The time horizon for AI impact answers the practical question: "How long do I have before this matters for my career?" It represents the estimated period before a role will experience significant restructuring due to AI — defined as a 20%+ reduction in task volume, a meaningful wage compression, or a structural change in what practitioners are expected to deliver.
Time horizons are typically expressed in ranges because precise prediction is impossible. A 1–3 year horizon means significant impact is already beginning to materialize — workers in these roles should be actively adapting now. A 3–5 year horizon indicates a near-term window for deliberate transition. 5–10 years gives more time for organic career evolution. 10+ years typically describes roles with deep physical or social complexity.
Several factors accelerate or delay the time horizon: rate of AI capability improvement in the relevant domain, pace of enterprise adoption in the industry, regulatory barriers, cost of AI deployment versus labor costs, and the presence of union or licensing protections.
Critically, time horizons are not uniform across seniority levels within a role. Junior roles (where work is more templated and supervised) typically face shorter time horizons than senior roles (where judgment and relationships dominate). A junior content writer faces a shorter horizon than a senior brand strategist, even though both have the title "marketing."