Action playbook · AI era

What to do when AI is changing your job

Not a slogan list. A sequence that reuses Job Resiliens research and live product tools — so each step has somewhere real to go.

Direct answer: Measure exposure on your actual responsibilities → protect durable / human-advantage work → close skill gaps → learn in the free Academy → build proof → choose grow or pivot. Titles rarely vanish overnight; task mixes do change — that is what JR scores.

1. Measure — don’t guess

Read the title-level picture on AI Risk by Role and how AI is changing work, then get a personal AI Exposure Score. Two people with the same title can land differently.

2. Separate exposed vs durable work

Use the task breakdown on your role page and skills gaining value because of AI. Invest time in judgment, trust, accountability, and domain expertise — the tags JR’s taxonomy already uses on researched occupations.

3. Close skill gaps deliberately

Open AI skills by profession for your cluster, then Upskill / Academy. Prefer modules tied to your gaps over generic tip lists.

4. Build proof

Apply learning on real work, skill-matched freelance projects, or student pathways. Proof beats certificates when hiring managers cannot verify course quality.

5. Choose grow or pivot

• AI growth — stay and raise leverage in-role
• Career change guides — documented pivots
• Career resilience — get ahead, pivot, rebound, or overseas
• AI career roadmap — opportunity-oriented sequence

Professionals vs students

Professionals: current role → exposure → growth/skills → resilience or pivot. Start at Professionals.

Students: degree → career options → AI impact → skills → aspiration → proof. Start at Students or AI careers for graduates.