Singapore has spent decades selling itself as a place everyone can trust. For AI companies trying to sell into Asia without getting crushed by geopolitics, that promise is suddenly worth real money. Over the past year, OpenAI and Google DeepMind have established applied AI labs in the city-state, while Anthropic advertised local positions across finance, product support, and economic research. Chinese firms have also deepened their investment. And in the middle of this build-out, Fortune points to a blunt reality from Gunja Gargeshwari, the chief revenue officer of Bright Data, who said that it’s “easiest to operate in the region” when you have people in Singapore, “where conversations are happening,” and “where the innovation hubs for different providers are being set up.”

The clearest proof of momentum is how fast companies are actually staffing and spending. Singapore-based AI notetaker company Plaud hired its first Singapore-based employee in 2025. Then on June 10, the company said it would spend 10 million Singapore dollars ($7.8 million) to expand its local operations and plans to grow headcount from 100 to 150 by the end of the year. That’s not PR theater. It’s a wager that Singapore can serve as the operational headquarters for teams who must work across markets, customers, and regulation.

So why is Singapore winning? The article’s answer is a mix of economics and geopolitics. Singapore markets itself as an economic safe haven, emphasizing regulatory clarity and strong governance. During a policy conference last July, Prime Minister Lawrence Wong pushed back on the “boring” narrative by arguing Singapore is stable, predictable, reliable, and trusted, calling those “intangible assets” others would want. For AI founders like Nathan Xu, Plaud’s CEO, the city-state’s education pipeline matters too. Xu’s pitch is specific: Singapore’s biggest pain is hiring the best engineers, and Singapore is home to top universities for software engineering, computer science, AI, data science, and operations. Fortune cites the QS World University Rankings: National University of Singapore ranked #8 and Nanyang Technological University ranked #12.

But even as the AI build-out accelerates, the industry is changing underneath these firms. According to BNY’s wealth analysts in a March report cited by Fortune, the defining feature of the AI cycle through 2025 was capital expenditure. That expanded capacity and helped drive technology leadership, but it also invited skepticism. The pivot now is “decisively from scale to return on investment.” In plain English: more companies are spending less time asking, “Can we build it?” and more time asking, “Can we sell it, and can we keep selling it under the rules?” That’s exactly the kind of environment where a trusted operational hub becomes attractive.

Singapore also fits the launch path for Chinese-origin firms and the expansion math for U.S. firms. Fortune notes that for Chinese tech giants like Tencent and Alibaba, Singapore often serves as a first and crucial step in going global. To build presence, Chinese companies are dangling hefty annual pay packages for PhD holders in AI, with ranges cited at $150,000 to $273,000 for Singapore-based roles. Gargeshwari adds another operational detail: for some Chinese customers, researchers “can’t leave the country without telling the government,” so having a Singapore office and local employees becomes “a necessity.” Meanwhile, U.S. AI firms see Asia Pacific as a massive untapped customer base. OpenAI opened a regional office in Singapore in 2024. Last month, it committed 300 million Singapore dollars ($234 million) to grow the country’s AI ecosystem. It also announced an applied AI lab, its first outside the U.S., aimed at making Singapore a hub for “forward deployed engineers” who embed within customer organizations to customize and deploy solutions. Notion opened a Singapore office in mid-2025 with a similar customer-first rationale: “Our number one priority is to meet and interface with current and potential customers,” Randy Hunt, head of design, said, arguing that an in-person demo “resonates better” than a video pitch.

Still, the same cross-border reality that makes Singapore useful is also what can unravel it. The article flags “cracks in the system” where neutrality is no longer automatic. Manus AI and its parent Butterfly Effect relocated their global headquarters to Singapore in mid-2025 to avoid Western regulatory scrutiny and access global capital. In December, Manus sold itself to Meta for $2 billion. Then Beijing stepped in. The deal was blocked and, in April, ordered unwound. The key line is what regulators focused on. Sebastian Wiendieck, head of legal practice in China at law firm ROEDL, told CNA that regulators “looked straight through the Singapore holding structure to the technology’s Chinese origin.” Fortune summarizes the takeaway as “a new normal,” where any China-founded AI startup, regardless of offshore domicile, faces intense national security scrutiny if it tries to sell to a U.S. buyer because of technology origin and jurisdictional reach.

The U.S. side adds its own constraint. Fortune notes that the U.S. last week barred non-U.S. individuals from using Anthropic’s powerful Mythos model. That raises a practical fear for Singapore’s AI ambitions: the country could lose access to frontier models from U.S. companies like Anthropic and OpenAI. Even so, Singapore is pressing forward. In January, it released its national AI R&D plan along with a 1 billion Singapore dollar injection to fund AI-related infrastructure and capabilities. It also set plans for an AI industrial park called Kampong AI, set to open in 2028 with workspaces and housing facilities to woo AI startups. Xu’s closing note is straightforward: “We feel like we are welcomed here.” He also quantified the speed of change, saying Plaud had “zero people here” a year ago and now has close to a hundred.

For executives and boards, the strategic stakes are simple: Singapore can still be a powerful operational hub, but the real promise is conditional. If your product’s origin, customer destinations, or buyer targets trigger national security scrutiny, offshore structure may not protect you. The best read-through of this story is not that Singapore fails. It’s that everyone investing in “neutrality” needs a second plan for when regulators decide the technology's roots matter more than the paperwork.