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GPUBeat Frontier Models AI Efficiency: Google DeepMind Predicts Energy…

AI Efficiency: Google DeepMind Predicts Energy Savings Ahead

Google DeepMind anticipates that AI will ultimately yield greater energy savings than it consumes, as Gemini's user base surpasses 900 million. Leaders stress the importance of governance in the changing landscape.

AI Efficiency: Google DeepMind Predicts Energy Savings Ahead
AI Efficiency: Google DeepMind Predicts Energy Savings Ahead Source: GPUBeat

In a bold prediction, Google DeepMind's CEO, Demis Hassabis, asserts that artificial intelligence will save more energy than it consumes over the next decade. This statement comes as AI's user base is skyrocketing, with Google's Gemini AI model surpassing 900 million monthly active users, more than doubling from 400 million in just one year.

Gemini's growing popularity reflects a broader acceptance and reliance on AI technologies. Google CEO Sundar Pichai noted that daily requests for the model have surged more than sevenfold. This rapid expansion of AI usage aligns with Hassabis's vision of AI as a catalyst for significant societal advancements, particularly in science and medicine.

Hassabis, a co-founder of DeepMind and a leading figure in AI research, compared the potential impact of AI to that of the industrial revolution, suggesting it could be ten times more profound and occur at an accelerated pace. "I think that AI, it's actually going to be almost a new era for humanity," he stated, highlighting the need for collective governance and adaptation to responsibly harness AI's capabilities.

As discussions about AI's implications heat up, concerns about job displacement have emerged. Critics fear that the rapid pace of AI development might outstrip society's ability to adapt. Acknowledging these worries, Hassabis recognized the dual nature of AI's impact, noting both the potential for job disruption and the opportunities for innovation and improved energy efficiency.

In light of rising electricity costs, partially attributed to the energy demands of data centers powering AI, Hassabis reassured that major tech companies like Meta, Microsoft, and Google are proactively building their own energy infrastructures. This strategy aims to alleviate the financial burden on consumers while ensuring sustainable energy use in AI operations.

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Hassabis's insights reflect a growing sentiment among AI leaders that the technology's trajectory should be shaped by a broader societal consensus. He advocated for international standards to govern AI development, arguing that the future of humanity should not be determined by a select few individuals but rather shaped collaboratively.

The full interview featuring Demis Hassabis is set to air on ABC News Live, offering further insights into the evolving dynamics of AI and its implications for future energy consumption and societal change. As technology evolves, the discourse around AI governance and its potential benefits versus risks remains crucial for all involved.

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GPUBeat Desk

Desk · joined 2026

GPUBeat Desk covers AI infrastructure — chips, foundation models, inference economics, datacenter buildouts, and the geopolitics of compute.