By Global Tech & Economics Desk
Published: September 2026
Main Facts
Artificial intelligence may be heralded by Silicon Valley visionaries as the dawn of a new industrial revolution, but a sweeping global study reveals that the public harbors a much darker view of its economic consequences. According to a landmark multinational survey published by the Pew Research Center, citizens across the globe overwhelmingly anticipate that artificial intelligence will destroy more jobs than it creates over the next two decades.
The comprehensive study, which surveyed over 42,000 adults across 37 countries, found that in 34 of those nations, the prevailing sentiment is that AI represents a net negative for future employment. Across all surveyed markets, a striking median of 46% of respondents predict that AI will lead to fewer jobs in their respective countries. In stark contrast, a mere 9% believe the technology will generate job growth, while 25% remain undecided or unsure of its ultimate economic trajectory.
The data exposes a pronounced geographic and economic divide. Anxiety regarding automated job displacement is significantly more acute in high-income nations than in middle-income economies. Simultaneously, public awareness and familiarity with artificial intelligence track closely with national wealth, indicating that the more a population knows about AI, the more apprehensive they tend to become regarding their professional futures.
Chronology of the Research
Understanding the trajectory of global public opinion on artificial intelligence requires examining the timeline of data collection and the evolution of sentiment leading up to this comprehensive report.
- August 2024: The Pew Research Center measures U.S. sentiment regarding automation and employment, finding that 64% of American adults expected AI to reduce the number of available jobs.
- February 8 to May 13: Field researchers conduct the primary global opinion poll. A total of 42,151 adults are surveyed across 36 countries, utilizing standardized polling methods to gauge awareness, economic expectations, and societal attitudes toward artificial intelligence. Concurrently, separate targeted surveys of American adults are administered to track the evolution of U.S. opinion.
- June 2026: Pew publishes follow-up U.S. survey data indicating that approximately 49% of American adults actively use AI chatbots, yet underlying skepticism regarding the technology’s societal benefit remains stubbornly high.
- August 18, 2026: Interim data is released highlighting rising wariness among young adults in the United States, specifically regarding AI’s capacity to displace human workers.
- September 17, 2026: The Pew Research Center officially publishes its global report, titled "Globally, More People Expect AI to Cause Job Loss Than Growth," alongside companion analyses detailing demographic breakdowns, income correlations, and shifts in worldwide AI awareness.
Supporting Data and Regional Disparities
The Pew Research dataset offers a granular look at how economic development intersects with public perception. By grouping nations according to World Bank income classifications, the researchers uncovered stark statistical contrasts between wealthy industrialized economies and emerging middle-income markets.
The High-Income vs. Middle-Income Divide
In a cohort of 18 high-income countries, a median of 55% of adults assert that AI will cause widespread job reduction over the next 20 years. Conversely, across 18 middle-income countries, that median drops to 36%. Uncertainty is notably higher in developing markets: a median of 34% of respondents in middle-income nations reported they were unsure about AI’s employment impacts, compared to just 22% in wealthier nations.
+---------------------------+-------------------+-------------------+
| Metric | High-Income Group | Middle-Income |
+---------------------------+-------------------+-------------------+
| Expect Fewer Jobs | Median of 55% | Median of 36% |
| Unsure About Job Impact | Median of 22% | Median of 34% |
| Heard "A Lot" About AI | Median of 50% | Median of 27% |
| Fear Widening Wealth Gap | Median of 35% | Median of 22% |
+---------------------------+-------------------+-------------------+National Outliers and Statistical Correlations
When comparing individual country outcomes against Gross Domestic Product (GDP) per capita, the report identifies a strong positive correlation of 0.60. This indicates that as national wealth increases, public apprehension regarding job loss tends to rise correspondingly.
- Australia and South Korea: These nations recorded the highest share of job-loss pessimism globally, with 76% of respondents in both countries predicting a shrinking job market.
- United States: The U.S. follows closely behind, with 71% of adults anticipating job contraction—a notable surge from the 64% recorded in Pew’s August 2024 assessment.
- Singapore: Noted as a significant statistical outlier in the report, Singapore boasts a GDP per capita approaching $100,000, yet only 46% of its population expects AI to reduce employment—a figure markedly lower than peer high-income nations.
Awareness and Familiarity
Awareness of artificial intelligence mirrors the trends observed in job-loss predictions. A median of 50% of adults in high-income nations report having heard or read "a lot" about AI, whereas only 27% of those in middle-income countries say the same.
The correlation between GDP per capita and AI awareness is even stronger, standing at 0.74. At the extremes, 56% of respondents in Japan claim high awareness of the technology, contrasted with a mere 4% in Bangladesh. Furthermore, in roughly half of the surveyed countries, individuals with high AI awareness are noticeably more pessimistic about job security than their less-informed counterparts, who tend to make up the bulk of the "unsure" demographic.
Official Responses and Expert Insights
While the Pew Research report is primarily an observational study rather than a policy document, its findings have elicited immediate reactions from economists, labor organizers, and digital strategy analysts.
Labor economists note that the heightened anxiety in wealthy nations is not entirely unfounded. Knowledge-based economies rely heavily on white-collar administrative, financial, and creative labor—sectors that are currently on the frontline of generative AI disruption. Conversely, middle-income economies often feature larger agrarian or informal labor sectors where the immediate application of advanced LLMs (Large Language Models) and automation tools is less immediate, potentially explaining the higher rates of uncertainty and lower immediate panic.
Social scientists have also pointed to Pew’s findings on economic inequality. A median of 35% of respondents in high-income countries believe AI will widen the wealth gap between the rich and the poor, compared to 22% in middle-income countries.
Interestingly, while fears regarding jobs and inequality scale with national wealth, general sentiment regarding AI’s presence in daily life presents a more nuanced picture. In high-income countries, a median of 40% of adults report being more concerned than excited about AI integration, compared to 31% in middle-income countries. However, researchers emphasize that daily-life sentiment is far less strictly correlated with GDP per capita than concrete fears about employment. For instance, South Korea exhibits extreme anxiety regarding job preservation (76%), yet only 18% express outright negative concern over excitement, with a commanding 61% reporting a balanced view of being "equally concerned and excited."
Implications for Businesses, Policymakers, and Marketers
The global anxiety mapped out by Pew carries profound implications for multiple sectors, extending far beyond academic sociology.
1. Corporate Strategy and Trust Building
For technology companies and enterprises deploying artificial intelligence solutions, the data underscores a critical trust deficit. Public skepticism is not a localized American phenomenon but a global reality, particularly acute in the wealthiest consumer markets. Tech firms can no longer assume passive acceptance of automated workflows; they must actively address workforce displacement concerns through transparent communication, reskilling initiatives, and ethical deployment frameworks.
2. Marketing and Public Relations
For brand strategists and marketers, the findings offer a vital demographic map. High-income markets exhibit high awareness coupled with high skepticism. Advertising campaigns that casually celebrate automation or job-replacing efficiencies risk alienating consumer bases already anxious about their financial futures. Marketing messaging in these regions must pivot toward human-centric empowerment—positioning AI as a collaborative tool that enhances human capability rather than a mechanical replacement for human labor.
3. The Regulatory Landscape
Governments in high-income nations face mounting political pressure to address the structural shifts forecasted by their citizens. With majorities in countries like the U.S., South Korea, and Australia anticipating job shortages, policymakers will likely accelerate legislative frameworks governing algorithmic accountability, worker retraining subsidies, and labor market protections.
4. An Evolving Public Consciousness
As noted by the Pew Research Center, public opinion on artificial intelligence is far from fixed. In 11 of the 25 countries surveyed across multiple years, the proportion of adults reporting high awareness of AI rose significantly—led by Nigeria, which saw a 14-percentage-point jump. In developing and middle-income markets, where large segments of the population remain undecided, public opinion "may still be taking shape." How governments, educational institutions, and corporations manage the narrative over the coming years will ultimately determine whether this widespread global anxiety hardens into permanent economic resistance or evolves into managed adaptation.
