Qualcomm's weakening smartphone business is accelerating its transformation into an AI infrastructure supplier, with custom accelerators, server CPUs, and optical connectivity emerging as growth priorities. Following a 26% annual decline in handset chip revenue in fiscal 4Q26, the US chipmaker is targeting US$5 billion in data center revenue in fiscal 2027 and US$15 billion by fiscal 2029. The question is whether these businesses can scale quickly enough to offset pressures in its traditional market.

AI data centers are accelerating demand for high-speed optical communications, extending competition in the optical transceiver market beyond chips and module manufacturing to critical upstream materials. Indium phosphide (InP), a key substrate for high-speed optical lasers and optoelectronic devices, is increasingly sought after as 800G and 1.6T transceivers gain traction. With capacity expansion requiring time and product qualification presenting technical hurdles, securing InP wafer supplies has become a strategic priority for optical communications companies.

Apple reported record revenue for its latest fiscal quarter and forecast another record for the current quarter, attributing nearly all hardware-related pressure to supply constraints. However, supply-chain sources say Apple's internal confidence in sales volumes for its 2026 products is not as strong as the company's earnings presentation suggests.

Although robots received less coverage at Foxconn's 2026 Hon Hai Tech Day (HHTD 26) than in 2025, the company demonstrated the confidence of a global manufacturing leader by looking beyond the humanoid, bipedal form factor. Instead, it highlighted industrial and medical robots, supply-chain partners, and physical intelligence technologies to show how different robotic platforms can serve specialized industries.

Apple is committing more money to research and securing supplies while reducing cash spending on fixed assets, a combination that shows how its AI ambitions and component shortages are reshaping investment. Its November 2 results reveal both a deliberate push into new capabilities and the growing financial burden of keeping devices and services available.

Iluvatar CoreX has reported benchmark results showing its Tiangai 300 AI accelerator outperforming Nvidia's H200 on selected metrics, drawing renewed attention to China's progress in developing domestic alternatives to high-end GPUs. Yet the broader competition extends beyond raw processing power, as Chinese chipmakers seek to narrow the gap with leading international AI computing platforms through chip design, software optimisation and system integration.

Samsung Electronics' contract chipmaking business spent years struggling to fill its factories. On its third-quarter earnings call, the company said that by 2027, demand will exceed capacity across all its nodes below 8nm, which it expects to run at over 100% utilization.

The outlook for AI neocloud providers has sparked a clash between Tesla CEO Elon Musk, who warned that more than 200 such companies could face large-scale failures or consolidation, and Nvidia CEO Jensen Huang, who said during an interview at the GTC Berlin conference that demand for neocloud services has exceeded expectations and current funding shortages will eventually be resolved.

Marvell is reportedly in advanced talks to acquire Lumentum, a major laser supplier, in a deal that could be announced as early as next week if no other technology giant intervenes. Based on Lumentum's current market capitalization of approximately US$83 billion, the transaction would be Marvell's largest acquisition ever.

Oracle will offer cloud services powered by Cerebras' AI computing systems in its cloud data centers starting in 2027, giving the wafer-scale chipmaker another major cloud customer. Although the companies did not disclose Oracle's planned Cerebras hardware purchases, the deal highlights the shift toward diversified AI compute resources as inference demand accelerates.

Nvidia CEO Jensen Huang's visit to Kazakhstan highlights a widening contest over AI computing capacity, as Europe seeks alternatives to infrastructure concentrated in the US and Asia. Kazakhstan, with 21 million people, is developing data centers and pursuing Nvidia partnerships that could position it as a supplier to Europe.

China's luxury car market is undergoing a major brand reshuffle. BMW, Mercedes-Benz, Audi, and Porsche all recorded significant sales or delivery declines in China in the third quarter of 2026, while domestic automakers continued moving upmarket with new energy vehicles (NEVs), smart cockpits, and driver-assistance technology.

Google is now supplying its tensor processing units (TPUs) to companies it competes with, including Anthropic and Apple. On Alphabet's third-quarter earnings call, management gave two reasons: outside customers keep the chips competitive, and outside volume lowers the cost of every chip Google uses itself. However, it would not say how much money the business makes.

Concerns over a potential AI bubble are intensifying. From large language models (LLMs) and AI data centers to humanoid robots, investors are increasingly questioning when massive capital investments will translate into corresponding revenue and profits.

Nvidia has won a CPU supply order from AI startup Modal, challenging Intel and AMD in the server CPU market as it expands beyond GPUs into general-purpose computing. Although Modal's annual revenue is below US$1 billion, and neither the order's value nor its deployment scale has been disclosed, the deal underscores a broader shift in AI infrastructure competition toward full-stack system integration.