AI
Visualizing Global Attitudes Towards AI
Comparing Public Sentiment Towards AI, by Country
Artificial intelligence (AI) is one of the fastest growing and most disruptive technologies in the world today. Because it has the potential to drastically impact society, it’s important to measure how people are feeling towards it.
This infographic visualizes survey data from market research firm, Ipsos, to see how attitudes towards AI varies by country. By including each country’s GDP per capita, we can see that wealthier populations are more skeptical about products and services that use the technology.
Data and Methodology
This data is based on a 28-country survey of 19,504 adults aged 18 to 74. Polling took place between November and December 2021, and the results were published in January 2022.
This survey took place before the recent explosion in popularity of generative AI tools such as ChatGPT, DALL-E, and Midjourney, but forms the foundation for how people view this rapidly improving technology.
The table below lists the percentage of respondents who agreed with the following statement:
“Products and services using artificial intelligence have more benefits than drawbacks”
Country | % Agreeing With Statement | GDP per capita |
---|---|---|
China | 78% | $12,556 |
Saudi Arabia | 76% | $23,186 |
India | 71% | $2,257 |
Peru | 70% | $6,622 |
Malaysia | 65% | $11,109 |
Mexico | 65% | $10,046 |
Colombia | 64% | $6,104 |
Chile | 63% | $16,265 |
South Korea | 62% | $34,998 |
Türkiye | 60% | $9,661 |
Brazil | 57% | $7,507 |
South Africa | 57% | $7,055 |
Argentina | 55% | $10,636 |
Russia | 53% | $12,195 |
Spain | 53% | $30,104 |
Italy | 50% | $35,658 |
Hungary | 49% | $18,728 |
Poland | 48% | $18,000 |
Japan | 42% | $39,313 |
Sweden | 40% | $61,029 |
Belgium | 38% | $51,247 |
UK | 38% | $46,510 |
Australia | 37% | $60,443 |
Germany | 37% | $51,203 |
United States | 35% | $70,249 |
Netherlands | 33% | $57,768 |
Canada | 32% | $51,988 |
France | 31% | $43,659 |
GDP per capita as of 2021. Source: World Bank
Ipsos notes that their samples from developing economies like China and India were “more urban, more educated, and more affluent than the general population”. Thus, the results for these countries likely reflect the more tech-savvy segments of their population.
Further Survey Results
Respondents were asked additional questions about AI, which we’ve included in the tables below. Let’s start with this statement:
“Products and services using artificial intelligence make my life easier”
Country | % Agreeing With Statement | GDP per capita |
---|---|---|
China | 87% | $12,556 |
Saudi Arabia | 80% | $23,186 |
Peru | 74% | $6,622 |
South Korea | 74% | $34,998 |
Mexico | 73% | $10,046 |
India | 72% | $2,257 |
Colombia | 71% | $6,104 |
Malaysia | 71% | $11,109 |
Türkiye | 71% | $9,661 |
Chile | 70% | $16,265 |
South Africa | 67% | $7,055 |
Brazil | 65% | $7,507 |
Russia | 64% | $12,195 |
Argentina | 59% | $10,636 |
Spain | 59% | $30,104 |
Poland | 58% | $18,000 |
Italy | 54% | $35,658 |
Japan | 52% | $39,313 |
Hungary | 50% | $18,728 |
Belgium | 49% | $51,247 |
Netherlands | 47% | $57,768 |
Australia | 46% | $60,443 |
Sweden | 46% | $61,029 |
Germany | 45% | $51,203 |
UK | 45% | $46,510 |
Canada | 44% | $51,988 |
United States | 41% | $70,249 |
France | 39% | $43,659 |
As expected, we see a similar trend as in the previous question’s results. It seems that developing countries are embracing AI to greater lengths.
Next, we’ll look at a more forward-looking statement:
“Products and services using AI will profoundly change my daily life in the next 3-5 years”.
Country | % Agreeing With Statement | GDP per capita |
---|---|---|
China | 80% | $12,556 |
Saudi Arabia | 80% | $23,186 |
South Korea | 76% | $34,998 |
India | 74% | $2,257 |
Türkiye | 73% | $9,661 |
South Africa | 72% | $7,055 |
Malaysia | 71% | $11,109 |
Peru | 71% | $6,622 |
Chile | 67% | $16,265 |
Colombia | 65% | $6,104 |
Mexico | 65% | $10,046 |
Brazil | 61% | $7,507 |
Argentina | 60% | $10,636 |
Russia | 60% | $12,195 |
Poland | 56% | $18,000 |
Spain | 56% | $30,104 |
Hungary | 55% | $18,728 |
Italy | 53% | $35,658 |
Japan | 53% | $39,313 |
Netherlands | 53% | $57,768 |
Belgium | 52% | $51,247 |
Australia | 50% | $60,443 |
Sweden | 50% | $61,029 |
UK | 46% | $46,510 |
United States | 46% | $70,249 |
France | 45% | $43,659 |
Canada | 44% | $51,988 |
Germany | 44% | $51,203 |
Once again, populations from wealthier countries are at the lower end of the results. This could be due to societal factors (differing attitudes towards technology), economic structure, or some combination of both.
To elaborate on economic structure, let’s look at the world’s two biggest economies, the U.S. and China. The following table shows the distribution of each country’s workforce across the three major sectors.
Economic Sector | U.S. | China |
---|---|---|
Agriculture | 1% | 25% |
Industry | 20% | 28% |
Services | 79% | 47% |
As of 2019. Source: Statista
Developing economies such as China have a larger proportion of agricultural and industrial employment, while advanced economies like the U.S. are typically more services oriented. Structural differences such as these could have an impact on how a population views AI.
AI
Visualizing the Top U.S. States for AI Jobs
Nearly 800,000 AI jobs were posted in the U.S. throughout 2022. View this graphic to see a breakdown by state.

Visualizing the Top U.S. States for AI Jobs
Much ink has been spilled over fears that artificial intelligence (AI) will eliminate jobs in the economy. While some of those fears may be well-founded, red-hot interest in AI innovation is creating new jobs as well.
This graphic visualizes data from Lightcast, a labor market analytics firm, which shows how many AI-related jobs were posted in each state throughout 2022.
In total there were 795,624 AI jobs posted throughout the year, of which 469,925 (59%) were in the top 10. The full tally is included in the table below.
Rank | State | Number of job postings | % of total |
---|---|---|---|
1 | California | 142,154 | 17.9% |
2 | Texas | 66,624 | 8.4% |
3 | New York | 43,899 | 5.5% |
4 | Massachusetts | 34,603 | 4.3% |
5 | Virginia | 34,221 | 4.3% |
6 | Florida | 33,585 | 4.2% |
7 | Illinois | 31,569 | 4.0% |
8 | Washington | 31,284 | 3.9% |
9 | Georgia | 26,620 | 3.3% |
10 | Michigan | 25,366 | 3.2% |
11 | North Carolina | 23,854 | 3.0% |
12 | New Jersey | 23,447 | 2.9% |
13 | Colorado | 20,421 | 2.6% |
14 | Pennsylvania | 20,397 | 2.6% |
15 | Arizona | 19,514 | 2.5% |
16 | Ohio | 19,208 | 2.4% |
17 | Maryland | 16,769 | 2.1% |
18 | Minnesota | 11,808 | 1.5% |
19 | Tennessee | 11,173 | 1.4% |
20 | Missouri | 10,990 | 1.4% |
21 | Oregon | 10,811 | 1.4% |
22 | Washington, D.C. | 9,606 | 1.2% |
23 | Indiana | 9,247 | 1.2% |
24 | Connecticut | 8,960 | 1.1% |
25 | Wisconsin | 8,879 | 1.1% |
26 | Alabama | 7,866 | 1.0% |
27 | Kansas | 7,683 | 1.0% |
28 | Arkansas | 7,247 | 0.9% |
29 | Utah | 6,885 | 0.9% |
30 | Nevada | 6,813 | 0.9% |
31 | Idaho | 6,109 | 0.8% |
32 | Oklahoma | 5,719 | 0.7% |
33 | Iowa | 5,670 | 0.7% |
34 | South Carolina | 4,928 | 0.6% |
35 | Louisiana | 4,806 | 0.6% |
36 | Kentucky | 4,536 | 0.6% |
37 | Nebraska | 4,032 | 0.5% |
38 | Delaware | 3,503 | 0.4% |
39 | New Mexico | 3,357 | 0.4% |
40 | Rhode Island | 2,965 | 0.4% |
41 | New Hampshire | 2,719 | 0.3% |
42 | Hawaii | 2,550 | 0.3% |
43 | Mississippi | 2,548 | 0.3% |
44 | Maine | 2,227 | 0.3% |
45 | South Dakota | 2,195 | 0.3% |
46 | Vermont | 1,571 | 0.2% |
47 | North Dakota | 1,227 | 0.2% |
48 | Alaska | 970 | 0.1% |
49 | West Virginia | 887 | 0.1% |
50 | Montana | 833 | 0.1% |
51 | Wyoming | 769 | 0.1% |
The following chart adds some context to these numbers. It shows how the percentage of AI job postings in some of the top states has changed since 2010.
We can see that California quickly became the primary destination for AI jobs in the early 2010s, presumably as Silicon Valley companies began developing the technology.
California’s share has since declined, with a significant number of jobs seemingly moving to Texas. In fact, many tech companies are relocating to Texas to avoid California’s relatively higher taxes and cost of living.
The 10 Most In-Demand Specialized Skills
Lightcast also captured the top 10 specialized skills that were required for AI-related jobs. These are listed in the table below.
Skill | Frequency (number of postings) | Frequency (% of postings) |
---|---|---|
Python | 296,662 | 37% |
Computer Science | 260,333 | 33% |
SQL | 185,807 | 23% |
Data Analysis | 159,801 | 20% |
Data Science | 157,855 | 20% |
Amazon Web Services | 155,615 | 19% |
Agile Methodology | 152,965 | 19% |
Automation | 138,791 | 17% |
Java | 133,856 | 17% |
Software Engineering | 133,286 | 17% |
If you’re interested in a career that focuses on AI, becoming proficient in Python is likely to be a good first step.
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