Larry Ellison Says The US and Other Countries 'Need To Unify All Of The National Data Into A Database' That Can Be Fed To AI

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Adrian Volenik

Wed, Feb 19, 2025, 7:15 AM 4 min read

Larry Ellison, the billionaire co-founder of Oracle (NYSE:ORCL), believes the U.S. and other countries should unify all their national data into a single database that AI can analyze. Speaking at the World Governments Summit in Dubai last week with former UK Prime Minister Tony Blair, Ellison said that AI could work better if all government data was in one place. Right now, it’s too scattered, making it hard for AI to help improve public services, save money, and stop fraud.

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A Unified Database for AI

Ellison pointed out that government agencies collect massive amounts of information but store it in thousands of separate databases, making it difficult to utilize. "It's not like ‘Go to this database and here's all the data about my country,'" he said. "It's ‘Go to these 3,000 databases and here's all the data about my country.'" His solution? Consolidate everything into one easily accessible system that AI can process to answer any question governments may have.

Ellison thinks AI could make healthcare better by putting all medical records, test results, and even DNA information in one place. He believes this would help doctors find illnesses earlier and create better treatments. “That's the big step. That's kind of the missing link. We need to unify all of the national data, put it into a database where it's easily consumable by the AI model and then ask whatever question you like," he explained.

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Oracle's Role and the Rise of AI Super Centers

Ellison, whose company has heavily invested in AI and cloud computing, made it evident that Oracle is ready to help governments implement this vision. The company is already a major contractor for the U.S. government and military, and Ellison revealed plans for a $100 billion data center that would train advanced AI models. Oracle is also part of the Stargate project, a massive $500 billion initiative to expand AI infrastructure in the U.S.

However, he emphasized that governments should build their own data centers domestically due to privacy concerns. “Just like airports obviously need to be in our country or they're not terribly useful, ports need to be in our country or they're not terribly useful, data centers—because of the privacy requirements around the data—need to be in our countries or they're not terribly useful," he said.

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The Surveillance Factor

Ellison's push for data centralization is not just about improving services—it also aligns with his belief in constant surveillance. At Oracle's Financial Analyst Meeting last year, he openly supported the idea, stating, “Citizens will be on their best behavior, because we're constantly recording and reporting everything that is going on." He envisions a world where both civilians and law enforcement are under 24/7 AI-powered monitoring, with AI identifying any misconduct.

This perspective has sparked comparisons to China's social credit system, where mass surveillance and AI-driven analysis help control public behavior. Critics warn that such a system could have serious privacy implications, especially given the frequent cyberattacks on U.S. government databases. Just last year, U.S. intelligence officials reported that Chinese hackers had breached the Treasury Department.

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