Lead story
The future needs power. Are your assets ready?
How optimizing existing assets is helping fleets keep pace with rising demand.
Why existing assets hold the key to an AI‑driven world
Global power demand is climbing at a pace few expected.
According to the IEA, demand is set to rise by 3.7% in 2026 - more than double the pace of overall energy‑demand growth. While slightly lower than the 4.4% surge seen in 2024 and the prediction of 3.3% for 2025, it remains well above the 2015–2023 average of 2.6%.
Fueled by the explosive growth of AI, unprecedented data‑center expansion, and rapid electrification across industries, the world’s energy systems are being pushed harder than ever.
One of the biggest pressures? New power units now take upwards of three years to deliver —far too slow for operators under pressure to increase output today.
Operators needing capacity fast are turning to a more practical option. And increasingly, that means enhancing the assets they already own.
As a result, organizations are increasingly turning to a more immediate, practical pathway: unlocking more performance, efficiency, and reliability from their existing asset base.
Extending life, accelerating value
Life extension, refurbishment, and targeted optimization are becoming essential tools. Existing assets can be upgraded and returned to service far more quickly than waiting for OEM timelines - and at a far more efficient cost.
That momentum aligns with a broader industry shift. The gas turbine service market is projected to reach USD 54.6 billion by 2035, growing at a CAGR of 8.8%. Steady year‑on‑year increases to USD 27.8 billion by 2027 and USD 35.8 billion by 2030. This underscores the strong and sustained demand for life‑extension, maintenance, repair and overhaul services.
Growth accelerates even further from 2031 onward, powered by aging fleets, efficiency requirements and expanding aftermarket opportunities.
The rise of predictive analytics
EthosEnergy keeps watch over roughly 40 gigawatts of power worldwide through its remote diagnostics network.
The team monitors turbine and balance-of-plant data and feeds it into predictive models that surface early warning signs – often well before they show up in day-to-day performance, giving operators far more room to act.
With clearer visibility, operators reduce maintenance uncertainty and strengthen reliability – all while keeping fleets available during demand spikes.
How AI is changing the map
AI companies are approaching EthosEnergy with a new kind of request. They want faster access to high‑density power.
Some operators are even creating “electrical islands,” repurposing 50 Hz equipment into 60 Hz markets to bring capacity online quickly.
It’s a sign of how rapidly the landscape is shifting, and why existing assets are quickly becoming a more strategic advantage.
Read the full blog article for insights from EthosEnergy CEO Ana Amicarella.
