Peter Thiel accused Pope Leo XIV of advancing Chinese Communist objectives by supporting strict AI restrictions that could disadvantage the United States, sparking controversy at the Aspen Ideas Festival.
A new House bill aims to make tech companies finance the electrical infrastructure upgrades required by AI data centers, protecting consumers from higher utility bills.
Mark Cuban argues opposition to data centers reflects growing public frustration with AI technology and the concentration of billionaire wealth fueling its rise.
The US Department of Justice argues that courts must not overstep by demanding detailed justifications when prosecutors drop charges, citing separation of powers protections.
Some companies pushing heavy AI adoption found it drove soaring expenses on trivial tasks and costly experiments, sparking concerns over efficiency and broader business impacts.
A major tech developer has taken legal action against a small Ohio town that blocked its plans to build a massive AI data center, sparking a wider debate on infrastructure and resource use.
Nearly two dozen Florida communities, including Nassau County, have imposed bans or moratoriums on AI data centers, reflecting growing local resistance to their environmental and infrastructural impacts.
A legal dispute between Warner Bros. and AI firm Midjourney may compel the studio to disclose its AI practices, challenging how intellectual property is used in entertainment.
Former President Trump emphasized the need for the US to maintain AI leadership over China, calling AI a transformative technology surpassing the internet in impact and stressing energy and semiconductor production policies that support this goal.
Alexandria Ocasio-Cortez introduced legislation to pause new data centers across the US until Congress enacts rules addressing AI’s environmental and economic consequences.
The European Union’s highest court upheld a historic $4.7 billion fine against Google for abusing its dominance on Android devices, ending an eight-year legal battle.
As AI agents move from support roles to managing live production environments, DevOps teams face new challenges around automation decision-making and operational risks.