AI trust is splitting along geographic lines

Artificial intelligence is becoming embedded in daily life faster than public trust in it is growing. In 2025, AI-generated articles surpassed human-written content online for the first time, marking a major shift in how digital information is produced. Yet consumer responses have been far from uniform.  A study by KPMG, one of the world's largest advisory firms, surveying more than 48,000 people across 47 countries, found that even as 66% of respondents were regularly using AI tools, fewer than half said they trusted them. More notably, trust had declined since the same research was conducted in 2022, before the release of ChatGPT, suggesting that familiarity with AI is producing skepticism rather than confidence in significant parts of the world.

That pattern, however, does not hold everywhere. In Southeast Asia, attitudes toward AI are moving in nearly the opposite direction. The divergence is becoming one of the more consequential fault lines in how societies relate to artificial intelligence, with implications for content production, consumer trust, and the integration of AI into economic life.

A deepening skepticism in the West

In the United States and across much of Western Europe, backlash against AI-generated content has become measurable and, in some markets, commercially significant. According to WARC, a global marketing intelligence company, 85% of consumers say knowing something was made by a human makes it more meaningful, while 78% now expect AI-generated content to be clearly labeled.

Those preferences carry consequences at the point of purchase. A survey by CivicScience, a U.S.-based consumer research firm, published in mid-2025 found that 31% of consumers say AI in advertising makes them less likely to choose a brand. Research has also found that when people believe marketing content was written by AI, even when the text is identical to human-written material, they report feelings of moral disgust and measurably weaker purchase intent.

Such skepticism is reconfiguring the market.  Consumer appetite for AI-generated creator content fell from roughly 60% in 2023 to just 26% by 2025, according to eMarketer, a digital market research firm. Among American consumers specifically, more than half now report what researchers describe as “AI fatigue,” a growing sense of overexposure to machine-generated communication.

A different calculus in Southeast Asia

The picture is substantially different across Southeast Asia. A survey by global market research company Ipsos, spanning markets across the region, found that in Malaysia, Thailand, Indonesia, and Singapore, more than 80% of respondents said AI will profoundly change their lives within the next three to five years, with the prevailing sentiment one of anticipation rather than wariness. Ipsos found these markets register some of the highest levels of AI optimism worldwide, with broad public support for integration across healthcare, education, and government services.

India presents a more layered profile. The KPMG study registered the sharpest increase in concern about AI in India between 2024 and 2025, a rise of 14 percentage points. But that figure sits alongside continued high enthusiasm, reflecting a public actively engaging with the technology rather than withdrawing from it. AI-related job postings in India now carry salaries roughly 30% higher than comparable non-AI white-collar roles, according to research published by UNICEF in 2026, suggesting the technology is being absorbed into the economy as an expanding opportunity rather than a contracting force.

Different histories, different stakes

The divergence reflects different relationships to what AI threatens and what it offers. In high-income Western economies, AI has entered labor markets where professional and creative output have long served as primary engines of advancement and middle-class wage growth. As a result, the technology is often viewed through the lens of displacement, particularly in sectors built around cognitive and knowledge-based work.

In the United States, employment among software developers aged 22 to 25 fell by nearly 20% between 2024 and 2025, according to Stanford's 2026 AI Index Report, as entry-level knowledge work became one of the first categories visibly affected by the technology. For economies built around the premium attached to human expertise and judgment, the prospect that machines can approximate those qualities at scale carries implications extending far beyond any single industry.

The International Labour Organization found in its 2025 occupational exposure index that automation risk is most concentrated in wealthier, more cognitively oriented economies. In many Southeast Asian markets, however, AI often functions less as a disruptor of established careers and more as a mechanism for expanding access to tools, knowledge, and professional workflows that were previously unavailable or unaffordable.

A fragmented market for authenticity

For global brands and media organizations, the divide creates a complex operating environment. A content strategy calibrated for Western audiences, one that foregrounds human authorship and minimizes visible AI involvement, may carry limited relevance in markets where AI signals modernity and expanded capability. Campaigns that lean into AI-generated aesthetics, conversely, risk triggering backlash in European and North American markets where the same signal reads as a credibility deficit.

How consumers respond to AI disclosure depends heavily on whether the technology is perceived as expanding opportunity or replacing existing forms of labor. In many higher-income economies, visible AI involvement often raises concerns about substitution and declining trust, while in many emerging markets it is more closely associated with access, scalability, and economic participation. As those perceptions diverge, companies may increasingly find that there is no single global language for presenting AI to consumers.