Singapore's GIC: Chinese AI Models Will Significantly Drive Down Global Adoption Costs
Claire Weston
GIC Chief Investment Officer Bryan Yeo said Chinese open-weight large language models will significantly drive down global AI adoption costs, calling the trend "actually positive" for the worldwide AI ecosystem.
What trend is GIC flagging?
Bryan Yeo told the Financial Times that GIC has been studying in depth how Chinese large language models are evolving.
The core shift he sees: a growing wave of open-weight models — AI models whose parameters are published for anyone to use and modify — with a significant share coming from China.
This means → a sovereign fund managing hundreds of billions of dollars now treats Chinese AI models as a key variable in the global cost structure.
Why would costs fall?
Open-weight logic: once model parameters are public, companies can fine-tune rather than train from scratch — training and deployment costs drop sharply.
Chinese entrants amplify the effect — more competitors means pricing power disperses away from a handful of closed-source vendors.
In plain terms = top-tier AI used to mean paying one of a few US firms; now Chinese developers are publishing the "answers" openly, and prices follow.
How does Yeo frame the implications?
His words: "We think this is actually positive for the global AI ecosystem, because it will drive costs down."
This reflects GIC's stance: Chinese AI models are not a threat but a catalyst accelerating global AI adoption.
This means → for investors, companies in the AI application layer — not just model trainers — may hit a cost inflection point sooner, potentially pulling forward the timeline for real-world deployment.
Content is for reference only, not financial advice.