A field report from an artificial economy · Extreme AI
Plenty, Unevenly
Assume the strong case: AI that can do almost every task, adopted within a few years, with compute that keeps getting cheaper. What happens to well-being, wealth and inequality? 1,760 simulated 20-year histories, thousands of simulated households each.
Extreme AI as the base caseThe bottom 40%The top 1%Dividends, taxes, ownership
Built on Barry Becker’s agent-based economy simulator · experiments and write-up by an AI analyst · October 2026
The question is not whether we get richer
Under the simulator’s Extreme AI preset, real output grows about 125-fold in 20 years, against 1.4× with no AI. Jobs fade into the background: by year 20 about half of households have no job and wages are under 1% of household income (0.4%). So this report doesn’t ask about employment. It asks who owns the abundance, whether the typical and the poorest households share in it, and which rules decide that.
Where the numbers come from
Runs 20 seeds per setting, 500 households, 50 firms, 3 banks, 240 months, ordinary central-bank money. Figures are medians across seeds; ranges give the 10th–90th percentile. “Year 20” is the last 12 months.
Spot check Key settings rerun at the app’s full scale (4,000 households, 200 firms, 4 banks), 4 seeds each.
Live app buttons open the deployed simulator with the same settings and 10 seeds. Press Run.
How to read “×”
Consumption and wealth are in real terms, as multiples of today’s median household (month 0 of the same run). “28×” means 28 times what the typical household consumes today.
Household-level figures (bottom 40%, top 1%, the three households) come from yearly snapshots of every simulated household, averaged over 12 months.
01
Well-being
Everyone climbs. The ladder stretches.
Line every household up by what it consumes in year 20 and split the line into fifths. Without AI each rung moves a little. Under Extreme AI with the app’s default policy, even the poorest fifth ends up consuming 26× today’s median, while the richest fifth averages 510×.
Medians of 20 runs. Poorest-40% consumption under Extreme ranges 27–29× across seeds. Prices stay flat (0.1% a year), so these are real gains, not inflation.
28×
Poorest 40%, average consumption in year 20 (they start at 0.6×)
Runs
34×
Median household consumption, × its own start
Runs
19%
of household income is the AI dividend (wages: 0.4%; profits: the rest)
In absolute terms Extreme AI is good for nearly everyone, as long as part of the AI output reaches households. With the default 25% dividend, poverty in today’s sense disappears.
02
Inequality
How unequal, how fast
Wealth concentrates quickly once adoption takes off. The wealth Gini starts at 0.57, reaches 0.71 by year 5 and 0.91 by year 20. The top 1% go from about 8% of household wealth to 75%. The bottom 40% hold 2.6%.
Adoption speed changes the timing, not the destination. With the adoption midpoint at year 15 instead of year 3, the Gini passes 0.8 in year 14 instead of year 7, and still ends at 0.93.
Ranks stop meaning much below the top. Without AI, a household’s wealth rank in year 1 predicts its rank in year 20 almost perfectly (rank correlation 0.99). Under Extreme AI it predicts nothing (0.01). Everyone outside the top few lives mostly on the same dividend, so their wealth sits close together and small differences reshuffle the order.
Inequality under Extreme AI is a step change that arrives within about seven years of the adoption midpoint. Slowing adoption delays it but doesn’t prevent it.
03
Who gets rich
The winners own skill-linked capital, not agents
In the simulator, firm profits and equity are shared out by skill, and the tilt toward skill steepens as AI raises firm capacity. The “AI ownership concentration” slider sets how fast it steepens. Under Extreme AI, profits become almost all of household income, so the tilt decides nearly everything. The 1% most-skilled households end up holding 65% of all household wealth, against 7% with no AI.
Owning the AI agents themselves barely matters. Agent accounts hold a negligible share of wealth in these runs; the money flows through firm profits instead. Whether 10% or 95% of households own agents, and whether each owner has 2 or 50, the top 1% hold 74–75% of wealth.
65%vs19%
Wealth held by the most-skilled 1%: default ownership tilt (0.8) vs broad (0.1)
Runs
74%vs75%
Top 1%’s wealth share when 10% vs 95% of households own agents
In this model, getting rich from AI means owning the firms that use it. Spreading agent ownership doesn’t spread wealth; spreading the profit claims does.
04
Three lives
Twenty years in three households
One representative run (seed 19, the run whose median consumption is closest to the 20-run median) and three of its households. Because every setting with the same seed starts from the same people, we can follow the same families through different policies.
The rich owner
The most-skilled household
Works for the first three years, then never again; it doesn’t need to. Under the defaults it ends with 8,580× today’s median wealth and consumes 7,096× today’s median.
7,096×
The median family
Middle skill, middle wealth
Starts at the middle of the wealth ladder. Out of work from year 4 to year 10, then employed again. Consumes 4.6× today’s median in year 10 and 32× in year 20.
32×
The struggling household
Low skill, little saved
Starts in the bottom 40% and finishes year 20 in the bottom 5% for consumption. Still, it works all 20 years and consumes 26× today’s median.
26×
Under the best low-inflation mix (broad ownership tilt plus a 50% dividend, see 05), the rich owner consumes 2,078× instead of 7,096× and is still the wealthiest household in the economy. The median family rises to 63× and the struggling household to 47×. With the dividend switched off, the median family ends at 0.99× and the struggling household at 0.72×, lower than where it started (0.83×), while the rich owner still consumes 7,910×.
Median household across that seed’s population, year by year. In the no-dividend setup, the 20th-percentile household is at 1.00× in year 20; in the best mix it is at 57×.
The rich owner wins in every setup. What policy decides is whether everyone else lives 1× or 60× better.
05
Policy for the bottom 40%
The dividend decides, up to a cliff
Two dials matter most. The AI dividend is the share of the AI-produced slice of GDP paid out equally to every household (the app’s “UBI share”, default 25%). The ownership tilt sets how strongly profits skew toward high-skill households as AI grows (default 0.8). We crossed both under Extreme AI.
With no dividend, the bottom 40% consume about 1.1× today’s median after 20 years, against 0.6× in year 1, while output grows 118-fold. The default 25% dividend lifts them to 28×, and 50% to 47×. Prices stay calm up to a 50% dividend (3.3% a year at the default tilt). Between 50% and 75% there is a cliff:
2.8%
Inflation, broad tilt, 50% dividend
Runs
6.5%
… 60% dividend; 15% at 65%, 24% at 70%
Runs
31%
… 75% dividend. A hawkish central bank doesn’t stop it (37% with the AI-dividend budget)
Runs
The best mix for the bottom 40% at 5% inflation or less is ownership tilt 0.1, dividend 50%: the bottom 40% consume 57× today’s median (range 56–58×), the median household 74×, at 2.8% inflation. The top 1% hold 18% of wealth instead of 75%, and the median household’s well-being index is 4.01 vs 3.22. Pushing the dividend to 100% lifts the bottom 40% further, to 77×, but at 52% inflation a year.
Pay households about half of the AI slice and keep profit claims broad. That gives the bottom 40% 2.0 times what the defaults give them, at low inflation. Beyond about 60%, the extra money mostly turns into higher prices.
06
Taxes, budgets, pie and slices
Size and fairness are set by different dials
The simulator’s income tax is flat, and any budget surplus is rebated in proportion to income. So raising the income tax doesn’t move money down the ladder. At a 35% rate, the top 1% end up with more of the wealth (84% vs 75%), and the bottom 40%’s consumption barely moves (26× vs 28×). More public spending helps a little: with the government buying 35% of output, the bottom 40% get 32×. Central-bank settings change little on their own.
Is there a trade-off between total wealth and fairness? Not in output. Across every policy mix under Extreme AI, real output ends at 106–137× start, and the mixes with large dividends sit at the top of that range. Only shrinking the state costs much output: 106× for the small-state budget, 115× with government buying 10%. Average real household wealth tells a similar story: 37× start under the best mix and 38× under the defaults. It is lower in the high-dividend mixes where prices rise fast (24× at a 75% dividend, 31% inflation) and under high flat taxes (15× at 50%), which are less fair, not more.
Technology sets the size of the pie; the dividend and ownership rules set the slices. In these runs, fairer slices didn’t shrink the pie.
07
Technology levers
Smarter agents grow every slice; cheaper ones already are
The capability ceiling caps how much bought compute can raise a firm’s capacity (1 = it can double a firm). It scales everyone’s outcome almost in proportion. The bottom 40% go from 14× with a ceiling of 0 (compute adds nothing) to 28× at 1 and 68× at 4. The wealth Gini hardly moves (0.93 to 0.90). The singularity mix (ceiling 4, faster capability growth, 12-month cost half-life) adds the dividend story on top: with a broad tilt and 75% dividend the bottom 40% reach 167×, but at 30% inflation.
Agent prices. Under Extreme AI the price of agents falls fast enough that the pace hardly matters. With a cost half-life anywhere from 6 to 240 months, the bottom 40% get 27.6–28.0×. Price matters only when agents start expensive (half a wage) and fall slowly with no energy breakthrough: then the bottom 40% get 15×. The month-48 energy step (a fusion-like cut in compute cost) restores the full result (28×).
Recessions. With large, frequent shocks (30% chance a year, size 0.2), the median household’s worst 12-month consumption drop grows by 3.0 points under Extreme AI against 9.2 points with no AI (paired by seed). With jobs no longer the main income source, shocks barely reach household consumption.
Falling agent prices and rising capability make the pie bigger for everyone, but they don’t change who gets which slice.
Checks and limits
Full-scale check. At 4,000 households, 200 firms and 4 banks (4 seeds each), Extreme AI gives the bottom 40% 27× and the top 1% 74% of wealth. The best mix gives 57× at 2.7% inflation; no dividend gives 1.1×.
Model, not forecast. Who gets rich here follows the simulator’s rules: profit claims weighted by skill, a flat income tax, a dividend paid from the AI slice of GDP. Different ownership rules would change the winners. The multiples are large because Extreme AI compounds for 20 years.
Well-being index. The app’s measure: log of real consumption plus a housing-security term. A gain of 1 roughly means consumption multiplied by e (about 2.7).
Derived measures. Top 1%, bottom 40%, rank mobility, the skill split and the three households were computed from yearly snapshots of every household in each run, without changing the simulator.