Skip to content
Singulariki

Foresters vs Industrial Ecologists

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Foresters and Industrial Ecologists on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”

Foresters Industrial Ecologists
Median pay · BLS OEWS
$70,660
$80,060
Employment · BLS OEWS
9,650
84,930
AI exposure (percentile) · task overlap, not automation
18th pct
60th pct

At a glance

Dimension Foresters Industrial Ecologists
Median pay $70,660 $80,060
Employment 9,650 84,930
Employment outlook (2024–34) · BLS projection About average (+1.2%) About average (+4.4%)
Annual openings · BLS projection 1,100 8,500
Typical education · O*NET Most of these occupations require a four-year bachelor's degree, but some do not. Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree).
AI exposure · published exposure studies Low · 18th pct Moderate · 60th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 54th pct · 29% of tasks 74th pct · 38% of tasks
Observed AI use · Anthropic Economic Index — Augmentation-leaning (49.1%)
Mostly remote-capable · Dingel–Neiman No Yes

Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.

Skills

Shared: Active Listening, Oral Comprehension, Reading Comprehension, Speaking, Critical Thinking, Complex Problem Solving, Written Comprehension, Oral Expression, Deductive Reasoning, Inductive Reasoning, Information Ordering, Category Flexibility, English Language, Writing, Monitoring, Judgment and Decision Making, Written Expression, Problem Sensitivity, Biology, Systems Analysis, Systems Evaluation, Near Vision, Speech Recognition, Speech Clarity, Flexibility of Closure, Mathematics, Social Perceptiveness, Originality, Active Learning.

Specific to Foresters

  • Customer and Personal Service
  • Administration and Management
  • Coordination
  • Time Management
  • Law and Government
  • Geography
  • Public Safety and Security
  • Negotiation

Specific to Industrial Ecologists

  • Engineering and Technology
  • Science
  • Mathematical Reasoning
  • Chemistry
  • Fluency of Ideas
  • Computers and Electronics
  • Physics
  • Production and Processing

Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).

Tools & technology

Shared: Geographic information system , Spreadsheet software , Office suite software , Presentation software , Data base user interface and query software , Electronic mail software , Analytical or scientific software , Enterprise resource planning ERP software .

Specific to Foresters

Specific to Industrial Ecologists

Full profiles

This page is a summary. See the complete source-backed profile for Foresters or Industrial Ecologists — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.

More comparisons

Related occupations you can place side by side on the same sourced scale.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Foresters vs Industrial Ecologists." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/foresters-vs-industrial-ecologists

APA

Singulariki. (2026). Foresters vs Industrial Ecologists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/foresters-vs-industrial-ecologists

BibTeX 
@misc{singulariki-foresters-vs-industrial-ecologists,
  title  = {Foresters vs Industrial Ecologists},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/compare/foresters-vs-industrial-ecologists}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.