OpenAI’s head of data centers, Chris Malone, has departed the company, joining a string of recent executive exits. Malone was crucial to OpenAI’s ambitious $600 billion infrastructure expansion plans. The departures raise concerns as the AI giant prepares for a potential IPO, despite assurances from leadership that the team remains strong and experienced.

Instagram head Adam Mosseri testified in a social media addiction trial, denying he instructed his team to hide information that could expose Meta to legal liability. He stated he wouldn’t be surprised by legal counsel reviewing child safety research but would be if the primary aim was to shield the company. Mosseri also explained restricting access to research post-whistleblower revelations was to prevent information from being taken out of context.

Nvidia’s upcoming earnings report is a critical gauge for the AI revolution. Its performance influences data centers, chip suppliers, and tech giants. Despite competition and potential headwinds like chip shortages and geopolitical risks, Nvidia’s foundational role fosters a bullish outlook. Investors will scrutinize not just financials, but also Nvidia’s strategic investments and signs of sustained AI infrastructure growth.

World Liberty Financial, a crypto venture linked to Donald Trump, is asserting its stablecoin USD1’s independence and utility. The company, founded by Trump associates, recently gained conditional approval for a national trust bank charter. CEO Zach Witkoff highlighted USD1’s significant circulation and daily trading volume, disputing claims of its exploitation for personal gain. Despite scrutiny over global entanglements and past deals, Witkoff emphasizes USD1’s role in the evolving digital economy.

Tech stocks rebounded on AI optimism ahead of Nvidia’s earnings, boosted by falling Treasury yields. However, political pushback on data centers introduces uncertainty, prompting profit-taking. Investors await inflation data and Fed commentary. Nvidia’s dominance, underscored by SpaceX’s chip choice, persists despite scrutiny. Apple’s AI-focused Macs see price increases, with Chinese memory access being key for stock upside.

Waymo, Alphabet’s autonomous driving unit, will launch its robotaxi service in Munich, Germany, in 2027, marking its entry into the EU. The company is beginning phased testing to map roads, train systems, and adapt to local conditions. This move signifies a major global expansion beyond its U.S. operations, where it currently serves 11 cities. Waymo aims to leverage its extensive autonomous driving experience to navigate European markets, despite facing regulatory and public perception challenges.

John Ternus inherits leadership of Apple from Tim Cook, facing challenges in AI strategy and supply chain issues, particularly memory chip shortages. While Cook fortified Apple into a tech titan and built a strong services division, Ternus must navigate an aggressive AI landscape, potentially investing more capital. The company’s future hinges on Ternus’s ability to innovate beyond the iPhone and leverage its services ecosystem, with Cook remaining as executive chairman to ensure stability.

SpaceX is building a $100 billion Starship launch facility in Louisiana, aiming for thousands of annual launches to support Starlink, orbital data centers, and Mars colonization. The site, selected after a seven-year process, will create 10,000 jobs and include a historic coastal restoration project. This move, part of Elon Musk’s broader Southern US expansion, aims to learn from past environmental challenges faced at their Texas facility.

MIT engineers developed an AI that forecasts extreme weather without historical data. The system, named η-learning, generates detailed maps of plausible, unprecedented events, estimating their duration, intensity, and affected areas. This innovation, combining point statistics with spatial detail, allows for proactive infrastructure testing and preparedness against future meteorological extremes, enhancing national and economic resilience.

Nvidia is shifting beyond hyperscalers to capture broader AI infrastructure markets. Its new “AI clouds, industrial, and enterprise” (ACIE) segment is rapidly growing, nearly matching hyperscaler revenue. The company is also exploring innovative financing models to make GPUs an investable asset class, aiming to democratize AI infrastructure access. This diversification is crucial as hyperscaler clients face financial pressures, and new systems like Vera Rubin are poised to drive future growth.