EXPOSURE TO AI
48%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
8%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
48% 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. In the blast radius. A real slice of the work is already automatable. The rest isn’t.
WHAT AI CAN ALREADY DO
- Design or implement fuel cell testing or development programs
- Write technical reports or proposals related to engineering projects
- Simulate or model fuel cell, motor, or other system information, using simulation software programs
- Design fuel cell systems, subsystems, stacks, assemblies, or components, such as electric traction motors or power electronics
- Calculate the efficiency or power output of a fuel cell system or process
WHAT IT STILL CAN’T
- Plan or conduct experiments to validate new materials, optimize startup protocols, reduce conditioning time, or examine contaminant tolerance
- Conduct fuel cell testing projects, using fuel cell test stations, analytical instruments, or electrochemical diagnostics, such as cyclic voltammetry or impedance spectroscopy
- Validate design of fuel cells, fuel cell components, or fuel cell systems
- Prepare test stations, instrumentation, or data acquisition systems for use in specific tests of fuel cell components or systems
- Develop fuel cell materials or fuel cell test equipment
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 48% 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