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Tech industry leaders have appealed to the United Nations, asking global institutions to regulate the artificial intelligence technology they helped create. The call, reported by AP, frames AI oversight as a matter of humanity's safety, placing the issue before international bodies such as the UN Security Council rather than leaving control to individual companies or governments alone.

Classified budget estimates reportedly show the National Security Agency is paying billions of dollars to test artificial intelligence models. The figures suggest US intelligence agencies are investing heavily in evaluating advanced AI systems, likely for national security and intelligence applications. The scale of the spending has drawn attention to how deeply classified programs are shaping the government's approach to AI.

Leading figures from the artificial intelligence industry are set to meet President Trump at the White House for discussions on the technology's future. The meeting comes as prominent voices in AI have issued stark warnings about potential risks posed by increasingly powerful systems. Details of the agenda and who will attend have not been confirmed, but the talks are expected to cover regulation, safety and American competitiveness in the sector.

AMD has agreed to an $8.2 billion deal to bring in Fei-Fei Li, the Stanford AI researcher widely known as the 'Godmother of AI'. The move signals AMD's push to compete more aggressively with Nvidia in artificial intelligence chips and computing. Analysts are weighing what the deal means for the AI hardware race.

AI researcher Timnit Gebru, one of the field's most prominent critics, argues in a WIRED interview that fears of artificial intelligence wiping out humanity are misplaced. She says the current doom narrative serves as a marketing tool that helps tech founders raise money, rather than a genuine concern, and that real harms come from present-day bias and exploitation.

A new analysis argues the AI industry must generate roughly $6 trillion in annual revenue by 2031 to justify the enormous capital being poured into data centres worldwide. The figure highlights the widening gap between infrastructure investment and actual AI earnings, fueling debate over whether the current spending boom resembles a bubble.

Major AI providers including Google, OpenAI and Anthropic do not publish detailed energy-use figures for their models, treating the data as commercially sensitive. The Sustainable AI Group has now developed a method that lets customers compare the energy consumption of closed models without relying on company disclosures, addressing a growing gap in transparency around AI's environmental impact.

Donald Trump and leading technology executives have signed a voluntary agreement committing to robust safeguards for artificial intelligence. The pact, reported by Al Jazeera, pledges industry cooperation on AI safety measures without binding legal requirements. The move is drawing attention as governments worldwide weigh how to regulate rapidly advancing AI systems.

Bill Gates, in an interview with Ezra Klein, said artificial intelligence 'makes nuclear weapons look like nothing', arguing that AI's transformative power will surpass even the most dangerous technology of the twentieth century. His remarks are fuelling ongoing debate about the scale of AI's risks and its potential to reshape society.

NVIDIA has addressed accusations of circular financing, acknowledging in its own words that "some will call this circular financing." The company is pushing back against concerns that its investments in AI startups indirectly fund purchases of its own chips, inflating demand figures. Critics in the tech and finance world have been scrutinizing NVIDIA's vendor-financing-style deals as the AI investment boom accelerates.

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.

Dow Jones futures fell ahead of a key US inflation report and Micron earnings, with investors cautious about what the data means for interest rates. Despite rising bond yields, Bloom Energy and several AI-related stocks moved higher, defying the broader pullback. Traders are watching whether the inflation figures will reinforce or ease expectations for Federal Reserve policy.

Leading figures in the artificial intelligence industry are publicly urging caution over the rapid development of AI, warning of potential risks to society. The commentary points out that the US Congress has so far failed to pass meaningful legislation regulating the technology, leaving a gap between warnings from AI leaders and actual policy action in Washington.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Donald Trump hosted a luncheon bringing together leading figures from the artificial intelligence and technology industries, and the seating arrangements drew as much attention as the guest list. Reporting focused on which chief executives attended and where they were placed, with observers reading the table positions as signals of influence and closeness to the administration on AI policy.

Bill Gates says it would be 'insane' to rely on artificial intelligence companies regulating themselves, arguing governments must play a central role in overseeing the technology. The comments come in a New York Times opinion piece published amid growing debate over AI safety, with regulators and industry leaders divided over how much control companies should have over their own systems.

President Trump is set to host a summit in Washington with leading figures from the artificial intelligence industry. The gathering brings the White House together with top AI executives, though details about the agenda, attendees, or expected outcomes have not been disclosed. The meeting is drawing attention as governments and tech companies continue to negotiate the balance between AI innovation and regulation.

Google is moving AI chips into space as part of a push toward orbital data centers, a direction also championed by Elon Musk as a way to reshape computing infrastructure. The idea is to run AI workloads on satellites powered by solar energy, reducing terrestrial energy and cooling demands. The overlap of two major tech players pursuing the same vision has put orbital data centers back at the center of industry debate.

Financial figures reportedly contained in Anthropic's leaked IPO prospectus are being picked over by analysts and commentators, with debate focused on what the numbers reveal about the AI company's revenue, costs and readiness to go public. Commentators are divided on whether the disclosures strengthen or complicate the case for a listing.

A new survey from print-and-mail platform Lob finds 62% of US consumers say AI has made them more wary of digital advertising. Among 2,000 US adults surveyed, 34% now rate print mail as more trustworthy than digital ads, a rise of nine percentage points. Marketing commentators are debating which of Lob's figures hold up under scrutiny.