The global race to control the AI hardware stack
The AI revolution is governed by a highly concentrated physical infrastructure, where critical dependencies on semiconductors, cloud computing, and energy create significant barriers to entry. As a few “hyperscalers” and specialized manufacturers dominate the supply chain, global competition authorities are shifting focus toward preventing market foreclosure and ensuring long-term innovation. This strategic analysis highlights how industrial policies and vertical integration are reshaping the geopolitical and economic landscape of the AI ecosystem.
Points clés
- Nvidia dominates the GPU market with a share exceeding 80%, bolstered by its proprietary CUDA software ecosystem.
- TSMC holds a near-monopoly on the manufacturing of the world’s most advanced AI chips, with over 90% market share.
- ASML is the exclusive provider of Extreme Ultraviolet (EUV) lithography machines, representing a critical hardware “chokepoint.”
- The “Big Three” cloud hyperscalers—AWS, Google Cloud, and Microsoft Azure—are the primary gateways for AI developers to access compute power.
- Strategic partnerships, such as Microsoft’s investment in OpenAI and Amazon’s in Anthropic, are blurring the lines between infrastructure providers and model developers.
- Supply shortages in the semiconductor market allow dominant firms to “pick winners” by prioritizing chip delivery to specific customers.
- High-level market concentration is maintained by extreme capital requirements, IP protections, and significant switching barriers like data “egress fees.”
- Governments are increasingly intervening through industrial subsidies like the US CHIPS Act and strict export controls.
- Competition authorities are scrutinizing “acqui-hires,” where tech giants acquire startups primarily to absorb talent and neutralize future competition.
- International cooperation through the G7 is becoming a standard for advocating competitive neutrality in global AI infrastructure.
À retenir
If you were hoping for a scrappy startup to build the next global AI backbone from a garage, I have some bridge-selling opportunities for you. Between the 90% market dominance of TSMC and the “hyperscalers” acting like the landlords of the digital world, the entry fee for this club is roughly several billion dollars and a private power plant. For the non-experts: maybe don’t try to build your own chips just yet; instead, keep a close eye on those “egress fees” because once you put your data in the cloud, getting it out might cost more than the AI itself. Innovation is great, but apparently, it helps if you already own most of the planet’s subsea cables first.
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