Cryptopolitan
2025-11-05 09:25:37

Nvidia’s Foxconn posts 11% jump to $67.7 billion in Q3 on booming AI server demand

Foxconn brought in NT$2.06 trillion ($67.7 billion) in revenue in the third quarter of 2025, with growth powered by an explosion in demand for AI servers. In October alone, the Taiwanese hardware giant posted NT$895.7 billion ($29 billion) in sales, up 11.3% year-over-year, keeping pace with the revenue growth it recorded during the September quarter. That number is expected to climb even higher, as executives forecast a 15% increase in sales for the final quarter of the year, as AI spending keeps climbing across Big Tech. The company, officially named Hon Hai Precision Industry Co., builds the back-end server infrastructure where Nvidia chips operate. It’s one of the most critical suppliers in the AI chain right now, especially as companies like Meta and OpenAI dump billions into data center builds. But those companies still haven’t turned that spending into actual earnings. That hasn’t slowed Foxconn down. Every order for accelerators turns into orders for the servers they sit in, and that’s where Foxconn comes in. Foxconn adds AI server lines in Wisconsin and Texas Despite still pulling a large part of its revenue from building Apple’s iPhones , Foxconn is now more plugged into the AI boom than ever. With iPhone sales stuck at a plateau, the company has shifted focus toward AI-driven demand. Executives said new capacity is being added in Wisconsin and Texas, where Foxconn already runs existing plants. The new U.S. production will focus specifically on AI servers, and both Apple and Nvidia are involved in the expansion strategy. Earnings for Q3 are expected to drop later this month. But Foxconn’s messaging suggests a strong quarter, especially as AI infrastructure continues to pull in cash from every major tech platform. The company’s value in the AI race is its ability to deliver high-volume compute hardware fast, at a time when demand is overwhelming supply. At the Global Management Dialogue held in Tokyo, Foxconn Chairman Liu Young-way said the company is pulling production out of China as part of a major global restructure. Three years ago, nearly all of Foxconn’s manufacturing happened in China. Now, 65% remains there, with the rest now spread across Vietnam, India, and Mexico. “We’ve established regional headquarters in these areas,” Liu said, explaining that the goal is to manage local relationships with both governments and business partners more effectively. Liu also addressed the changes generative AI is bringing to the production cycle. “When generative AI happened, that was really disruptive,” he said. “None of us can escape from this change. It will impact all industries.” He added that Foxconn is exploring how to use generative AI internally to shorten the time it takes to develop and ship new technologies. AI demand hits record highs, Microsoft warns of data center strain Takeshi Numoto, Chief Marketing Officer at Microsoft, said AI is spreading faster than the cloud or the internet ever did. He pointed to Microsoft’s internal strategy of acting on early signals in the market, driven by what he called a “culture of curiosity.” Takeshi said the company will double its data center capacity in two years, but pushed back against concerns about a bubble, saying the investment is based on real signals from customers. Joaquin Duato, CEO of Johnson & Johnson, said AI will transform medical research, particularly in imaging and diagnostics, and could turn some cancers into manageable chronic illnesses. He also said the company is focused on eventual cures. Ryan Charland, head of Manulife Japan, said AI will not eliminate human roles in financial services. He said it can be used to equip advisors with customized talking points and fill trust gaps by improving how they explain complex financial topics. “Human connection remains critical,” said Ryan, adding that AI can support advisors in improving financial literacy. Want your project in front of crypto’s top minds? Feature it in our next industry report, where data meets impact.

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