JobRiskAI

Chemical Technicians

SOC 19-4031Life, Physical & Social ScienceData vintage 2026-07
Moderate exposure AI applicability score 0.140, higher than 48% of the 785 occupations measured · #39 most exposed of 47 in Life, Physical & Social Science

AI touches this job. It does not define it.

AI meaningfully touches parts of this work, yet the majority of its activities remain outside observed AI usage. That's balanced exposure: real efficiency gains are available without wholesale overlap.

Where this occupation sits among all 785 measured. Bands are quintiles of the real distribution. Applicability measures task overlap with observed AI usage. It is not a probability of job loss.

What this job involves

Conduct chemical and physical laboratory tests to assist scientists in making qualitative and quantitative analyses of solids, liquids, and gaseous materials for research and development of new products or processes, quality control, maintenance of environmental standards, and other work involving experimental, theoretical, or practical application of chemistry and related sciences.

Where AI overlaps this work, activity by activity

The occupation's most important work activities (O*NET weights, normalized to this set), each with its measured AI performance across 200,000 real conversations: how often AI is used for it, how well it completes it, and how much of the activity it covers.

Work activityShare of roleAI performance
Analyze biological or chemical substances or related data.17.2%Emerging 0.39
Clean workpieces, finished products, or other objects.10.0%Not observed 0.00
Maintain electronic, computer, or other technical equipment.10.0%High overlap 0.62
Analyze data to improve operations.8.4%Not observed 0.00
Evaluate production inputs or outputs.8.4%Not observed 0.00
Serve on organizational committees.8.4%Not observed 0.00
Prepare specimens or materials for testing.8.2%Not observed 0.00
Set up equipment.7.3%High overlap 0.75
Present research or technical information.6.0%High overlap 0.75
Train others on operational or work procedures.6.0%Not observed 0.00
Direct scientific or technical activities.5.5%Not observed 0.00
Develop operational or technical procedures or standards.4.7%High overlap 0.68

"Not observed" is a measurement, not missing data: that activity does not meaningfully appear in the usage sample. AI performance = completion × scope × coverage (user-goal view), 0–1.

What drives this score: the biggest AI-overlapped activity in this role is maintain electronic, computer, or other technical equipment; the most important activity AI is not observed doing is clean workpieces, finished products, or other objects. The plan below is built around exactly that split.

Balanced exposure: take the gains, deepen the moat.

Next 30 days

  • Harvest the easy wins. Parts of this role, led by Maintain electronic, computer, or other technical equipment, are already AI-assistable. Claim those hours back this month.
  • Map your own mix. Your split may differ from the occupation average. Run the six-question personalization above and read your range, not the headline.

Next 90 days

  • Invest saved time in the human core. The majority of this occupation's activities show no observed AI usage. Deepen exactly those, starting with Clean workpieces, finished products, or other objects.
  • Stay current, lightly. A monthly hour trying new tools on your real tasks beats panic-learning later.

The longer game

  • Own a niche. Moderate exposure means AI will not define this occupation, but specialists who pair domain depth with tool fluency will out-earn generalists in it.
  • Watch the boundary activities. If the 'Emerging' rows in your table above turn 'High' in a future data update, revisit the plan. No countdown clocks, just recheck.

Compare this occupation with another

Sources for this page:
  • AI applicability score and per-activity metrics: Tomlinson, Jaffe, Wang, Counts & Suri, Working with AI: Measuring the Applicability of Generative AI to Occupations, Microsoft Research 2025 (arXiv:2507.07935), data CC BY 4.0.
  • Occupation description and activity structure: O*NET 30.0 Database, USDOL/ETA, CC BY 4.0.
  • Bands, personalization weights and action plans are JobRiskAI editorial layers; method and limitations on the methodology page.