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Science & Research · Updated Aug 2026

Chemists

Conduct qualitative and quantitative chemical analyses or experiments in laboratories for quality or process control or to develop new products or knowledge.

JVS 2.0.0-phase4b
AI Exposure
73/100
High

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
58/100
Moderate

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence83/100
Task coverage87%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Develop, improve, or customize products, equipment, formulas, processes, or analytical methods.High
72
Analyze organic or inorganic compounds to determine chemical or physical properties, composition, structure, relationships, or reactions, using chromatography, spectroscopy, or spectrophotometry techniques.High
72
Induce changes in composition of substances by introducing heat, light, energy, or chemical catalysts for quantitative or qualitative analysis.Medium
73
Prepare test solutions, compounds, or reagents for laboratory personnel to conduct tests.Medium
74
Compile and analyze test information to determine process or equipment operating efficiency or to diagnose malfunctions.Medium
70
Confer with scientists or engineers to conduct analyses of research projects, interpret test results, or develop nonstandard tests.Medium
73
Maintain laboratory instruments to ensure proper working order and troubleshoot malfunctions when needed.Medium
74
Direct, coordinate, or advise personnel in test procedures for analyzing components or physical properties of materials.Medium
73
Write technical papers or reports or prepare standards and specifications for processes, facilities, products, or tests.Medium
73
Evaluate laboratory safety procedures to ensure compliance with standards or to make improvements as needed.Medium
80
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Evaluate laboratory safety procedures to ensure compliance with standards or to make improvements as needed.80
  2. Prepare test solutions, compounds, or reagents for laboratory personnel to conduct tests.74
  3. Maintain laboratory instruments to ensure proper working order and troubleshoot malfunctions when needed.74
  4. Induce changes in composition of substances by introducing heat, light, energy, or chemical catalysts for quantitative or qualitative analysis.73
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Develop, improve, or customize products, equipment, formulas, processes, or analytical methods.01
  2. Analyze organic or inorganic compounds to determine chemical or physical properties, composition, structure, relationships, or reactions, using chromatography, spectroscopy, or spectrophotometry techniques.02
  3. Induce changes in composition of substances by introducing heat, light, energy, or chemical catalysts for quantitative or qualitative analysis.03
  4. Prepare test solutions, compounds, or reagents for laboratory personnel to conduct tests.04
  5. Compile and analyze test information to determine process or equipment operating efficiency or to diagnose malfunctions.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency63
Physical dependency42
Adoption pressure55
Labour-market resilience60
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence83/100
CalculatedAug 21, 2026
Read methodology →