AI Data Centres Are Reviving the Gas-Turbine Industry—and Siemens Energy Just Had a Record Quarter

The artificial-intelligence boom is reviving an industrial technology many people expected to decline:
The gas turbine.
Siemens Energy has reported record quarterly sales, margins and orders as data-centre operators search for enough reliable electricity to power rapidly expanding AI infrastructure.
The company’s third-quarter sales increased 18.5% to €11.45 billion, while profit before special items more than tripled to €1.62 billion.
Customers operating US data centres and power projects in the Middle East accounted for approximately half of the company’s new gas-turbine orders during the quarter. �
Reuters
Why AI Needs So Much Power
Training and operating advanced AI models requires large groups of specialised processors.
These chips consume substantial amounts of electricity and generate intense heat.
A data centre must power:
Computing processors
Memory and storage
Cooling systems
Networking equipment
Backup systems
Security infrastructure
The demand continues around the clock.
Unlike an ordinary office building, a frontier AI facility cannot simply switch off during periods of low renewable-energy production.
Companies therefore seek electricity sources capable of providing stable, continuous power.
Why Gas Is Returning
Technology firms frequently announce commitments to renewable energy and carbon reduction.
However, wind and solar production vary with weather and time of day.
Batteries can store electricity, but the capacity required for enormous data centres remains expensive.
Gas-fired power plants can be built more quickly than many nuclear facilities and can provide dependable electricity when renewable generation falls.
This makes gas attractive as a bridge or backup source—even though it still produces greenhouse-gas emissions.
AI’s demand for reliability is therefore creating an uncomfortable contradiction.
The technology industry promises a more intelligent future while increasing near-term demand for fossil-fuel infrastructure.
Siemens Energy’s Unexpected Comeback
Siemens Energy produces gas and wind turbines, grid equipment, converter stations and other infrastructure.
Its shares have risen nearly sevenfold over two years as demand for power-generation equipment has increased.
Even Siemens Gamesa, the wind division that had struggled for years, recorded its first quarterly operating profit in almost four years. �
Reuters
The company now expects to reach the upper end of its annual profit-margin target.
AI did not invent the energy transition.
It accelerated the urgency.
Why the Story Is Viral
Chatbots appear weightless.
This story reveals the heavy machinery behind them.
Every answer generated by AI requires physical systems somewhere in the world.
Those systems consume energy from grids already facing pressure from homes, transport, industry and climate change.
The AI race is becoming an electricity race.
The companies capable of producing turbines, transformers, cables and cooling systems may become as strategically important as model laboratories.
Who Should Pay?
Communities are increasingly concerned that data centres may raise electricity prices or consume infrastructure originally built for residents and ordinary businesses.
Governments and utilities must decide:
Should data centres fund new power plants?
Should households absorb grid-upgrade costs?
Must AI companies supply their own generation?
How should emissions be measured?
Should projects be delayed when local capacity is inadequate?
Without careful policy, the private AI boom may become a public energy bill.
Mary Chuks’ Perspective
AI is a scaler—but it scales whatever sits underneath it.
If the electricity system is clean, AI scales clean computing.
If the system depends on gas, AI scales gas demand.
The model does not choose the energy source.
Humans and markets do.
This is why Practical AI must include practical infrastructure.
You cannot promote intelligence at the top while ignoring the power station keeping it alive.
Practical Takeaways
Governments and companies should:
Require transparent energy forecasts from data-centre projects.
Make operators fund necessary grid upgrades.
Invest in storage, nuclear and renewable capacity.
Reuse data-centre heat where practical.
Measure emissions across the full AI supply chain.
Protect households from unfair cost increases.
Conclusion
Siemens Energy’s record quarter shows that the AI boom is transforming industries far beyond software.
The future may run on advanced models.
For now, many of those models are still being powered by very traditional turbines.
Original Sources and Further Reading
Reuters reported record sales, orders and margins at Siemens Energy, driven partly by US AI data centres and power demand in the Middle East. �
Reuters