Feelings About AI: Which Countries Are Most Excited or Nervous?

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Charted: Which Countries Are Excited or Nervous About AI?

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See this visualization first on the Voronoi app.

A bar chart showing feelings about AI by country; Thailand is the most excited and Australia is the most nervous.

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.

CountryPercent Very/Somewhat ExcitedPercent Very/Somewhat Nervous
🇹🇭 Thailand8057
🇰🇷 South Korea7644
🇮🇩 Indonesia7548
🇲🇽 Mexico7448
🇹🇷 Türkiye7454
🇲🇾 Malaysia7455
🇵🇪 Peru7247
🇮🇳 India6658
🇧🇷 Brazil6651
🇸🇬 Singapore6553
🇨🇴 Colombia6245
🇷🇴 Romania6250
🇿🇦 South Africa5953
🇨🇱 Chile5154
🇯🇵 Japan5123
🇪🇸 Spain5051
🇮🇹 Italy5050
🇵🇱 Poland5038
🇦🇷 Argentina4646
🇭🇺 Hungary4546
🇩🇪 Germany4346
🇳🇿 New Zealand4363
🇬🇧 Great Britain4265
🇳🇱 Netherlands4250
🇦🇺 Australia4069
🇮🇪 Ireland3862
🇨🇦 Canada3763
🇫🇷 France3652
🇺🇸 U.S.3663
🇧🇪 Belgium3550
🇸🇪 Sweden3253

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.

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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.

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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.

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A line chart showing AI vs human performance in various technical tasks

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:

  1. Image classification
  2. Visual reasoning
  3. Medium-level reading comprehension
  4. English language understanding
  5. Multitask language understanding
  6. Competition-level mathematics
  7. PhD-level science questions
  8. 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.

YearPerfomance relative to the human baseline (100%)Task
201289.15%Image classification
201391.42%Image classification
201496.94%Image classification
201599.47%Image classification
2016100.74%Image classification
201680.09%Visual reasoning
2017101.37%Image classification
201782.35%Medium-level reading comprehension
201786.49%Visual reasoning
2018102.85%Image classification
201896.23%Medium-level reading comprehension
201886.70%Visual reasoning
2019103.75%Image classification
201936.08%Multitask language understanding
2019103.27%Medium-level reading comprehension
201994.21%English language understanding
201990.67%Visual reasoning
2020104.11%Image classification
202060.02%Multitask language understanding
2020103.92%Medium-level reading comprehension
202099.44%English language understanding
202091.38%Visual reasoning
2021104.34%Image classification
20217.67%Competition-level mathematics
202166.82%Multitask language understanding
2021104.15%Medium-level reading comprehension
2021101.56%English language understanding
2021102.48%Visual reasoning
2022103.98%Image classification
202257.56%Competition-level mathematics
202283.74%Multitask language understanding
2022101.67%English language understanding
2022104.36%Visual reasoning
202347.78%PhD-level science questions
202393.67%Competition-level mathematics
202396.21%Multitask language understanding
202371.91%Multimodal understanding and reasoning
2024108.00%PhD-level science questions
2024108.78%Competition-level mathematics
2024102.78%Multitask language understanding
202494.67%Multimodal understanding and reasoning
2024101.78%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.

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