← The Score CardClaim 04 of 06

Claim 04 of 06

Work becomes a choice.

Progress is measured by the share of working-age adults able to meet basic needs without employment income. That share has risen from 4.5 to 5.1 percent since 2020, against a completion threshold of 100 percent.

Progress since 2020
0%
Share of the distance from the 2020 value of the primary measure to its completion threshold.
Estimated completion
2062
most working-age adults secure without labour income
Trend
Close to flat
Direction of the primary measure over the six years since the baseline.

Primary measure

Basis of the progress score

The single objective measure assigned to this claim, tracked from the 2020 baseline to the current value. This measure alone determines the progress percentage.

% of working-age adults able to live without labour income

Non-employment security rate

The share of adults aged 15 to 64 able to meet basic material needs indefinitely without income from employment, through adequate pension entitlements, capital income, or an unconditional public transfer. Completion requires that employment is not materially necessary for any working-age adult.

2020 baseline4.5%
Current value5.1%
Completion threshold100%
0%25%50%75%100%
Progress = (5.1% now − 4.5% in 2020) ÷ (100% at completion − 4.5% in 2020) = 1%
4.5%20205.1%20214.6%20224.7%20234.8%20244.9%20255.1%2026
Annual values of the primary measure, 2020 to 2026. The progress score above is derived from the 2020 and 2026 values only.

Supporting measures

Related indicators

Reported alongside the primary measure to show whether it is consistent with the wider evidence. These do not enter the progress score. Bars show relative movement only.

Global average annual hours worked
about 1,740about 1,715
Average annual hours per worker fell approximately 1.4 percent over the period, continuing a long-run decline. The 2021 value in the primary series reflects temporary pandemic transfers rather than a structural change.
Global labour share of income
52.9% (2019)52.4%
The labour share fell 0.6 points between 2019 and 2022 and has been flat since. The ILO estimates that at the 2004 share, labour income would have been $2.4 trillion higher in 2024. This measure has moved away from the claim.
Moving the wrong way
People receiving an unconditional basic income
near zeroabout 40,000
122 US pilots between 2017 and 2025 distributed $481 million to approximately 40,000 recipients. No country has implemented an unconditional basic income at national scale.

Recent developments

Events since 2025

Developments relevant to this claim, and their effect on the primary measure where there is one.

Apr 2026
Goldman Sachs estimated approximately 16,000 US jobs per month eliminated by AI, about 192,000 annually, against a workforce of roughly 160 million.
2026
The Stanford AI Index, an Anthropic study, and an IMF analysis of Denmark independently found no aggregate unemployment effect from AI adoption to date, using different data and different methods.
2024-2026
Entry-level hiring contracted sharply in AI-exposed occupations. Junior software and data postings fell by as much as 67 percent, with a documented 14 percent decline in entry rates for ages 22 to 25. Separations remained low.
2025
An AEI review of 30 randomised guaranteed-income trials found a mean effect of plus 0.8 percentage points on the share employed, indicating that unconditional transfers do not reduce labour supply materially.
Oct 2025
The Guaranteed Income Pilot Program Act was reintroduced in Congress. It has not advanced.

Completion estimate

Basis for 2062

Starting point, adjustments applied, and the resulting estimate.

The primary measure has increased 0.6 percentage points since 2020, most of which reflects pension adequacy in ageing high-income populations rather than a change in the necessity of employment.

Two supporting measures point in opposite directions. Average annual hours worked per worker fell approximately 1.4 percent. The global labour share of income fell from 52.9 percent in 2019 to 52.4 percent in 2024 and has since been flat, which is movement away from the claim.

Observed labour market effects of AI through 2026 are concentrated in hiring rather than in separations. Goldman Sachs estimates approximately 16,000 US jobs per month eliminated as of April 2026, while three independent analyses find no aggregate unemployment effect.

The claim therefore has two separable dates. The first is the date at which broad task automation makes mass employment economically unnecessary, estimated near 2036 on current capability trajectories. The second is the date at which a distribution mechanism converts that capability into material security, which is a political outcome and has historically lagged capability by decades.

The estimate used here is 2062 for a majority of working-age adults, with a first national unconditional floor near 2041.

Assessment

Arguments for and against

The strongest available case on each side, stated without weighting.

Arguments for

Reasons to expect completion

  • Automation capability is projected to arrive within a decade.The Metaculus community median for AGI is November 2033. If broadly accurate, the economic requirement for mass employment declines substantially over the following decade.
  • The fiscal cost of a floor falls as output rises.Transfer programmes become affordable as a share of GDP when aggregate output grows faster than the cost of basic provision.
  • Employment effects of guaranteed income have been measured and are small.A review of 30 randomised trials found a mean effect of plus 0.8 percentage points on the share employed. The principal historical objection is not supported by the evidence.
  • Comparable transitions have occurred before.Restrictions on child labour, the eight-hour day, the two-day weekend, and universal retirement pensions were each adopted following sustained productivity growth.
  • Political pressure is accumulating.Reduced entry-level hiring produces a cohort with limited employment history, which has historically increased support for redistributive policy.
Arguments against

Reasons to expect failure

  • The primary measure is nearly flat and a supporting measure is negative.Non-employment security rose 0.6 points in six years while the labour share of income fell, indicating that gains from automation are accruing to capital rather than to labour.
  • Prior automation waves increased total employment.Every previous general-purpose technology transition ended with higher total employment in different occupations. Three independent 2026 analyses find no aggregate displacement to date.
  • The fiscal incidence is contested.Funding a universal floor requires taxing capital and compute, held by entities with substantial political and legal capacity to resist.
  • Employment provides non-monetary functions.Occupational status, social structure, and identity are not replaced by income transfers, and societies organised around employment tend to impose costs on non-participants.
  • The transition period carries risk.An extended interval in which employment is scarce and no adequate floor exists produces material insecurity rather than optionality.
  • No national implementation exists.Unconditional basic income has not been implemented at national scale in any country. US pilots between 2017 and 2025 reached approximately 40,000 recipients.

Scenarios

Most likely paths

Two sequences: the most probable route to completion and the most probable route to failure. These are structured projections, not forecasts, and neither is assigned a probability.

Completion scenario

Most likely path to completion

The most probable path begins with labour market disruption rather than with policy.

Reduced entry-level hiring extends from software and data roles into professional services during the early 2030s. Aggregate unemployment remains moderate because separations stay low, but cohort entry rates decline sharply across law, accounting, marketing, junior medicine, and customer service.

By the mid-2030s a substantial population in high-income countries has limited employment history in their thirties. This produces sustained electoral pressure for income support that is not conditioned on work history.

The first national unconditional transfer is implemented in a small high-income state with an existing sovereign revenue stream, converting a resource or fund dividend into a permanent payment. Employment effects are measured and found to be small, consistent with pilot results.

Adoption spreads through the 2040s as fiscal capacity increases. Funding shifts toward capital and compute taxation as the share of output attributable to automated production becomes measurable and politically salient.

By the 2060s a majority of working-age adults in participating jurisdictions can meet basic needs without employment income. Employment rates remain high, because participation continues for non-monetary reasons, but exit from employment ceases to carry material risk.

Failure scenario

Most likely path to failure

The most probable failure is capability without distribution.

Automation proceeds and aggregate output rises approximately as projected. The labour share of income continues its established decline, and the gains accrue to owners of capital and compute.

Policy response takes the form of means-tested and conditional programmes rather than unconditional transfers. Benefit levels are set to prevent destitution rather than to make employment optional, and administrative conditions impose participation requirements.

Remaining employment concentrates in a smaller number of higher-value roles with increased competition for entry. Labour market outcomes bifurcate between long-hours employment and long-term programme dependence.

Material living standards rise in absolute terms across both groups. Median consumption in 2070 substantially exceeds that of 2026. Employment nevertheless remains a prerequisite for economic mobility, and the primary measure stabilises well below the completion threshold.

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Jesse Walker
Jesse Walker
Jesse Walker is a philosopher, a meditation teacher, a business founder and a father. He is optimistic about humanity’s ability to shape AI into a force for global good.