OBSERVED IN REAL USE · Anthropic 2026
15%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
You might want to sit down for this one.
73% 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. Deeply cooked. Almost the entire task list is something a model can already attempt.
WHAT AI CAN ALREADY DO
- Update knowledge and skills to keep up with rapid advancements in computer technology
- Write detailed functional specifications that document the hardware development process and support hardware introduction
- Store, retrieve, and manipulate data for analysis of system capabilities and requirements
- Evaluate factors such as reporting formats required, cost constraints, and need for security restrictions to determine hardware configuration
- Specify power supply requirements and configuration, drawing on system performance expectations and design specifications
WHAT IT STILL CAN’T
- Direct technicians, engineering designers or other technical support personnel as needed
- Assemble and modify existing pieces of equipment to meet special needs
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 73% 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