**The Rising Energy Appetite of AI: Surpassing Bitcoin by 2025?**
*By Tech Insights | May 29, 2025*
Artificial intelligence (AI), the technological marvel powering innovations from self-driving cars to ChatGPT, might soon become one of the world's largest energy consumers—potentially eclipsing even Bitcoin mining by the end of 2025.
\[Image: AI-driven data centers rapidly expanding worldwide.]
Recent analysis by Alex de Vries-Gao, a researcher at Vrije Universiteit Amsterdam, indicates that AI systems could account for nearly half the electricity consumed globally by data centers within two years. Known for his insights into crypto’s environmental footprint, de Vries-Gao shared this startling forecast in his latest publication in the journal *Joule*.
Estimating the exact energy consumption of AI is notoriously challenging due to limited transparency from tech companies. De Vries-Gao utilized a "triangulation" approach, analyzing chip production volumes and hardware specifications from major suppliers like TSMC, Nvidia, and AMD, to gauge how much electricity future AI hardware might demand.
\[Image: Production of AI chips at TSMC has doubled in recent years.]
In fact, the electricity consumption associated with AI equipment has already reached levels comparable to entire countries like the Netherlands and could grow to rival the United Kingdom's energy use by late 2025, hitting an estimated 23GW.
A parallel study from ICF consulting echoed these concerns, projecting a significant surge in U.S. electricity demand—up to 25 percent by 2030—driven largely by AI alongside traditional data centers and Bitcoin mining.
The explosive popularity of AI tools like ChatGPT has reignited the "bigger is better" mentality among tech giants. Companies race to build ever-larger AI models, significantly increasing energy consumption. The rapid build-out of new data centers, particularly in the U.S., amplifies this issue, pressuring power grids and potentially hindering the transition to renewable energy.
De Vries-Gao emphasizes the urgent need for tech companies to be more transparent about the environmental impact of their AI operations. Improved disclosure could help stakeholders better manage and mitigate rising energy demands. “The complexity involved in estimating AI’s energy usage is absurdly difficult,” he noted. "It shouldn’t have to be this way."
Moving forward, the tech industry faces crucial decisions: Will efficiency innovations in AI meaningfully offset its rapidly increasing energy consumption, or will the technological arms race continue to push power demands ever higher?
**The Rising Energy Appetite of AI: Surpassing Bitcoin by 2025?**
*By Tech Insights | May 29, 2025*
Artificial intelligence (AI), the technological marvel powering innovations from self-driving cars to ChatGPT, might soon become one of the world's largest energy consumers—potentially eclipsing even Bitcoin mining by the end of 2025.
\[Image: AI-driven data centers rapidly expanding worldwide.]
Recent analysis by Alex de Vries-Gao, a researcher at Vrije Universiteit Amsterdam, indicates that AI systems could account for nearly half the electricity consumed globally by data centers within two years. Known for his insights into crypto’s environmental footprint, de Vries-Gao shared this startling forecast in his latest publication in the journal *Joule*.
Estimating the exact energy consumption of AI is notoriously challenging due to limited transparency from tech companies. De Vries-Gao utilized a "triangulation" approach, analyzing chip production volumes and hardware specifications from major suppliers like TSMC, Nvidia, and AMD, to gauge how much electricity future AI hardware might demand.
\[Image: Production of AI chips at TSMC has doubled in recent years.]
In fact, the electricity consumption associated with AI equipment has already reached levels comparable to entire countries like the Netherlands and could grow to rival the United Kingdom's energy use by late 2025, hitting an estimated 23GW.
A parallel study from ICF consulting echoed these concerns, projecting a significant surge in U.S. electricity demand—up to 25 percent by 2030—driven largely by AI alongside traditional data centers and Bitcoin mining.
The explosive popularity of AI tools like ChatGPT has reignited the "bigger is better" mentality among tech giants. Companies race to build ever-larger AI models, significantly increasing energy consumption. The rapid build-out of new data centers, particularly in the U.S., amplifies this issue, pressuring power grids and potentially hindering the transition to renewable energy.
De Vries-Gao emphasizes the urgent need for tech companies to be more transparent about the environmental impact of their AI operations. Improved disclosure could help stakeholders better manage and mitigate rising energy demands. “The complexity involved in estimating AI’s energy usage is absurdly difficult,” he noted. "It shouldn’t have to be this way."
Moving forward, the tech industry faces crucial decisions: Will efficiency innovations in AI meaningfully offset its rapidly increasing energy consumption, or will the technological arms race continue to push power demands ever higher?