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Can Solar Help Offset the AI’s Energy Demand? by Greg Zimmerman

William Attardi on April 30, 2025

Demand from data centers is expected to more than triple by 2028, according to the Department of Energy. This is largely due to the explosion of Artificial Intelligence, and its intense demand for electricity.  Meta, Amazon, Google, and Microsoft are just a few of the big tech companies investing billions in solar technology. Two of the main reasons for the investment in solar is that the solar development timeline is much shorter than for other sources electricity. At 1.4 years, solar is the shortest timeline to develop an 800-megawatt solar plant. That’s compared to 15 years for a nuclear power and 6.7 years for a coal-fired power plant.  Also, solar is much less expensive, is easily scalable, and pays back much quicker than other sources of electricity.   Can Solar Help Offset the AI’s Energy Demand?  – Facility Management Green Quick Read

Cost of Electricity Expected to Skyrocket Due to Data Center Demand by Greg Zimmerman

William Attardi on December 31, 2024

The explosion of artificial intelligence, cryptocurrency mining, and other computing-intensive processes have fueled a building boom for data centers. But they’ve also fueled a massive spike in energy demand, which is in turn leading to higher energy prices for many facilities across the country.  One study estimates data centers could be responsible for a 70 percent increase in the cost of electricity over the next 10 years. One hyperscale data center, as a point of reference, can use as much electricity as 40,000 homes.  Cost of Electricity Expected to Skyrocket Due to Data Center Demand – Facility Management Data Centers Quick Read

Why Use AI – 5 Reasons besides making us smarter:

  1. Efficiency and Automation: AI can automate repetitive tasks… saves time and reduces human effort
  2. Data Processing: AI excels at analyzing large datasets quickly… uncovers patterns and insights that humans might miss
  3. Scalability: AI systems can handle growing workloads… without a proportional increase in costs or resources
  4. Accuracy: AI can perform tasks with high precision… reducing errors in areas like diagnostics or forecasting
  5. 24/7 Availability: AI tools can operate continuously… improving productivity and customer support