According to a recent LinkedIn post from Rwazi, surging AI adoption could materially increase global electricity consumption by data centers over the next few years. The post cites an estimated jump in AI data center usage from 30 TWh in 2022 to 220 TWh by 2026, alongside higher energy prices for oil and diesel.
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The company’s LinkedIn post highlights that AI workloads require substantially more energy than traditional digital activity, implying that operating costs scale not only with compute but also with power. The post suggests that while many enterprises model talent and infrastructure needs for AI, few appear to incorporate detailed energy-cost scenarios into their planning.
For investors, this perspective points to rising cost exposure for AI-intensive businesses if power prices remain elevated or volatile. It may also signal potential relative advantages for firms that secure low-cost energy, improve efficiency, or invest in optimized data center infrastructure.
The post further implies that energy assumptions could become a key variable in assessing the profitability and scalability of AI strategies targeting 2026 and beyond. This may have cross-sector implications, affecting valuation frameworks for AI adopters as well as utilities, energy providers, and data center operators that can meet growing demand efficiently.