Intel CEO: China's Adoption of Frontier AI Models Is "Very Fast"
nashnova research
Intel CEO Lip-Bu Tan said China's frontier AI models offer lower inference costs and are being adopted 'very fast,' while predicting quantum computing will go mainstream within three to five years.
What makes China's AI models stand out?
Tan named DeepSeek, Kimi, and GLM, calling their performance "good enough."
He highlighted their lower inference token costs. This means → users pay less to run the same tasks, and that price edge is accelerating adoption.
He described China's uptake speed as "very fast." In plain terms = the market isn't waiting for a technology verdict — cheap and capable wins buyers now.
Why is he backing open source?
Tan called himself a firm supporter of open-source models, arguing open source is the best path to efficiency.
This reflects a broader signal: Intel's chief is betting on open ecosystems outrunning closed moats.
He added that the market will ultimately decide which models win in which use cases — real-world adoption, not policy, picks the winners.
How close is quantum computing?
Tan predicted quantum computing will enter the mainstream within three to five years.
This means → on his timeline, quantum is no longer a distant horizon — the countdown has started.
He also stressed that software will be key to improving infrastructure utilization. In plain terms = hardware alone isn't enough — software is what turns raw compute into real output.
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