Singapore Picks Alibaba’s Qwen to Drive Regional Language Model
The Singapore government-backed research agency AI Singapore has selected Alibaba Group’s “Qwen” model to train its next-generation multilingual language model — marking a significant move in Asia’s AI ecosystem. South China Morning Post What happened According to a report, AI Si…

By
Tom Whitmore
Published
Nov 26, 2025
Read
1 min

The Singapore government-backed research agency AI Singapore has selected Alibaba Group’s “Qwen” model to train its next-generation multilingual language model — marking a significant move in Asia’s AI ecosystem. South China Morning Post
What happened
According to a report, AI Singapore has opted for Alibaba’s Qwen platform as a backbone for a “regional language model” aimed at supporting Singapore’s multi-language environment and by extension Southeast Asia. The decision underscores a push by Singapore to build localised AI capabilities — especially those that support regional languages.
Strategic significance
Broader regional context
This fits with broader research showing businesses in Singapore are already reporting returns on AI investment — e.g., organisations spending S$18.9 million this year on AI, reporting 16 percent average returns, expected to rise to 29 percent within two years. SAP News Center Similarly, the digital economy across ASEAN is projected to grow strongly, propelled by AI-powered e-commerce and video commerce. Thailand Business News
Key challenges & questions
Implications for your audience
For your article series or consultancy offering (on technology transformation), this is a strong story: how regional markets like Singapore (and neighbouring markets such as Thailand, Malaysia, Indonesia) are moving from “adopters” to “builders” of AI infrastructure. Key take-aways for business-leaders:
For a deeper article
You might consider a feature titled: “From consumer AI to enterprise AI in Southeast Asia: Why local language models matter” — and benchmark Singapore’s Qwen move against Thailand, Malaysia, Vietnam and Indonesia’s AI readiness. If you like, I can draft a proposed outline for that.

Written by
Tom Whitmore
Senior correspondent · Technology & Energy
Tom trained as an electrical engineer, which makes him unusually patient with infrastructure stories. He reports on AI, cloud, the energy transition, and the businesses turning frontier engineering into real cash flow. Previously he covered the chip supply chain from Taipei. Skeptical of slide decks; comfortable in a substation. Based in Singapore. Reach out at tom.whitmore@theplatinumcapital.com.




