AI exposure: Chemical Engineers
Design chemical plant equipment and devise processes for manufacturing chemicals and products, such as gasoline, synthetic rubber, plastics, detergents, cement, paper, and pulp, by applying principles and technology of chemistry, physics, and engineering.
Reading this score
computed36.8% of this occupation's weighted task load is exposed, which puts Chemical Engineers at the 64th percentile of 923 occupations. The capability is largely there. Its average task scores 2.6 out of 4 on what a current system can produce, and the frictions that hold other jobs in place are comparatively weak here.
What holds the line here is context. Across this occupation's 14 tasks it averages 2.14 out of 3, the highest of the five friction dimensions. In plain terms, the work depends on knowledge the model cannot hold. Much of this job runs on things that were never written down: what this particular organisation does, what happened last week, what the person across the table actually meant. That context is the barrier, and it erodes as systems are given more access.
The most exposed thing this job does is Prepare estimate of production costs and production progress reports for management, at 61.3%. The least is Direct activities of workers who operate or are engaged in constructing and improving..., at 20.0%. A gap of 41.2% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within architecture and engineering occupations, this one is less exposed than the median of 37.5% across the group's 56 roles, with 31 scoring higher. Being in an exposed family does not make a particular job exposed, and the reverse holds too.
What would move this score. Of 14 tasks, 10 are currently banded exposed, 4 assisted and 0 untouched. For that distribution to shift materially would take cheaper ways to verify output, since the cost of checking is currently doing more to hold this work in place than the cost of producing it. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Task by task
14 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Prepare estimate of production costs and production progress reports for management. | 61.3% | 26.2% | 12.5% | 3.71 | exposed |
| Evaluate chemical equipment and processes to identify ways to optimize performance or to ensure compliance with safety and environmental regulations. | 50.0% | 25.0% | 25.0% | 4.17 | exposed |
| Determine most effective arrangement of operations such as mixing, crushing, heat transfer, distillation, and drying. | 45.0% | 30.0% | 25.0% | 3.39 | exposed |
| Develop processes to separate components of liquids or gases or generate electrical currents, using controlled chemical processes. | 45.0% | 30.0% | 25.0% | 3.35 | exposed |
| Develop safety procedures to be employed by workers operating equipment or working in close proximity to ongoing chemical reactions. | 40.0% | 35.0% | 25.0% | 4.43 | exposed |
| Troubleshoot problems with chemical manufacturing processes. | 40.0% | 35.0% | 25.0% | 4.26 | exposed |
| Develop computer models of chemical processes. | 37.5% | 25.0% | 37.5% | 3.09 | exposed |
| 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. | 33.3% | 29.2% | 37.5% | 3.60 | exposed |
| Perform laboratory studies of steps in manufacture of new products and test proposed processes in small-scale operation, such as a pilot plant. | 31.2% | 31.2% | 37.5% | 3.28 | assisted |
| Monitor and analyze data from processes and experiments. | 26.7% | 23.3% | 50.0% | 4.24 | exposed |
| Conduct research to develop new and improved chemical manufacturing processes. | 26.7% | 23.3% | 50.0% | 3.58 | exposed |
| Design and plan layout of equipment. | 23.3% | 26.7% | 50.0% | 3.77 | assisted |
| Design measurement and control systems for chemical plants based on data collected in laboratory experiments and in pilot plant operations. | 23.3% | 26.7% | 50.0% | 3.28 | assisted |
| Direct activities of workers who operate or are engaged in constructing and improving absorption, evaporation, or electromagnetic equipment. | 20.0% | 30.0% | 50.0% | 3.06 | assisted |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 2.57 | 0-4 |
| Embodiment | 1.00 | 0-3 |
| Presence | 0.29 | 0-3 |
| Accountability | 1.29 | 0-3 |
| Context | 2.14 | 0-3 |
| Verification cost | 2.07 | 0-3 |
What this means in practice
Where most of a role's weighted task load is exposed, the work that survives is usually the part of the job nobody wrote into the job description: deciding what should be produced rather than producing it, and being answerable for the result. The tasks lowest on this page are a better guide to where to spend your time than any general advice about the future of work.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.