Artificial intelligence impacts daily tasks rather than job titles, necessitating an assessment of individual AI exposure. Understanding and mitigating this exposure involves evaluating one's actual work, not just their role description. The author outlines five steps to measure this exposure, starting with listing all tasks performed weekly. This detailed task list should include hours spent, frequency, and who reviews the outcome, also accounting for undocumented work.Next, each task is scored based on how easily its outcome can be specified and checked, indicating AI vulnerability. Tasks that are quick to specify and check are most exposed, regardless of seniority. Career stage is crucial, as entry-level positions are often more specified and thus more susceptible to AI. Experienced workers are typically protected by judgment and context that AI struggles to replicate.Deepening domain expertise is vital, as understanding the problem space is more valuable than just knowing AI tools. Companies need individuals who can apply knowledge contextually and bridge communication gaps. The final step involves rebuilding one's portfolio to showcase decision-making processes rather than just polished outputs. This is because AI excels at execution, but human judgment in selecting problems and understanding the user's world remains paramount.