Artificial intelligence developments have expanded the range of artistic expression. 

Through the harmonic blending of creativity and technology, an innovative movement has emerged that pushes the limits of what is possible in art.

From fascinating paintings created by algorithms to astounding music compositions created by AI algorithms, AI arts have changed how we perceive and enjoy artistic endeavors. 

In this post, we’ll look at some fascinating AI art statistics, including its history, its impact on the art community, and the incredible masterpieces it has produced.

Key AI Art Statistics

  • 27% of Americans have viewed at least one piece of AI-generated art.
  • The AI-generated NFT with the highest value was sold for $1.1 million.
  • Of those who have seen art created by AI, 56% say they find it enjoyable.
  • 31% believe AI can produce art on the same level as humans.
  • 76% of individuals don’t think artificial intelligence (AI) art qualifies as art.
  • 9% of Americans believe the person who entered the prompt into an AI art generator, such as Mid Journey, deserves credit.
  • Dream by WOMBO is the world’s most widely used text-to-image AI art generator.
  • Most AI art generators rely on a single dataset of 5.85 billion photos.
  • In October 2022, Stable Diffusion had more than 10 million daily users.
  • The initial widely used text-to-image generator was DALL-E from OpenAI. 
  • The most valuable NFT this year was Everyday by Beeple, selling for $69 million at Christie’s in March.
  • The first significant AI art generator dates back to the 1970s.
  • The second piece of text-to-image generator from OpenAI technology is WALL-E.
  • 74% of artists view using Internet artwork for AI technology as unethical.
  • More than half of artists worry that generative AI will have a detrimental effect on their revenue.
  • Critics reacted negatively to Marvel’s Secret Invasion’s opening credits, which featured AI art.

General AI Art Statistics

1. 27% of Americans have viewed at least one piece of AI-generated art. 

(You Gov)

In a recent survey of 2,000 Americans, little more than one-quarter indicated they have seen AI-generated art. However, many people may have seen it without realizing it. 

2. 9% of Americans think the person who entered the prompt into an AI art generator, such as Mid Journey, deserves credit. 

(You Gov)

3. 15% of Americans believe the AI tools’ creators should get credit, and 13% believe the artist the tool is trained on should also get recognition. 

(You Gov)

Some people say AI tool makers and artists who train those tools deserve props for AI-created masterpieces. 

About 15% want recognition going to tech masters building AI systems, while roughly 13% suggest giving shoutouts to the actual flesh-and-blood artists feeding training datasets into machines.

4. Six out of ten individuals think AI text-generating tools will spread fake news, while over half have similar concerns about AI image-generation models. 

(You Gov)

5. Of those who have seen art created by AI, 56% say they find it enjoyable. 

(You Gov)

More than half of people are having fun with computer-generated creativity. In simpler language, when you see an image, painting, or even music crafted by AI algorithms, chances are high that most viewers will enjoy what they encounter. 

6. 31% of people believe AI can produce art that is on the same level as humans. 

(You Gov)

However, more people (34%) believe artwork created by AI is better than those created by humans. 

Only a smaller percentage (29%) of the surveyed Americans believe human-created artwork is better. 

7. While 39% consider AI a small advancement, 31% see it as a significant advancement for the visual arts. 

(Pew Research)

8. Recently, AI art has become very popular on social media, with #aiart having over 8.3 million posts on Instagram as of July 2023. 


However, as of March 2024, #aiart has 13.5 million posts on Instagram. 

9. 76% of individuals don’t think AI art qualifies as art.


76% consider AI-generated artwork not equivalent to traditional forms due to concerns over its lack of originality and creativity compared to human works. 

However, 24% consider otherwise. 

10. Older Americans don’t believe AI-created images and videos should be considered art.


About 70% of Americans aged 65 and older say images and videos created with AI are not art because humans don’t make them. 

53% of the younger generation, aged 18 to 34, also believe the same. 

However, 47% had a different opinion. They considered AI-generated images and videos as art. 

11. A big blockbuster movie will be released in 2030, with 90% of the movie produced by AI (from text to video), up from 0% in 2022. 


12. A survey involving 504 Yale undergraduates found they could accurately distinguish between human-made and AI-generated artworks at an average rate of 54%. 

(Yale Daily News)

That’s not too shabby, but also means there are times when it can be tricky to tell if people or machines make something.

13. Most AI art generators rely on a dataset of 5.85 billion photos. 


14. Midjourney, Dall-E, and NightCafe are the top three image-generation tools. Each has a quarter of the market’s users. 


15. Dream by WOMBO, is the world’s most widely used text-to-image AI art generator. 

(PR Newswire)

Dream by WOMBO is an accessible, intuitive AI art generator that turns written prompts into mesmerizing images across numerous creative styles. 

Available on popular smartphone operating systems, this innovative platform empowers artists and dreamers alike to explore limitless creativity, all protected by intellectual property rights.

According to the company’s report, over 1.5 billion artworks have been created on the platform.  

16. DALL·E, despite being paywalled, has more than 1.5 million users. 

(Open AI)

DALL·E is an AI-powered tool that creates unique images based on text descriptions. However, payment is required to access its full features. 

Despite this cost, over 1.5 million people have signed up to use the service and have created over 2 million images daily. 

17. In October 2022, Stable Diffusion had more than 10 million daily users. 


AI Art Market Statistics

18. North America accounted for 42% of the generative AI arts market.  

(Market Research)

North America accounts for nearly half of the global generative AI arts market, making it the dominant region. 

Its leadership stems from strong technological foundations, abundant resources, and a thriving AI community. 

The North American region, especially the U.S., has top AI research institutions, technology companies, and creative artists willing to explore the artistic side of generative AI. 

For example, U.S. states like New York and San Francisco have hosted exhibitions and workshops showing AI’s work in the art market. 

19. The size of Generative AI in the art market is projected to grow at a CAGR of 40.5%. 

(Market Research)

The market size is expected to grow from $212 million in 2022 to $5.8 billion in 2032. 

This growth is due to AI’s integration into visual art, music, and literature, which empowers artists with unique creations. 

Major players like OpenAI and Google Arts & Culture are driving this transformation. 

Generative AI is reshaping creativity and engagement in art globally, with North America, Europe, and Asia leading the adoption of AI-generated artworks. 

The projected market size means more opportunities for artists and businesses involved in the generative AI art space to explore and benefit from the industry.

20. Generative AI in art has created new revenue streams for artists through NFTs.

(Market Research)

NFTs are non-fungible tokens that allow artists to create and sell their digital art pieces as unique assets. 

21. Visual art is the dominating generative AI art segment. It holds a 44% market share. 

(Market Research)

There are three segments of generative AI in art — visual art, music, and literature. 

22. The global AI image generator market was $301.7 million in 2022 and will grow at a CAGR of 17.5% between 2023 and 2030. 

(Grand View Research)

23. The AI-generated NFT with the highest value was sold for $1.1 million. 

(I News)

This shows that people are willing to pay big bucks for something unique that can’t be copied. 

24. The most valuable NFT this year was Everydays by Beeple, selling for $69 million at Christie’s in March. 

(I News)

This groundbreaking sale made Beeple one of the most valued living artists and marked a significant turning point for the emerging field of NFTs. 

The work consists of 5,000 individual digital images, representing nearly two decades of daily creations by Beeple.

25. OpenAI was most recently valued at $20 billion in a secondary share sale. 


Existing owners were allowed to sell their shares, but no fresh capital entered the company. 

Previously, OpenAI was estimated to be worth around $30 billion following another share sale. 

The company’s rapid growth reflects the excitement surrounding AI, particularly due to the success of ChatGPT. 

26. San Francisco-based software startup Scenario raised $6 million before the Gen AI Engine’s early access debut. 

(Games Industry)

This funding round will help Scenario accelerate development, refine features, and prepare for wider adoption once the product becomes more accessible. 

With this investment, the team can continue pushing boundaries and delivering cutting-edge solutions leveraging generative AI. 

AI Arts Facts And History

27. The first significant AI art generator dates back to the 1970s. 

(Kate Vass Galerie)

In the ’70s, pioneering AI artist Harold Cohen introduced AARON – a groundbreaking program creating abstract images through rules and adaptation. 

Meanwhile, Vera Molnar’s generative compositions featured basic algorithms with geometrics. 

These efforts, through the introduction of neural networks and machine learning, initially paved the way for future advancements in AI art. 

28. After DeepDream was introduced by Google in 2015, several photo-to-art apps followed. 


These apps use AI to transform photos into famous fine art paintings. 

Examples include DeepArtEffects AI Photo Editor, Deep Dream Generator, and Deep Art Effects. 

They utilize artistic style transfer to create unique artworks from users’ pictures and allow easy sharing on social media. 

29. The initial widely used text-to-image generator was DALL-E from OpenAI. 

(NBC News)

DALL-E is a text-to-image generator developed by OpenAI that can create images from text descriptions. 

It uses a dataset of text-image pairs to generate images that adhere to the text provided. 

DALL-E can create human-like versions of animals and objects, combine unrelated concepts in plausible ways, render text, and transform existing images.

30. The second piece of text-to-image generator from OpenAI technology is WALL-E. 

(NBC News)

31. The discussion on AI art copyright dates back to 1985. 


In 1985, intellectual property law professor Pamela Samuelson argued that US copyright law should be amended to define algorithmically generated artworks as copyrightable. 

Since then, legal scholars, artists, and media corporations have considered artificial intelligence art’s legal and ethical implications. 

The key issue is whether AI-generated works are copyrightable and who, if anyone, might own that copyright. 

Impact Of AI Arts On Creativity And Artists

32. A study reveals that 74% of artists view using internet artwork for AI technology as unethical. 

(Book An Artist)

This is because they’re concerned about copyright infringements, potential job threats, biases embedded in content creation, and an overall loss of traditional artist autonomy and integrity in their work.

33. 70% of people believe artists should be compensated if generative AI copies their artistic works and styles. 


34. Nine out of ten artists think that copyright laws are outdated and cannot keep up with the quickly advancing AI technology.  

(Book An Artist)

35. More than half of artists worry that generative AI will harm their revenue. 

(Book An Artist)

These worried artists believe this technology may reduce demand or lower prices for original artwork since people might prefer cheaper alternatives created by machines. 

They also wonder whether copyright issues around machine-generated content will also affect them financially. 

36. Protecting their artwork should be the responsibility of several parties, including AI Generator Tech Organizations. 

(Book An Artist)

Artists, galleries, and AI firms must collaborate to protect artwork through innovative methods, copyright registration, legal action, and responsible practices.

37. About 65% of artists used text-to-image to test new ideas or produce assets they later included in their final work. 


AI technology can be a valuable resource for artists during brainstorming sessions or even while they are composing! 

According to Playform, 65% of respondents utilized it to generate fresh ideas and materials for the final work, making it an important element of the creative process. 

38. Text-to-image was considered highly beneficial by 45% of artists. 


While another 32% found it useful, they did not always incorporate it into their existing workflow. 

39. Artists demand clearer copyright laws and compensation for AI-generated artwork. 

(Book An Artist)

Artists are asking for better rules about who owns artwork created by artificial intelligence (AI) and want to be paid when others use their work. 

AI can now create artwork that looks like it was made by a human, which can make it difficult to determine who should receive credit and money for it. 

Supplementary AI Arts Statistics

40. 94% of Japanese artists fear AI will impact their livelihood. 

(Anime News Network)

Most Japanese artists surveyed expressed fear that AI could have negative repercussions, including job displacement or copyright infringement.

41. Generative Adversarial Network (GAN) is the most used technique for creating AI art. 

(Aela School)

Another popular technique used is “Image Style Algorithms”

42. Netflix faced criticism for incorporating AI-generated art in an Anime short film instead of hiring artists. 


43. Artist Greg Rutkowski was used as an AI art prompt 93,000 times without permission. 

(MIT Technology Review)

Raising concerns regarding intellectual property rights and creative acknowledgment amidst technological advancements in visual arts. 

Despite using new mediums like Midjourney or Stable Diffusion, respecting creators by seeking proper approval before using their content is essential, as fairness dictates.

44. Critics reacted negatively to Marvel’s Secret Invasion’s opening credits, which featured AI art. 


45. The WeChat mini-program is China’s most popular AI art generator, with over 4.5 million monthly active users. 


Wrap Up

The popularity of AI for creating artwork isn’t decreasing, leading to ongoing discussions about combining human creativity with AI. 

As more artists and companies adopt this technology, it could significantly impact an expected billion-dollar industry. 

New rules and legal measures may also shape the development of this field. In summary, as AI art grows rapidly, its future involves creative innovation and regulatory challenges. 


1. What Percentage of People Like AI Art?

Based on available surveys and studies, approximately 56% of individuals who have encountered AI art report enjoying it

Additionally, a separate source indicates that 61% of respondents stated that AI improves upon their artwork, suggesting a positive reception toward AI-generated art within specific contexts. 

2. How is AI being Used in Art?

The AI art trend employs AI algorithms, especially generative models, to create novel visual and multimedia artworks by analyzing existing data. 

Advancements in machine learning, notably OpenAI’s DALL-E in 2021, have fueled this trend. Developers embraced the AI art generation, leading to creations like Midjourey.

3. Will AI Art Overtake Artists?

AI art will most likely not overtake artists. Many experts believe that AI will complement human creativity, not replace it. 

AI can help artists with time-consuming tasks, like image processing or generating ideas. 

However, the human touch will always be necessary for truly unique and meaningful art.

4. How Much is the AI Art Industry Worth?

According to a recent report, the AI art industry is estimated to be worth around $5,840 Million by 2032. This is a significant growth from its current value of $212 Million in 2022

5. How Many AI Images are Generated Per Day? 

According to Fast Company, 34 million AI-generated images are created daily. 

This adds up to a staggering 15 billion images created using text-to-image algorithms in just one year!


Leave a Reply

Your email address will not be published. Required fields are marked *