Vulnerability and risk are related but not the same. Risk refers to the general level of AI displacement occurring in your job category. Vulnerability is more specific: it is the degree to which your particular configuration of tasks, skills, and working context leaves you exposed to automation. Two accountants at different firms can have the same occupation risk score but meaningfully different vulnerability levels, depending on what each of them actually does each day.
Understanding your vulnerability rather than just your category risk gives you more actionable information. It tells you which specific parts of your role are most exposed and which are most protected, which in turn tells you where to invest your time and energy to shift your risk profile.
What the research says
92M
jobs displaced by 2030
WEF Future of Jobs 2025
170M
new roles created by 2030
WEF Future of Jobs 2025
41%
of employers plan AI-driven headcount reductions
WEF 2025
55K
job cuts explicitly attributed to AI in 2024
Challenger, Gray and Christmas
AI job vulnerability is your specific exposure to automation given the configuration of your actual role. Two workers with the same job title can have very different vulnerability levels depending on how much of their time is spent on automatable tasks, their physical presence requirements, their relational work, and their ability to use AI tools themselves.
High vulnerability is characterised by: tasks that follow predictable rules or patterns, outputs that are primarily digital and text-based, limited requirement for physical presence, low relational trust content, and work that does not require novel judgment. Data entry, basic research, standard correspondence, and template-based writing are clear examples.
Low vulnerability comes from: physical dexterity in unpredictable environments, high-stakes interpersonal relationships requiring trust and accountability, complex judgment in novel situations, creative work with strong aesthetic standards, and physical care work requiring bodily presence. Surgery, therapy, plumbing in difficult conditions, and senior leadership are examples.
The underlying task analysis applies globally, but the timeline differs by country because AI adoption rates vary. The US and UK are seeing faster enterprise adoption than most other markets. Regulatory environments also affect timelines, particularly in legal and healthcare sectors.
A high vulnerability score is information, not a verdict. It tells you to prioritise: add AI tools to your workflow now, identify the parts of your role with lowest vulnerability and expand those, and build skills in adjacent areas with better long-term trajectories. A low score is not permanent. Reassess every six months as tools improve.
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