An analytical report shows that interest in artificial intelligence technologies is not fading but continues to accelerate, reaching an overheating index of 92 out of 100. The primary growth driver is shifting from software solutions to colossal investments in physical infrastructure.
What Happened
The top 5 largest market operators are spending approximately $148 billion per quarter on capital expenditures (CAPEX). However, financial stratification is being observed: while Microsoft and Alphabet continue to fund development through their own profits, Amazon and Oracle are forced to use reserves and borrowed funds. Simultaneously, a 172% increase in data center capacity has been recorded in the pipeline.
Context
The AI industry is undergoing a transition from a stage of pure software hype to a phase of large-scale capital construction. This is creating a supercycle that spans the entire supply chain: from semiconductor manufacturers (TSMC, Intel) and specialized memory (HBM) to energy equipment manufacturers.
Why It Matters for the Industry
Component shortages are becoming a critical challenge for the industry. In particular, lead times for transformers are reaching ~144 weeks. Additionally, the industry is facing the exhaustion of high-quality human data, forcing developers to switch to using synthetic data for model training.
Why It Matters for Users
For users and investors, this means a shift in focus: the primary growth is now linked to energy, cooling systems, and hardware manufacturing. In the near term, an increase in the cost of owning computing power and intensified competition for specialized datasets is expected.
What Remains Unknown / Limitations
A market correction is possible if software expectations collide with hard physical constraints in the areas of power supply, cooling, and chip delivery timelines.
Sources
Author
Look at AI, Editorial Team