AI deployment brings its own challenges to the data center market, but arguably, the biggest challenge with AI is the availability of power. In a world that is becoming more digital and electric, power and power availability are already at a premium. If we’re going to see all this AI investment, how are we going to power the infrastructure required to do so?

More AI initially means more energy consumption, especially for large language models (LLMs). However, AI also drives more efficiency in machines and increases productivity, which should reduce overall energy usage. The excitement around AI stems from its potential to create a more efficient world in the future. When applied correctly, AI can drive significant energy efficiency.

While digitization is emerging as a pivotal force in fostering sustainability, it also creates an escalating demand for energy. In the new energy landscape, we’re witnessing a shift where leading tech companies are embracing the decarbonization of their energy models. This transformation is empowering data centers to evolve from energy consumers to proactive prosumers, effectively supporting both the demand and supply of energy. Increased automation and AI in the generation and distribution of energy will have long-lasting benefits for our planet.

Currently, it is estimated that 60% of the energy we produce is either lost or wasted due to system inefficiencies, manual practices, or human behavior. In a world that is more digital, more automated, and more AI-led, imagine how much we could reduce energy loss.