Anthropic survey: 91% of its staff expect AI to make a Nobel-level discovery by 2030, against 39% of US adults
The same questions put to the US public and Anthropic staff: the gap lies less in how they think AI affects jobs than in how fast they expect capabilities to move.
// Key points
- In an August 2026 survey, 91% of Anthropic staff and 39% of US adults expected AI to make a Nobel-level discovery by 2030.
- Among US adults who use AI at work, 26% say a task takes a quarter of the time or less with AI, versus 59% of Anthropic staff.
- Over half of Anthropic staff expect AI to do at least 80% of their current work by 2030, versus 5% of US workers; the averages are 75% and 28%.
- Both groups reason alike: people who expect AI to do more of their own work forecast higher unemployment, and at the same expected self-automation they forecast about the same rate.
Builder's take26% versus 59% says the same tools save more than twice as often in different hands: the gap is usage, not the model. In an AI product I'd make a quarter of the time in a new user's first week the onboarding target rather than piling on features; rolling tools out to a team works the same way, starting with one or two tasks where the time saved is obvious.
// Background · from #Anthropic
Full timeline →- Oct 19 Anthropic publishes its own employment data: by August, interactive AI agent hours outnumbered employees six to one, and junior technical hiring shrank as a share
- Oct 19 Anthropic sets up a Public Benefit Fund with 5% of its shares, subject to stockholder approval, plus 2% more for every 50% rise in value above a baseline
- Oct 19 Working in a closed loop with an evaluator, Claude Mythos 5 designs quantum circuits that beat the best published ones on qubits and gates in all eight tasks, one key step about 12x cheaper