How fast is AI?
Menu

Jobs · Educational Instruction and Library · O*NET-SOC 25-1043.00

Forestry and Conservation Science Teachers, Postsecondary: which tasks is AI doing?

1 of its 25 tasks show measurable AI use, and 26% of that use is automation (AI doing the task) rather than augmentation (AI helping a person do it).

Teach courses in forestry and conservation science. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.

Tasks with observed AI use

1 of 25

Claude conversations mapped to this job's tasks

Automation share of that use

26%

The rest is augmentation; all usage: 49%

US employment

n/a

Not yet loaded, or not published for this occupation

US median annual wage

n/a

Wages differ by country

Which of these does AI already do for you?

Tick the tasks AI handles in your version of this job. Whatever stays unticked is what keeps a person needed: the links a chain waits on. The bars show where people already use AI for each task, from real usage data.

How to read this

Observed use is not the same as replacement. A task can see heavy AI use while the job grows, because the remaining tasks, such as judgment, accountability, and dealing with people, become more valuable. That is the weak-link pattern behind the explainer.

Task lists and wages are US data. The tasks are broadly similar in other countries; pay and employment are not. For your own economy, see work and jobs by country.

Source: This page includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. How fast is AI? has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. AI usage: Anthropic Economic Index (CC BY), 2026-05. Employment and wages: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics. · O*NET 31.0 Database · Anthropic Economic Index · BLS OEWS