
ASML has unveiled a new lithography machine that can produce chip features as small as eight nanometers, a critical advancement for the AI industry. Priced at $400 million, this machine is essential for creating the denser chips needed for powerful AI models. ASML's technology is vital for maintaining Moore's Law, but its market dominance raises geopolitical issues, particularly with restrictions on sales to China. This development underscores the strategic importance of chipmaking in global technology and politics.
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© TechCrunch AINebius is facing the harsh reality of scaling AI infrastructure: even with $40 billion in planned spending and massive prepayments from Microsoft and Meta, physical construction delays are derailing timelines. A key New Jersey site is months behind schedule due to regulatory fines and generator issues, forcing a shift in delivery dates to 2027. This isn't just a logistical hiccup; it signals that the 'neocloud' model of financing builds with customer cash is fragile when third-party operators fail. The market reacted swiftly, dropping shares by 17% after Nebius cut its 2026 revenue forecast, proving that hype cannot override concrete capacity.
© TechCrunch AIUnited Airlines is actively blocking third-party AI agents from accessing its booking systems, marking a significant shift in how legacy infrastructure handles autonomous software. The airline cites cybersecurity risks from shared credentials and potential violations of federal aviation rules requiring human check-ins. This move aligns with similar warnings from major banks like Bank of America, signaling that critical industries are drawing hard lines around where human oversight is legally required. It effectively kills the dream of fully autonomous travel booking for now, forcing a re-evaluation of agent integration in regulated sectors.
© TechCrunch AISoftBank’s massive $30 billion bet on OpenAI and a parallel $33 billion push into natural gas power infrastructure has hit a wall, resulting in a $7.1 billion quarterly loss. The core issue wasn't just bad luck; it was a strategic overreach where SoftBank paid non-refundable deposits for 13 gigawatts of turbines—50% more than needed—to secure supply in a constrained market. This move effectively acted as expensive price discovery, revealing that the anticipated immediate demand for standalone gas plants is slower to materialize than predicted. As data centers realize grid connections paired with battery storage are more viable, SoftBank’s strategy to corner the energy market has stalled, signaling a potential ceiling for AI's reliance on natural gas.