For Wistron chair Simon Lin, overseeing one of many largest development tales in world tech is all about being in the precise place on the proper time—and making the precise guess.
Eight years in the past, the Taipei-based electronics producer hitched its star to Nvidia. Because the chipmaker’s fortunes have soared within the AI age, so too have these of the far lesser-known firm that obtained its begin as a by-product of laptop computer maker Acer and now builds the servers that maintain Nvidia’s chips.
Wistron reported $70.2 billion in income in 2025, greater than double the 12 months earlier than. Servers accounted for 70% of whole gross sales. Within the first half of 2026, income already hit $55 billion. (Wistron is No. 198 on this 12 months’s Fortune World 500, an increase of 298 spots from the 12 months earlier than; it’s the most important bounce on this 12 months’s rating.)
Wistron’s destiny illustrates how the AI wave is reaching past trillion-dollar chipmakers and LLM builders to elevate the corporations manufacturing the {hardware} behind the revolution. But it surely’s a basic company comeback, too; Wistron teamed up with Nvidia on the lowest level in Wistron’s historical past, then rode the AI growth into a brand new period of development.
“Even throughout darkish instances, that you must make your self prepared for any change sooner or later,” Lin says.
Lin, 72, has been within the pc trade for many years. He joined Acer in 1979, a number of years after its founding. He’s the person credited by Acer cofounder Stan Shih with coining the “smiling curve” financial mannequin, which posits that the bottom margins are discovered in the course of the availability chain—specifically, in meeting and manufacturing—whereas greater margins accrue at both finish: throughout design and at closing retail.
In 2001, Shih determined to spin off Acer’s manufacturing division into its personal firm, Wistron, and named Lin chair and CEO. Since then, Wistron has been making an attempt to flee the underside of the smiling curve by transferring away from assembling computer systems towards conceiving complete AI techniques. (Lin stepped down as CEO in 2022.)
Early on, Wistron made PCs for different manufacturers, a commoditized, low-margin product. A turning level arrived in 2007, when Apple unveiled the iPhone. Wistron was “caught within the center,” Lin remembers in July from Wistron’s workplace in a leafy suburb north of Taipei. “The PC enterprise was now not as robust, and smartphones weren’t our essential focus.”
Wistron briefly dabbled in smartphones. It launched one among India’s first iPhone factories in 2017. However by 2023, it had exited the enterprise amid low margins and following labor unrest at its Karnataka, India, plant.
The departure from smartphones, it turned out, would free Wistron to shift focus to one thing much more worthwhile.
Nvidia has been a Wistron buyer for nearly a decade. Initially, it helped manufacture Nvidia’s graphics playing cards, the processors that energy pc video games; this proved to be a higher-margin enterprise than abnormal PCs.
Then, in late 2022, OpenAI unveiled ChatGPT. Demand for Nvidia’s processors, wellsuited to coach giant language fashions, skyrocketed. Nvidia rushed to longtime companions like Wistron to construct ever extra highly effective AI servers that stacked a number of processors in large, refrigerator-size racks.
Lin needed to discover new manufacturing unit house, rent new expertise, and navigate new provide chains. “These aren’t strategic choices however moderately very sensible challenges, day and evening,” he says.
As quickly as Wistron inaugurated a state-of-the-art 287,000-square-foot server plant within the northwest Taiwanese metropolis of Zhubei final 12 months, Nvidia booked all its capability by 2026. Wistron instantly leased a close-by textile manufacturing unit for a rapid-fire conversion to make much more AI servers.
The velocity of change has unsettled even Lin. “Up to now, one server era usually lasted about two and a half to 3 years. You’d spend roughly a 12 months designing a product, then it will keep out there for about two years,” he says. “With AI, not solely are there new merchandise yearly, however every era is a revolutionary leap.”
Outdoors of Taiwan and mainland China, Wistron operates services in Vietnam, Malaysia, Mexico, Brazil, the Philippines, and the Czech Republic. But its most consequential new bets could also be two complexes close to Fort Price, protecting 1.09 million sq. toes and devoted to assembling Nvidia AI supercomputers.
Wistron had been weighing a transfer to the U.S. for years however made the $761 million funding official final August, as President Donald Trump threatened a 32% tariff on imports from Taiwan.
Trump often accuses Taiwan of “stealing” from the U.S. chip trade, however Lin says the U.S. deficit in chip infrastructure is its personal doing: “They threw it away,” he says. “Not stealing, okay?”
Wistron began from sq. one in Texas. “All of the tools we wanted needed to be shipped from Southeast Asia, as a result of we couldn’t purchase it within the U.S.,” he says. Wistron educated employees “from scratch,” he says. “It merely requires extra time, however the basis is sweet.”
Dodging Trump’s tariffs motivated Wistron to assemble its Texas factories, that are anticipated to create over 800 jobs, however a U.S. footprint has different perks, too. For one, AI servers are heavy, generally upwards of six tons, which could be arduous to move through air or ship.
“Even when this resolution was barely pressured by tariffs, it grew to become an inexpensive one in a while,” Lin says.
Lin referred to as himself a “considerably lazy CEO” in an handle to graduates in 2024. He grimaces when it comes up now. What he meant was that he chooses to give attention to a number of issues moderately than spreading his consideration too skinny.
Lin would moderately describe himself as a helpful corrective to groupthink. “When the corporate is doing properly, I act as a satan’s advocate. I attempt to remind the administration group the place we could possibly be flawed,” he says. “When folks really feel discouraged or the corporate goes by a troublesome time, I tackle the position of a cheerleader. I all the time say, ‘Tomorrow shall be higher.’”
For an exec who owes his agency’s frenzied development to AI, Lin admits he doesn’t depend on the expertise all that a lot: He primarily makes use of it for analysis.
“I’m unsure whether or not it’s so clever [that] it might probably change me to decide,” he says.
This text seems within the August/September 2026 challenge of Fortune with the headline “Simon Lin’s early guess made Wistron an unsung winner of the AI growth.”
