A field report from an artificial economy

When the Machines Clock In

AI, ever-cheaper agents, and households free to pick dollars or bitcoin. We ran Barry Becker’s economy simulator 1,910 times. Six answers.

AI: None → Extreme Fiat Bitcoin Hybrid: people choose

A laboratory for the automation question

Barry Becker, author of the novel Into the Singularity, built an agent-based economy: thousands of simulated households, hundreds of firms, banks and a government, running month by month. AI raises firms’ capacity and replaces some jobs; households can own AI agents that sell compute to firms, at a real cost that keeps falling. In the hybrid regime, goods are priced in dollars while bitcoin follows a fixed BTC/USD path, and three sliders decide which money people want: bitcoin trust, fiat legal-tender pull and money choice speed.

Where the numbers come from

  • Runs 20 seeds per setting (a few hybrid cells have fewer), 500 households, 50 firms, 3 banks, 240 months (20 years). Figures are medians; ranges in brackets are lowest–highest across seeds. “Year 20” means the average of the last 12 months.
  • Live app buttons open the deployed app with the same settings. Press Run.

The hybrid sliders

  • Bitcoin trust (0–2, default 0.4): bitcoin’s score, plus its real return.
  • Fiat legal-tender pull (0–2, default 1.5): fiat’s score from taxes and courts.
  • Money choice speed (0–1, default 0 = off): how fast holdings move toward the preferred mix. Our hybrid baseline uses 0.05.
The app’s BTC/USD path, $ (log)$100k$200k$500k$1M$2M$5M$10M$20M$50M05101520years

The bitcoin price is not set by our households: the app takes it from a supply-shock path, from $85,000 today to $4.3M in year 7 and $31.8M in year 20.

01
Case one · The baseline

AI off vs on: richer, with half the jobs

Same seeds, fiat money, five AI levels. With no AI, output reaches 1.4× its starting level in 20 years. At Modest (the app default) it reaches 3.5×, at Substantial 6.2×, at High 21× and at Extreme 125×. Jobs go the other way: year-20 unemployment rises from 4.6% to 47% at Substantial.

The typical household. With no AI it consumes 1.24× what it did at the start, almost all paid for by wages (76% of household income). At Substantial it consumes 3.5× as much, but wages are only 9% of income; the rest is profit and UBI.
4.6%→47%
Unemployment in year 20, no AI vs Substantial
Runs
0.57→0.91
Wealth Gini, no AI vs Extreme
Runs
Real output, × starting level (log scale)1.02.05.010205010005101520yearsNo AIModest (default)SubstantialHighExtreme
Unemployment, % (12-month average)020406005101520years
Takeaway

AI makes this economy far richer and job-poor. Income shifts from pay to dividends.

02
Case two · The agent economy

Agents get cheaper. How much does it matter?

An AI agent’s real cost halves every two years by default, and the Substantial preset adds an energy breakthrough in year 8. Barry’s view is that agent prices should fall dramatically as agents become more capable and new power sources such as fusion arrive. We compared four paths under Substantial AI. Without agents, output reaches 3.1×. With agents whose cost barely falls (half-life 20 years), 5.96×. On the baseline path, 6.24×. With a one-year half-life and a 90% fusion cut in year 3, 6.22×.

A firm’s view. Each month the firm rents compute from a household’s agent. As the price falls it buys more, but bought compute can at most double a firm’s capacity. Near that ceiling, cheaper compute mostly just costs less.
3.1×→6.2×
Output, no agents vs agents on the baseline cost path (20 of 20 paired seeds higher)
Runs
3.32×vs3.51×
Typical consumption, slowly vs steadily falling agent cost (20 of 20 seeds higher)
Runs
Real output in year 20, × start0×2×4×6×No agentsSlow decline(half-life 20 yrs)Baseline(half-life 2 yrs)Cheap + fusion(1 yr, −90% yr 3)
Typical household consumption, × start0×1×2×3×4×No agentsSlow decline(half-life 20 yrs)Baseline(half-life 2 yrs)Cheap + fusion(1 yr, −90% yr 3)
Takeaway

Falling agent prices matter, but the capability ceiling, not cost, sets the limit once agents are cheap.

03
Case three · Distribution

A bigger UBI, or broader ownership?

With Substantial AI we turned two dials. Dropping UBI cuts typical consumption from 3.51× to 2.97×. Tripling it to 75% of AI-driven GDP lifts it to 4.57×, but inflation rises from 0.5% to 3.2% a year. Spreading AI profits broadly (ownership concentration 0.1 instead of 0.8) reaches 4.77×, with inflation at 0.7%.

4.57×vs4.77×
Typical consumption, 75% UBI vs broad ownership
Runs
0.66→0.54
Wealth Gini, default vs broad ownership
Runs
Typical consumption, year 20 (× start)0×2×4×No UBIUBI 25%(default)UBI 75%Broadownership
Poorest fifth’s share of wealth, %0%1%2%3%4%No UBIUBI 25%(default)UBI 75%Broadownership
Takeaway

In an AI economy, who owns the machines matters as much as the size of the cheque.

04
Case four · Hybrid money

Does cheap AI push people toward bitcoin?

With choice on (speed 0.05) and default trust, bitcoin ends year 20 at 16% of money with no AI, 15% with Substantial AI, 15% with cheap agents and 11% at Extreme. So AI nudges the mix slightly toward fiat, and cheap agents change nothing. Trust is what moves it: from 10% at trust 0 to 53% at trust 2. At this speed every trust level peaks in year 7 (81% at trust 2), when the BTC/USD path first spikes.

The tipping point. Pay currency is chosen economy-wide: when bitcoin’s score beats fiat’s, every household and firm switches to bitcoin pay together. Firms pay their agent-compute bills from their dollar account, so after the switch agent sales almost stop and output follows the no-agent path: 6.3× at trust 1.2, 3.1× at trust 1.6 (no agents: 3.1×). Setting legal-tender pull to 0 has the same effect (3.1×).

Bitcoin share of money, year 20 (%)0%20%40%60%00.40.81.21.62.0Bitcoin trust (fiat legal-tender pull fixed at 1.5)No AISubstantialCheap + fusionExtreme
Real output in year 20, × start0×2.0×4.0×6.0×00.40.81.21.62.0Bitcoin trustSubstantialCheap + fusion
Takeaway

AI doesn’t make bitcoin more popular here. What matters is which side of the trust-versus-legal-tender line the economy sits on.

05
Case five · Prices

Does legal-tender pull damp deflation?

On a pure bitcoin standard with Substantial AI, prices fall 10.0% a year and end at 8% of their starting level; debt deflation brings 13 bank failures in the median run (11–18). That is a limit of the bitcoin mechanism in this model, not of the hybrid. The hybrid never gets there, because goods stay priced in dollars and fiat policy keeps running. Its average inflation is 2.3%, against 0.5% under pure fiat.

Lowering legal-tender pull doesn’t bring deflation either: it does the opposite. With no AI, inflation rises from 3.9% at pull 2 to 8.3% at pull 0. A likely reason: bitcoin rides a rising BTC/USD path, so a bigger bitcoin share means richer holders with more dollars to spend. Bitcoin-heavy settings bring a few bank failures (median 5 at trust 2 and pull 0, no AI).

Price level, × start (log), Substantial AI0.100.200.501.02.005101520yearsFiatHybrid, choice onBitcoin standard
Hybrid: average inflation, % a year0%2.0%4.0%6.0%8.0%00.51.01.52.0Fiat legal-tender pull (bitcoin trust 0.4)No AISubstantial
Takeaway

In the hybrid, the danger is inflation from a bitcoin windfall, not deflation. Legal-tender pull acts as a brake on it.

06
Case six · Who gains

Choice speed during an AI boom

With choice off, holdings never move, so bitcoin’s share grows with its price to 52% under Substantial AI. At speed 0.01, people follow slowly and it ends at 39%. At 0.05 or faster, the mix holds near 15%. Under Substantial AI, the poorest fifth holds 1.8% of wealth with choice off, 1.8% at 0.01 and 2.6% at 0.05 (20 of 20 paired seeds higher). The wealth Gini falls from 0.70 at 0.01 to 0.65 at speed 1. Output and typical consumption barely change.

Two neighbours. One holds a little bitcoin from the start; the other has only dollars. With choice off, the first is carried along by the BTC/USD path while the second relies on pay and UBI. With fast choice, both rebalance every month, the windfall is shared across more households, and the poorest fifth keeps a bigger slice.
Bitcoin share of money, % (Substantial AI)02040608010005101520yearsspeed 0 (off)speed 0.01speed 0.05speed 0.2speed 1
Poorest fifth’s share of wealth, year 20 (%)0%1.0%2.0%3.0%4.0%0 (off)0.010.050.21Money choice speedNo AISubstantialCheap + fusion
Takeaway

Choice speed doesn’t change how big the AI boom is. It changes who holds the bitcoin windfall.

What to keep in mind

The BTC/USD path is given. Hybrid households can’t move the bitcoin price; their wealth follows the app’s path, including its spikes and pullbacks.
Pay currency switches all at once. Everyone pays in the money with the higher score, so results jump when trust crosses legal-tender pull.
Jobs follow a built-in rule. Hiring scales with a “natural” unemployment rate that AI pushes up, so the job numbers mostly follow that rule.
Small economies. These runs use 500 households and 50 firms; the app default is 4,000 and 200. Spot checks at the default size (3 fiat seeds, 1 hybrid seed) match on output, unemployment, wealth Gini and bitcoin share within about 2%; typical consumption runs up to 10% higher.
A teaching tool, not a forecast. Every number here is evidence about the model’s assumptions, not about the real world.

Try it yourself

Open a case, press Run, then move one hybrid slider (bitcoin trust, fiat legal-tender pull or money choice speed) and run again.

Open the economy simulator → barrybecker4.org/programming-projects/economy-simulation