OBSERVED IN REAL USE · Anthropic 2026
7%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Automate-adjacent. Keep the parts only you can sign off on.
59% 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. Heavily exposed. Most of the tasks are within reach of today’s AI.
WHAT AI CAN ALREADY DO
- Write proposals to secure external funding or to partner with other companies
- Prepare reports, deliver presentations, or participate in program review activities to communicate engineering results or recommendations
- Conduct research related to a range of nanotechnology topics, such as packaging, heat transfer, fluorescence detection, nanoparticle dispersion, hybrid systems, liquid systems, nanocomposites, nanofabrication, optoelectronics, or nanolithography
- Prepare nanotechnology-related invention disclosures or patent applications
- Develop catalysis or other green chemistry methods to synthesize nanomaterials, such as nanotubes, nanocrystals, nanorods, or nanowires
WHAT IT STILL CAN’T
- Synthesize, process, or characterize nanomaterials, using advanced tools or techniques
- Engineer production processes for specific nanotechnology applications, such as electroplating, nanofabrication, or epoxy
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 59% 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