Risk list

Jobs at risk from AI

The jobs most exposed to AI usually contain repeatable language, lookup, classification, reporting, data entry, scripted service, or routine analysis. Use this list as a starting point for deeper occupation pages.

Very High pressure

Data Entry Keyers

Routine structured entry, duplicate checks, and record transfer are highly exposed to direct automation. The strongest transition path moves workers from keystroke volume into data quality, exception handling, and workflow support.

Pressure
86
Automation
78%
Wage risk
76
High pressure

Cashiers

Transaction scanning, payment handling, price lookup, and routine customer routing are highly exposed to self-checkout, kiosks, and computer vision workflows. Service recovery, trust, store knowledge, and shift reliability remain the strongest anchors.

Pressure
78
Automation
58%
Wage risk
90
High pressure

Interpreters and Translators

Text translation, captioning, and routine localization are highly exposed to machine translation and speech systems. Live interpretation, legal/medical nuance, cultural adaptation, and quality review remain more defensible.

Pressure
76
Automation
61%
Wage risk
60
High pressure

Writers and Authors

Drafting, summarization, outlines, headlines, product copy, and content variations are highly exposed to generative AI. Original reporting, taste, editorial judgment, audience trust, and subject-matter expertise become more important.

Pressure
74
Automation
54%
Wage risk
58
High pressure

Customer Service Representatives

Scripted inquiries, routing, and knowledge-base answers are highly exposed. Complex escalation, retention, empathy, and account context remain the transition anchors.

Pressure
73
Automation
57%
Wage risk
79
High pressure

Secretaries and Administrative Assistants

Calendar management, drafting, formatting, travel planning, note summaries, and routine follow-ups are exposed to AI assistants. Executive context, prioritization, confidentiality, and process ownership remain the transition anchors.

Pressure
72
Automation
55%
Wage risk
66
High pressure

Bookkeeping, Accounting, and Auditing Clerks

Invoice matching, reconciliations, and routine reporting are exposed to automation. Judgment around controls, vendor context, audit trails, and anomaly escalation can become more valuable.

Pressure
71
Automation
59%
Wage risk
64
High pressure

Receptionists and Information Clerks

Appointment scheduling, call routing, visitor instructions, and routine intake are exposed to AI agents and workflow software. Trust, escalation judgment, local context, and office operations coordination remain defensible.

Pressure
69
Automation
51%
Wage risk
78
High pressure

Fast Food and Counter Workers

Kiosk ordering, drive-through voice systems, scheduling tools, and prep automation can reduce routine counter work. Reliability, shift leadership, food safety, and customer recovery remain more resilient.

Pressure
62
Automation
39%
Wage risk
88
High pressure

Paralegals and Legal Assistants

Document review, drafting, and research are exposed to AI assistance, while case context, client communication, attorney supervision, and jurisdiction-specific process remain important anchors.

Pressure
61
Automation
48%
Wage risk
45
Moderate pressure

Loan Officers

Application intake, document review, credit summaries, and routine eligibility checks are exposed to automated underwriting. Relationship management, exception judgment, compliance, and borrower trust remain important.

Pressure
60
Automation
46%
Wage risk
42
Moderate pressure

Retail Salespersons

Product questions, checkout, inventory lookup, and scripted service can be augmented or automated. In-person trust, merchandising judgment, local customer knowledge, and service recovery remain important anchors.

Pressure
58
Automation
34%
Wage risk
82
Moderate pressure

Graphic Designers

Asset variation, layout drafts, and production design are exposed, while brand judgment, creative direction, client interpretation, and systems thinking become more important.

Pressure
55
Automation
42%
Wage risk
48
Moderate pressure

Stockers and Order Fillers

Picking routes, inventory lookup, replenishment priorities, and warehouse slotting are increasingly shaped by software and robotics. Physical execution, exception handling, safety, and equipment operation remain important.

Pressure
54
Automation
36%
Wage risk
74
Moderate pressure

Market Research Analysts

Summarization, draft segmentation, and desk research are exposed, but domain judgment, study design, stakeholder context, and synthesis make this a strong augmentation case.

Pressure
45
Automation
37%
Wage risk
38
Moderate pressure

Human Resources Specialists

Resume screening, policy answers, and first-draft communications can be automated or augmented, but employee relations, hiring judgment, trust, and process design keep the role human-centered.

Pressure
44
Automation
35%
Wage risk
36
Low pressure

Software Developers

Code generation changes the junior task bundle, but architecture, debugging, security, product judgment, and system ownership keep the role augmentation-heavy.

Pressure
39
Automation
29%
Wage risk
24
Moderate pressure

Sales Representatives, Wholesale and Manufacturing

Lead research, outreach drafts, and CRM updates are augmentable, but territory knowledge, negotiation, trust, and account strategy remain central.

Pressure
38
Automation
28%
Wage risk
39
Low pressure

Project Management Specialists

Status reporting, meeting summaries, dependency tracking, and draft plans are strong augmentation cases. Human negotiation, sequencing, tradeoff calls, and stakeholder trust remain the core value.

Pressure
37
Automation
22%
Wage risk
30
Low pressure

Medical Assistants

Scheduling, chart preparation, and patient messaging can be augmented. Hands-on care, rooming patients, vital signs, specimen handling, and local clinical protocols keep the role comparatively resilient.

Pressure
34
Automation
18%
Wage risk
50
Moderate pressure

Machinists

Physical production limits pure software substitution, while setup optimization, maintenance planning, and quality analytics can augment skilled operators.

Pressure
31
Automation
22%
Wage risk
52
Low pressure

Information Security Analysts

Alert triage, report drafting, detection tuning, and policy review can be accelerated by AI. Accountability, incident command, adversarial reasoning, and environment-specific context keep the role resilient.

Pressure
28
Automation
24%
Wage risk
20
Low pressure

Registered Nurses

Documentation and administrative follow-up can change quickly, but hands-on care, clinical judgment, licensing, and patient trust constrain direct replacement.

Pressure
18
Automation
13%
Wage risk
28
Low pressure

Elementary School Teachers

Lesson prep, differentiated materials, and feedback loops are augmentable. Classroom management, care, student relationships, and local accountability remain central.

Pressure
16
Automation
10%
Wage risk
44
Low pressure

Electricians

Hands-on installation, safety, code compliance, and field troubleshooting make direct AI replacement unlikely, while estimating, diagnostics, and documentation can improve with tools.

Pressure
12
Automation
7%
Wage risk
22