Chemical scientists

SOC 2020 code 2111

Chemical scientists analyse and research physical aspects of chemical structure and change within substances and develop chemical techniques used in the manufacture or modification of natural substances and processed products.

Employees (UK)
15k
Median annual pay
£39,668
Exposure score ?
1.0/10 Minimal 7.4/10 High strict reading · with tools is 7.4/10 with-tools reading · strict is 1.0/10
Wage exposure
£60m £440m

Higher exposure than 53% of the 379 UK occupations we scored.

Reading the score as:
What an LLM can do unaided. LLM plus workflow tools — closer to 2026.

What this score means

Most of this role's work is still genuinely hard for AI to do. Physical presence, bodily skill, high-context judgment, direct human care - the things that don't translate to text.

If you're in this role, here's what to do now

You're not in the firing line today. But the frontier moves. Build enough AI fluency now that you can direct it for the parts of your work that could benefit. People in unexposed roles who understand AI become unusually valuable inside their organisations.

Most of the routine task inventory in this role can already be done by a capable LLM. That doesn't mean the role disappears - it means the shape changes, and one person can credibly do the work of several.

If you're in this role, here's what to do now

Stop doing anything an LLM can do. Your edge is judgment, relationships, taste, and the parts of the work that require you to be in the room. The operators who notice this first and redesign their workflow around it will be paid for those things; the ones who cling to the old task list will compete against AI at AI's prices.

Where a project with Alex usually starts for this role

This role's strict reading is low because its top tasks are judgment, not drafting. The three highest-stakes tasks below are still usually where we start — flip the toggle to 'With tools' to see what AI plus the right context can compress.

  1. Conduct research on the structures and properties of materials, such as metals, alloys, polymers, and ceramics, to obtain information that could be used to develop new products or enhance existing ones.

    O*NET importance 4.4/5 · still needs a human under the strict reading

  2. Test metals to determine conformance to specifications of mechanical strength, strength-weight ratio, ductility, magnetic and electrical properties, and resistance to abrasion, corrosion, heat, and cold.

    O*NET importance 4.3/5 · still needs a human under the strict reading

  3. Test material samples for tolerance under tension, compression, and shear to determine the cause of metal failures.

    O*NET importance 4.2/5 · still needs a human under the strict reading

These are the highest-importance tasks AI can already handle when paired with the right tools and context. In a typical engagement the first wins come from building workflows around these — usually the difference between an LLM that can technically do the job and one that actually does it inside your business.

  1. Conduct research on the structures and properties of materials, such as metals, alloys, polymers, and ceramics, to obtain information that could be used to develop new products or enhance existing ones.

    O*NET importance 4.4/5 · AI can do this with workflow tools

  2. Test material samples for tolerance under tension, compression, and shear to determine the cause of metal failures.

    O*NET importance 4.2/5 · AI can do this with workflow tools

  3. Determine ways to strengthen or combine materials or develop new materials with new or specific properties for use in a variety of products and applications.

    O*NET importance 4.2/5 · AI can do this with workflow tools

Every role has three or four wedges like these. Finding them takes an hour. Turning them into a workflow your team actually uses takes a few days. Talk to Alex about a project →

The full task breakdown

Every O*NET task for this occupation, split by what AI can already do unaided versus what still needs a human. Importance is O*NET's 1–5 rating of how central each task is to the role.

What AI can already do

2 of 16 tasks · unaided

  1. Prepare reports, manuscripts, proposals, and technical manuals for use by other scientists and requestors, such as sponsors and customers.

    importance 4.1/5

  2. Write research papers for publication in scientific journals.

    importance 3.5/5

Where humans still hold the line

14 of 16 tasks

  1. Conduct research on the structures and properties of materials, such as metals, alloys, polymers, and ceramics, to obtain information that could be used to develop new products or enhance existing ones.

    importance 4.4/5

  2. Test metals to determine conformance to specifications of mechanical strength, strength-weight ratio, ductility, magnetic and electrical properties, and resistance to abrasion, corrosion, heat, and cold.

    importance 4.3/5

  3. Test material samples for tolerance under tension, compression, and shear to determine the cause of metal failures.

    importance 4.2/5

  4. Determine ways to strengthen or combine materials or develop new materials with new or specific properties for use in a variety of products and applications.

    importance 4.2/5

  5. Plan laboratory experiments to confirm feasibility of processes and techniques used in the production of materials with special characteristics.

    importance 4.1/5

  6. Recommend materials for reliable performance in various environments.

    importance 4.0/5

  7. Supervise and monitor production processes to ensure efficient use of equipment, timely changes to specifications, and project completion within time frame and budget.

    importance 4.0/5

  8. Research methods of processing, forming, and firing materials to develop such products as ceramic dental fillings, unbreakable dinner plates, and telescope lenses.

    importance 3.8/5

  9. Perform experiments and computer modeling to study the nature, structure, and physical and chemical properties of metals and their alloys, and their responses to applied forces.

    importance 3.8/5

  10. Devise testing methods to evaluate the effects of various conditions on particular materials.

    importance 3.8/5

  11. Test individual parts and products to ensure that manufacturer and governmental quality and safety standards are met.

    importance 3.8/5

  12. Confer with customers to determine how to tailor materials to their needs.

    importance 3.7/5

  13. Teach in colleges and universities.

    importance 3.6/5

  14. Visit suppliers of materials or users of products to gather specific information.

    importance 3.5/5

What AI can already do

13 of 16 tasks · with tools

  1. Conduct research on the structures and properties of materials, such as metals, alloys, polymers, and ceramics, to obtain information that could be used to develop new products or enhance existing ones.

    importance 4.4/5

  2. Test material samples for tolerance under tension, compression, and shear to determine the cause of metal failures.

    importance 4.2/5

  3. Determine ways to strengthen or combine materials or develop new materials with new or specific properties for use in a variety of products and applications.

    importance 4.2/5

  4. Prepare reports, manuscripts, proposals, and technical manuals for use by other scientists and requestors, such as sponsors and customers.

    importance 4.1/5

  5. Plan laboratory experiments to confirm feasibility of processes and techniques used in the production of materials with special characteristics.

    importance 4.1/5

  6. Recommend materials for reliable performance in various environments.

    importance 4.0/5

  7. Supervise and monitor production processes to ensure efficient use of equipment, timely changes to specifications, and project completion within time frame and budget.

    importance 4.0/5

  8. Research methods of processing, forming, and firing materials to develop such products as ceramic dental fillings, unbreakable dinner plates, and telescope lenses.

    importance 3.8/5

  9. Perform experiments and computer modeling to study the nature, structure, and physical and chemical properties of metals and their alloys, and their responses to applied forces.

    importance 3.8/5

  10. Devise testing methods to evaluate the effects of various conditions on particular materials.

    importance 3.8/5

  11. Test individual parts and products to ensure that manufacturer and governmental quality and safety standards are met.

    importance 3.8/5

  12. Confer with customers to determine how to tailor materials to their needs.

    importance 3.7/5

  13. Write research papers for publication in scientific journals.

    importance 3.5/5

Where humans still hold the line

3 of 16 tasks

  1. Test metals to determine conformance to specifications of mechanical strength, strength-weight ratio, ductility, magnetic and electrical properties, and resistance to abrasion, corrosion, heat, and cold.

    importance 4.3/5

  2. Teach in colleges and universities.

    importance 3.6/5

  3. Visit suppliers of materials or users of products to gather specific information.

    importance 3.5/5

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Methodology

This role's exposure score comes from Eloundou et al's 2023 GPT task labels, aggregated by O*NET importance within each O*NET-SOC code, then bridged to UK SOC 2020 via ISCO-08 (ONS Vol 2 coding index) and US SOC 2010 (BLS crosswalk). Employment and median pay come from ONS ASHE Table 14.7a, 2025 provisional. ASHE covers employees only, so self-employed workers are not counted.

Methodology · Sources (PDF) · About · Built 29 April 2026

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