Broad Prosperity
Productivity gains reach median households through competition, ownership or transfers.
The scenario
The gains from AI show up in median incomes, lower costs of essentials and shorter work weeks, not only in asset prices. It happens through some mix of price competition among many providers, broad ownership of AI capital, and explicit transfers. No current policy trajectory delivers it automatically.
Preconditions
- Plural, competitive AI supply
- Distribution mechanism enacted
- Political will sustained through a displacement period
Leading indicators
- Median real income
- Cost of essentials (housing, health, energy, education)
- Distribution of AI-related capital income
Tripwires
Observable thresholds. When one crosses, the scenario's status changes and the weekly re-run is brought forward.
Playbook
- Not applicable.
- Distributional tracking.
individuals
- Own a share of what is producing the gains: broad index exposure, employee equity, cooperatives
organizations
- Profit-sharing and equity for staff are the social licence for AI adoption
governments
- Enact the mechanism before the gains concentrate; Alaska's dividend and Norway's fund are working templates
- Not applicable.
- Competition policy
- Ownership mechanisms
- Public compute and open models
Probability history
Every change is logged with its reason and the signals that drove it. Moves are bounded per week; a jump beyond the bound is flagged as a shock.
Disagree with our range? Set yours. Estimates feed a community view that appears once enough people weigh in, and the weekly run reads the gap between our number and yours.
Seed estimate. The distributional indicators currently point the other way (labor share falling, young workers displaced), so this sits well below Scientific Acceleration despite depending on it.
Built on
Every source reviewed for this scenario. The full ledger is public.
| Date | Source | Publisher | Type |
|---|---|---|---|
| 2026-09-10 | Anthropic 2030 economy model: GDP and jobs scenarios Unemployment 4.6% to ~12% across scenarios; labor share 59% → 45%; young workers in AI-exposed jobs ~19% below peers. | Economic Insider | news |