What We're Watching
Judge delays DOGE’s resignation deadline
Elon Musk walks on Capitol Hill on the day of a meeting with Senate Republican Leader-elect John Thune (R-SD), in Washington, U.S. December 5, 2024.
REUTERS/Benoit Tessier
Elon Musk walks on Capitol Hill on the day of a meeting with Senate Republican Leader-elect John Thune (R-SD), in Washington, U.S. December 5, 2024.
While the Trump administration had hoped for 200,000 resignations, just over 40,000 employees – less than 2% of the federal workforce – had reportedly accepted the offer as of Wednesday.
Another federal judge also limited DOGE’s access to the Treasury Department payments system over privacy concerns on Thursday. That order gives “read only” access to two DOGE employees, both of whom have close ties to Musk.
Despite these legal measures, DOGE employees are fanning out across federal agencies, including the Center for Disease Control, the Labor Department, and the big kahuna: Medicare and Medicaid. Since Wednesday, DOGE officials have gained access to payment and contracting systems for both Medicare and Medicaid, which control hundreds of billions in healthcare provider payments.
DOGE aims to tackle fraud in the system – some of the $100 billion in improper Medicare and Medicaid payments in 2023 – by strengthening existing anti-fraud efforts. But some fear the complexity of the healthcare system could lead to mistakes and overly aggressive cuts. Any missteps that cost voters their insurance or lead to grave health consequences could cost Republicans in the 2026 midterms.
Egypt said on Monday it arrested more than 200 people along its southern border – most of them foreigners – as part of a crackdown on illegal gold mining and smuggling in the gold-rich area.
The two countries remain allies against Russia, but the rift could complicate efforts to rebuff Moscow.
Inflation, war, climate change, and now artificial intelligence are among the world’s top concerns, according to a poll of 15 countries.
As governments and businesses accelerate AI adoption, concerns around energy and water demand are intensifying. Microsoft leaders Melanie Nakagawa and Juan Lavista Ferres highlight new research showing that advancements in AI models, datacenter operations, and hardware could improve energy efficiency by 8–20x. The findings suggest that, at scale, AI systems can become significantly more efficient than previously understood—enabling continued growth while reducing the resources required to support it and reinforcing a more sustainable path for AI expansion. Read the full blog here.