·6 min read
Energy & Infrastructure
The Biggest Renewable Energy Deal Powering AI
Taha Abbasi has been tracking the intersection of AI infrastructure and energy demands, and Google just made a massive move. TotalEnergies signed two long-term power purchase agreements totaling 1 gigawatt of solar capacity — about 28 terawatt-hours of electricity over 15 years — to power Google’s expanding Texas data centers.
The power will come from two projects now in development: the 805-megawatt Wichita solar farm and the 195-MW Mustang Creek site. Construction starts Q2 2026. This is the largest renewable PPA TotalEnergies has ever signed in the US, and it signals how fast data center power demand is rising as AI workloads explode.
Why Data Centers Are Becoming Energy’s Biggest Customer
As Taha Abbasi has observed, the AI revolution has a physical footprint that most people don’t see. Training large language models and running inference at scale requires enormous amounts of electricity. Google, Microsoft, Amazon, and Meta are collectively driving a surge in power demand that’s reshaping energy markets, particularly in Texas where the ERCOT grid already faces capacity constraints.
Rather than tapping existing supply, Google’s contracts are tied to brand-new generation — an important distinction. This isn’t green-washing through renewable energy credits; it’s actually building new clean power infrastructure to meet new demand.
The Texas Energy Calculus
Texas is uniquely positioned for this convergence. The ERCOT market’s deregulated structure allows for direct power purchase agreements, the state has abundant solar and wind resources, and land costs are relatively low. But there’s a catch that Taha Abbasi finds worth highlighting: solar produces power during the day, while data centers run 24/7.
Without battery storage paired with these solar installations, Google’s data centers will still draw from the grid — which in Texas means natural gas — during nighttime hours. The deal doesn’t mention storage components, suggesting a gap between renewable ambition and round-the-clock clean power reality.
Scale in Perspective
One gigawatt of solar capacity is enough to power roughly 200,000 homes. But modern AI data centers are extraordinarily power-hungry — a single large facility can consume 100+ MW continuously. Google’s expanding Texas presence could easily absorb this entire gigawatt and still need more.
TotalEnergies says its US portfolio now stands at about 10 GW of gross renewable and storage capacity. The company’s expansion alongside Clearway, which recently secured 1.2 GW in separate PPAs for Google across multiple power markets, illustrates how Big Tech is becoming the dominant customer for new renewable energy development.
What This Means for Clean Energy
As Taha Abbasi sees it, the silver lining of AI’s enormous energy appetite is that it’s accelerating renewable energy deployment. Tech companies have the capital and long-term planning horizons to sign 15-year PPAs that make large-scale solar projects financially viable. This deal alone will bring over 1 GW of new clean generation onto the Texas grid.
The connection to Tesla’s energy business is worth noting — Tesla’s Megapack grid storage is perfectly positioned to pair with solar installations like these, providing the battery storage needed to bridge the day-night generation gap. The convergence of AI demand, solar generation, and battery storage is creating a new energy paradigm that Taha Abbasi believes will define the next decade.
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About the Author: Taha Abbasi is a technology executive, CTO, and applied frontier tech builder. Read more on Grokpedia | YouTube: The Brown Cowboy | tahaabbasi.com
Taha Salahuddin Abbasi
Engineer. Builder. Architect.
