OpenAI Expands into Singapore

marsbitPublished on 2026-05-21Last updated on 2026-05-21

Abstract

OpenAI has established its first applied AI laboratory outside the United States in Singapore, backed by an investment exceeding SGD 300 million (approximately USD 234 million). This new lab, part of a strategic partnership with Singapore's digital development agency, aims to strengthen the local AI ecosystem and support clients across the Asia-Pacific region. It plans to hire over 200 staff to work on national priorities like education, public services, finance, and healthcare, including training programs for mid-career engineers. In parallel, Singapore has also forged a new national AI partnership with Google, focusing on tackling societal challenges, building an AI-ready workforce, and fostering enterprise innovation. This builds upon existing collaborations and aligns with Singapore's broader national AI strategy, which commits over SGD 1 billion to boost public-sector AI capabilities between 2025 and 2030. These moves underscore Singapore's push to solidify its position as a global AI hub.

At the ATxSummit held in Singapore, OpenAI signed a memorandum of understanding with Singapore, announcing the start of an in-depth strategic collaboration.

According to a joint statement released on Wednesday (May 20) by ChatGPT developer OpenAI and Singapore's Ministry of Digital Development and Information, OpenAI will invest over 300 million Singapore dollars (approximately 234 million USD) to establish an 'Applied AI Lab' in the region, aiming to strengthen Singapore's artificial intelligence ecosystem.

Cutting-edge Deployment

The establishment of OpenAI's Singapore Applied AI Lab marks the company's first such lab outside the United States. Following the opening of the OpenAI Singapore office in 2024, this latest move is designed to support clients and partners in the Asia-Pacific region.

In addition to investment in infrastructure, talent strategy is also a key focus of this collaboration. The new lab is expected to hire over 200 people in the coming years, aiming to help local partners leverage cutting-edge artificial intelligence to enhance daily economic capabilities.

This work will cover national priorities such as education, public services, finance, healthcare, digital infrastructure, as well as training programs for mid-career engineers. Furthermore, broader 'AI for Everyone' initiatives will facilitate the company's collaboration with various parties to develop AI startup accelerators and citizen-centric applications.

Technology and Talent in Parallel

On Wednesday, in addition to announcing the agreement with OpenAI, Singapore also established a new national AI partnership with Google. Although Google's statement did not include an investment commitment, the company stated its main focus would be on solving societal challenges, building an AI-ready workforce, driving corporate innovation, and constructing a safe AI ecosystem.

Google's agreement will focus on training government researchers to use embodied AI tools for scientific research. It will also collaborate separately with the Ministry of Education to provide training for educators.

Google will also explore collaboration opportunities in fields such as healthcare and life sciences through its 'Global AI for Healthcare Research Initiative'. This includes researching how AI can enhance doctors' professional capabilities and how AI agents can help support patients.

This agreement builds upon the long-term AI collaboration between Singapore and Google signed in 2022, aimed at strengthening cooperation in the field of artificial intelligence. Google DeepMind had already opened its AI research lab in Singapore in November last year.

Currently, Singapore is attempting to secure a position in the global AI race. To this end, it is continuously consolidating its status as a global AI hub by developing and testing AI, among other means, and accelerating AI deployment in public services, healthcare, education, and the corporate sector.

The respective collaborations reached by OpenAI and Google in Singapore primarily rely on Singapore's broader National AI Strategy. This strategy includes an investment commitment of over 1 billion Singapore dollars over a five-year period from 2025 to 2030 to enhance public AI research capabilities.

This article is from the WeChat public account "科创日报," author: Zhou Ziyi

Conversation with Charles Zhang: Amidst the AI Frenzy, Why Pursue 'Anti-Efficiency' Content?

Dialogue with Charles Zhang: In the Era of AI's Sprint, Why Create "Anti-Efficiency" Content Standing out among China's early internet pioneers, Charles Zhang, founder and CEO of Sohu, maintains a distinct personal identity. He keeps a consistent public presence and embodies traits of high-energy individuals: sleeping only 4-5 hours daily, running 5km or marathons, and hosting frequent offline tech forums and dialogues with Nobel laureates. He has shifted focus from external business expansion to internal self-reconstruction, adhering to his own pace. "People aren't afraid of being busy; the busier you are, the better your health. Having nothing to do can lead to emotional issues and poor health." Marking the 10th anniversary of his live-streamed "Charles Zhang's English Class," he recently took it offline for a real-world classroom session. Following this, he discussed the course's decade-long journey, Sohu Video's content ecosystem, and the value of content in the AI era. **Pen and Mouth Diligence: A Class Against Instant Mastery** His English class began in August 2016 on "Qianfan Live." He spends about 40 minutes daily preparing, reviewing dozens of news headlines, reading five in detail, and selecting three for the lesson. Over ten years, he has completed over 2000 live sessions totaling more than 110,000 minutes, with over 52 million views. Initially, the stream was a way to "talk more" and combat emotional struggles. He started by repeating after TV news anchors, then moved to live-streaming with the launch of Qianfan Live. It was 40% for personal emotional regulation ("like a monk chanting sutras"), 30% to deliver authentic news, and 30% to promote the new platform. This daily "ritual" helped him overcome depression, leading to what he calls his "peak life state." From a product perspective, it was counter-intuitive—launched without prior market research or growth strategies, based on the founder's personal need that resonated with users. Yet, his content creation follows a strict routine. The decade of covering geopolitics, economics, tech, health, and society has built a vast "knowledge compound interest" system. In an age of AI summaries and algorithmic content, Zhang insists on "hard work": meticulous reading, handwritten notes, and manually created teaching materials, refusing AI-generated content. The English class is now a fixed daily rhythm; preparing for his weekly physics class requires a full day of solitary deduction on a blackboard. In his live streams, Zhang positions himself as a "content creator," not a CEO or teacher. He sees physics as extreme brain training and English as a "sensor" to understand the world. This explains why a top entrepreneur persists for a decade in seemingly "unprofessional" pursuits—it's the information input and psychological healing method he found during a low point. It's fundamentally an "anti-efficiency" commitment. He believes the meaning of reading lies in finding community and spiritual support, not just fleeting conversation points. For today's media, he states: "Reading news isn't the goal. As humans with many confusions, we need reference points, to find a group, find kindred spirits, or seek support and spiritual nourishment. Large language models can't satisfy these starting points; they only give you information." This offers solace and a value defense for media professionals impacted by AI summaries. **"Don't Think Earth Stops Turning Because AI Arrived"** A content creator expressed anxiety: after feeding their article to AI, it produced a more comprehensive, profound version, making their work feel valueless. Zhang responded with an analogy: "Carrots from the market, with a bit of soil, not glossy, taste delicious and flavorful. Tomatoes forced by chemical fertilizer have no taste at all." He sees AI giving world content a "plastic feel," but acknowledges its significant role in improving information access efficiency, especially in physics and social science research where he often queries AI for quick professional answers. The key, Zhang stresses, is that the outside world still needs to guide our perspective. LLMs provide "information," while the outside world offers "viewpoints." He cares deeply about *what* that external viewpoint is and *how* someone thinks about an issue. "Don't think the Earth stops turning because AI arrived," he analyzes. AI currently replaces rule-based work, noting significant impact on the software industry with many programmers laid off as even less experienced people can now write decent code. However, AI cannot yet replace arts, social sciences, emotions, and creative content. "Hollywood remains thriving, producing great works. Oscars will continue, Nobel Literature Prizes will still be awarded—all by real people, with works conceived by real people." While wary of AI, Zhang isn't anti-technology and is open to its applications. Sohu itself has launched AI assistants. In Sohu's AI practice, Zhang defines his role as a "large language model corpus provider." He believes LLM training is inseparable from human-original content as its data foundation, so original content retains irreplaceable value. "The era of self-media indeed offers everyone new ways to discover their strengths and achieve growth." He suggests every young person should consider self-media. Most importantly, the bottom line of content creation should be "authenticity." If using AI avatars, they must be clearly labeled; not doing so and misleading viewers wastes their time, especially when people still prefer real human content. Behind AI's sprint lie unavoidable realities. As AI quickly provides seemingly perfect answers, people grow accustomed to accepting "summarized" results, omitting processes of questioning, deduction, and trial-and-error, leading to a decline in deep thinking. Zhang's "anti-efficiency" practice with his two live-streamed classes is his answer to AI's狂奔: In an algorithm-driven era chasing ultimate efficiency, don't expect AI to fill inner voids. Read books, speak in front of a camera, sweat on a running track, and build connections with real people.

marsbit1m ago

Conversation with Charles Zhang: Amidst the AI Frenzy, Why Pursue 'Anti-Efficiency' Content?

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