
Google Commits $1 Billion for AI Training at US Universities

Alphabet's Google revealed a three-year, $1 billion initiative to offer artificial intelligence resources and training to higher education institutions and nonprofits in the U.S. Over 100 universities have joined the initiative to date, including several of the country’s largest public university systems like Texas A&M and the University of North Carolina.
Schools involved may obtain financial support and resources, including cloud computing credits for student AI training and research on AI-related subjects.
The billion-dollar amount also encompasses the worth of paid AI tools, including an enhanced version of the Gemini chatbot that Google will provide to college students at no cost.
Google aims to extend the initiative to all accredited nonprofit colleges in the U.S. and is exploring comparable plans in various countries, Senior Vice President James Manyika stated in an interview.
He refused to disclose the amount Google is allocating in direct funds to external organizations compared to covering its own cloud and subscription expenses.
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The announcement arrives as competitors such as OpenAI, Anthropic, and Amazon have launched analogous initiatives in AI for education as the technology spreads throughout society. In July, Microsoft committed $4 billion to enhance AI in education worldwide.
By promoting their products to students, tech companies also have the potential to secure business contracts when those individuals join the workforce.
An increasing amount of studies has outlined worries regarding AI’s impact on education, including facilitating cheating and diminishing critical thinking, leading some schools to contemplate prohibitions.
Manyika stated that Google has not encountered opposition from administrators since it started planning its education initiative earlier this year, but "many more questions" regarding AI-related issues persist.
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"We aim to collaborate with these institutions to understand the best ways to utilize these tools. The findings could influence future product choices,” adds James Manyika.