AI's Reshaping of Energy Investment

Master the Moment and Reach Your Peak with Defoes

"Data centre electricity demand is set to roughly double, from 485 to 950 terawatt hours by 2030, growing four times faster than every other sector, with renewables and nuclear meeting nearly 60 per cent of that fast-rising, structural new need."

Artificial intelligence has quietly become one of the most consequential forces reshaping energy investment. The computing power behind AI, and the data centres that house it, is driving electricity demand growth at a pace few energy markets were built to absorb.

The International Energy Agency projects that global electricity consumption from data centres will roughly double, from 485 terawatt hours in 2025 to around 950 terawatt hours by 2030, close to 3 per cent of global electricity demand. Data centre electricity use is growing at around 15 per cent annually, four times faster than total demand from every other sector. In the United States alone, Goldman Sachs Research expects data centre power demand to more than double, from 31 gigawatts in 2025 to 66 gigawatts in 2027.

For the investor at the centre of this story, an allocator seeking exposure to structural, multi-decade demand rather than short-term technology cycles, the mission is to understand how this surge in electricity consumption is reshaping the broader energy investment landscape. Data centre expansion alone is expected to account for roughly half of global electricity demand growth through 2030, a scale of impact that touches generation, grid infrastructure and storage simultaneously.

The obstacle lies in matching supply to an unusually fast-moving demand curve. The IEA has flagged that data centre project pipelines in parts of Europe already represent more than 130 per cent of existing grid capacity, highlighting a genuine mismatch between planned digital infrastructure and the physical power systems required to support it. This is not solely a technology bottleneck; it is increasingly an energy infrastructure one.

Renewables and nuclear power are positioned to absorb much of this growth. The IEA expects renewables and nuclear to supply nearly 60 per cent of data centre electricity by 2030, up from around 35 per cent today, with renewables alone meeting close to half of the additional demand growth over the period. Natural gas and coal are expected to fill near-term gaps, while nuclear's contribution is set to grow more meaningfully toward the end of the decade.

This is where a guide becomes valuable. Specialist analysis can help investors understand where genuine, durable demand is forming across the energy value chain, from generation and transmission to storage and grid modernisation, and distinguish between speculative AI-adjacent plays and infrastructure with measurable, contracted demand behind it. The path typically follows three steps: understand the scale and pace of data centre-driven demand, evaluate which parts of the energy system are best positioned to meet it, and access exposure through appropriately structured real asset strategies.

The resolution for investors is not a guaranteed outcome but a clearer view of where a genuinely new source of structural energy demand is originating, distinct from cyclical fluctuations in traditional power markets. Recognising this distinction allows for more informed positioning within a broader real assets allocation.

The higher purpose extends well beyond any single data centre or utility. As AI adoption accelerates globally, the energy infrastructure required to support it is becoming one of the defining capital themes of the decade, one likely to shape generation mix, grid investment and resource demand for years to come.

Corporate procurement reinforces this shift. Leading AI and cloud providers have expanded renewable sourcing to around 58 per cent of purchased power, up from roughly 50 per cent a year earlier, while showing growing interest in nuclear and hybrid solutions for reliable, round-the-clock power.

AI-driven energy demand remains an evolving and fast-changing area, with forecasts subject to meaningful revision as technology and policy develop. Past performance does not guarantee future results, and decisions regarding exposure to this theme should be made independently or in consultation with a regulated financial adviser.

Disclaimer: The content provided herein is for general informational purposes only and does not constitute financial or investment advice. It is not a substitute for professional consultation. Investing involves risk, and past performance is not indicative of future results. We strongly encourage you to consult with qualified experts tailored to your specific circumstances. By engaging with this material, you acknowledge and agree to these terms.