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Gallup released a 37-country survey commissioned by Microsoft, finding that 68% of Americans who use AI daily are worried about it. The study, conducted between April and July 2026, indicates that the U.S. leads in AI anxiety, with 74% of Americans reporting worry, while only 36% expect AI to mostly help the country. In contrast, high-adoption countries like Singapore and China show greater optimism, with over 80% in Singapore expecting AI to improve their lives.
Gallup, commissioned by Microsoft, published a survey covering 37 countries with approximately 1,000 respondents per nation, polled between April and July 2026. The study aims to eventually span 140 countries, though India, Australia, and Malaysia are not yet included in the reported results.
In the United States, 68% of daily AI users expressed worry about the technology. Overall, 74% of Americans reported feelings of anxiety regarding AI, while only 36% believed it would mostly benefit the country. This places the U.S. at the anxious end of the international spectrum compared to other wealthy Western nations like Canada, where 64% of those aware of AI expressed worry.
Conversely, countries with high daily usage rates, such as Singapore (46% daily users) and China (35% daily users), demonstrated higher levels of optimism. In Singapore, more than 80% of respondents expected AI to improve their everyday lives, and 77% believed it would help the country. Similar positive trends were observed in Israel and China.
Despite varying levels of optimism, trust in AI accuracy remained low globally. Only 45% of daily users in the U.S. expressed confidence in AI results, and the median across all surveyed countries was 36%. Gallup noted that attitudes are multidimensional, with individuals often feeling curious and expecting benefits while simultaneously remaining worried about risks.
Szczegóły źródła: techcrunch.com ↗
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The findings challenge the assumption that high adoption rates equate to public trust or enthusiasm for AI. By highlighting the disconnect between usage and comfort, the data suggests that daily interaction does not mitigate concerns about job displacement, safety, and accuracy. This nuanced public sentiment is critical for policymakers and industry leaders as they navigate regulatory debates and deployment strategies, particularly given the upcoming discussions on between U.S. and Chinese leaders.
The survey complicates the narrative that widespread adoption signals public endorsement of AI. It reveals a significant gap between usage habits and emotional comfort, suggesting that users may rely on AI for practical tasks while harboring deep concerns about its societal implications.
This data is timely given the current climate of intense debate around , job displacement, and anti-competitive behavior. The findings provide empirical backing for public discontent, which may influence support for stricter regulations in areas such as hiring, healthcare, and government services.
The divergence in sentiment between the U.S. and high-adoption Asian markets highlights the geopolitical complexity of . As U.S. President Donald Trump and Chinese Premier Xi Jinping prepare to discuss , these differing public attitudes may shape the diplomatic and regulatory frameworks emerging from their talks.
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Monitor how these sentiment gaps influence upcoming regulatory actions and corporate strategies. Watch for shifts in public trust as AI capabilities expand, particularly in high-adoption regions, and observe how the U.S.-China diplomatic discussions on address these divergent public attitudes.
Observe how the U.S. and China leverage these public sentiment data points in their upcoming diplomatic discussions on and international standards.
Track whether the anxiety identified in the survey translates into legislative action or corporate policy changes regarding AI deployment in sensitive sectors like healthcare and employment.
Monitor future updates from the Gallup survey as it expands to include additional countries, particularly India, to provide a more comprehensive global picture of AI sentiment.