Taiwan's Foxconn, the world's largest contract electronics manufacturer, reported second-quarter net profit that jumped 35 percent year-over-year, driven by insatiable demand for AI servers that shows no sign of slowing as hyperscalers race to expand capacity.
The company, formally known as Hon Hai Precision Industry, said revenue from its cloud and networking products — which includes the high-performance servers powering generative AI workloads — rose sharply during the quarter. Foxconn now expects AI server shipments to surge more than 170 percent in the third quarter compared with the prior year, underscoring how quickly the segment has become the company's most important growth engine.
The results reflect a broader shift in Foxconn's business model. For decades, the company was best known as Apple's primary iPhone assembler. While consumer electronics still account for a significant share of revenue, AI infrastructure has emerged as the fastest-expanding category, with margins that often exceed those of traditional smartphone assembly.
Foxconn has been investing aggressively to capture the opportunity. The company is building new production lines in Mexico and Taiwan dedicated to Nvidia-based GPU servers, and it has secured orders from all of the major North American cloud providers. Analysts say Foxconn's scale and manufacturing expertise give it a structural advantage in a market where delivery times for AI servers can stretch to several months.
The earnings report arrives amid a heated debate about whether AI capital spending is sustainable. While some investors have grown nervous about returns on the massive data center investments made by Microsoft, Amazon, and Google, Foxconn's numbers suggest that demand at the hardware layer remains robust. The company's guidance for the current quarter implies that the AI server cycle still has room to run.
Foxconn shares rose in Taipei trading following the release, extending a rally that has seen the stock gain more than 60 percent this year. The company said it would continue to allocate capital toward AI-related manufacturing capacity, a signal that management sees the current boom as more than a temporary spike.