What If Nobody Wins the AI Race?

2026-07-12 · Source: LLM on Medium · Field: Business & Management — Corporate Strategy & Leadership, Entrepreneurship & Start-ups · Depth: Fundamental Awareness, quick

Summary

Benedict Evans, a renowned technology analyst and former a16z partner, proposes that AI labs developing foundation models may experience a business trajectory akin to mobile network providers. He highlights that despite mobile data traffic increasing by approximately 2,000x over 15 years and networks generating billions in revenue, their stock prices have shown minimal growth. Concurrently, significant innovation and profit occur at the application layer, built by other entities leveraging this infrastructure. Evans suggests that AI labs are constructing the essential infrastructure for the next technological revolution, but the ultimate value capture might primarily benefit those who build applications on top of these foundational models, rather than the model developers themselves.

Key takeaway

For investors evaluating AI companies, recognize that foundational model providers might face similar market dynamics to mobile network operators. Infrastructure value doesn't always translate to outsized stock growth for the builders. Focus your due diligence on application-layer companies that leverage these models to capture direct user value, rather than solely on the underlying infrastructure builders. This perspective suggests a strategic shift in investment focus.

Key insights

AI labs building foundation models may mirror mobile networks: providing infrastructure while others capture application-layer value.

Principles

• Infrastructure providers may not capture full value.
• Value often accrues at the application layer.

In practice

• Evaluate where value accrues in platform ecosystems.
• Focus on application development over foundational infrastructure.

Topics

• AI Race
• Foundation Models
• Mobile Networks
• Market Dynamics
• Technology Investment
• Value Capture

Best for: Investor, Entrepreneur, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by LLM on Medium.