Search results for "jobs at risk from AI" are full of confident-looking lists. Most of them are months out of date, average across millions of workers, or assume your role is the median version of its title. Your actual exposure is task-level — and that's what you can actually plan around.
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"At risk" is a vague phrase. CareerProof AI breaks it into three signals you can act on:
| Signal | What it tells you |
|---|---|
| Task exposure | Which specific tasks in your role today's AI can perform meaningfully better, faster, or cheaper. |
| Skill compounding | Which adjacent skills become more valuable as AI eats the routine tasks around them. |
| Adjacent moves | Where your experience transfers when the answer isn't "stay or leave." Same industry, different role; or same role, different industry. |
Two "marketing managers" can have almost no overlap in day-to-day work. One spends their week on copy and reporting; the other lives in cross-functional planning and brand strategy. Their AI exposure is wildly different. A generic "at-risk roles" list is averaging those two together. CareerProof AI doesn't.
That doesn't mean every job touching those tasks is "at risk" — most jobs are bundles. The question is what fraction of your week sits in those buckets, and whether your other work compounds.
These descriptions are directional, not promises. Tools and economics keep moving — which is why the right answer is a per-role read, not a per-industry list.
Enter your role (title is fine, but pasting a real description or LinkedIn snippet is better) and CareerProof AI returns: