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Balam Labs
ISCO-08 2145

Chemical engineers

88.9%
ADI · 72nd of 433 · 95% interval 69.3–100.0

An AI agent can at least partly carry out 88.9% of the task time of chemical engineers, and finish 0.0% alone. The barrier that holds most of the rest back is access to the systems the work runs on.

ADI · partial or full88.9%

72nd of 433 · interval 69.3–100.0

ADI3 · full delegation0.0%

201st of 433 · interval 0.0–0.0

ADIs · share of time52.7%

109th of 433 · interval 46.3–58.4

Evidence14

task statements rated by two models and weighted by importance and frequency. World employment: 0.4 million.

Task weight by level

How the tasks rate

11%
89%
L0No meaningful role · 0.0%L1Augmentation · 11.1%L2Partial delegation · 88.9%L3Full delegation · 0.0%
Barriers

What stops the agent

Physical presence57%
Accountability56%
Trust and care10%
Access to systems97%

Share of task weight flagged by each barrier; a task can carry several.

14 task statements, heaviest first
Task statement (O*NET occupation)WeightLevelSonnet · HaikuShareHuman timeBarriers
Monitor and analyze data from processes and experiments.Chemical Engineers12.9%L2L2L262%1.8 hAccess to systems
Troubleshoot problems with chemical manufacturing processes.Chemical Engineers11.0%L2L2L250%4.0 hPhysical presence, Accountability, Access to systems
Evaluate chemical equipment and processes to identify ways to optimize performance or to ensure compliance with safety and environmental regulations.Chemical Engineers10.3%L2L2L252%6.0 hPhysical presence, Accountability, Access to systems
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.Chemical Engineers8.3%L2L2L245%2.5 hPhysical presence, Accountability, Access to systems
Develop safety procedures to be employed by workers operating equipment or working in close proximity to ongoing chemical reactions.Chemical Engineers7.5%L2L2L262%6.0 hPhysical presence, Accountability, Trust and care, Access to systems
Conduct research to develop new and improved chemical manufacturing processes.Chemical Engineers7.5%L2L2L248%22 hPhysical presence, Access to systems
Prepare estimate of production costs and production progress reports for management.Chemical Engineers7.0%L2L2L270%4.0 hAccess to systems
Direct activities of workers who operate or are engaged in constructing and improving absorption, evaporation, or electromagnetic equipment.Chemical Engineers6.1%L1L1L232%2.5 hPhysical presence, Accountability, Trust and care, Access to systems
Design and plan layout of equipment.Chemical Engineers5.7%L2L2L250%6.0 hPhysical presence, Accountability, Access to systems
Perform laboratory studies of steps in manufacture of new products and test proposed processes in small-scale operation, such as a pilot plant.Chemical Engineers5.1%L1L1L225%22 hPhysical presence, Accountability, Access to systems
Develop computer models of chemical processes.Chemical Engineers4.9%L2L2L262%24 hAccess to systems
Determine most effective arrangement of operations such as mixing, crushing, heat transfer, distillation, and drying.Chemical Engineers4.8%L2L2L258%6.0 hAccountability, Access to systems
Develop processes to separate components of liquids or gases or generate electrical currents, using controlled chemical processes.Chemical Engineers4.8%L2L2L255%24 hPhysical presence, Accountability, Access to systems
Design measurement and control systems for chemical plants based on data collected in laboratory experiments and in pilot plant operations.Chemical Engineers4.2%L2L2L255%22 hAccountability, Access to systems

Level: consensus of the two models (the lower level when they disagree). Share: part of the task’s working time an agent could take over. Human time: minutes a competent person needs for one instance, as estimated by the models.

Against other measures

Exposure is not delegation

MeasureValuePercentile
ADI (this index)88.9%84
Eloundou et al. (2024), GPT exposure β0.46770
Felten et al. (2021), AI occupational exposure1.34196
Webb (2020), AI patent exposure10099
Eisfeldt et al. (2026), generative AI exposure0.34672
Anthropic Economic Index, observed use016

Earlier indices measure whether AI can touch a task; ADI measures how much of it an agent can carry out from a goal. – : the source does not cover this occupation.

Same sub-major group (21)

Neighbouring occupations

Dashed line: chemical engineers (88.9%).

Cite this record
Text

Espinal Maya, Cristian, and Santiago Jiménez Londoño. 2026. ADI v2026.1: Agent Delegability Index data, code and MCP server. Zenodo. https://doi.org/10.5281/zenodo.23552918. Record: Chemical engineers (ISCO-08 2145), https://balamlabs.org/adi/occupations/2145

BibTeX
@misc{espinal2026adidata,
  title     = {{ADI} v2026.1: Agent Delegability Index data, code and {MCP} server},
  author    = {Espinal Maya, Cristian and Jim{\'e}nez Londo{\~n}o, Santiago},
  year      = {2026},
  publisher = {Zenodo},
  version   = {v2026.1},
  doi       = {10.5281/zenodo.23552918},
  url       = {https://doi.org/10.5281/zenodo.23552918},
  note      = {Record: Chemical engineers (ISCO-08 2145)}
}
Machine-readable

The same record as static JSON, with its citation: /adi/v2026.1/isco/2145.json.