Google to Invest $100 Billion in AI: DeepMind CEO’s Bold Prediction

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Google’s commitment to investing in artificial intelligence (AI) seems to be reaching new heights, as DeepMind CEO Demis Hassabis predicts that the tech giant will pump more than $100 billion into AI. During a TED conference in Vancouver, Hassabis hinted at Google’s substantial investment in AI, surpassing its rivals Microsoft and OpenAI.

While the specifics of how Google plans to spend this massive sum remain undisclosed, it is likely that a significant portion will go towards hardware development. Google’s upcoming Axion CPUs based on the Arm architecture are poised to offer impressive performance gains, claiming to outperform existing processors in speed and efficiency.

DeepMind, known for its work in AI software, is expected to receive a portion of this extensive budget. Recent projects at DeepMind have shown progress in AI social skills development but have faced challenges in areas like AI-discovered materials and weather prediction.

Hassabis emphasized the critical role of computing power in advancing AI capabilities, citing Google’s collaboration with DeepMind since 2014 as a driving force behind their progress. Google’s continued push for more computing resources, such as the upcoming $1 billion Kansas City data center, demonstrates the company’s commitment to AI research and development.

As Google’s AI investments expand, the tech industry eagerly anticipates the innovation and breakthroughs that could emerge from this substantial funding. With Google leading the charge in AI, the future of technology holds promising advancements that could reshape various sectors and industries.

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Advait Gupta
Advait Gupta
Advait is our expert writer and manager for the Artificial Intelligence category. His passion for AI research and its advancements drives him to deliver in-depth articles that explore the frontiers of this rapidly evolving field. Advait's articles delve into the latest breakthroughs, trends, and ethical considerations, keeping readers at the forefront of AI knowledge.

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