WASHINGTON — As artificial intelligence rapidly embeds itself into the digital fabric of global society, a comprehensive new international study reveals a striking consensus among the world’s populations: the majority of people believe that AI will ultimately destroy more jobs than it creates.

According to a landmark report published by the Pew Research Center, citizens in 34 out of 37 surveyed countries overwhelmingly anticipate that the rise of automation and machine learning will lead to a net reduction in employment opportunities over the next two decades. The findings cast a long shadow over the tech industry’s utopian narrative of a frictionless, AI-augmented future, exposing deep-seated public anxieties regarding economic stability, wealth inequality, and the future of work.

Across the 37 nations polled, a median of 46% of respondents stated that AI will lead to fewer jobs in their respective countries over the next 20 years. In stark contrast, a mere 9% believe AI will generate more jobs, while 25% remain undecided or unsure.

The data highlights a compelling global divide: apprehension regarding job displacement is significantly more pronounced in high-income economies than in middle-income nations—a trend that directly mirrors the public’s varying levels of familiarity and engagement with emerging AI technologies.

Main Facts

The Pew Research Center report, released in mid-September, offers one of the most exhaustive cross-cultural examinations of public sentiment toward artificial intelligence to date. Encompassing responses from 42,151 adults across 36 countries surveyed between February 8 and May 13 (with supplementary U.S. data integrated from dual independent domestic surveys), the project maps out a complex portrait of international attitudes.

Key takeaways from the global dataset include:

• The Global Pessimism Gap: Across all surveyed markets, people are roughly five times more likely to expect AI to decrease job availability (46%) rather than increase it (9%).
• The Wealth-Pessimism Correlation: High-income nations report significantly higher expectations of job destruction. A median of 55% of adults across 18 high-income countries foresee job losses, compared to a median of 36% across 18 middle-income economies.
• The Awareness Factor: Familiarity with AI follows a similar trajectory. A median of 50% of adults in high-income nations report having heard or read "a lot" about AI, compared to just 27% in middle-income countries.
• Economic Inequality Concerns: Roughly 35% of respondents in high-income nations believe AI will widen the income gap between the rich and the poor, compared to 22% in middle-income states.
• The U.S. Trajectory: In the United States, 71% of adults now expect AI to reduce job opportunities—a notable surge from 64% recorded in August 2024.

Chronology of Public Sentiment: How AI Anxiety Has Evolved

To fully understand the current landscape of public skepticism, one must trace how the conversation around artificial intelligence has evolved from niche technological fascination to mainstream economic anxiety.

The Pre-Generative Era (Pre-2022)

For years, artificial intelligence was viewed primarily through the lens of specialized industry automation, affecting specific sectors like manufacturing, logistics, and routine clerical work. While labor economists frequently warned about long-term displacement, public discourse remained largely theoretical. Most consumers interacted with AI only through invisible recommendation algorithms, predictive text, and automated customer service chat interfaces.

The Generative AI Boom (2023–2024)

The public consciousness shifted dramatically following the widespread commercialization of generative AI models, such as OpenAI’s ChatGPT, Google’s Gemini, and various image-generation platforms. Suddenly, technologies capable of producing human-like code, legal documents, creative writing, and artistic assets entered mainstream workflows.

By August 2024, Pew data indicated that economic anxiety was already taking root in major economies. In the United States, 64% of surveyed adults expressed concern that AI tools would ultimately take away jobs rather than create them.

The Maturing Landscape and Deepening Skepticism (2025–2026)

As companies across various sectors—from media and entertainment to finance and software development—began integrating generative AI tools to streamline operations and trim labor costs, public exposure surged.

Pew’s latest data, gathered in the spring of 2026, captures this maturing environment. In roughly half of the surveyed countries, citizens who reported hearing a lot about AI were notably more likely to predict job losses than those with lower awareness. Far from breeding comfort, familiarity with AI technologies has bred acute economic caution. Furthermore, tracking data from 25 countries surveyed in both 2025 and 2026 shows that AI awareness continues to climb—led by countries like Nigeria, where the share of adults reporting high awareness jumped by 14 percentage points in a single year.

Supporting Data and Regional Variations

The Pew Research Center report utilizes World Bank income classifications to group nations, revealing deep statistical correlations between a country’s gross domestic product (GDP) per capita and its citizens’ attitudes toward technology.

High-Income vs. Middle-Income Realities

The structural differences between high-income and middle-income countries are profound. In high-income markets, a median of 55% expect job losses, and 50% report high awareness of AI. Conversely, in middle-income countries, the median expectation for job losses drops to 36%, and high awareness sits at just 27%.

Notably, uncertainty is far more prevalent in developing markets. A median of 34% of respondents in middle-income countries stated they were unsure how AI would impact employment over the next 20 years, compared to just 22% in high-income nations. As the report notes, public opinion in these developing regions "may still be taking shape."

Country-by-Country Breakdowns and Statistical Outliers

When examining individual nations, the correlation between wealth, awareness, and job-loss expectation becomes even more pronounced.

• Australia and South Korea: These two nations tied for the highest share of public pessimism regarding employment, with an astonishing 76% of respondents in both countries predicting that AI will lead to fewer jobs.
• The United States: Close behind its democratic allies, the U.S. registered a 71% pessimism rate regarding future employment prospects.
• Japan: Demonstrating the highest level of technological literacy in the survey, 56% of Japanese adults reported hearing or reading a lot about AI.
• Bangladesh: At the opposite end of the awareness spectrum, only 4% of Bangladeshi adults reported significant exposure to information regarding artificial intelligence.
• Singapore (The Outlier): Singapore serves as a fascinating exception to the broader macroeconomic trend. Despite boasting a staggering GDP per capita approaching $100,000, only 46% of Singaporean respondents expect AI to reduce job availability—a figure significantly lower than other wealthy tech hubs, suggesting that local workforce resilience initiatives or public messaging may be successfully dampening panic.

Statistically, the report establishes a correlation of 0.60 between a country’s GDP per capita and its citizens’ expectations of AI-driven job loss, and an even stronger correlation of 0.74 regarding general AI awareness. However, researchers emphasize a fundamental rule of data interpretation: correlation does not equal causation. National wealth does not cause people to fear job loss; rather, wealthy nations tend to have more advanced digital infrastructures, higher media saturation, and white-collar workforces whose daily tasks are more immediately susceptible to generative AI disruption.

Official Responses and Expert Perspectives

While the Pew report aggregates citizen sentiment rather than official government policy declarations, its findings have struck a nerve among labor leaders, economists, and policymakers worldwide.

Governments from Washington to Seoul have increasingly scrambled to address the looming structural shifts in the labor market. In the United States, federal agencies have rolled out various ethical frameworks and workforce reskilling initiatives, though critics argue that policy measures are lagging behind the exponential pace of technological deployment.

Labor organizations have been vocal in interpreting the public’s anxiety as a rational response to corporate cost-cutting measures. Trade unions across Europe and North America have pointed to high-profile corporate layoffs where management explicitly cited automation and artificial intelligence integration as primary drivers for restructuring.

Conversely, tech industry advocates and economists who champion AI innovation argue that historical precedent demonstrates technology’s ultimate capacity to create entirely new industries. Proponents suggest that while routine, repetitive tasks will inevitably be automated, human workers will transition into higher-value oversight, strategic, and creative roles. However, the Pew data underscores a massive trust deficit: regardless of theoretical economic models promising long-term growth, the immediate public perception is one of vulnerability and displacement.

Implications for Businesses, Policymakers, and Society

The implications of Pew’s global findings extend far beyond academic sociology, carrying direct weight for corporate strategists, product marketers, and political leaders navigating the AI transition.

1. The Marketing and Public Relations Challenge

For brands and technology companies deploying AI-driven products, public skepticism poses a formidable barrier to adoption. The data proves that high awareness does not automatically equate to brand enthusiasm. In many high-income markets, familiarity with AI breeds profound caution regarding job security and wealth inequality. Tech companies can no longer rely on superficial feature-dumping or uncritical techno-optimism in their marketing campaigns; instead, they must actively address consumer fears regarding displacement, privacy, and economic fairness.

2. Widening Socio-Economic Divides

Beyond job losses, the fear that AI will widen the wealth gap is particularly acute in wealthy nations, where 35% of respondents anticipate increased economic polarization. If the public perceives AI as a tool that exclusively benefits corporate shareholders and tech elites at the expense of working-class and middle-class stability, political backlash is virtually guaranteed. Lawmakers will face escalating pressure to introduce regulatory safeguards, such as algorithmic accountability acts, universal basic income studies, and mandatory worker retraining subsidies.

3. The Need for Proactive Workforce Development

The high degree of uncertainty observed in middle-income nations—coupled with the surging awareness in developing economic hubs—suggests a critical window of opportunity. Governments in these regions have a brief window to implement proactive educational curricula and workforce modernization programs before mass automation hits their labor markets. By bridging the information gap and equipping workers with digital fluency, developing nations may avoid the deep-seated economic anxiety currently gripping wealthier Western and East Asian democracies.

As public opinion continues to crystallize over the coming years, the message from the global populace is clear: the technological revolution cannot succeed at the expense of human livelihood. To win the trust of global citizens, the architects of artificial intelligence must couple their relentless pursuit of capability with an equally rigorous commitment to economic security and social equity.