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Software·4 min read

Data Centers Projected to Quadruple Electricity Use by 2035

As technology continues to evolve, the demand for data centers is escalating rapidly. A recent report indicates that by 2035, data centers are expected to...

  • ai
  • Climate
  • Data Centers
  • Electrical Grid
  • Software
  • Electricity Grid
  • Technology
  • Sustainability

By Global Outreach

Illustrated cover image for the Software article "Data Centers Projected to Quadruple Electricity Use by 2035" on Global Outreach Solutions blog

As technology continues to evolve, the demand for data centers is escalating rapidly. A recent report indicates that by 2035, data centers are expected to consume one-fifth of the electricity produced in the United States, representing a fourfold increase from current levels. This surge is primarily driven by the growing need for artificial intelligence (AI) computations.

The Surge in AI Demand

The increasing reliance on AI technologies is expected to push data center capacity to nearly 200 gigawatts within the next decade. Approximately half of this capacity will be allocated for AI training and inference processes, which are critical for the development of sophisticated AI models.

Concentration of Computing Power

The bulk of AI computing power will remain centered in the U.S., with projections suggesting that by 2033, the country will account for 64% of the total power demand for AI chips. This concentration raises concerns about the sustainability of the electrical grid, which is already under strain.

Revised Electricity Demand Forecasts

Forecasts regarding electricity demand have been revised significantly in light of the rapid expansion of the data center industry. BloombergNEF’s recent estimates indicate an 83% increase in projected electricity demand for 2035 compared to prior predictions. Other organizations have also adjusted their forecasts, reflecting the accelerating pace of data center development.

Strained Electrical Grids

The increasing demand for electricity from data centers is set to exacerbate the challenges faced by existing electrical grids. For instance, the PJM Interconnection, which spans from Virginia to Illinois, is expected to allocate 34% of its electricity to data centers, while ERCOT, covering most of Texas, will need to dedicate 22% of its capacity.

PJM, which already hosts a significant number of data centers, has struggled to accommodate connection requests from both large generators and new loads. This has led to a temporary pause on new applications for grid connections, highlighting the precarious situation resulting from rising demand.

Impacts on Electricity Prices

The supply-demand imbalance in electricity has driven prices up by 76% over the past year. Despite these challenges, data centers continue to pursue connections to the PJM grid, representing a substantial share of charges in recent capacity auctions.

Global Electricity Demand from Data Centers

Looking at the global landscape, if the aggressive trajectory of AI adoption persists, data centers worldwide are projected to create an astonishing 1,935 terawatt-hours of new electricity demand by 2033. This figure is nearly equivalent to India's annual electricity consumption.

  • Projected 20% of U.S. electricity consumption by 2035
  • Data centers to reach nearly 200 gigawatts capacity
  • 64% of AI chip power demand remains in the U.S.
  • PJM Interconnection to allocate 34% electricity to data centers
  • Global demand could equal India's annual consumption

Technology teams are watching data centers projected to quadruple electricity use by 2035 closely because changes in this space often arrive faster than internal policies can adapt.

For product and engineering leaders, the practical question is how this could reshape roadmaps, vendor choices, and security reviews over the next few quarters.

Organizations that document lessons early tend to respond more calmly when similar patterns appear again.

In many companies, the first impact shows up in planning meetings: teams reassess priorities, revisit risk registers, and check whether existing tooling still fits.

Smaller businesses feel these shifts too. A single platform change or market move can affect customer trust, delivery timelines, and hiring plans.

The most resilient teams treat stories like this as input for quarterly reviews rather than one-day headlines.

If your business depends on modern software, ERP, VoIP, or customer-facing apps, staying informed helps you separate noise from decisions that require action.

Looking ahead, disciplined follow-through matters: assign owners, set review dates, and measure whether your response improved outcomes.

Security and compliance stakeholders should ask whether current controls still match the pace of change described in this update.

Operations leaders can reduce friction by translating the headline into a short internal brief with clear next steps for each department.

Customer support teams may see early signals through tickets, outages, or policy questions long before leadership reviews are scheduled.

Finance and procurement groups should note whether licensing, vendor risk, or implementation costs need revisiting after this development.

Training programs benefit from timely updates so staff understand what changed, what did not change, and what requires escalation.

Architecture reviews are a practical place to test assumptions, especially when new tools, platforms, or threats enter the conversation.

Documentation quality often determines how quickly a company recovers from surprises; capture decisions while context is still clear.

Technology teams are watching data centers projected to quadruple electricity use by 2035 closely because changes in this space often arrive faster than internal policies can adapt.

The future of data centers presents both significant opportunities and challenges. As we move forward, it will be crucial to explore sustainable solutions to meet the increasing electricity demands while ensuring the stability of our electrical infrastructure.

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