Pew: In 12 countries, people more likely to trust China over US or EU to regulate AI
Topic: technologyRegion: EuropeUpdated: i1 outletsSources: 1Spectrum: Center Only⏱ 3 min read
Story Summary
SITUATION
Pew Research Centre found that, on a median basis across 12 surveyed countries, more people trust China than the United States or the European Union to regulate artificial intelligence effectively (per scmp.com). Pew associate director of research Laura Silver told the South China Morning Post that middle-income countries tend to view China more positively and that trust in a country to regulate AI closely tracks overall opinions of that country (per scmp.com).
Coveragetap to expand ▾Spectrum: Center Only🌍Asia: 1
Political Spectrum
Position is inferred from coverage mix.
i1 outlets · Center
Left
Center
Right
Left: 0
Center: 1
Right: 0
Geography Coverage
Distribution of where coverage is coming from.
i1 unique outlets · Dominant: Asia
KEY FACTS
- Pew Research Centre released a report showing that, on a median basis across 12 surveyed countries, more people trust China than the United States or the European Union to regulate AI (per scmp.com).
- Laura Silver, Pew associate director of research, told the South China Morning Post that middle-income countries tend to have more positive views of China (per scmp.com).
- Laura Silver said that trust in a country to regulate AI is closely related to overall views of that country (per scmp.com).
- The South China Morning Post reported Pew’s analysis without presenting alternative polling figures from other organizations in the same article (per scmp.com).
HISTORICAL CONTEXT
The immediate backdrop is the widened U.S.-Israel military campaign against Iran that began with coordinated strikes in March 2026 and has sharply heightened geopolitical competition among major powers, including over technology and standards.
That conflict follows a period in which governments framed advanced digital systems as matters of national security, prompting faster moves to set rules for artificial intelligence across multiple jurisdictions.
Brief
Pew Research Centre’s new analysis finds that, on a median basis across 12 surveyed countries, respondents put more trust in China than in the United States or the European Union to regulate artificial intelligence effectively, the South China Morning Post reported.
Laura Silver, Pew associate director of research, told the Post that this pattern is strongest in middle-income countries, where positive views of China correlate with higher trust that Beijing can manage AI.
Pew’s measure ties a specific regulatory confidence question to broader favorability toward each actor, which Silver said explains why trust rankings mirror overall country opinions.
The Post’s account does not include parallel polls from other research groups, so while Pew’s cross-country median is clear, how it compares to other surveys on AI governance is not shown in the article.
The finding matters because it signals that public confidence in AI governance depends as much on geopolitical perceptions as on technical regulatory performance: communities that view China favorably are more likely to accept Chinese-led approaches to AI rules, Pew told the Post.
The South China Morning Post frames the result in geopolitical terms and highlights Silver’s point about middle-income countries; the reporting does not present rival explanations, such as differences in domestic media framing, recent AI incidents, or specific policy proposals from Beijing, Washington, or Brussels.
Policymakers in the United States and the European Union will likely need to reckon with how national image, not just policy content, shapes global willingness to accept AI rules, a dynamic the Post emphasizes through Pew’s comments from Silver.
Why it matters
- Concrete costs fall on citizens of the surveyed middle-income countries: their willingness to accept AI governance frameworks depends on country favorability rather than technical safeguards, which can leave them exposed to regulatory models that prioritize different values (per scmp.com).
- China benefits from higher public trust where its favorability is strong because those populations are more likely to accept Chinese regulatory approaches to AI, amplifying Beijing’s influence on standards (per scmp.com).
- The United States and the European Union bear reputational costs in the 12-country median metric, potentially weakening their ability to export their AI governance models without first addressing broader favorability (per scmp.com).
What to watch next
- Whether Pew Research Centre publishes the full cross-country poll results or methodology that break out the 12 countries by name and by-country trust levels (per scmp.com).
- Whether the United States or the European Union release targeted public diplomacy or policy initiatives aimed at middle-income countries to bolster trust in their AI regulatory approaches (per scmp.com).
- Whether follow-up polls from other research organizations replicate Pew’s median finding or show different trust patterns across the same 12 countries (per scmp.com).
Where sources differ
7 dimensionsFraming differences
?- Only the South China Morning Post is in this source pack; it frames Pew’s finding as reflecting middle-income countries’ favorable views of China, and no other outlet in this pack offers an alternative framing (per scmp.com).
Disputed or unclear
?- No source in this pack disputes Pew’s finding, but the sample of outlets is limited to the South China Morning Post’s report of Pew’s analysis (per scmp.com).
Omitted context
?- No source here lists which 12 countries Pew surveyed; the specific countries are omitted (per scmp.com).
- The article does not provide the poll’s fieldwork dates or full methodology, which are necessary to assess timing and sample composition (per scmp.com).
- The piece does not report per-country trust percentages or margins of error, leaving the scale of differences between China, the US, and the EU unclear (per scmp.com).
- No source in this pack mentions how recent geopolitical events or specific AI incidents in the surveyed countries might have influenced public trust (per scmp.com).
- The article omits any comparison with other polling on AI governance from alternative research organizations (per scmp.com).
Conflicting figures
?- The source gives '12 surveyed countries' (per scmp.com) but does not provide country-by-country percentages or margins of error (per scmp.com).
Disputed causality
?- The source links higher trust in China to overall favorable views of China, as stated by Laura Silver, but does not establish causal evidence beyond correlation (per scmp.com).
Attribution disputes
?- The South China Morning Post attributes the findings and the interpretation about middle-income countries to Pew Research Centre and Laura Silver (per scmp.com).
Sources
1 of 1 linked articles