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Leading figures in artificial intelligence have appealed to the United Nations, asking international bodies to establish controls over the technology they themselves helped create. The appeal, covered by AP News in connection with a UN Security Council discussion on AI, frames unregulated development as a risk to humanity and calls for coordinated global oversight of advanced AI systems.

Classified budget estimates indicate the National Security Agency is paying billions of dollars to test artificial intelligence models, according to a new report. The figures suggest US intelligence agencies are moving aggressively to evaluate advanced AI systems for national security uses, and the scale of the spending is drawing attention to how deeply classified programs are funding AI development.

A new analysis estimates the AI industry will need roughly $6 trillion in annual revenue by 2031 to justify the massive spending on data centres now underway. The figure highlights the gap between infrastructure investment and current AI earnings, fuelling debate over whether the boom is a bubble or a bet worth making.

President Donald Trump met with leading artificial intelligence executives at a summit, and NPR has published its key takeaways from the gathering. The meeting focused on the intersection of AI policy, industry priorities and government regulation. Commentators are weighing what the discussion signals for the future direction of US AI policy and the administration's relationship with major tech companies.

China's World Internet Conference summit will center on open-source artificial intelligence, according to state broadcaster CGTN. The annual gathering, held in Wuzhou and backed by Beijing, brings together technology officials and industry figures, and a focus on open-source AI signals China's push to shape global conversations around AI development and standards.

Dr. Oz gave a live walkthrough of America.gov, showcasing an artificial intelligence feature that finds nearby doctors who accept Medicare and displays available appointment times without users needing to search. The demonstration emphasizes how AI could simplify healthcare navigation for patients, a use case drawing attention and debate online.

Bill Gates said artificial intelligence requires an urgent supervisory layer to oversee its development and use. The comments add to ongoing debate among technology leaders and regulators about how AI systems should be governed, as governments worldwide weigh new oversight rules for increasingly powerful models.

President Trump met with leading technology executives, and the discussion appears to have done little to clarify how the United States will approach artificial intelligence safety. Observers say the outcome leaves key questions unresolved: how AI will be regulated, what voluntary commitments companies will keep, and how the White House balances innovation against risk. The gathering has instead sharpened debate among policymakers, industry figures and safety advocates about where US AI policy is heading.

Anthropic has disclosed agreements worth up to $84.5 billion with SpaceX covering compute capacity, according to a report by The Information. The scale of the deal would make it one of the largest known commitments between an AI developer and a space-based compute provider, and it is drawing attention for the sheer size of the figures involved.

A technical analysis circulating among AI infrastructure enthusiasts claims that a high-end hardware setup used for AI inference can recoup its purchase cost within days, a strikingly fast payback period compared with typical enterprise equipment. The discussion centers on how demand for running large language models could make such hardware unusually profitable, with readers debating whether the figures hold up in practice.

US equities climbed as investors braced for two major tests: the latest PCE inflation reading, the Federal Reserve's preferred price gauge, and earnings from chipmaker Micron Technology. The PCE figures will shape expectations for the path of interest rates, while Micron's results are viewed as a bellwether for the AI-driven semiconductor sector. Traders are watching both closely for direction on Wall Street.

Following a summit with leading technology executives, President Donald Trump said AI companies should practice what he called 'tremendous self-regulation' rather than face heavy government rules. The remarks signal a light-touch approach to artificial intelligence oversight and are drawing attention from policy watchers and industry figures assessing what the stance means for future US regulation of the fast-growing sector.

Industry leaders in South Korea say the country must develop new technologies and standards of its own to stay competitive in artificial intelligence. The call, reported by The Korea Herald, reflects concern that Korea risks falling behind global rivals without homegrown innovation in AI and semiconductors.

Drake University is hosting a Bucksbaum Business Lecture featuring prominent journalists who will discuss the evolution of technology and artificial intelligence. The event forms part of the university's business lecture series, which brings notable figures to campus to talk with students and the public. Details on the speakers and date are expected from the university newsroom.

OpenAI is reportedly in talks to raise a $30 billion funding round at a $1.4 trillion valuation, according to TechCrunch. The figure would mark a dramatic jump for the ChatGPT maker and one of the largest private funding rounds ever, fueling debate over whether AI company valuations have become detached from reality.

Consultancy Bain & Company has calculated that artificial intelligence would need to generate around $6 trillion in annual revenue to justify the massive spending now going into data centres and computing infrastructure. The figure, reported by The National, underlines the scale of the gap between current AI revenues and the investment being committed, fueling debate about whether the AI buildout is a bubble.

OpenAI has disclosed how its own researchers use AI coding agents internally, revealing that some researchers consume more than one million yen (roughly $7,000) worth of tokens per day. The figures offer a rare look at how intensively the company itself relies on AI coding tools in daily work, and readers are discussing the scale of the spending and what it suggests about enterprise AI costs.