Broadcom has reached a deal with several financial firms for them to finance the purchase of US$63 billion worth of its chips for Anthropic. The agreement highlights how the line between supplier and lender is becoming blurred among some chipmakers, as well as Wall Street's growing involvement in funding arrangements as AI infrastructure spending continues to expand.

Mitsubishi Materials will expand production of thermistors, temperature sensors used in optical communications equipment, as the spread of generative AI drives demand for optical transceivers. Its Thailand facility will gradually add equipment and raise monthly capacity to about 12 million units by November 2027, roughly six times its 2025 capacity.

Expanding investment in AI data centers is putting pressure on memory supply and demand across the automotive industry. As semiconductor companies prioritize high-bandwidth memory (HBM) and server products, automotive memory faces rising prices and tighter supplies, making automakers' direct procurement, long-term partnerships, and in-house chip design increasingly strategic.

More than half of China's AI token usage is reportedly concentrated in short dramas and video generation, but ByteDance's Doubao has disputed the figure, saying video-generation models account for only about 10% of overall computing resources. The conflicting estimates highlight the difficulty of assessing AI compute consumption and its commercial value.

Anthropic's first public filing for its IPO has opened the books on one of the world's fastest-growing AI companies, revealing extraordinary revenue growth alongside a headline net loss that substantially overstates the deterioration in its underlying operations.

Nvidia CEO Jensen Huang's visit to Kazakhstan highlighted plans to build an AI computing hub for Europe, with projects spanning GPU clusters, data centers, talent, and physical AI. The initiative depends on power infrastructure, foreign technology, and Kazakhstan's ambition to develop and export its own AI capabilities across Central Asia.

Japanese robot maker FANUC raised its fiscal year 2026 revenue forecast on October 23 as demand for AI and automation strengthened, putting sales on track to surpass JPY1 trillion for the first time. The company also expects operating profit and net profit to reach record highs.

After the GTC Berlin conference, Nvidia CEO Jensen Huang and Silicon Valley technology investor Gavin Baker spoke with Yahoo Finance for about half an hour. Huang confirmed Nvidia GPUs can remain in service for up to eight years and said their high residual value could help unlock financing for AI infrastructure.

Meta Platforms has launched approximately US$35 billion of concurrent underwritten public offerings and plans an approximately US$60 billion at-the-market (ATM) program, as it funds capex it expects to reach US$135 billion to US$145 billion in 2026. The company said the equity raises complement operating cash flow, investment-grade debt, and strategic partnerships, and will further diversify its funding sources.

Nvidia opened GTC 2026 in Berlin on October 21 with a keynote highlighting AI infrastructure, security architecture, and Physical AI, while a Greenpeace protest briefly interrupted proceedings. A robot demonstration also exposed limits in motion control, instruction comprehension, and execution stability as Europe weighs innovation, energy demand, regulation, and competitiveness.

AWS has launched the open-source TorchNeuron tool, allowing developers to port PyTorch artificial intelligence (AI) applications to its custom Trainium chips without rewriting code. Google has followed with TorchTPU, while AMD and Intel are integrating AI software optimizations as chipmakers challenge Nvidia's market advantage built on the CUDA ecosystem.