NEWSAR
Multi-perspective news intelligence
SRCSouth China Morning Post
LANGEN
LEANCenter-Right
WORDS190
ENT4
TUE · 2026-01-20 · 00:30 GMTBRIEF NSR-2026-0120-8823
News/China challenges US in AI drug race, but rivals still relian…
NSR-2026-0120-8823News Report·EN·Technology

China challenges US in AI drug race, but rivals still reliant on each other

China is emerging as a competitor to the US in the field of AI-driven drug discovery, according to Leung Chuen-yan, a private equity investor. While both countries utilize similar AI methodologies in drug development, a truly multimodal AI model capable of integrating diverse data types globally is still lacking.

Julie ZhangSouth China Morning PostFiled 2026-01-20 · 00:30 GMTLean · Center-RightRead · 1 min
China challenges US in AI drug race, but rivals still reliant on each other
South China Morning PostFIG 01
Reading time
1min
Word count
190words
Sources cited
1cited
Entities identified
4entities
Quality score
100%
§ 01

Briefing Summary

AI-generated
NEWSAR · AI

China is emerging as a competitor to the US in the field of AI-driven drug discovery, according to Leung Chuen-yan, a private equity investor. While both countries utilize similar AI methodologies in drug development, a truly multimodal AI model capable of integrating diverse data types globally is still lacking. US pharmaceutical companies are increasingly relying on Chinese clinical data, reflecting growing trust in its alignment with global datasets. Chinese biotech firms are also collaborating with international pharmaceutical companies to commercialize their drugs in global markets. This reliance highlights the interconnectedness of the US and China in advancing AI-driven drug discovery despite their competition.

Confidence 0.90Sources 1Claims 5Entities 4
§ 02

Article analysis

Model · rule-based
Framing
Technology
Economic Impact
Tone
Measured
AI-assessed
CalmNeutralAlarmist
Factuality
0.70 / 1.00
Factual
LowHigh
Sources cited
1
Limited
FewMany
§ 03

Key claims

5 extracted
01

Advantage in AI drug discovery depends on computing prowess and data mining ability.

quoteLeung Chuen-yan
Confidence
0.90
02

Chinese biotech firms are working with global pharmaceutical firms to commercialise their drugs in international markets.

factual
Confidence
0.80
03

China has emerged as a credible challenger to the US in AI-driven drug discovery.

factual
Confidence
0.80
04

People are increasingly trusting Chinese data more as it aligns with globally generated data.

quoteLeung Chuen-yan
Confidence
0.70
05

US pharmaceutical players are deepening their reliance on China’s clinical data.

factual
Confidence
0.70
§ 04

Full report

1 min read · 190 words
China has emerged as a credible challenger to the US in artificial intelligence-driven drug discovery, where advantage depends not only on computing prowess but also on the ability to effectively mine data, from genomes to clinical trial results, according to Leung Chuen-yan, a private equity investor and life sciences scientist.“Globally, the way companies develop and use AI to discover drugs is similar, from finding the drug target and designing the molecule to planning clinical trials,” said Leung, a partner for healthcare investment at Hong Kong-based Value Partners Group, in a recent interview with the Post. “There isn’t an AI model yet that is truly multimodal around the world, which can jump from DNA and imaging [molecules] to delivering clinical trial reports.”While the first step in training such models is data collection, including consolidating information siloed across different countries, US pharmaceutical players are deepening their reliance on China’s clinical data.“People [are increasingly trusting] Chinese data more as it aligns with globally generated data,” said Leung, son of former Hong Kong chief executive Leung Chun-ying.Chinese biotech firms are working with global pharmaceutical firms to commercialise their drugs in international markets. Photo: Shutterstock
§ 05

Entities

4 identified
§ 06

Keywords & salience

9 terms
ai drug discovery
1.00
artificial intelligence
0.90
china
0.80
us
0.70
clinical data
0.60
pharmaceutical
0.60
clinical trials
0.50
biotech
0.40
data collection
0.40
§ 07

Topic connections

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