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JOB REPORT / 17-2041 · 14 TASKS

Chemical Engineers.

Can AI do the work of Chemical Engineers?

Mostly it works alongside you. Here is what shifts, task by task.

YOUR EXPERIENCE MATTERS

How does this fit your work?

How many tasks do you use AI to assist with at work?

Drag the dot. There’s no wrong answer; it starts at our estimate.

Starting pointOur estimate

The mark shows what’s typical for this job.

The parts of your job AI can already do most of:

  • Monitor and analyze data from processes and experiments
  • Develop computer models of chemical processes
  • Prepare estimate of production costs and production progress reports…

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A guided certificate program in AI-assisted Chemical Engineers work. It covers the 14 AI-affected parts of your job and ends in a capstone a person reviews.

WHAT WE LOOKED AT

Your job, task by task.

14 of 14 tasks reviewed

We went through all 14 core tasks in this job, one at a time.

Task by task, from the work Chemical Engineers actually do. How we describe AI use in each task is our own read of it, not a measurement of whether AI can replace the job.

  1. TASK 01

    Monitor and analyze data from processes and experiments.

    AI DOES

    Scans process data continuously, detects anomalies, and surfaces trends in dashboards

    YOU DO

    Interpret results in context and decide the right response to keep processes safe and efficient

  2. TASK 02

    Develop computer models of chemical processes.

    AI DOES

    Generates code, suggests equations, debugs models, and explains simulation tools

    YOU DO

    Validate model assumptions against real process data and safety constraints

  3. TASK 03

    Prepare estimate of production costs and production progress reports for management.

    AI DOES

    Pulls cost data, runs calculations, formats tables, and drafts report sections

    YOU DO

    Verify numbers against real plant conditions and sign off on findings

  4. TASK 04

    Evaluate chemical equipment and processes to identify ways to optimize performance or to ensure compliance with safety and environmental regulations.

    AI DOES

    Scans process data, highlights inefficiencies, and pulls up relevant safety and environmental rules

    YOU DO

    Apply hands-on process knowledge and professional judgment to real safety and compliance decisions

  5. TASK 05

    Design and plan layout of equipment.

    AI DOES

    Suggests equipment arrangements, checks spacing rules, and drafts layout options

    YOU DO

    Walk the site, weigh safety tradeoffs, and sign off on final designs

  6. TASK 06

    Conduct research to develop new and improved chemical manufacturing processes.

    AI DOES

    Searches research papers, summarizes findings, suggests process variations, and runs simulations

    YOU DO

    Apply physical intuition, design safe experiments, and judge which ideas are worth pursuing

  7. TASK 07

    Determine most effective arrangement of operations such as mixing, crushing, heat transfer, distillation, and drying.

    AI DOES

    Runs simulations, suggests process sequences, and flags inefficiencies in proposed layouts

    YOU DO

    Weigh safety risks, site-specific limits, and business priorities before finalizing any design

  8. TASK 08

    Develop processes to separate components of liquids or gases or generate electrical currents, using controlled chemical processes.

    AI DOES

    Runs simulations, searches literature, and suggests process parameters or separation methods

    YOU DO

    Validate designs with physical tests and make safety-critical process decisions

  9. TASK 09

    Develop safety procedures to be employed by workers operating equipment or working in close proximity to ongoing chemical reactions.

    AI DOES

    Drafts safety procedure outlines, summarizes OSHA and chemical hazard data, and flags common risks for similar processes

    YOU DO

    Walk the actual facility, test real scenarios, and own responsibility for worker safety

  10. TASK 10

    Perform tests and monitor performance of processes throughout stages of production to determine degree of control over variables such as temperature, density, specific gravity, and pressure.

    AI DOES

    Watches live sensor streams, spots patterns, and alerts engineers to out-of-range variables

    YOU DO

    Trust your physical presence and process instincts to act safely when something goes wrong

  11. TASK 11SOURCE-BACKED TASK

    Design measurement and control systems for chemical plants based on data collected in laboratory experiments and in pilot plant operations.

    AI DOES

    Analyzes lab data and suggests control parameters

    YOU DO

    Judge safety risks and final design choices

    About this analysis

    47% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  12. TASK 12

    Perform laboratory studies of steps in manufacture of new products and test proposed processes in small-scale operation, such as a pilot plant.

    AI DOES

    Suggests experiment designs, predicts process outcomes, and helps analyze lab data

    YOU DO

    Show up, handle equipment, observe real reactions, and make safety calls in the lab

  13. TASK 13

    Direct activities of workers who operate or are engaged in constructing and improving absorption, evaporation, or electromagnetic equipment.

    AI DOES

    Helps draft work plans, schedules, and safety checklists for equipment operations

    YOU DO

    Stay on-site to read conditions, coach workers, and make real-time safety decisions

  14. TASK 14SOURCE-BACKED TASK

    Troubleshoot problems with chemical manufacturing processes.

    AI DOES

    Analyzes data patterns and suggests likely causes

    YOU DO

    Judge safety risks and choose solutions

    About this analysis

    18% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

START LEARNING AI

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Data sources and attribution

This page includes information from the O*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. rtwoai has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.

Wage and employment figures are from the U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (2025). Job outlook is from the BLS Employment Projections program, 2024–34. BLS data are in the public domain. BLS has not reviewed or endorsed this page.

Task collaboration data is from the Anthropic Economic Index, release 2025-03-27, used under the CC BY 4.0 license. Anthropic has not reviewed or endorsed this page.

How we describe AI use in each task is our own characterization, not a measurement of whether AI can replace this job. Microsoft note that their metrics "should not be misconstrued or misrepresented as measuring the ability of AI to replace jobs," and that there is more to an occupation than the sum of its tasks.