AI's Energy Thirst: What Rising Demand Means for Your Power Bill

New data reveals how AI and data centers are rapidly increasing electricity consumption, potentially impacting household costs.

A new survey indicates consumer concern over AI's energy demands driving up electricity prices. Data centers currently consume 4% of US electricity, projected to rise significantly by 2028. This surge is outpacing some energy generation efforts, raising questions about future energy costs.

Sarah Kline

By Sarah Kline

November 2, 2025

4 min read

AI's Energy Thirst: What Rising Demand Means for Your Power Bill

Key Facts

  • Data centers currently consume 4% of US electricity, more than double their 2018 share.
  • By 2028, data center electricity consumption is forecasted to rise to 6.7% to 12%.
  • Renewables (solar, wind) have met recent demand increases but face potential policy setbacks.
  • Natural gas, favored by data centers, has not met new supply needs, and new plants take around three years to build.
  • Consumers are concerned that AI's energy demands will increase electricity prices.

Why You Care

Ever wonder what powers the AI tools you use daily? Your electricity bill might soon tell a new story. A recent survey highlights growing consumer worry that the AI boom could increase your power costs. This isn’t just about big tech; it’s about the energy grid supplying your home. What if the AI revolution comes with a hidden price tag for your wallet?

What Actually Happened

Tech companies are planning many new data centers, according to the announcement. These facilities are the backbone of artificial intelligence (AI) operations. Consumers are increasingly concerned about this AI-driven expansion. They worry it will ultimately drive up the price they pay for electricity, the research shows. Electricity demand in the United States remained stable for over a decade. However, this trend is now changing significantly. Data centers currently consume about 4% of the electricity generated in the United States. This is more than double their share from 2018, the study finds. By 2028, consumption is forecasted to rise dramatically. It could reach between 6.7% and 12%, as detailed in the blog post. This rapid increase is putting AI and data centers in the crosshairs.

Why This Matters to You

This surge in energy demand has direct implications for your daily life. Imagine your smart home devices, streaming services, and AI assistants all drawing more power from the grid. This increased demand can strain existing infrastructure. Generation has managed to meet demand so far, thanks to new capacity. This includes solar, wind, and grid-scale battery storage, the company reports. Big tech companies are securing large deals for utility-scale solar. They are attracted by its low cost, modularity, and speed to power, the team revealed. Solar farms can start delivering power before they are even fully completed. A new project typically takes around 18 months to finish, the documentation indicates.

Consider these key impacts:

  • Higher Utility Bills: Increased demand can lead to higher electricity prices for consumers.
  • Infrastructure Strain: The existing power grid may struggle to keep up with rapid growth.
  • Renewable Energy Push: More investment in solar and wind is needed to meet demand.
  • Policy Decisions: Government policies, like the Inflation Reduction Act, play a crucial role.

For example, think about your monthly energy statement. If the cost per kilowatt-hour rises, your overall bill goes up. This happens even if your personal consumption stays the same. How prepared is your local utility for this growing demand? “Consumers’ concerns aren’t unfounded,” the article states, highlighting the validity of public worries. It’s a situation that requires careful monitoring and proactive solutions.

The Surprising Finding

Here’s an interesting twist: while renewables have been crucial, their future growth faces headwinds. The EIA expects renewables to dominate new generating capacity through at least the next year, according to the announcement. However, experts predict a Republican repeal of key parts of the Inflation Reduction Act. This action will likely hamper the growth of renewables, the paper states. Meanwhile, natural gas, another energy source favored by data center operators, hasn’t kept pace. Production has been rising, but most new supplies have gone elsewhere. New natural gas power plants also won’t be ready quickly enough. They take around three years to build, creating a significant delay. This combination of kneecapped renewables and slow natural gas buildouts puts data center developers in a bind. It challenges the assumption that energy supply will simply keep up with AI’s accelerating needs.

What Happens Next

The coming months will be essential for energy policy and infrastructure creation. We could see increased pressure on utilities to accelerate new energy projects. This includes both renewable and traditional sources. For example, imagine a large tech company building a new data center. They might face delays or higher costs for power connections. This could impact when new AI services become available to you. What’s more, consumers should expect ongoing discussions about energy policy. Actionable advice for readers includes monitoring local energy news. Also, consider advocating for sustainable energy solutions in your community. The industry implications are vast, affecting everything from data center locations to the cost of cloud computing. “Slow natural gas buildouts coupled with kneecapped renewables have put data center developers in a bind,” the team revealed, underscoring the challenge.

Ready to start creating?

Create Voiceover

Transcribe Speech

Create Dialogues

Create Visuals

Clone a Voice