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Scenario analysis · 5 min read

20% global unemployment: an inevitable crisis?

An extreme scenario can lead to very different outcomes — depending on income distribution, debt and public financing.

MacroVision editorial team · Updated:

In one minute

20% unemployment is a scenario assumption, not a forecast. The key is who receives the income generated by automation.

TechnologyProductivity and costs
DistributionIncome, capital and debt
PolicyTaxes, benefits and financing
A mechanism map for illustration only; it contains no quantitative forecast.

What is actually being examined?

The research posits a hypothetical global unemployment rate of 20% and examines how changes in employment, productivity and prices affect consumption, debt and the government budget. It does not claim that the world will reach this rate.

Why are falling costs not enough?

Even if machines produce more cheaply, companies are not obliged to pass all the savings on to consumer prices. Concentration, demand, energy and resource scarcity may temper the price decline.

Two possible paths

On one path, capital owners enjoy high profits while workers' incomes erode. On another, part of the profit finances benefits, public services or broader capital ownership. The same technology can produce different social outcomes.

What does the model say?

The integrated model from step 71 links wages, prices, taxes, benefits and debt over time. The results depend on the financing assumptions and are not an empirical estimate of the world economy.

Limitations

There is no well-founded probability for the scenario here, no reliable estimate of the rate at which machines replace workers, and no forecast of government policy. The results should therefore be read as sensitivity tests, not predictions.

Sources and transparency

This publication explains the existing research in accessible language. Its accounting example and scenarios are neither official forecasts nor investment recommendations.

To the research and methodology ←

What do you think?

Which assumption seems more decisive to you: falling prices or income distribution?

Further reading

Data guide · AI and work

Which occupations are most exposed to AI? The full ILO ranking

Office and clerical work at the top of the list, physical work at the bottom. What the International Labour Organization's index really measures, and what it does not say about layoffs.

Empirical finding · AI and work

Is AI already eliminating jobs? What the data from Europe show

We examined 13 countries and 39 occupational groups: did exposed occupations lose more jobs in places where firms adopted AI faster? The answer for now: no effect can be detected.

Research finding · Simulation

Even when benefits protect them, those who lost their jobs fall behind

In all 42 matched comparisons in the automation simulation, displaced workers ended below the path in which the change did not happen, even when benefits maintained their level of consumption.

Research scenario

If AI replaces jobs, what will we live on?

An unemployment rate of 20% raises a question beyond the number of jobs: how are the gains from automation distributed?

Accounting illustration

Prices have fallen. Will the benefit buy more?

Purchasing power also depends on wages, taxes and debt. A simple example shows why lower prices are not the whole story.

Descriptive findings

Can corporate tax fund a world with less work?

The available data help frame the question, but do not yet provide a causal answer or guarantee tax revenue.

Descriptive case study

Tax expense and cash tax — why do the numbers differ?

A case study of three companies illustrates the difference between tax expense and actual payments, and the effect of weighting choices.

Economic explainer

Cheaper machines, cheaper products?

The link between automation and prices depends on competition, non-labor costs and how quickly the economy adjusts.

Concept guide

Could a basic benefit preserve living standards?

A purchasing power test must include prices, debts, taxation and the source of the benefit's financing.

Distributional analysis

Asset ownership versus debt: who is more resilient to automation?

The difference between labor income and capital income may become decisive — but asset owners are also exposed to risk.

Behind the research

Behind the forecast: how do you build a model for the age of automation?

From scenario assumptions through government accounting to sensitivity tests — and what still cannot be concluded.

Research finding · Simulation

Falling prices do not reach everyone: why renters are hurt more

In the automation simulation, when savings pass through to prices, renters and mortgage holders fall behind. Indexing the benefit to housing costs helps only when there is budget.

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