#strategy
7 articles
The AI Capacity Boom Is Turning Product Roadmaps into Capital-Allocation Plans
When computation is scarce, expensive, and tied to physical infrastructure, product strategy changes. The winners will treat inference capacity as a portfolio to allocate—not an invisible utility behind an API.
AI’s Software Margins Are Becoming an Infrastructure Accounting Problem
The AI market is sold with software language but increasingly built with utility-scale assets. Competitive advantage will depend as much on utilization, depreciation, and workload placement as on model quality.
The AI Race Is No Longer About Models Alone. It Is About Balance Sheets.
The industry still talks as if progress is mainly a contest of algorithms. Increasingly, the decisive advantage comes from who can finance, site, power, and operationalize intelligence at industrial scale.
The AI Race Is No Longer About Models Alone. It Is About Balance Sheets.
The industry still talks as if progress is mainly a contest of algorithms. Increasingly, the decisive advantage comes from who can finance, site, power, and operationalize intelligence at industrial scale.
The AI Race Is No Longer About Models Alone. It Is About Balance Sheets.
The industry still talks as if progress is mainly a contest of algorithms. Increasingly, the decisive advantage comes from who can finance, site, power, and operationalize intelligence at industrial scale.
The AI Race Is No Longer About Models Alone. It Is About Balance Sheets.
The industry still talks as if progress is mainly a contest of algorithms. Increasingly, the decisive advantage comes from who can finance, site, power, and operationalize intelligence at industrial scale.
AI Is Becoming an Infrastructure Business With a Software Front End
The industry still talks as if model intelligence alone decides the winners. Increasingly, the harder contest is over power, cooling, utilization, and the financial discipline required to turn compute into a product.