Artificial Intelligence Chips

The US government is committing $250 million to a chip manufacturing startup backed by a high-profile billionaire investor, continuing the CHIPS Act-era strategy of deploying public capital to accelerate domestic semiconductor capacity outside the established TSMC and Intel duopoly. The bet reflects a specific lesson from the Apple price story above: memory and logic chip shortages are now a consumer-facing problem, not an abstract supply-chain risk, and Washington has decided that tolerating that vulnerability is more expensive than subsidising the fix. The question every investor in European chip equipment companies should be asking is whether ASML and Infineon are supplying into the beneficiary's fab plan or being deliberately routed around.

The semiconductor giant's shares fell 15 percent in after-hours trading despite reporting 48 percent revenue growth and AI chip revenue that more than doubled to $10.8 billion. The sell-off came after management's forward guidance fell short of the most bullish investor expectations for AI growth acceleration. The broader market followed, with the Nasdaq falling 1.8 percent as investors questioned whether AI valuations had outpaced fundamentals. Broadcom's stumble illustrates how even strong AI results can trigger massive losses when growth trajectories disappoint hyped-up expectations.

Nvidia posted record quarterly revenue of $81.6 billion, up 85% year-on-year, as data center sales hit $75.2 billion on explosive demand for AI agents and generative AI workloads. The company has cycled past last year's $4.5 billion inventory charge on China-targeted H20 chips, with gross margins recovering to the mid-70% range as Blackwell platform sales scale. Revenue has grown 10x in three years, reshaping semiconductor power dynamics and making Nvidia the de facto standard for AI infrastructure from hyperscalers to enterprises.

Intel stock gained after Musk confirmed his planned Terafab facility will use Intel's most advanced manufacturing processes. The endorsement provides Intel with a marquee customer for its foundry ambitions, crucial as the company fights TSMC for AI chip production contracts. Musk's public backing could help Intel win other hyperscaler customers who have been skeptical of its foundry capabilities. The partnership also gives Tesla direct access to cutting-edge chip production, reducing dependence on NVIDIA's supply chain for AI hardware.

China's semiconductor companies are pivoting to AI inference chips designed specifically for token-based computing, creating unexpected winners as Western export controls reshape the market. Companies like Biren Technology and Cambricon are targeting the exploding demand for high-throughput token processing rather than competing directly with Nvidia's training chips. The token economy architecture requires different chip designs optimized for parallel processing over raw compute power, giving Chinese firms a cleaner competitive slate.

Anthropic committed $21 billion to Broadcom for nearly one million Google-designed TPU v7p AI chips, delivered as fully assembled rack systems for direct data center deployment. The deal bypasses Google as an intermediary and forms part of Anthropic's broader $10 billion commitment to Google's TPU infrastructure as the Claude maker scales from $1 billion to $7 billion in annualized revenue in nine months. Broadcom CEO Hock Tan is targeting $100 billion in AI chip revenue by 2027, positioning the company as a key alternative to Nvidia's GPU dominance through custom silicon partnerships.