Global Views On Artificial Intelligence

Looking at the Global Scale

This choropleth map uses data from the Pew Research Center 2025 Global attitudes survey. People from all the displayed countries were asked the following question: “How much trust do you have in each of the following countries and organizations to regulate the use of artificial intelligence effectively – a lot of trust, some trust, not too much trust, no trust at all, or are you not sure?” The percentage of people giving each response from each population and for each country were recorded. The choropleth map displays the proportion of people who responded “a lot of trust” or “some trust.” The pages of the map alternate between the country being evaluated. The tooltip is a bar chart that displays the percentage of people who chose each of the categories given in the survey question, excluding "not sure” and "refused," as their sum can be inferred from the other options.

From the choropleth map, we can see that North America and most of Europe have little trust in China’s AI regulation. In contrast, the surveyed African countries, along with Indonesia, have the highest level of trust in China’s AI regulation. The European Union appears to receive the most consistent and least variable level of trust from other countries. In addition, European countries tend to trust the European Union more than the United States. Another interesting thing to note is that the surveyed African countries tend to trust all three countries and organizations presented to them more than most other countries.

The Job Market and Your Job

This visualization utilizes data from the HAI lab at Stanford University, presented as an open-source CSV file containing survey responses from employed adults across 32 countries. Economic Freedom Score data was obtained from the Heritage Foundation’s Index of Economic Freedom, with 2024 figures used to align with the 2024 survey data. Countries were then binned into four Economic Freedom Score ranges (Low: 45-55, Mid-low: 55-65, mid-high: 65-75, and High: 75-85) and plotted against two AI optimism metrics: the percentage of respondents expecting AI to improve their specific job and the percentage expecting AI to improve the job market broadly. A global average of all 32 countries is marked as a black diamond for consistent reference across all slides

The visualization reveals a notable inverse trend: countries with lower Economic Freedom Scores tend to cluster toward the upper right of the chart, indicating greater optimism about AI’s impact on both their personal jobs and the job market overall. Higher Economic Freedom Score countries, by contrast, cluster closer to the origin, suggesting more cautious expectations about AI-driven improvements. This pattern may suggest that workers in more state-directed or developing economies view AI as a greater opportunity for upward mobility and job improvement, possibly because they have more to gain from technological disruption. In contrast, workers in highly market-oriented economies may already operate in competitive, dynamic labor markets and therefore hold more cautious or realistic expectations about AI’s net benefit. Though the relationship is completely correlational, it raises an interesting question regarding how the economic systems and labor market structures shape workers’ expectations and attitudes toward emerging technologies like AI.

Will you be replaced by AI?

This graphic utilizes data from the Ipsos article and pew research report. The original data was collected from 14,782 employed adults under the age of 75 across 31 countries. The data was specifically gathered from the HAI Lab at Standford university as an open-source CSV file. Data preprocessing and engineering were conducted to include the total number of people surveyed in addition to the percentage values for each category present in the CSV file. The graph highlights global opinions for the likelihood that AI will change and eventually replace one's job.

Visualizing the Data Through a Different Lens

The first visualization presents an overview of AI perception across the three major regions (Americas, Europe, and Asia-Pacific) with the global average shown as a dashed black reference line. Asia-Pacific extends farthest outward on most axes, indicating the strongest overall optimism, while Europe appears the most contracted, reflecting comparatively lower agreement across the five survey statements. The Americas occupy an intermediate position between the two, demonstrating moderate levels of optimism.

The second visualization disaggregates the Americas into North America and South America, allowing direct comparison between the two sub-regions while keeping the global average visible as a consistent benchmark. North America's profile is heavily driven by the United States, which sits significantly above the global average on most positive dimensions and is clearly carrying the sub-region's overall optimism. Canada and Mexico fall within the global average on every dimension except nervousness, where both countries show elevated responses. In contrast, South America demonstrates strong general optimism across nearly all axes, with Peru standing out as particularly optimistic.

The third visualization breaks down Europe into Western/Northern Europe and Southern/Eastern Europe, again retaining the global average as a reference. Southern/Eastern Europe extends noticeably farther outward than Western/Northern Europe across most axes, indicating relatively greater optimism and agreement within the former group. Western/Northern Europe presents a more cautious and contracted shape, highlighting lower enthusiasm and trust compared to its southern and eastern counterparts. The only axis in which Western/Northern Europe significantly exceeds Southern/Eastern Europe is in their nervousness about AI, further demonstrating their cautious, concerned attitude toward the technology.