For years, discussions about artificial intelligence have mostly been about software, algorithms, various models, and the companies that make them. But beneath this digital revolution, there are more tangible consequences. The first of these was the rising price of RAM, caused by the high demand created by powerful AI chips. The next step could be even more important, as the rapid expansion of AI begins to reshape global demand for physical resources, quietly laying the groundwork for what could be the next big commodity cycle.
The Physical Backbone of Artificial Intelligence
The question of the physical infrastructure needed to scale AI is often ignored. Many consider it a chain of large warehouses with large fans, but the truth is that they require a large number of raw materials, not all of which are readily available.
This rise in demand is already being seen in industrial metals. Copper, for example, is very important because of its role in electrical systems and power transmission. From hyperscale data centers to increased grid capacity, the need for copper is closely related to how fast the AI infrastructure can grow.
But it doesn’t end there. Materials such as gallium and germanium for semiconductors, lithium and cobalt for energy storage, and palladium for capacitors play a very important role in the expansion of AI.
Data Centers Are New Industries
To understand the magnitude of this change, it helps to rethink what data centers represent today. They played the same role as factories in the early industrial revolution during the 19th century. The only difference is that they do not produce goods. Instead, they process and store information, a key element of the fourth industrial revolution.
Building and maintaining these structures requires a lot of iron, aluminum, copper, and rare earths. More importantly, they consume large amounts of electricity, creating a need for energy equipment and grid infrastructure.
This is where the story of AI-driven assets gets really interesting. Unlike traditional demand cycles, which can fluctuate with economic conditions, AI investments are increasingly viewed as strategic. Governments and companies alike are prioritizing it as part of long-term competitiveness, making the underlying demand for goods strong, with no end in sight.
Energy Demand Increases Along with AI
One of the most immediate and visible impacts of the expansion of AI is its effect on energy markets. Training large AI models and the data centers that run them require enormous resources, often far exceeding those of traditional IT infrastructure.
As a result, energy producers are facing a new wave of demand. This affects not only fossil fuels but also renewable energy sources. Solar panels, wind turbines, and battery storage systems all rely on precious metals, further increasing pressure on raw material supply chains.
Coverage from CCN and other crypto industry media has been documenting the pressure on the energy sector created by crypto mining. This was often cited as the main argument against crypto mass adoption. However, the electricity levels in the crypto industry pale in comparison to the demand for AI expansion. Crypto mining is already putting a lot of pressure on existing networks, and the recent increase in demand from data centers threatens to push them over the edge.
Rare and Neglected Objects Gain Importance
Metals like copper and silver have been in high demand, and the new spike in demand is not surprising. But AI is also driving demand for intangible services. Semiconductor production, cooling technology, and specialized hardware all require rare elements whose production is experiencing a significant increase in demand.
In some cases, these services have limited supply chains that are concentrated in a few regions. This creates potential obstacles, especially as political tensions and trade restrictions continue to impact global markets.
The conclusion
The impact of AI expansion is often viewed in terms of digital transformation, but it also has implications that go far beyond data and algorithms. It affects the physical world in ways that are only beginning to be understood.
From the massive increase in demand for raw materials to the massive increase in electricity generation and distribution, AI is creating a critical demand cycle in the commodity market. At this rate, AI will not only change the industries that directly benefit from it but will completely change the nature of goods in the coming decades.
