The Future of AI Is Also a Question of Who Owns the Value

Much of the discussion about artificial intelligence focuses on what the technology will make possible.

We talk about automation, productivity, new forms of work, and the possibility of creating more economic value with fewer resources. These are important questions, but they leave another question largely unresolved: who will capture that value?

That perspective is useful because technological change does not happen independently of the economic systems in which it is introduced.

The same AI capability can have very different implications depending on whether someone owns the business deploying it, builds the technology, works alongside it, or performs work that can increasingly be automated.

For an organisation, automation may improve productivity and reduce costs. For an employee, it may change the nature of their role or alter the demand for their skills. For investors and technology companies, increasing adoption may create new sources of economic value. These outcomes can exist at the same time.

This makes productivity an incomplete measure of technological progress.

If an organisation becomes capable of producing more with fewer resources, we still need to understand what happens to the resulting gains. They might be reflected in lower prices, higher wages, new investment, increased profits, shorter working hours, or new forms of employment.

Technology alone does not determine that distribution.

Ownership, labour markets, institutions, education, regulation, and organisational decisions all influence what happens after productivity increases.

This also explains why discussions about the future of work can become difficult to reconcile. One person may see automation as an opportunity to remove repetitive tasks and create more meaningful work. Another may see the same development through the possibility of reduced employment or income.

Neither perspective exists entirely within the technology.

Both are shaped by the position from which the technology is being experienced.

There is a broader lesson here for how we think about AI.

The development of increasingly capable systems is often treated as though it will naturally lead to a particular economic future. It will not. AI can expand the range of what organisations and individuals are able to do, but the economic consequences will depend on how those capabilities are incorporated into existing systems.