Facing America’s rapidly growing AI-driven electricity demand, U.S. capacity expansion is still too slow.
In 2025, U.S. investment in clean energy, clean transportation, building electrification, and carbon management reached $278 billion, a record high. The problem is that, compared with China, this number still looks small. In the same year, China’s investment in clean-tech manufacturing and deployment reached $849 billion, about 3.1 times the U.S. level.
The structural difference is clear: the United States faces a demand curve growing faster than its institutional deployment capacity, while China faces an installation curve growing faster than its system absorption capacity.
The U.S. added 43.4 GW of solar, 24 GW of battery storage, and 11.8 GW of wind in 2025. But China is expanding at a completely different speed. In 2025, China added roughly 315 GW of solar, about 8 times the U.S. level, and around 119 GW of wind, about 10 times the U.S. level.
The United States is clearly seeing a boom in solar and storage construction, but it is still expanding within a relatively constrained institutional speed limit. China, by contrast, has entered an industrial-scale deployment phase in which several hundred gigawatts of new renewable capacity can be added in a single year.
This is the deeper difference. U.S. clean energy expansion is driven mainly by capital markets, state-level incentives, corporate PPAs, and private-sector demand. China’s expansion reflects a much more systemic mobilization: manufacturing capacity, grid investment, local governments, state-owned enterprises, private firms, supply-chain cost reduction, and national energy-security strategy all moving in the same direction.
America’s electricity gap is therefore not just a power-supply gap. It is also a national system-organization gap. The United States has technology, capital, corporate demand, and innovation capacity. But when it tries to convert these advantages into large-scale, low-cost, rapidly deployed infrastructure, it runs into permitting delays, interconnection bottlenecks, interstate coordination problems, transmission constraints, equipment supply-chain shortages, and political-cycle friction.
These are the problems the U.S. needs to solve quickly. Otherwise, if residential electricity prices rise sharply again, data centers and hyperscalers will almost certainly face large-scale political resistance from local communities. That is the biggest risk.
This is an interesting point and I’d add one additional note: you mention corporate PPAs. Tech companies have historically been among the biggest contractors of renewable energy PPAs, resulting in a strange situation where hyperscale data center operators are, on the one hand, driving demand for new gas generation that probably wouldn’t have been built otherwise and contributing to overall upward price pressure, but also providing one of the biggest sustained sources of capex for more renewable generation (particularly as federal support pulls back).
Yes, I think this is the right complication to add.
Tech companies are indeed major buyers of renewable PPAs. Their credit quality, long-term power demand, and capital capacity make it easier for many wind, solar, and storage projects to secure financing. This matters a lot, especially when federal subsidies, tax support, or policy certainty are weakening. Corporate PPAs can become a private-sector anchor for clean energy investment.
But the root tension is that AI data centers need 24/7, low-latency, highly reliable power that can be connected quickly. Wind, solar, transmission, storage, and nuclear all move on much longer construction timelines, and they are constrained by permitting, interconnection queues, transmission bottlenecks, and local politics. As a result, hyperscalers can sign renewable PPAs on one side while also pushing the system to add gas capacity in the short term.
This is not because they are “hypocritical.” It is because the time scale of AI power demand does not match the time scale of power-system expansion.
So this is fundamentally an infrastructure governance problem. The issue is not whether hyperscalers have green commitments. The issue is whether the U.S. can turn the huge new load from AI into a coordinated expansion of clean firm power, transmission, storage, demand response, and grid flexibility.
Otherwise, the result will be fragmented: tech companies support renewables through PPAs, the grid still relies on gas to fill the near-term gap, cost pressure is shifted onto other ratepayers, and system expansion remains poorly coordinated.
Right. Agreed with all this. A couple questions that I’d be curious for your thoughts on.
Do you think the turbine backlog impacts the timeline calculations as far as go-to source substantially, either on the utility or data center side? In the latter case what we’re seeing is repurposing of other equipment (e.g., jet engines) into turbines and then combining that with plans for overcapacity of onsite storage (sometimes 2-3x the generating capacity of the gas) to maintain reliability/uptime requirements when using the Jerry-rigged gas builds.
On the utility side it seems to me like trying to speed interconnection of the large amounts of solar in the queue and then firming with storage would make more sense, speed-wise, than new turbines but the degree to which that’s being pursued seems to vary. You see a lot more of it in ERCOT vs PJM, and I suspect this has to do with the respective regulations/cost recovery models in the different regions.
Beyond PPAs it seems like the hyperscalers are each kind of pursuing their own model for speed to power right now (with Google out on one pole as far as leaning way in on renewables + long-duration storage or geothermal wells etc, xAI on the other pole with whatever gas they can get their hands on, and the others somewhere in the middle). Do you think this will last or do you think it’s likelier they converge on the same model before long?
And the current dispersion in hyperscaler strategies is unlikely to remain as fragmented as it is today over the long run, but neither are they likely to converge on a single uniform model. What seems more likely is a kind of limited convergence. In the near term, each company will continue to pursue a different mix depending on project location, state-level regulation, interconnection timing, corporate ESG constraints, and tolerance for higher capital or operating costs.
Over the medium term, they will probably begin to converge around the same broad framework: first secure speed to power, then gradually fold temporary gas, backup generation, and onsite storage into a more standardized hybrid architecture.
In other words, the end state is unlikely to be a purely Google-style clean firming model, but it is also unlikely to become an xAI-style “whatever gas you can get” approach across the board. The more plausible outcome is some combination of grid access, renewables PPAs, storage, and a certain amount of dispatchable thermal or firm clean resource, with the weighting varying by company.
Turbine backlogs will materially weaken gas as a universal fast-answer solution, but they will not eliminate gas’s appeal in specific local use cases. My sense is that for data center projects that genuinely require 24/7 uptime and are willing to pay a high premium for speed to power — especially those able to pursue onsite generation and tolerate higher costs — aeroderivatives, repurposed equipment, and temporary gas builds will continue to play a role. Cases like xAI may be extreme, but they show that under severe time constraints, the market will accept a system that is inelegant but functional.
At the same time, the longer turbine backlogs persist, the more utility-scale projects — and even some data-center-side projects — will be pushed toward a hybrid model built around solar, storage, grid access, and selective firming. Once new gas turbine delivery is no longer fast enough to dominate every other consideration, the speed advantage of solar and storage becomes much more attractive, especially in market structures like ERCOT. In other words, turbine scarcity itself may end up strengthening the relative competitiveness of renewables plus storage in certain regions.
Thanks—that’s basically my sense too, fwiw. I think the BTM builds will trend toward some mix of gas/storage/solar (or other fast-to-build onsite source) and will also be geared toward eventual interconnection in a majority of gases vs permanent islanding.
Great piece Joey. Something related I’m watching is whether there will be any impact to utility or grid operator planning from the deployment of substantial 4-8 hour battery capacity data centers becoming nearly universal, which is something that both energy analysts and DC operators told me they are seeing in new projects this year (for reasons including management of facility level power fluctuations and providing excess backup for BTM power, including gas turbines). Combine this with the proliferation of demand response programs, some of them mandatory, and potential forthcoming NERC guidance that DCs should “ride through” grid disturbances rather than islanding and you soon have a large source of storage available to the grid beyond what utilities are building. I have no idea whether this will impact utility planning or, if so, how, but it seems worth watching. I’d be curious for your thoughts.
I'd be interested in hearing about legalized plug-in solar. Germany has it and it's helped reduce stress on that nation's power grid. It lowers the knowledge barrier to solar access: if you can plug an appliance into an electrical outlet, you can use plug-in solar.
Solar panels windmills are fairy tales of the UN and unreliable power. Our books are on Amazon just search Climate Crisis Changed. We are thrilled to share some exciting news with you! As a thank you for your generous support, we invite you to download and read Chapter 13 of our latest book free at cctruth.org! globalchange.gov was shutdown because of our 35 PhD review of the IPCC reports which are deliberate science fiction. It’s a great resource, and we encourage you to share it with your like-minded friends who are also passionate about making a difference in the fight against climate change. Moreover, remember that any donations you make are tax deductible, so you can feel good about giving! NetzeroCO2e equals only 8.6 billion tons of photosynthesis left in the world. Plant trees is the only way to lower CO2. CO2 is plant food and only a 9% effect greenhouse gas. Climate Change is about Fear mongering and removal of people from the earth and has been completely debunked.
Sustainability is an untruthful statement of the UN.
Dave White also debunked the false idea that rolling coal (black smoke from diesel trucks) causes any health issue. The fake studies were done in China with air 50X more polluted than anywhere in the USA https://cctruth.org/Junk_science_about_fine_particles_and_health.pdf
EPA cant regulate Greenhouse gases because they are not toxic.
Facing America’s rapidly growing AI-driven electricity demand, U.S. capacity expansion is still too slow.
In 2025, U.S. investment in clean energy, clean transportation, building electrification, and carbon management reached $278 billion, a record high. The problem is that, compared with China, this number still looks small. In the same year, China’s investment in clean-tech manufacturing and deployment reached $849 billion, about 3.1 times the U.S. level.
The structural difference is clear: the United States faces a demand curve growing faster than its institutional deployment capacity, while China faces an installation curve growing faster than its system absorption capacity.
The U.S. added 43.4 GW of solar, 24 GW of battery storage, and 11.8 GW of wind in 2025. But China is expanding at a completely different speed. In 2025, China added roughly 315 GW of solar, about 8 times the U.S. level, and around 119 GW of wind, about 10 times the U.S. level.
The United States is clearly seeing a boom in solar and storage construction, but it is still expanding within a relatively constrained institutional speed limit. China, by contrast, has entered an industrial-scale deployment phase in which several hundred gigawatts of new renewable capacity can be added in a single year.
This is the deeper difference. U.S. clean energy expansion is driven mainly by capital markets, state-level incentives, corporate PPAs, and private-sector demand. China’s expansion reflects a much more systemic mobilization: manufacturing capacity, grid investment, local governments, state-owned enterprises, private firms, supply-chain cost reduction, and national energy-security strategy all moving in the same direction.
America’s electricity gap is therefore not just a power-supply gap. It is also a national system-organization gap. The United States has technology, capital, corporate demand, and innovation capacity. But when it tries to convert these advantages into large-scale, low-cost, rapidly deployed infrastructure, it runs into permitting delays, interconnection bottlenecks, interstate coordination problems, transmission constraints, equipment supply-chain shortages, and political-cycle friction.
These are the problems the U.S. needs to solve quickly. Otherwise, if residential electricity prices rise sharply again, data centers and hyperscalers will almost certainly face large-scale political resistance from local communities. That is the biggest risk.
This is an interesting point and I’d add one additional note: you mention corporate PPAs. Tech companies have historically been among the biggest contractors of renewable energy PPAs, resulting in a strange situation where hyperscale data center operators are, on the one hand, driving demand for new gas generation that probably wouldn’t have been built otherwise and contributing to overall upward price pressure, but also providing one of the biggest sustained sources of capex for more renewable generation (particularly as federal support pulls back).
Yes, I think this is the right complication to add.
Tech companies are indeed major buyers of renewable PPAs. Their credit quality, long-term power demand, and capital capacity make it easier for many wind, solar, and storage projects to secure financing. This matters a lot, especially when federal subsidies, tax support, or policy certainty are weakening. Corporate PPAs can become a private-sector anchor for clean energy investment.
But the root tension is that AI data centers need 24/7, low-latency, highly reliable power that can be connected quickly. Wind, solar, transmission, storage, and nuclear all move on much longer construction timelines, and they are constrained by permitting, interconnection queues, transmission bottlenecks, and local politics. As a result, hyperscalers can sign renewable PPAs on one side while also pushing the system to add gas capacity in the short term.
This is not because they are “hypocritical.” It is because the time scale of AI power demand does not match the time scale of power-system expansion.
So this is fundamentally an infrastructure governance problem. The issue is not whether hyperscalers have green commitments. The issue is whether the U.S. can turn the huge new load from AI into a coordinated expansion of clean firm power, transmission, storage, demand response, and grid flexibility.
Otherwise, the result will be fragmented: tech companies support renewables through PPAs, the grid still relies on gas to fill the near-term gap, cost pressure is shifted onto other ratepayers, and system expansion remains poorly coordinated.
Right. Agreed with all this. A couple questions that I’d be curious for your thoughts on.
Do you think the turbine backlog impacts the timeline calculations as far as go-to source substantially, either on the utility or data center side? In the latter case what we’re seeing is repurposing of other equipment (e.g., jet engines) into turbines and then combining that with plans for overcapacity of onsite storage (sometimes 2-3x the generating capacity of the gas) to maintain reliability/uptime requirements when using the Jerry-rigged gas builds.
On the utility side it seems to me like trying to speed interconnection of the large amounts of solar in the queue and then firming with storage would make more sense, speed-wise, than new turbines but the degree to which that’s being pursued seems to vary. You see a lot more of it in ERCOT vs PJM, and I suspect this has to do with the respective regulations/cost recovery models in the different regions.
Beyond PPAs it seems like the hyperscalers are each kind of pursuing their own model for speed to power right now (with Google out on one pole as far as leaning way in on renewables + long-duration storage or geothermal wells etc, xAI on the other pole with whatever gas they can get their hands on, and the others somewhere in the middle). Do you think this will last or do you think it’s likelier they converge on the same model before long?
And the current dispersion in hyperscaler strategies is unlikely to remain as fragmented as it is today over the long run, but neither are they likely to converge on a single uniform model. What seems more likely is a kind of limited convergence. In the near term, each company will continue to pursue a different mix depending on project location, state-level regulation, interconnection timing, corporate ESG constraints, and tolerance for higher capital or operating costs.
Over the medium term, they will probably begin to converge around the same broad framework: first secure speed to power, then gradually fold temporary gas, backup generation, and onsite storage into a more standardized hybrid architecture.
In other words, the end state is unlikely to be a purely Google-style clean firming model, but it is also unlikely to become an xAI-style “whatever gas you can get” approach across the board. The more plausible outcome is some combination of grid access, renewables PPAs, storage, and a certain amount of dispatchable thermal or firm clean resource, with the weighting varying by company.
Turbine backlogs will materially weaken gas as a universal fast-answer solution, but they will not eliminate gas’s appeal in specific local use cases. My sense is that for data center projects that genuinely require 24/7 uptime and are willing to pay a high premium for speed to power — especially those able to pursue onsite generation and tolerate higher costs — aeroderivatives, repurposed equipment, and temporary gas builds will continue to play a role. Cases like xAI may be extreme, but they show that under severe time constraints, the market will accept a system that is inelegant but functional.
At the same time, the longer turbine backlogs persist, the more utility-scale projects — and even some data-center-side projects — will be pushed toward a hybrid model built around solar, storage, grid access, and selective firming. Once new gas turbine delivery is no longer fast enough to dominate every other consideration, the speed advantage of solar and storage becomes much more attractive, especially in market structures like ERCOT. In other words, turbine scarcity itself may end up strengthening the relative competitiveness of renewables plus storage in certain regions.
Thanks—that’s basically my sense too, fwiw. I think the BTM builds will trend toward some mix of gas/storage/solar (or other fast-to-build onsite source) and will also be geared toward eventual interconnection in a majority of gases vs permanent islanding.
Legalize plug-in solar as Germany has done. Ease the grid stress!
Great piece Joey. Something related I’m watching is whether there will be any impact to utility or grid operator planning from the deployment of substantial 4-8 hour battery capacity data centers becoming nearly universal, which is something that both energy analysts and DC operators told me they are seeing in new projects this year (for reasons including management of facility level power fluctuations and providing excess backup for BTM power, including gas turbines). Combine this with the proliferation of demand response programs, some of them mandatory, and potential forthcoming NERC guidance that DCs should “ride through” grid disturbances rather than islanding and you soon have a large source of storage available to the grid beyond what utilities are building. I have no idea whether this will impact utility planning or, if so, how, but it seems worth watching. I’d be curious for your thoughts.
I'd be interested in hearing about legalized plug-in solar. Germany has it and it's helped reduce stress on that nation's power grid. It lowers the knowledge barrier to solar access: if you can plug an appliance into an electrical outlet, you can use plug-in solar.
Solar panels windmills are fairy tales of the UN and unreliable power. Our books are on Amazon just search Climate Crisis Changed. We are thrilled to share some exciting news with you! As a thank you for your generous support, we invite you to download and read Chapter 13 of our latest book free at cctruth.org! globalchange.gov was shutdown because of our 35 PhD review of the IPCC reports which are deliberate science fiction. It’s a great resource, and we encourage you to share it with your like-minded friends who are also passionate about making a difference in the fight against climate change. Moreover, remember that any donations you make are tax deductible, so you can feel good about giving! NetzeroCO2e equals only 8.6 billion tons of photosynthesis left in the world. Plant trees is the only way to lower CO2. CO2 is plant food and only a 9% effect greenhouse gas. Climate Change is about Fear mongering and removal of people from the earth and has been completely debunked.
No to gas tax increase. Cctruth.org
Solar Panels and Windmills are not the solution https://www.youtube.com/watch?v=JYHX-Ib3Q5Q
Sustainability is an untruthful statement of the UN.
Dave White also debunked the false idea that rolling coal (black smoke from diesel trucks) causes any health issue. The fake studies were done in China with air 50X more polluted than anywhere in the USA https://cctruth.org/Junk_science_about_fine_particles_and_health.pdf
EPA cant regulate Greenhouse gases because they are not toxic.
https://thelawisyourattorney.com/loper-bright-enterprises
/https://thelawisyourattorney.com/epa-cant-regulate-greenhouse-gases/cctruth.org greenhouse gas page measured data.
What a crock of nonsense.
lol what is this gibberish
we are scientists who follow the data with no other agenda. cctruth.org