EXPOSURE TO AI
15%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Certified irreplaceable. For now, gloriously human.
15% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. Certified hard to automate. Today’s AI barely touches the core of this one.
WHAT AI CAN ALREADY DO
- Record operational data, such as temperatures, pressures, ingredients used, processing times, or test results
- Read plant specifications to determine products, ingredients, or prescribed modifications of plant procedures
- Estimate materials required for production and manufacturing of products
- Observe and compare colors and consistencies of products to instrument readings and to laboratory and standard test results
- Inventory supplies received and consumed
WHAT IT STILL CAN’T
- Observe safety precautions to prevent fires or explosions
- Control or operate equipment in which chemical changes or reactions take place during the processing of industrial or consumer products
- Patrol work areas to detect leaks or equipment malfunctions or to monitor operating conditions
- Draw samples of products at specified stages so that analyses can be performed
- Adjust controls to regulate temperature, pressure, feed, or flow of liquids or gases and times of prescribed reactions, according to knowledge of equipment and processes
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
"My job is 15% cooked. What’s yours?"
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,
arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY) |
how this is calculated |
last updated 2026-07-16