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Qwen boss says Chinese AI models have 'less than 20%' chance of leapfrogging Western counterparts -- despite China's $1 billion AI IPO week, capital can't close the gap alone
China's AI sector made a splash this month as a cluster of domestic AI firms raised more than $1 billion through IPOs in Hong Kong. While these listings were undoubtedly meant to signal confidence, they triggered an unusually candid round of warnings from inside China's own AI industry that the gap
[2]
China AI Leaders Warn of Widening Gap With US After $1B IPO Week
The tech leaders are focusing on areas such as next-generation models, multimodality, and real-world agents, and are urging industry peers to work together to push artificial general intelligence further. Some of China's most prominent figures in generative artificial intelligence warned that the
[3]
China is closing in on US technology lead despite constraints, AI researchers say
BEIJING, Jan 10 (Reuters) - China can narrow its technological gap with the U.S. driven by growing risk-taking and innovation, though the lack of advanced chipmaking tools is hobbling the sector, the country's leading artificial intelligence researchers said on Saturday. China's so-called 'AI
[4]
Google DeepMind CEO claims China trails Western AI by only months
Demis Hassabis, CEO of Google DeepMind, stated on CNBC's podcast "The Tech Download" that Chinese AI models trail U.S. and Western capabilities by merely months, countering perceptions of a larger gap. Hassabis made this observation during the podcast, which launched on Friday. He specified that
[5]
China's AI reality check: Why tech leaders say beating US AI giants is unlikely anytime soon
China vs US AI race: China's top AI minds are downplaying hopes of surpassing US rivals soon. Executives from Alibaba, Tencent, and Zhipu AI suggest breakthroughs are unlikely in the next three to five years. Despite strong investor interest and recent IPOs, a significant compute gap remains.
[6]
China is closing in on US technology lead despite constraints, AI researchers say - The Economic Times
China can narrow its technological gap with the US driven by growing risk-taking and innovation, though the lack of advanced chipmaking tools is hobbling the sector, the country's leading artificial intelligence researchers said on Saturday. China's so-called 'AI tiger' startups MiniMax and Zhipu
[7]
China AI models only months behind US efforts, DeepMind CEO tells CNBC By Investing.com
Investing.com-- China's artificial intelligence models may be only months behind U.S. and Western efforts, Demis Hassabis, CEO of Google (NASDAQ:GOOGL) DeepMind, said in a CNBC podcast. Hassabis said Chinese AI models were just "a matter of months" behind the West, and were closer to U.S.
[8]
China is closing in on US technology lead despite constraints, AI researchers say
BEIJING, Jan 10 (Reuters) - China can narrow its technological gap with the U.S. driven by growing risk-taking and innovation, though the lack of advanced chipmaking tools is hobbling the sector, the country's leading artificial intelligence researchers said on Saturday. China's so-called 'AI
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Despite raising over $1 billion through IPOs in Hong Kong, China's top AI executives admit the country faces a widening gap with US counterparts. Alibaba's Qwen chief puts the odds of leapfrogging OpenAI and Anthropic at less than 20% over the next three to five years, citing compute shortages and US export controls as critical bottlenecks that fresh capital cannot solve.
China's AI sector made headlines this month as domestic firms including Zhipu AI and MiniMax collectively raised more than $1 billion through IPOs in Hong Kong
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. MiniMax shares more than doubled on their Friday debut, while Zhipu climbed 36% since its Thursday launch2
. Yet behind the market euphoria, a remarkably candid assessment emerged from the country's own AI leaders: the US-China AI race is tilting further in America's favor, and capital alone cannot reverse the trajectory.
Source: Bloomberg
Justin Lin, technical lead for Alibaba's Qwen open-source models, told attendees at the AGI-Next summit in Beijing that Chinese companies have "less than 20%" chance of leapfrogging the likes of OpenAI and Anthropic with fundamental breakthroughs over the next three to five years
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. His assessment was echoed by Tang Jie, founder and chief AI scientist at Zhipu AI, who warned that "the gap may actually be widening" despite recent progress in Chinese AI models2
. Yao Shunyu, who recently joined Tencent from OpenAI as chief AI scientist, shared similar concerns about the AI gap3
.The Chinese AI firms IPO wave reflects Beijing's policy shift toward domestic financing for AI and semiconductors, reducing reliance on U.S. capital markets
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Source: Reuters
But these listings cannot address the sector's most critical constraint: access to advanced computing power. Lin explained that "a massive amount of OpenAI's compute is dedicated to next-generation research, whereas we are stretched thin—just meeting delivery demands consumes most of our resources"
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. He noted that U.S. computer infrastructure is "likely one to two orders of magnitude larger than ours"3
.US export controls have severed China's access to Nvidia's most capable GPUs and the advanced lithography equipment needed to produce equivalents at scale
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. Yao identified "lithography machines" as the main technical hurdle, though he noted China has advantages in electricity and infrastructure3
. Domestic alternatives like Huawei's Ascend series lag behind current-generation U.S. hardware in raw performance and are produced in far smaller volumes1
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Source: ET
These hardware constraints force Chinese developers into a tradeoff their U.S. counterparts avoid: they can train more models or larger models, but not both simultaneously
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.China has made notable progress with open-source foundation models. The breakout success of DeepSeek's R1 model in early 2025 spurred Chinese firms from Alibaba to startups like Zhipu to open-source their latest iterations, helping Chinese AI models close much of the performance gap on standardized benchmarks
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. Models like Qwen have demonstrated particular strength in Chinese-language tasks and domain-specific applications1
.Yet even Google DeepMind CEO Demis Hassabis, while acknowledging that Chinese AI models now trail Western capabilities by "only a matter of months," questioned whether China can achieve frontier innovation beyond incremental advances
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. "The question is, can they innovate something new beyond the frontier?" Hassabis asked, noting China has shown it can "catch up and be very close to the frontier" but hasn't yet demonstrated the ability to pioneer breakthroughs like the transformer architecture that originated from Google researchers in 20174
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Facing these constraints, Chinese AI leaders are calling for cooperation rather than internal rivalry. Tang urged peers to avoid "meaningless internal competition," stating "we should represent China to push AGI further for the world"
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. Yao urged industry peers to focus on bottlenecks of next-generation models such as long-term memory and self-learning2
.The strategic shift is evident in how firms are deploying resources. Yao said Tencent is leveraging AI to generate value for its massive user base by linking its Yuanbao assistant with WeChat chat history
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. Lin highlighted Alibaba's focus on multimodality and real-world agents2
. Several firms are shifting emphasis from general-purpose foundation models toward narrower, application-specific systems that require fewer resources to train and deploy1
.Analyst Richard Clode of Janus Henderson expects the gap to widen further, telling CNBC that "superior U.S. AI infrastructure starts iterating those models and starts making those models more capable over time in years to come"
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. For Chinese firms, the IPOs represent an endurance tool to sustain domestic AI development under constrained conditions rather than a shortcut to surpass Western AI companies1
. Tang did note one positive development: the willingness of younger Chinese entrepreneurs to embrace high-risk ventures, a trait traditionally associated with Silicon Valley3
.Summarized by
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