Replacemeter

Can AI Replace Forestry and Conservation Science Teachers, Postsecondary in 2026?

Moderate exposure. AI could handle about 64% of today's forestry and conservation science teachers, postsecondary tasks by 2036, and there is a 35% chance the number of jobs falls by a fifth or more. AI is likely to take over many tasks outright.

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Timeline

2030
Tasks AI can do
35%
Headcount (2025 = 100)
94
Chance of 20%+ fewer jobs
14% 2030 · 35% 2036
One person could cover, 2036
1.9 roles
0%50%100%2026202820302032203420362026: 20%2027: 22%2028: 25%2029: 29%2030: 35%2031: 42%2032: 48%2033: 54%2034: 59%2035: 62%2036: 64%35%
Share of today's tasks AI can perform
40801202026202820302032203420362026: 1002027: 992028: 982029: 962030: 942031: 922032: 902033: 882034: 862035: 852036: 8594
Headcount index, 2025 = 100 (dashed line)

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Based on 25 O*NET tasks for "Forestry and Conservation Science Teachers, Postsecondary" (SOC 25-1043.00). LLM alone: 20% of tasks; with AI tools: 76%. Projections are a model, not official statistics. How we calculate this · Data version 2026-10