The artificial intelligence industry is transitioning from fierce competition for GPUs to a "shared fate" model, forming a closed ecosystem of mutual investments and procurement between tech giants, chip suppliers, and cloud providers.
What Happened
Current revenue growth in the AI sector may be driven not by real consumer demand, but by internal transactions within the ecosystem of giants, such as large compute rental contracts prior to IPOs. Simultaneously, the focus of technological bottlenecks is shifting from chip shortages to critical physical infrastructure: cooling systems, power management (800V DC), and high-speed data transmission.
Context
There is a risk of repeating the dot-com bubble scenario, where the financial stability of players becomes critically dependent on the ability of other participants within the same system to generate profit through cycles of mutual investment.
Why It Matters for the Industry
For the industry, this means the formation of a complex interdependence where companies' financial metrics may be artificially inflated by internal deals. This requires a deeper analysis of revenue quality and shifts the vector of capital expenditures (CAPEX) toward the infrastructure stack (HBM, power, and cooling systems).
Why It Matters for Users
Readers and investors should monitor not only progress in model development but also companies solving physical infrastructure challenges, as they are becoming the new critical nodes in the supply chain.
What Is Not Yet Known / Limitations
Confirmation of real consumer demand outside the ecosystem of major players is necessary to assess the long-term sustainability of the market.
Sources
Author
Look at AI, Editorial Team