The Factory Behind Every AI Model

Last week, the European Union officially opened bidding to build up to seven AI Gigafactories across the continent.

Each facility is expected to house at least 100,000 cutting-edge AI processors, backed by high-speed networks, massive storage infrastructure and dedicated power systems. The project could mobilize more than €30 billion in public and private investment.

At first glance, it looks like another government AI initiative.

I don’t think that’s what matters.

What caught my attention wasn’t the size of the investment. It was the word factory.

For years, we have called these facilities data centers. Now governments, hyperscalers and chip companies increasingly describe them as AI factories.

That might sound like a marketing change.

I think it’s actually an economic one.

Factories consume raw materials and produce goods. AI factories consume electricity, chips and data to produce intelligence.

That subtle shift changes where capital will flow over the next decade.

The biggest winners may not be the companies building the AI models everyone talks about. They could be the businesses supplying the infrastructure that makes those factories possible.

In today’s Tech Economics Premium edition, I break down why this change in language matters, what an AI factory actually looks like, and the often-overlooked industries I believe are positioned to capture the largest share of this new investment cycle.

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