Venture capitalists have increasingly invested over half a trillion dollars into AI startups over the past five years. However, current trends suggest that the most promising investments may lie in the energy sector, particularly regarding data centre operations. A recent report from Sightline Climate highlights that nearly 50% of announced data centre projects might face delays, primarily due to power access issues.
Currently, of the 190 gigawatts of data centres tracked, merely 5 gigawatts are under construction. Last year saw the completion of around 6 gigawatts of data centre projects, but an alarming 36% are projected to experience timeline setbacks in 2025. These delays could have widespread consequences, impacting large AI-dependent enterprises and businesses.
This energy supply-demand imbalance presents an investment opportunity. Major technology players, such as Google and Meta, are investing significantly in renewable energy projects, including solar and wind, as well as initiatives like Form Energy’s innovative long-duration battery storage technology.
Numerous startups are also addressing energy challenges. Companies like Amperesand, DG Matrix, and Heron Power are innovating in power conversion, while others—like Camus, GridBeyond, and Texture—are developing software to manage energy flow efficiently. With AI predicted to increase data centre power consumption by 175% by 2030, according to Goldman Sachs, the demand for reliable energy sources will only escalate.
Currently, the electricity grid is facing unprecedented shortages, driving up costs across Australia and prompting tech firms to explore alternative power supply solutions. Encouragingly, companies like Amazon and Oracle are pushing to reduce reliance on the grid by adopting hybrid systems that complement on-site power generation. Notably, less than a quarter of new projects with identified power sources plan to use solely on-site generation.
This shift is propelled by equipment shortages, especially for gas turbines, alongside widespread grid issues. An example of this innovative approach is Google’s recent project in Minnesota, where it will merge wind and solar energy with a 30 gigawatt-hour battery from Form Energy. Similar efforts are being made to increase grid-scale battery capacity, which is projected to reach nearly 65 gigawatts in the U.S. by year-end.
Beyond supply, managing energy effectively is crucial. Traditional transformers, although reliable, are antiquated, struggling to meet the growing demands of data centre operations. This has led investors to support newer technologies, such as solid-state transformers that utilise silicon-based power electronics, potentially offering more efficiency and versatility.
Despite significant funding into AI, investments in energy management technologies remain smaller but may offer better stability. As the global demand for power rises, these investments could provide a safeguard for investors, indicating that perhaps the most lucrative opportunity isn’t strictly within AI but within the broader energy landscape.
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