Technology
Charted: Which Countries Are Excited or Nervous About AI?
See this visualization first on the Voronoi app.
Feelings About AI: Which Countries Are Most Excited or Nervous?
This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.
Globally, there’s mixed feelings towards AI-powered products and services: 54% of people are excited, and 52% of people are nervous. However, feelings about AI differ substantially between countries.
This graphic by creator Julie R. Peasley looks at how these viewpoints vary among people in 31 different countries using data from Ipsos.
Feelings About AI by Country
Overall, people in Asia and South America are most excited about products and services using AI. However, it’s important to note that the samples in many of these countries were more urban, more educated, and/or more affluent than the general population.
People in Thailand lead in levels of excitement. Interestingly, they are most likely to say they think AI will make their job better in the near future, but are also most likely to say that AI will replace their current job.
Country | Percent Very/Somewhat Excited | Percent Very/Somewhat Nervous |
---|---|---|
🇹🇭 Thailand | 80 | 57 |
🇰🇷 South Korea | 76 | 44 |
🇮🇩 Indonesia | 75 | 48 |
🇲🇽 Mexico | 74 | 48 |
🇹🇷 Türkiye | 74 | 54 |
🇲🇾 Malaysia | 74 | 55 |
🇵🇪 Peru | 72 | 47 |
🇮🇳 India | 66 | 58 |
🇧🇷 Brazil | 66 | 51 |
🇸🇬 Singapore | 65 | 53 |
🇨🇴 Colombia | 62 | 45 |
🇷🇴 Romania | 62 | 50 |
🇿🇦 South Africa | 59 | 53 |
🇨🇱 Chile | 51 | 54 |
🇯🇵 Japan | 51 | 23 |
🇪🇸 Spain | 50 | 51 |
🇮🇹 Italy | 50 | 50 |
🇵🇱 Poland | 50 | 38 |
🇦🇷 Argentina | 46 | 46 |
🇭🇺 Hungary | 45 | 46 |
🇩🇪 Germany | 43 | 46 |
🇳🇿 New Zealand | 43 | 63 |
🇬🇧 Great Britain | 42 | 65 |
🇳🇱 Netherlands | 42 | 50 |
🇦🇺 Australia | 40 | 69 |
🇮🇪 Ireland | 38 | 62 |
🇨🇦 Canada | 37 | 63 |
🇫🇷 France | 36 | 52 |
🇺🇸 U.S. | 36 | 63 |
🇧🇪 Belgium | 35 | 50 |
🇸🇪 Sweden | 32 | 53 |
Base: 22,816 adults under the age of 75 across 31 countries, interviewed May 26 – June 9, 2023. The survey was online only in all countries except India. The samples in Brazil, Chile, Colombia, India, Indonesia, Ireland, Malaysia, Mexico, Peru, Romania, Singapore, South Africa, Thailand, and Türkiye are more urban, more educated, and/or more affluent than the general population.
In Sweden, people are the least excited. They are tied with Belgium and Ireland as being the least likely to say that AI-powered products and services have profoundly changed their daily life in the past 3-5 years. On top of this, they are least likely to believe AI will change how they do their job or replace their current job.
When it comes to Australia’s feelings about AI, the country has the highest nervousness. People there have low agreement with the statement that products and services using AI have more benefits than drawbacks. They also have some of the lowest levels of trust when it comes to AI bias and privacy concerns.
What Might Impact AI Sentiment?
People’s self-assessed knowledge of which types of products and services use artificial intelligence is connected to their feelings about AI.
For instance, countries where people rated their knowledge to be the lowest tended to have low levels of excitement and higher levels of nervousness. Conversely, when people rated their knowledge more highly, these countries tended to have higher excitement.
Learn More on the Voronoi App 
To learn which countries are hotbeds for AI innovation, check out this graphic on the number of AI startups by country.

This article was published as a part of Visual Capitalist's Creator Program, which features data-driven visuals from some of our favorite Creators around the world.
Technology
Visualizing AI vs. Human Performance in Technical Tasks
AI systems have seen rapid advancements, surpassing human performance in technical tasks such as advanced math and visual reasoning.

AI vs. Human Performance in Technical Tasks
This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.
The gap between human and machine reasoning is narrowing—and fast.
Over the past year, AI systems have continued to see rapid advancements, surpassing human performance in technical tasks where they previously fell short, such as advanced math and visual reasoning.
This graphic visualizes AI systems’ performance relative to human baselines for eight AI benchmarks measuring tasks including:
- Image classification
- Visual reasoning
- Medium-level reading comprehension
- English language understanding
- Multitask language understanding
- Competition-level mathematics
- PhD-level science questions
- Multimodal understanding and reasoning
This visualization is part of Visual Capitalist’s AI Week, sponsored by Terzo. Data comes from the Stanford University 2025 AI Index Report.
An AI benchmark is a standardized test used to evaluate the performance and capabilities of AI systems on specific tasks.
AI Models Are Surpassing Humans in Technical Tasks
Below, we show how AI models have performed relative to the human baseline in various technical tasks in recent years.
Year | Perfomance relative to the human baseline (100%) | Task |
---|---|---|
2012 | 89.15% | Image classification |
2013 | 91.42% | Image classification |
2014 | 96.94% | Image classification |
2015 | 99.47% | Image classification |
2016 | 100.74% | Image classification |
2016 | 80.09% | Visual reasoning |
2017 | 101.37% | Image classification |
2017 | 82.35% | Medium-level reading comprehension |
2017 | 86.49% | Visual reasoning |
2018 | 102.85% | Image classification |
2018 | 96.23% | Medium-level reading comprehension |
2018 | 86.70% | Visual reasoning |
2019 | 103.75% | Image classification |
2019 | 36.08% | Multitask language understanding |
2019 | 103.27% | Medium-level reading comprehension |
2019 | 94.21% | English language understanding |
2019 | 90.67% | Visual reasoning |
2020 | 104.11% | Image classification |
2020 | 60.02% | Multitask language understanding |
2020 | 103.92% | Medium-level reading comprehension |
2020 | 99.44% | English language understanding |
2020 | 91.38% | Visual reasoning |
2021 | 104.34% | Image classification |
2021 | 7.67% | Competition-level mathematics |
2021 | 66.82% | Multitask language understanding |
2021 | 104.15% | Medium-level reading comprehension |
2021 | 101.56% | English language understanding |
2021 | 102.48% | Visual reasoning |
2022 | 103.98% | Image classification |
2022 | 57.56% | Competition-level mathematics |
2022 | 83.74% | Multitask language understanding |
2022 | 101.67% | English language understanding |
2022 | 104.36% | Visual reasoning |
2023 | 47.78% | PhD-level science questions |
2023 | 93.67% | Competition-level mathematics |
2023 | 96.21% | Multitask language understanding |
2023 | 71.91% | Multimodal understanding and reasoning |
2024 | 108.00% | PhD-level science questions |
2024 | 108.78% | Competition-level mathematics |
2024 | 102.78% | Multitask language understanding |
2024 | 94.67% | Multimodal understanding and reasoning |
2024 | 101.78% | English language understanding |
From ChatGPT to Gemini, many of the world’s leading AI models are surpassing the human baseline in a range of technical tasks.
The only task where AI systems still haven’t caught up to humans is multimodal understanding and reasoning, which involves processing and reasoning across multiple formats and disciplines, such as images, charts, and diagrams.
However, the gap is closing quickly.
In 2024, OpenAI’s o1 model scored 78.2% on MMMU, a benchmark that evaluates models on multi-discipline tasks demanding college-level subject knowledge.
This was just 4.4 percentage points below the human benchmark of 82.6%. The o1 model also has one of the lowest hallucination rates out of all AI models.
This was major jump from the end of 2023, where Google Gemini scored just 59.4%, highlighting the rapid improvement of AI performance in these technical tasks.
To dive into all the AI Week content, visit our AI content hub, brought to you by Terzo.
Learn More on the Voronoi App 
To learn more about the global AI industry, check out this graphic that visualizes which countries are winning the AI patent race.
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