Uncover the latest global data on public trust in AI technology, revealing a paradox of high usage and persistent skepticism. Explore regional divides, growing concerns, and the path forward for responsible AI innovation.

Artificial intelligence (AI) is rapidly transforming industries, education, and daily life, yet its widespread adoption hinges significantly on a crucial factor: public trust. As AI capabilities expand, understanding how global public sentiment is evolving becomes paramount for policymakers, developers, and educators alike. Recent comprehensive studies shed light on a complex picture, revealing both increasing usage and persistent skepticism across different regions of the world.

The Paradox of AI: High Usage, Lagging Trust

A striking trend emerging from recent research is the growing disconnect between the public’s engagement with AI and their fundamental trust in the technology. According to a comprehensive 2025 study conducted by the University of Melbourne and KPMG, a significant 66% of respondents across 47 countries already use AI regularly. However, less than half, specifically 46%, are willing to trust AI systems, as reported by KPMG. This same study indicates that a substantial 58% of global respondents consider AI to be untrustworthy, highlighting a tension between the perceived benefits and risks, according to IT Brief. This suggests that while people are increasingly interacting with AI, a deep-seated confidence in its reliability and ethical operation has yet to fully materialize.

Furthermore, public trust has actually dropped, and concerns have intensified since the widespread introduction of generative AI systems like ChatGPT in late 2022, as noted by KPMG. This shift underscores the need for greater transparency and responsible development as AI becomes more integrated into daily life.

Regional Divides: A Tale of Two Worlds

Public perception of AI is far from uniform across the globe, with significant regional differences shaping trust levels and optimism.

Emerging Economies Lead in Trust and Adoption

Countries with emerging economies generally exhibit higher rates of AI adoption, greater trust, and more optimism regarding AI’s potential. In these regions, three in five people trust AI systems, a stark contrast to advanced economies where only two in five express similar trust, according to KPMG. This higher trust is often linked to greater reported AI literacy (64% compared to 46% in advanced economies) and training (50% versus 32%), as detailed by KPMG. Experts suggest this could be due to the greater relative benefits and opportunities AI offers in these developing nations, playing an increasingly vital role in their economic development.

Western Skepticism vs. Eastern Optimism

The Bosch global Tech Compass report, referenced by AI Business, reveals a clear East-West divide. Less than half of respondents in Western countries believe AI technologies will improve the world, whereas this perception is significantly more positive in Eastern nations, with 75% in India and 82% in China holding an optimistic view. Despite this, global optimism about AI products and services has seen an increase, particularly in countries that were previously more skeptical, such as Canada, Germany, the United States, France, and Great Britain, according to Stanford HAI.

Growing Concerns and the Demand for Regulation

As AI’s presence expands, so do public anxieties. Key concerns include:

Data Privacy and Ethics: Skepticism regarding the ethical conduct of AI companies is on the rise, and trust in the fairness of AI systems is declining. Global confidence in AI companies to protect personal data decreased from 50% in 2023 to 47% in 2024, as reported by Stanford HAI.
Misinformation and Manipulation: More than half of respondents express worry about AI’s impact on politics (58%) and news media (53%), driven by fears of misinformation and manipulation, according to Pew Research Center.
Job Security: A significant 47% of people globally are concerned that advancements in AI could lead to job losses, a finding from Rutgers University.
Workplace Risks: In the workplace, a concerning 66% of employees admit to relying on AI-generated outputs without verifying their accuracy, and 56% have made mistakes due to AI. Furthermore, 57% conceal their use of AI, indicating a gap in policy and training, as highlighted by Policy-Insider.AI.

These concerns have fueled a strong public mandate for AI regulation. A substantial 70% of people believe that national and international AI regulation is necessary, according to Pew Research Center. When it comes to who should regulate AI, a median of 53% of adults across 25 countries trust the European Union (EU) to regulate AI effectively, compared to 37% for the U.S. and only 27% for China, as per Pew Research Center. However, trust in one’s own country to regulate AI is generally higher, with 89% in India, 74% in Indonesia, and 72% in Israel expressing confidence in their national governments, also from Pew Research Center.

The Path Forward: Transparency, Education, and Responsible Innovation

The evolving landscape of public trust in AI underscores the critical need for strategic interventions. Public awareness of AI is growing, with 47% of Americans having heard a lot about it in June 2025, a significant increase from 26% in 2022, according to Pew Research Center. This increased awareness, however, must be coupled with efforts to build genuine trust.

Transparency, accountability, and comprehensive education are identified as crucial factors for fostering trust. Emphasizing the shared benefits of AI and promoting civic education on AI governance can help bridge existing trust gaps, as suggested by Themis Trust. As AI continues to reshape our world, a collaborative approach involving governments, industry, and educational institutions is essential to ensure that AI development aligns with societal values and earns the public’s confidence.

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