China's edge in the global AI race may not just be chips, models or state support. It may also be a public and workforce that appear more ready to use AI than many Western peers.
That matters because adoption is where AI stops being a demo and starts becoming an economy. The latest public opinion data does not show a world moving toward AI at the same speed. It shows a split, with China and several emerging markets looking more comfortable with the technology while the U.S., Britain and much of Europe remain more anxious about what it will do to jobs.
According to Stanford's 2026 AI Index, which draws on Ipsos, KPMG and University of Melbourne survey data, China is among the countries where excitement about AI is highest and nervousness remains below 50%. The same report said 78% of Chinese respondents believed AI would reduce the time it takes them to get things done, well above the global level.
The workplace numbers are even more revealing. A University of Melbourne and KPMG International survey of more than 48,000 people across 47 countries found that over 80% of employees in China, India, Nigeria, the United Arab Emirates and Saudi Arabia reported using AI at work on a regular or semiregular basis. Globally, the figure was 58%. That gap is not just a mood indicator. It is a measure of how fast new tools are entering ordinary workflows.
There are caveats. Stanford noted that online surveys can overrepresent younger, urban and more educated respondents in emerging economies, which means the figures should not be read as a perfect national snapshot. But even with that limitation, the direction is hard to ignore. China appears to have a larger base of workers who are already familiar with AI and more inclined to see it as useful.
That gives Chinese firms a practical advantage. Businesses can experiment faster when employees are less defensive and more willing to treat AI as a tool rather than a replacement. The result is not necessarily better innovation by itself, but a faster path from model release to real-world deployment in offices, factories, schools and service businesses.
A wider policy backdrop
China has spent the past year leaning harder into AI as an economic tool, not just a technical milestone. Reuters reported in March that Chinese policymakers and company executives were pitching AI as a source of new jobs and productivity, part of a broader attempt to offset an ageing workforce and slower growth. That political framing matters, but it only works if people are ready to buy in.
The country's latest five-year policy push makes that ambition explicit. Beijing wants AI deployed across the economy, including through AI agents, robotics and applications in sectors facing labour shortages. This is a broad bet on diffusion. The strategy is not only to build better models, but to make AI part of the machinery of growth.
At the same time, the government still has to manage the social costs. China's graduate job market is already under pressure, and AI could make entry-level white-collar work more competitive. Courts, regulators and employers will have to decide where productivity gains end and unlawful replacement begins. That tension is central to the story. Beijing wants AI to raise output, but it cannot afford a labour market that feels abandoned.
This is where public optimism becomes useful. If workers believe AI will help them save time, improve output or open higher-skilled work, they are more likely to tolerate retraining and job redesign. If they see only a threat, adoption slows. Managers hesitate, universities delay instruction, and employees use the tools quietly or not at all.
The contrast with the West is sharp. King's College London reported this month that seven in 10 people in the UK are worried about AI's economic impact, while six in 10 think it will eliminate more jobs than it creates. Reuters also reported in May that young Americans are increasingly anxious and angry about AI, with recent commencement speeches drawing boos when speakers framed AI disruption as unavoidable.
None of this guarantees China will win the AI race. Chips, compute, research talent, export controls and capital still matter enormously. So do trust, data protection and the quality of the tools being deployed. But public acceptance is not a trivial variable. It shapes how quickly a country can absorb new technology into daily work.
And in AI, speed counts. A country where workers expect change is better placed to turn that change into productivity. China's advantage, at least for now, may be that many of its citizens are not waiting for AI to arrive. They already seem to believe it is here, and useful, which is exactly the kind of mindset that can make a national AI strategy harder to beat.
