Why Are Tech Giants Spending $700 Billion on AI Infrastructure If the Race Is About Models?
The AI race is attracting hundreds of billions of dollars, but increasingly those investments are going not into models, they are going into infrastructure.
In 2026 alone, the world's largest technology companies are expected to spend nearly $700 billion on AI-related capital expenditures, with most of that investment directed toward data centers, compute capacity, and power infrastructure rather than model development.
I believe we're still measuring the AI race using the wrong scoreboard. Everyone assumes the competition is about building better models. In reality, the next competitive advantage may come from securing the infrastructure that allows those models to operate at scale.
If the future of AI is determined by better models, why is so much capital being deployed elsewhere?
In 2023, the competitive advantage in AI was largely about models. In 2024, the conversation shifted toward GPUs as companies raced to secure compute capacity. By 2026, however, the bottleneck...
Copyright of this story solely belongs to hackernoon.com. To see the full text click HERE
