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Artificial intelligence at scale consumes extraordinary amounts of energy. It’s not, at time of writing, a bigger consumer of energy than many other global industries – the fashion industry and the video streaming sector, for example. But as AI’s energy demand continues to grow, powering that demand is an industrial challenge. 

Some data centres draw power at levels comparable to small cities, and cooling systems strain local grids. So more and more people are asking: how much AI growth can we sustain? 

And now, major energy companies – including Saudi Aramco – are positioning themselves at that constraint. 

The cost of intelligence 

The global race for AI dominance has largely been framed around semiconductors – who designs them, who manufactures them, who gets access. But chips exist within vast physical systems that require: 

• Continuous, reliable electricity
• Advanced cooling infrastructure
• Land and connectivity at scale

Recent reporting highlights how Aramco is deepening its push into AI and advanced computing. At first glance, it may seem like diversification. Look closer, and it reads as strategic positioning at a critical choke point.

Because every model trained and every AI-powered product launched ultimately depends on energy.

Reframing the stack 

The first wave of AI investment focused on algorithms, and the second focused on chips. The third wave is shaping up to be about infrastructure. 

That stack now looks something like this:

1. Energy – generation and distribution
2. Compute – data centres and hardware
3. Models – software and applications

The industry has spent the last few years puzzling over layer three. But constraints are emerging at layer one.

And this is where major energy companies like Aramco have a clear advantage. As one of the world’s largest energy producers, Aramco operates at a scale (and with a level of vertical integration) that few technology companies can replicate. Its move into AI isn’t about competing with model builders; it’s about enabling the environment in which they operate.

A new kind of power player 

The implication of this is that energy companies may become some of the most important actors in the AI ecosystem.

Aramco’s investments in advanced computing and AI partnerships, outlined across recent press coverage, suggest a strategy that blends:

• Energy supply for compute-heavy workloads
• Industrial AI deployment within its own operations
• Infrastructure development that could support broader ecosystems

This positions the company as a platform with the potential to capture significant value.

Investors, take note 

This could challenge a deeply ingrained assumption – that AI returns will be concentrated in software and venture-backed innovation. 

Instead, we see three important recalibrations emerging: 

1. Infrastructure is investable again.
   Data centres, grids, and energy systems were once seen as slow and capital-intensive, but now they’re becoming central to AI scalability.
2. Constraints create opportunity.
   Where demand outstrips supply (in this case, power), pricing power and strategic importance follow.
3. Cross-sector plays will define the next wave.
   The most interesting opportunities may sit at the intersection of energy, compute, and AI – not within any single category.

Beyond the hype circle 

Technology cycles often focus first on the stuff that’s easy to see. The interfaces and applications; the consumer breakthroughs that change people’s lives. 

But enduring value often comes from the layers underneath all of this. 

Aramco’s pivot into AI infrastructure is a reminder of that dynamic. It’s less about chasing the current wave, and more about ensuring relevance in the one that follows.

Because while software may define what AI can do, energy will define how far it can scale.

Meet the world’s leading AI infrastructure builders at DeepFest 2026 

At DeepFest, conversations like these move from theory to deal flow. You’ll meet infrastructure investors and AI founders, and explore cross-sector partnerships.