Chemists and materials scientists

AI Overlap Index
45.2 / 100
Partially Exposed

Clear pressure on routine tasks. Composition of the role will shift within the decade.

SOC 19-2030 · Life Physical And Social Science

Bureau of Labor Statistics
Median pay
$86,620/yr
Hourly
$42/hr
Jobs 2024
95,500
Projected 2034
100,200
10-yr outlook
+5% · Faster than average
Employment change
4,700
Entry education
Bachelor's degree
SOC code
19-2030

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
47.4
contribution to AOI: 28.4
Automation Potential weight 10%
70.0
contribution to AOI: 7.0
Market Pressure weight 15%
30.0
contribution to AOI: 4.5
Entry Barrier Erosion weight 15%
35.0
contribution to AOI: 5.2

By seniority

multiplicative adjustment from category curve

Entry
53.3
mult 1.18x
Mid
45.2
mult 1.00x
Senior
36.2
mult 0.80x

Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.

Task-level analysis

scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance

9 tasks · model: claude-sonnet-4-5-20250929
Supporting t9

Write technical reports that detail methods and findings

AI can draft technical reports from experimental data, following standard formats for methods and results sections. Large language models can structure findings, generate appropriate technical language, and create tables/figures, though scientists typically review and refine conclusions and implications.

BLS evidence: The duties section states they 'Write technical reports that detail methods and findings.'

75
automation
Important t7

Use computers and laboratory equipment for modeling, simulation, and analysis

AI excels at molecular modeling, simulation of chemical reactions, and data analysis from laboratory instruments. Modern computational chemistry tools with AI can autonomously run simulations and analyze results, though scientists still define parameters and interpret implications for research direction.

BLS evidence: The page states 'Chemists and materials scientists use computers and other laboratory equipment for modeling, simulation, and analysis,' including three-dimensional modeling software.

72
automation
Core t2

Analyze substances to determine their composition and concentration of elements

Modern analytical instruments increasingly incorporate AI for spectral interpretation, peak identification, and compositional analysis. AI can process chromatography, mass spec, and elemental analysis data with high accuracy, though human review remains standard for novel compounds or ambiguous results.

BLS evidence: The duties section explicitly lists 'Analyze substances to determine their composition and concentration of elements' as a primary task.

68
automation
Core t3

Conduct tests on materials and substances to ensure safety and quality standards are met

AI can automate much of the data collection from testing equipment and flag deviations from standards, but physical sample handling, instrument calibration, and judgment calls on borderline results still require substantial human involvement in most laboratory settings.

BLS evidence: The duties section states they 'Conduct tests on materials and other substances to ensure that safety and quality standards are met.'

58
automation
Important t8

Present research findings to scientists, engineers, and other colleagues

AI can generate slide decks and visualizations from data, but presenting research requires real-time audience engagement, answering technical questions, defending methodology, and adapting explanations based on listener expertise—skills that remain predominantly human.

BLS evidence: The duties section explicitly lists 'Present research findings to scientists, engineers, and other colleagues.'

42
automation
Important t5

Direct technicians and other staff in chemical processing and testing procedures

Directing staff involves real-time supervision, training, safety oversight, and adaptive problem-solving in a physical laboratory. AI can provide scheduling and procedural guidance, but the interpersonal coordination and on-the-spot technical judgment remain predominantly human tasks.

BLS evidence: The duties section states they 'Direct technicians and other staff in chemical processing and testing, including for ingredients, mixing times, and operating temperatures.'

35
automation
Core t1

Plan and carry out research projects on product development and testing methods

AI can assist with literature review, experimental design suggestions, and protocol generation, but the creative hypothesis formation, resource allocation decisions, and adaptation to unexpected results require human scientific judgment that AI cannot yet replicate autonomously.

BLS evidence: The duties section states chemists and materials scientists 'Plan and carry out research projects, such as development of products and of testing methods.'

32
automation
Important t6

Collaborate with engineers and other scientists on experiments and product development

Collaboration requires iterative discussion, negotiation of experimental approaches, integration of cross-disciplinary constraints, and relationship management. AI can facilitate information sharing and suggest approaches, but the creative synthesis and interpersonal dynamics are fundamentally human.

BLS evidence: The duties section lists 'Collaborate with engineers and other scientists on experiments, product development, and production processes' and notes they 'work usually work as part of a team.'

28
automation
Important t4

Prepare solutions, compounds, and reagents used in laboratory procedures

This task requires precise physical manipulation of chemicals, weighing, mixing, and handling hazardous materials in a laboratory environment. While robotic systems exist in high-throughput settings, typical lab preparation demands manual dexterity and real-time safety judgment that current automation cannot match affordably.

BLS evidence: The duties section lists 'Prepare solutions, compounds, and reagents used in laboratory procedures' as a typical task.

22
automation

Task heatmap

automation score by task, sorted by weighted contribution

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External signals and sources

category-level priors and BLS fields that feed the four non-task signals

Automation Potential
70
karpathy 7/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
30
outlook: Faster than average
  • BLS projected outlook: Faster than average (5%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
35
ed: Bachelor's degree
  • BLS typical entry-level education: Bachelor's degree
  • Credential trend signal (annual refresh)

Related in Life Physical And Social Science

closest AOI neighbors in the same category