Oracle co-founder Larry Ellison has long advocated harnessing data for technological advancement, but his latest vision is raising both excitement and concerns.

Speaking at a recent event, Ellison advocated for unifying all U.S. national data into a single system that could then be analyzed and leveraged by artificial intelligence.

His proposal, while ambitious, raises significant questions about privacy, security, and government oversight. Ellison, whose company Oracle has been deeply involved in cloud computing and AI-driven data management, believes that consolidating national databases into a single AI-powered system would revolutionize decision-making in sectors like healthcare, security, and governance. According to Business Insider and CNBC reports, he argues that fragmented data systems hinder efficiency and that a centralized AI-driven model could lead to better insights and predictive capabilities.

For example, in the healthcare sector, Ellison envisions a national database that could track patient histories, streamline medical research, and improve emergency response.

“If we unify all the national data and feed it to AI, we can make faster and more accurate decisions,” he reportedly said during a conference.

However, the idea of aggregating massive amounts of sensitive data into a single AI-accessible system has sparked concerns among privacy advocates and cybersecurity experts.

The Washington Post highlights that such a database could become a prime target for cyberattacks, with adversaries seeking to exploit vast amounts of personal and governmental data.

Moreover, organizations like the Electronic Frontier Foundation (EFF) warn that consolidating data at such a scale could increase the risks of mass surveillance and government overreach.

Critics argue that without strict safeguards, such a system could be misused for intrusive tracking, profiling, or even AI-driven decision-making that lacks human oversight.

Ellison’s vision aligns with the broader push toward AI-driven governance, where machine learning algorithms can analyze large-scale data sets to improve policy decisions.

Oracle has already been involved in AI-driven cloud solutions for the government, and this proposal could further solidify the company’s role in managing critical national infrastructure. READ MORE