AI Exhausts Computational Capacity and Pressures Global Tech Sector

The exponential growth of Artificial Intelligence in 2026 has hit a critical physical barrier: global computational capacity. What was once a theoretical concern has become a supply crisis that is driving up costs, causing failures in large-scale services, and transforming market dynamics between hardware manufacturers and software developers.

Infrastructure and GPU Shortage

The demand for processing generative models and autonomous agents has surpassed the most optimistic projections from semiconductor manufacturers. The shortage of next-generation GPUs (Graphics Processing Units) is no longer the only problem; the bottleneck now extends to network infrastructure and, primarily, to the power supply and cooling capacity of data centers.

Storage Collapse: The Western Digital Case

One of the most alarming indicators of this crisis came from the storage sector. Western Digital recently announced that it has already sold out its entire production capacity for HDDs and SSDs for the year 2026. According to the company’s CEO, Irving Tan, most of this production was reserved by just seven major tech giants, the so-called “Big Techs,” which are building massive infrastructures to support the next generation of AI.

This movement creates a ripple effect in the consumer market. With supply concentrated in the corporate sector, prices for storage components for end consumers, such as RAM and hard drives, have begun to rise sharply, affecting everything from the PC market to video game consoles.

Impact on Services and Operational Costs

For companies that rely on the cloud to run their AI services, operational costs have become a sustainability challenge. Many startups and medium-sized companies are struggling to keep their services active due to increased processing fees imposed by cloud providers. Reports of instability and slowness in AI tools used by millions of users have become frequent, highlighting that servers are operating at the limit of their thermal and processing capacity.

The Future and Pressure for Sustainability

Analysts warn that the pressure is likely to continue throughout 2026 and 2027. The only factor that could alleviate this crisis would be a radical shift in AI model architecture to require less hardware, or a pullback in investment—a scenario that seems unlikely given the current tech race. In addition to hardware, environmental pressure regarding the water and energy consumption of data centers is forcing governments to create stricter regulations for the sector.