Tech

ASML, a key supplier of chipmaking equipment, faces geopolitical pressure amid booming AI demand. While China remains a crucial market, the US is pushing for stricter export controls on less advanced DUV lithography machines. ASML, which doesn’t export its most advanced EUV technology to China, has raised its guidance due to strong customer demand for AI chips. Potential US legislation like the MATCH Act could impact its orderbook, forcing ASML to balance global demand with international relations.

Stock futures indicate a cautious market opening amid economic concerns. The tech sector, particularly semiconductors, faces a sharp sell-off due to geopolitical risks and demand shifts. Netflix shares plunged on disappointing guidance, while broader economic pessimism grows, impacting consumer sentiment. Meanwhile, evolving digital fraud tactics are costing retailers significantly, and regulators are increasing scrutiny on prediction markets.

SpaceX’s stock fell after a Starship rocket test flight was aborted due to engine ignition failures. This follows a successful IPO in June, but the company’s stock has since been volatile. A previous test flight in May also encountered issues. The FAA has since cleared SpaceX to continue its test program.

Chinese startup Moonshot AI has released Kimi K3, a large language model with 2.8 trillion parameters, challenging U.S. AI dominance. It reportedly surpasses OpenAI and Anthropic models on specific benchmarks, showcasing China’s growing AI capabilities despite resource constraints. This development intensifies the global AI race and influences other Chinese AI companies’ stock performance.

At the World AI Conference in Shanghai, President Xi Jinping invited the Global South to collaborate on AI development, pledging 5,000 training opportunities and enhanced cooperation with ASEAN, the Arab States, and the African Union. He advocated for a “symphony of international cooperation” and stressed AI must be secure and human-controlled. This comes as 29 countries signed an agreement to establish the World Artificial Intelligence Cooperation Organization (WAICO) in Shanghai.

Asian tech stocks experienced a sharp decline, mirroring a US semiconductor sell-off. Investor concerns about the sustainability of AI spending and company valuations drove significant drops in companies like SoftBank Group, Tokyo Electron, and Kioxia. Even TSMC saw its shares fall despite strong profits, as market sentiment shifted towards broader macroeconomic worries and potential overspending in the AI sector.

Microsoft CEO Satya Nadella questioned Anthropic’s strict limitations on its Fable AI model, deeming them illogical and hindering its utility as a creation tool. This critique arises amidst Microsoft’s significant investment in Anthropic and its reliance on their models for Copilot. Nadella emphasized the need for cost-effective AI and warned against a market dominated by a few token-rich companies. This also reflects Microsoft’s move to develop more in-house AI solutions.

SpaceX’s Starship launch was scrubbed due to an engine malfunction, causing a dip in its stock price post-IPO. CEO Elon Musk anticipates another attempt soon, with two engines needing replacement. This setback follows a previous test flight that also faced issues. The company has implemented corrective actions after FAA review. The Starship’s success is crucial for Starlink expansion and NASA’s Artemis program. SpaceX’s IPO was the largest on record.

Elon Musk’s AI ventures in Greater Memphis are facing significant backlash from residents due to noise and emissions from natural gas turbines powering data centers. This opposition is influencing policy nationwide, with New York and New Jersey enacting data center restrictions. Concerns over quality of life, environmental impact, and lack of consultation are rising, despite the economic potential and rapid development. Legal challenges and community advocacy highlight a growing disconnect between technological progress and local well-being.

Alphabet shares fell 4% following reports of a delay in its Gemini AI model release, particularly for advanced coding. This setback highlights intense competition in AI development, with rivals like OpenAI and Meta showcasing superior code generation capabilities. Google is prioritizing performance enhancement, especially in complex code generation, for Gemini 3.5 Pro. The delay underscores the challenges of scaling advanced AI and maintaining a competitive edge in a rapidly evolving market.