Turbine the Tables: How data center operators can flip the energy equation
Data Center Operators could be turning their waste product into more efficient energy generation, and using surplus capital to invest in the very thing that’s currently their bottleneck.
Data centers are basically heat engines running in reverse — and they’re wasting most of what they produce.
Data centers are basically heat engines running in reverse. You put electricity in, and almost all of it comes out the other side as thermal energy: from processors, from power conversion losses, and from cooling systems working overtime to push that heat somewhere it won’t cause problems. In 2025, hyperscale data centers converted somewhere in the region of 180–220 TWh of electricity into waste heat, and most of that heat went straight into the atmosphere.
Not because there’s no use for it, but simply because nobody built the infrastructure to do anything else with it.
That’s the starting point for a conversation the industry keeps almost having, but always manages to never get around to. Waste heat recovery in data centers is real. There are pilots, academic papers, and German regulations now mandating reuse targets.
The conversation usually ends at district heating; pump the warm water somewhere nearby, heat some buildings, and call it a sustainability win. That’s not necessarily wrong, but I’ve always thought it’s just a bit performative. And it’s a strange place to stop when you’re sitting on a hugely abundant potential power source, whilst simultaneously facing a structural energy shortage.
The Temperature Delta Problem
I’ll do my best to summarise the engineering case. A gas turbine running a combined heat and power (CHP) system produces exhaust gases at somewhere between 343–537°C. That’s more than enough to generate steam and run a secondary power cycle.
In comparison, standard data center air exhaust, usually comes out at 30–45°C in an air-cooled facility, rising to 50–60°C with liquid cooling. That’s too cool for conventional steam turbines, which is where this conversation usually fizzles out. To make that hotter, it’d have to be heated, which would use even more energy.
But organic Rankine cycle (ORC) systems use working fluids with lower boiling points than water, and they operate effectively from around 65°C upward, with reduced-efficiency operation possible from as low as 32°C.
NVIDIA announced in early 2026 that its next-generation AI systems can operate with 45°C inlet water, which makes waste heat recovery economics considerably more attractive than they were even twelve months ago. So this is quite exciting – and the delta between current exhaust temperatures and useful power generation is no longer fixed by physics; it’s now just a design problem.
But to be honest, it can get even more interesting than that, if we continue to steal the homework from energy suppliers.
This isn’t a completely revolutionary concept, and there are actually many hyperscale facilities are already running gas turbines as part of CHP configurations for on-site generation. In most cases, the thermal energy in gas turbine exhaust typically represents 60–70% of the original fuel input; and right now, most of that is being recovered in fairly basic ways.
The pressure question is worth asking though. Can you do more with that exhaust if you treat it as a pressurized working fluid rather than just a heat source? Combined-cycle configurations already do this at utility scale — a gas turbine drivs a generator, the exhaust feeds a heat recovery steam generator, and a steam turbine extracts a second round of power from what would otherwise be waste. Adapting that architecture to the modular, distributed footprint of a data center campus is admittedly a non-trivial challenge, but again – it’s an engineering problem, and not a physics one.
The supply chain secret
This is where the article stops being about engineering and starts being about strategy.
Gas turbine manufacturing is in a bit of a crisis. Global orders at the end of 2025 sat at 110 GW. Global manufacturing capacity sits somewhere between 60 and 70 GW. Lead times have stretched to five years. Prices are up 195% since 2019, heading toward $600/kW by end-2027 on the last published figures I could find.
In 2025 alone, 846 gas turbines were ordered globally, totalling over 100 GW — more than double 2024’s figures. GE Vernova, Siemens Energy, and Mitsubishi are all throwing capital at the problem, but you can’t double turbine manufacturing capacity overnight. Specialized labor shortages, hot-section component bottlenecks, and trade-related cost pressures mean this gap isn’t closing quickly.
Now consider who’s on the demand side of this equation. Hyperscalers spent roughly $364 billion on data center construction in 2025 (Microsoft alone had contracted 34.7 GW of clean power capacity as of late 2025).
These are organizations that think in decades, operate at enormous scale, and have the capital to make long-horizon bets. They’re also currently queueing up for turbines like everyone else; and paying the same inflated prices, waiting the same five years.
To me, this seems like a strange position for companies that have gotten comfortable owning their own undersea cables, designing their own chips, and building their own satellite networks.
It’s probably more of a venture than a vertical integration
Whilst Amazon, Meta, Oracle, Microsoft or Google could becomes a turbine manufacturer, that’s probably not the answer. MY argument is for less of a traditional vertical integration, and more of a venture-style co-investment.
For instance: a hyperscaler puts capital into a new manufacturing facility, or buys a stake in an existing production line expansion, in exchange for preferential capacity and locked-in pricing. The turbine manufacturer gets the capital it needs to grow faster than its balance sheet would allow. And in return, the hyperscaler gets supply chain security in a market where supply chain insecurity is materially affecting its ability to build and operate infrastructure.
It’s worth being specific about what “preferential capacity” actually means in a five-year-lead-time market. If you can jump the queue by two years because you helped fund the line that built your turbines, that’s a real competitive structural advantage.
The aerospace angle matters here too, because the machines best suited to data center applications aren’t conventional utility-scale turbines. Aero-derivative gas turbines, which adapt jet engine technology for ground-based power generation, have been doing this work for over 30 years. They’re lighter, quicker to ramp, and engineered to the kind of precision tolerances that data center operators already understand. Recent advances in blade materials, thermal barrier coatings, and ironically - AI-driven adaptive control systems - have pushed their efficiency and operational flexibility further still.
A co-investment thesis targeting manufacturers working on aero-derivative designs, rather than large-frame utility machines, would be well aligned with the specific operational profile of a data center campus - modular, sclable, and with tighter footprint constraints than a traditional power station.
The Decision That Hasn’t Been Made
The counterargument would be that hyperscalers should “stay in their lane”. Manufacturing is capital-intensive, cyclical, and far from their core competency, which I suppose is a fair point.
But I’d argue the ship has already sailed, and they’re already out of their their lane. They’re signing agreements with fusion startups, restarting nuclear plants, and buying hydroelectric capacity. Turbine manufacturing sits comfortably within the range of strategic bets they’re already placing, but to me the difference is this one has a direct operational payoff. It’s cheaper, and has faster access to the equipment that converts their own waste heat into power. And at a moment when power is the single biggest constraint on their growth.
There’s a real energy loop waiting to be closed. Data centers take in power, generate heat, and pay again for more power. The technology to interrupt that cycle exists; the capital to fund the infrastructure exists; and the supply bottleneck that makes vertical integration strategically attractive exists. What’s missing, so far, is the decision.
TH