What Would Major Douglas Think of the AI Revolution? By James Reed

If the early twentieth-century engineer and economic theorist C. H. Douglas could step into the twenty-first century, the first thing that would strike him would not be the internet, smartphones, or even artificial intelligence. It would be something much more familiar: the same economic contradiction he identified over a century ago, now magnified to almost absurd proportions.

Douglas' central insight was deceptively simple. Industrial production was becoming increasingly efficient, yet the financial system distributed purchasing power more slowly than goods were produced. Factories could generate abundance, but wages and dividends were insufficient to buy what those factories produced. The result, he argued, was a permanent gap between production and purchasing power, papered over by debt, exports, or war.

Artificial intelligence, robotics and automation would appear to Douglas not as a surprise, but as the logical end point of the industrial trajectory he had already identified.

Machines were already replacing labour in Douglas's time. AI simply accelerates that process. And here the irony becomes unavoidable.

Modern economies are entering an era in which machines will increasingly perform the majority of productive work, yet the economic system still distributes income primarily through employment. In other words, the link between labour and income — which Douglas argued was already fragile in 1920 — is now breaking down entirely.

A factory run largely by robots can produce enormous quantities of goods. An AI-driven logistics system can optimise supply chains. Software can replace accountants, lawyers, designers, and even some journalists. But if fewer people are employed, then fewer people receive wages. And if people do not receive wages, they cannot buy the goods that automated factories produce.

Douglas would immediately recognise the pattern.

He would say that the technological system has moved forward while the financial system has remained frozen in the nineteenth century.

The problem is not production. The problem is distribution.

To Douglas, wealth was never simply money. Wealth was the capacity of a society to produce goods and services when they were needed. Modern technology, especially artificial intelligence, has dramatically increased that capacity. In theory we are now closer than any civilisation in history to genuine material abundance.

Yet the financial system behaves as though scarcity still governs everything.

This is why automation is often discussed in terms of unemployment crises, economic disruption, or social instability. The technological system promises abundance, but the financial system continues to ration access to that abundance through employment.

Douglas's answer to this contradiction was the concept that later became known as Social Credit. The idea was that technological progress creates a form of social inheritance — the accumulated knowledge, inventions and infrastructure built up over generations. Because modern production relies heavily on this collective inheritance rather than solely on individual labour, every citizen has a legitimate claim to a share of its benefits.

In practical terms, Douglas proposed the National Dividend: a regular payment distributed to citizens simply by virtue of their participation in the national economy.

To twentieth-century critics this idea sounded radical.

In the age of artificial intelligence it begins to look obvious.

If machines perform an increasing share of productive work, then income cannot remain tied exclusively to jobs. A society that produces abundance through automation must distribute purchasing power in a different way, or the entire economic system will become increasingly unstable.

AI therefore exposes the weakness of the traditional wage-based model of income distribution. The more productive technology becomes, the less necessary human labour becomes in many sectors. Without some new mechanism for distributing purchasing power, the system produces the strange spectacle of abundance coexisting with insecurity.

Douglas would likely view this not as a technological problem but as a financial design flaw.

From his perspective, artificial intelligence simply proves that production has outgrown the accounting system used to measure and distribute its output.

In fact, AI might even make Douglas's ideas easier to implement. Modern digital infrastructure allows governments to track production, consumption and national capacity with a precision unimaginable in the 1920s. A national dividend could theoretically be distributed instantly through digital payment systems.

The real barrier would not be technology.

It would be ideology.

Modern economic thinking still treats employment as the primary source of legitimate income, even though the productive system increasingly relies on automation and accumulated technological knowledge rather than human labour alone.

Douglas would probably regard this belief as a form of economic superstition — a relic from an earlier industrial stage.

From his perspective the purpose of an economy is not to maximise employment but to maximise the delivery of goods and services that people actually want. If machines can perform that task more efficiently, then society should celebrate the reduction of labour rather than fear it.

Artificial intelligence therefore represents something close to the ultimate test of Douglas's theory.

Either societies adapt their financial systems to distribute the benefits of automated production more broadly, or they continue forcing an increasingly automated economy into a wage structure designed for a world of human labour.

Douglas believed the first path would lead toward a civilisation of leisure and security.

The second path leads toward something stranger: a world where machines produce abundance while humans struggle to afford it.

In that sense, the AI revolution may not simply be a technological transformation.

It may finally force modern economies to confront the question Douglas asked more than a century ago: if society can produce plenty, why are so many people still short of purchasing power?