AI Power Disruption Complete Analysis Series
The Present: Part 5 | The Future of Energy Transition in the Age of AI
Part 1: The Reality of AI Power Demand Spikes
Part 2: The AI Data Center Power Infrastructure Crisis
Part 3: Energy strategies for big tech companies
Part 4: Analyzing Small Modular Reactor (SMR) Technology and Infrastructure
AI Eats Electricity? ‘Electricity' Becomes More Precious than Nvidia
🔮 The Future of Energy Transition in the Age of AI Key Takeaways
✅ Short-term (1-3 years): Power shortages delay some AI projects, focus on optimizing existing infrastructure
✅ Medium-term (3-5 years): First commercialization of SMRs (2029), large-scale deployment of ESS to ensure renewable energy reliability.
✅ Long-term (5-10 years): Reshaping the energy mix, improving AI chip efficiency by 10x or more to reach supply-demand balance
✅ BlackRock: “Infrastructure Makes More Money Than AI” - Spotlighting pickaxe and shovel strategies in power grids, nuclear, copper, etc.
✅ $720 billion in grid investments by 2030, with a paradigm shift toward a nuclear renaissance
This is the final installment in our series on the AI power struggle. In the previous parts 1-4, we looked at the AI Power Demand Surge, Infrastructure Bottlenecks, Big Tech Energy Strategy, SMR Technologyto synthesize the How the energy industry will be reshaped over the next decade The outlook. Drawing on analysis from global organizations such as BlackRock, Goldman Sachs, and the IEA, we've developed a Short-term, medium-term, and long-term scenariosand the key areas the market is focusing on.
Short-term outlook: 2025 to 2028
The next three years will be a time when the AI industry and power infrastructure When tensions are highestin the near term. New power plants and transmission grids take at least five to seven years to build, so in the short term, we can only rely on optimizing and improving the efficiency of existing infrastructure. We expect some AI projects to be delayed or relocated due to power availability issues.
1AI project delays due to power shortages
Data center hubs in Northern Virginia and elsewhere are already using the Up to 7 years of power connection latencyin the United States. In xAI's case, Memphis, Tennessee, couldn't wait to get connected to the grid, so they used the Run your own gas turbine generatorThis phenomenon is expected to intensify by 2028.
| Separation | 2025 | 2026 | 2027-28 |
|---|---|---|---|
| Power availability | Tension | Critical | Peak |
| Estimated shortages | 20 GW | 30 GW | 40 GW |
| Key countermeasures | Efficiency, expansion of existing plants | Nuclear restarts, PPAs expand | New gas-fired, self-generation |
| AI project impact | Some delays | Multiple delays | Selective progression |
💡 Key takeawaysThe U.S. needs 44 GW by 2028, but only 25 GW is available, a projected shortfall of about 401 TP3T
📊 NoteSource: CNBC, Goldman Sachs, and The Washington Post combined (as of December 2025)
2Short-term solution: Optimize existing infrastructure
With new power plants hard to come by, big tech companies are turning to Maximize the use of existing infrastructureand optimizing data center cooling. Examples include Microsoft's deal to restart the Three Mile Nuclear Power Plant (an exclusive purchase of power for 20 years) and Amazon's purchase of a data center site near a nuclear power plant. There are also efforts to improve the power efficiency of AI chips and optimize data center cooling systems to perform more computations with the same amount of power.
⚡ Supply-side response
- Restarting a decommissioned nuclear power plant: Three Mile, Palisades, etc.
- Expanding an existing power plant: Installing additional gas turbines
- Long-term PPA agreements: Pre-purchase renewable energy
- Distributed generation: On-site self-generation facilities
💡 Demand-side response
- AI chip efficiency: Nvidia Blackwell 30% Efficiency Improvements
- Introducing liquid cooling: 401 TP3T cooling energy savings
- Optimize workloads: Handling peak time variance
- Geo-distribution: Move to a power free zone
Medium-term outlook: 2028 to 2030
Starting in 2028, the New technologies enter the marketto begin. The first commercial power generation from small modular reactors (SMRs), the introduction of large-scale energy storage (ESS), and next-generation renewable energy technologies are expected to help alleviate the shortage. However, even during this period, demand growth will outpace supply, making it difficult to completely eliminate the shortage.
3First commercialization of a small modular reactor (SMR)
Bill Gates' TerraPower is First SMR in operation in Wyoming in 2030in the United States. NuScale has already received U.S. Nuclear Regulatory Commission (NRC) approval and has projects underway overseas, including in Romania and Poland. SMRs have the advantage of a shorter construction time (3-5 years) than traditional large nuclear power plants, lower costs due to modular construction, and the ability to be installed near data centers.
| Enterprise/Projects | Commercialization expectations | Capacity | Featured Partners |
|---|---|---|---|
| TerraPower | The year 2030 | 345 MW | Bill Gates, SK Group |
| NewScale | 2029 | 77 MW×12 | UAMPS, Romania |
| X-energy | The year 2030 | 80MW×4 | Dow Chemical, Amazon |
| Kairospower | The year 2030 | 75 MW |
💡 Key takeaways: SMR can be used as a dedicated power source for data centers, providing reliable, carbon-free power around the clock
📊 NoteSource: IEA, World Nuclear Association, and compilation of publications from each company (as of December 2025)
4Large-scale adoption of energy storage (ESS)
To address the intermittency of renewable energy sources such as solar and wind, the Accelerate large-scale ESS adoptionis happening. Tesla's Megapack is already operating at scale in California, Texas, and elsewhere, and by 2030 the global ESS market is expected to reach Grow to more than 5x your current sizein the future. ESSs can store solar power generated during the day to supply data centers at night, or they can help distribute power demand during peak hours.
💡 â Technology advancements: In addition to lithium-ion batteries, next-generation ESS technologies such as sodium-ion, all-solid-state, and redox flow batteries are developing rapidly. In particular, China's CATL has begun mass production of sodium-ion batteries, and Toyota aims to commercialize all-solid-state batteries in 2027.
Long-term outlook: 2030 to 2035
After 2030, the Radically reshaping the energy mixis expected to be achieved. The full-scale proliferation of SMRs, the experimental introduction of nuclear fusion technology, and the dramatic improvement in the efficiency of AI chips will likely combine to reach a point of equilibrium between supply and demand, creating a virtuous cycle in which AI technology itself contributes to grid optimization and energy efficiency.
5Energy mix reshuffle scenarios
According to an analysis by the IEA and Goldman Sachs, data center power sources in 2035 will look very different from today. Nuclear (including SMRs) share increases to 251 TP3T from the current 81 TP3TThe renewables+ESS combination accounts for 401 TP3T, while natural gas is expected to decline to 301 TP3T. Big tech companies' carbon neutrality targets (Google 2030, Microsoft 2030, Amazon 2040) in particular are accelerating nuclear and renewable energy investments.
| Energy sources | 2024 | The year 2030 | 2035 |
|---|---|---|---|
| Nuclear (including SMR) | 8% | 15% | 25% |
| Renewables+ESS | 20% | 32% | 40% |
| Natural Gas | 55% | 42% | 30% |
| Coal | 12% | 6% | 2% |
| Other (hydrogen, nuclear fusion, etc.) | 5% | 5% | 3% |
6AI chip efficiency stabilizes demand
Advances in hardware technology are also an important variable. According to Nvidia's roadmap AI chips will be 10x more energy efficient than today by 2030in the coming years. Blackwell GPUs released in 2025 reduced energy consumption per operation by 301 TP3T compared to the previous generation, and this trend is set to continue. In addition, the development of their own AI chips, such as Google's TPU and Amazon's Trainium, is accelerating the power efficiency race.
🔋 Advances in streamlining technology
- Chip architecture: 3nm → 2nm → 1.4nm process transition
- Cooling Technologies: Standardizing Liquid Cooling Saves 401 TP3T
- AI optimization: Model lightweighting, quantization techniques
- Power management: Advanced Dynamic Power Throttling
📈 Expected effect
- 2027: 501 TP3T energy savings per operation
- The year 2030: 801 TP3T energy savings per operation
- Real-world effects: Slower demand growth
- Long-term outlook: Reaching supply-demand equilibrium
Key areas of market focus
BlackRock, the world's largest asset manager, came up with an interesting analysis. “It's like the guy who sold ‘pickaxes and shovels” made more money than the guy who panned for gold during the Gold Rush."This means that companies that create AI models are more likely to use the Sectors that provide infrastructurewill benefit more.
7BlackRock's focus on infrastructure
BlackRock and Goldman Sachs have three areas of common focus. First, Grid infrastructureby 2030. By 2030, $720 billion will be invested to replace aging wires, supply transformers, and build smart grids. Second, Nuclear and clean energy. These include SMR developers, uranium producers, and renewable energy companies. Third, Core commoditiesin the world. Demand for copper for wires, lithium-nickel for batteries, and more is skyrocketing.
| Fields | Key areas | Market Outlook to 2030 | Growth drivers |
|---|---|---|---|
| Power grid | Transformers, transmission lines, and smart grids | 720 billion invested | Replacing aging infrastructure, AI demand |
| Nuclear power | SMRs, uranium, and nuclear fuel | 151 TP3T annual growth | Carbon neutral, reliable supply |
| Commodities | Copper, lithium, nickel, rare earths | Copper demand doubles | Electrification, battery demand |
| ESS | High-capacity battery, power management | 5x growth | Scaling up renewables, managing peaks |
💡 Key takeaways: “Pickaxe and Shovel Strategy” - Infrastructure Investment May Be More Stable Than AI Direct Investment
📊 Note: BlackRock, Goldman Sachs, IEA combined (as of December 2025)
8A nuclear renaissance and paradigm shift
The nuclear power industry, which has been in a slump since the Fukushima disaster, has been revitalized by the A ‘renaissance' in the age of AIare doing just that. Big tech companies like Microsoft, Google, and Amazon are signing nuclear deals, and governments are rethinking their nuclear policies. The U.S. is restarting retired reactors, Japan is accelerating nuclear restarts, and the U.K. is building new reactors. It's not just about securing power. Energy security and the question of technological sovereigntyand is being recognized as such.
💡 â Paradigm shiftBig tech companies that used to be “green” are going back to nuclear power. This is because renewables like solar and wind can't keep up with data centers that run 24/7. It's a realistic compromise between climate change action and energy security.
Series Conclusion
As we've seen throughout the AI power struggle series, Energy transition in the AI era is a complex systems shift, not just a technology problemis the answer. The explosive growth of AI on the demand side and infrastructure bottlenecks and technology limitations on the supply side are colliding. While tensions will persist in the short term, we expect to see a gradual balance over the medium to long term as new technologies such as SMRs, ESS, and next-generation semiconductors are introduced.
Energy Transition Key Points in the Age of AI
✅ Short-term (1-3 years): Increasing power shortages, focus on optimizing and streamlining existing infrastructure
✅ Mid-term (3-5 years): First commercialization of SMRs, incremental improvements with large-scale adoption of ESS
✅ Long-term (5-10 years): Reshaping energy mix, AI chip efficiency to balance supply and demand
✅ Key sectors: power grid, nuclear, key commodities (copper, lithium) infrastructure in focus
✅ Paradigm Shift: Green Isn't Enough, Nuclear Renaissance Is Coming
This article is based on the For objective informational and educational purposesand was written by AI Power. This is an analysis of the AI power market and the energy industry and is not a recommendation to invest in any specific company or asset.
AI technology and the energy industry are Change fastin the United States. The data and projections in this article are current at the time of writing, and actual results may vary. For the most up-to-date information, please check with official sources.
