity Analyst. 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.

Economist, Archivist, DevOps Engineer 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

43.93

Week-over-week change

+0.06

Jobs moving up

18

Jobs moving down

6

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 Call Center Agent 81 80 +1
2 Scheduler 81 80 +1
3 Data Entry Clerk 80 80 +0
4 Telemarketer 80 80 +0
5 Retail Cashier 78 78 +0
6 Truck Driver 77 77 +0
7 Customer Support Representative 75 74 +1
8 Court Reporter 75 75 +0
9 Bookkeeper 74 74 +0
10 Office Clerk 74 74 +0
11 Proofreader 73 73 +0
12 Accounting Clerk 73 73 +0
13 Delivery Driver 73 73 +0
14 Paralegal 72 72 +0
15 Insurance Underwriter 72 71 +1
16 Civil Drafter 72 72 +0
17 Customer Support 71 70 +1
18 Copywriter 71 71 +0
19 Taxi Driver 71 71 +0
20 Translator 70 70 +0
21 Software Tester 70 69 +1
22 Travel Agent 69 68 +1
23 Administrative Assistant 69 68 +1
24 Receptionist 69 68 +1
25 Bank Teller 69 69 +0
26 Data Analyst 69 69 +0
27 Illustrator 69 70 -1
28 Content Writer 68 68 +0
29 Tax Preparer 67 67 +0
30 System Administrator 67 67 +0
31 Train Operator 67 67 +0
32 Animator 66 66 +0
33 SEO Specialist 65 64 +1
34 Social Media Manager 64 63 +1
35 Warehouse Operator 64 64 +0
36 Digital Marketer 64 63 +1
37 Legal Assistant 64 64 +0
38 Surveying Technician 64 64 +0
39 Database Administrator 63 63 +0
40 Accountant 62 62 +0
41 QA Engineer 62 62 +0
42 Compensation Analyst 62 62 +0
43 Mobile App Developer 62 62 +0
44 Procurement Specialist 61 61 +0
45 Bus Driver 61 61 +0
46 Journalist 60 60 +0
47 Logistics Coordinator 60 60 +0
48 Interpreter 60 60 +0
49 Software Engineer 60 59 +1
50 Composer 60 60 +0
51 Loan Officer 59 58 +1
52 Financial Analyst 58 58 +0
53 Radiologist 58 58 +0
54 IT Support Specialist 58 57 +1
55 Recruiter 57 57 +0
56 Stock Trader 57 57 +0
57 UI Designer 57 57 +0
58 Business Analyst 56 56 +0
59 Claims Adjuster 56 56 +0
60 Quality Assurance Specialist 56 56 +0
61 Programmer 55 54 +1
62 Insurance Agent 55 55 +0
63 Marketing Specialist 55 54 +1
64 Supply Chain Manager 55 55 +0
65 Sound Engineer 55 55 +0
66 Graphic Designer 54 54 +0
67 Editor 54 54 +0
68 Advertising Specialist 54 54 +0
69 Game Developer 54 54 +0
70 Network Engineer 54 54 +0
71 Climate Analyst 54 54 +0
72 Supply Chain Analyst 53 53 +0
73 Technical Writer 52 52 +0
74 Industrial Engineer 52 52 +0
75 Music Producer 52 52 +0
76 Laboratory Technician 52 52 +0
77 Power Plant Operator 52 52 +0
78 Web Developer 51 51 +0
79 Model 51 50 +1
80 Pharmacist 50 50 +0
81 Market Research Analyst 50 50 +0
82 Training Specialist 50 50 +0
83 Farmer 50 50 +0
84 Auditor 49 49 +0
85 Hr Specialist 48 48 +0
86 Instructional Designer 48 48 +0
87 Warehouse Manager 48 48 +0
88 Miner 48 48 +0
89 Video Editor 47 47 +0
90 Investment Analyst 47 47 +0
91 Pilot 47 47 +0
92 Marketing Manager 46 46 +0
93 Property Manager 46 46 +0
94 Management Consultant 46 46 +0
95 Meteorologist 46 46 +0
96 Research Assistant 45 45 +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 Lawyer 43 44 -1
105 Archivist 43 43 +0
106 Urban Farmer 43 43 +0
107 Water Treatment Operator 43 43 +0
108 UX Designer 42 42 +0
109 Fisherman 42 42 +0
110 Real Estate Broker 41 41 +0
111 AI Engineer 41 41 +0
112 Interior Designer 41 41 +0
113 DevOps Engineer 41 41 +0
114 Investment Banker 40 40 +0
115 Librarian 40 40 +0
116 Manufacturing Engineer 40 40 +0
117 Barista 40 40 +0
118 Veterinary Assistant 40 40 +0
119 Project Manager 39 39 +0
120 Sustainability Consultant 39 39 +0
121 Economist 38 38 +0
122 Urban Planner 38 38 +0
123 Cook 38 38 +0
124 Cloud Engineer 38 38 +0
125 Data Scientist 37 37 +0
126 Waste Management Specialist 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 Renewable Energy Technician 31 31 +0
148 Security Guard 30 30 +0
149 Robotics Engineer 30 30 +0
150 Mechanic 30 30 +0
151 Waiter 30 30 +0
152 Environmental Scientist 30 30 +0
153 Cybersecurity Analyst 29 30 -1
154 Sociologist 29 29 +0
155 Energy Engineer 29 29 +0
156 Customer Success Manager 28 28 +0
157 Historian 28 28 +0
158 Career Counselor 28 28 +0
159 Ship Engineer 28 28 +0
160 Biologist 28 28 +0
161 Anthropologist 27 27 +0
162 Photographer 26 26 +0
163 Flight Attendant 26 26 +0
164 Bartender 26 26 +0
165 Geologist 26 26 +0
166 Machine Learning Engineer 25 25 +0
167 Prosecutor 25 25 +0
168 Museum Curator 24 24 +0
169 Carpenter 24 24 +0
170 Housekeeper 24 24 +0
171 Physicist 24 24 +0
172 HVAC Technician 24 24 +0
173 Teacher 22 22 +0
174 Detective 22 22 +0
175 Film Director 22 22 +0
176 Aircraft Mechanic 22 22 +0
177 Chef 22 22 +0
178 Astronomer 22 22 +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 Psychiatrist 17 18 -1
186 Veterinarian 17 17 +0
187 School Counselor 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 Psychologist 13 14 -1
195 Electrician 12 12 +0
196 Judge 12 12 +0
197 Therapist 12 13 -1
198 Politician 12 12 +0
199 Plumber 11 11 +0
200 Military Officer 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.

Google, Accel India accelerator choses 5 startups and none are ‘AI wrappers’

TechCrunch / 2026-03-16

‘100 Video Calls Per Day’: Models Are Applying to Be the Face of AI Scams

Wired / 2026-03-16

Securing digital assets against future threats

MIT Technology Review / 2026-03-16

Nurturing agentic AI beyond the toddler stage

MIT Technology Review / 2026-03-16

How to watch Jensen Huang’s Nvidia GTC 2026 keynote — and what to expect

TechCrunch / 2026-03-16

Where OpenAI’s technology could show up in Iran

MIT Technology Review / 2026-03-16

The dictionary sues OpenAI

TechCrunch / 2026-03-16

The dictionary sues OpenAI

TechCrunch / 2026-03-16

Fuse raises $25M to disrupt aging loan origination systems used by U.S. credit unions

TechCrunch / 2026-03-16

Another deep tech chip startup becomes a unicorn: Frore hits $1.64B

TechCrunch / 2026-03-16

WIRED Article Production automation page/Only for QA/Do not click/Do not publish

Wired / 2026-03-16

Wiz investor unpacks Google’s $32B acquisition

TechCrunch / 2026-03-15

Lawyer behind AI psychosis cases warns of mass casualty risks

TechCrunch / 2026-03-15

ByteDance reportedly pauses global launch of its Seedance 2.0 video generator

TechCrunch / 2026-03-15

Lawyer behind AI psychosis cases warns of mass casualty risks

TechCrunch / 2026-03-14

‘Not built right the first time’ — Musk’s xAI is starting over again, again

TechCrunch / 2026-03-14

How to use the new ChatGPT app integrations, including DoorDash, Spotify, Uber, and others

TechCrunch / 2026-03-14

Meta reportedly considering layoffs that could affect 20% of the company

TechCrunch / 2026-03-14

US Army announces contract with Anduril worth up to $20B

TechCrunch / 2026-03-14

Nyne, founded by a father-son duo, gives AI agents the human context they’re missing

TechCrunch / 2026-03-13

Past Weeks