OBSERVED IN REAL USE · Anthropic 2026
17%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The machines are eyeing your desk.
56% 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
- Generate financial ratios, using computer programs, to evaluate customers' financial status
- Analyze credit data and financial statements to determine the degree of risk involved in extending credit or lending money
- Complete loan applications, including credit analyses and summaries of loan requests, and submit to loan committees for approval
- Prepare reports that include the degree of risk involved in extending credit or lending money
- Analyze financial data, such as income growth, quality of management, and market share to determine expected profitability of loans
WHAT IT STILL CAN’T
- Almost nothing here is clearly out of reach. That’s the warning in this one.
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 56% 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