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Researchers at SemiAnalysis released GDPx on November 2, a new test that puts leading AI models through long, realistic assignments in eleven high-value fields. The headline result is humbling: the top performer clears only 12% of the work.
If you are choosing AI tools for your company, that number matters. It follows the AI hype cycle conversation with real data, and it shows why a vendor’s favorite chart may say little about your daily workload.
What GDPx Actually Measures
GDPx spans eleven fields, from semiconductors, hardware and materials work to security, biology, trading, software, law and finance, plus tests of alignment and of models that improve themselves. The authors deliberately skipped sectors such as government, real estate and insurance. Their view is that early AI revenue will cluster where frontier intelligence pays off fastest.
Each task runs inside a rich simulated workplace, and the default time limit is eight hours. Scores use pass@1 across three attempts, and every domain carries equal weight. Fourteen specialist partners supplied the tasks, and SemiAnalysis says it only accepted partners whose work passed its quality checks on the first try.
Why Finance and Legal Scores Stayed at Zero
The finance example shows how demanding the test is. Models land inside a mock private equity deal in which a fund buys roughly 62% of a snack company for $880 million. Then they must dig through about 2,000 files to find the facts, much like a junior associate would.
GDPx at a glance, as reported by SemiAnalysis
Item
Reported figure
Best overall model score
12%
Finance and legal scores for nearly every model
0%
Specialized data partners
14
Default time limit per task
8 hours
For founders, the takeaway is practical. Accounting, tax and contract work often feels ripe for automation, yet this test suggests human review should stay in the loop for now. Treat AI output in those areas as a first draft that a… Read More
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