100+ Must-Know Generative AI Statistics

Over recent years, artificial intelligence has been rapidly advancing and leading to significant breakthroughs across many industries. One area that has seen particularly rapid growth is generative AI.

It is a branch of artificial intelligence that focuses on creating new and original content, such as images, text, music, and video, based on existing data and models.

Aside from its many applications in various industries, such as entertainment, education, and healthcare; it’s considered to be one of the most innovative fields of AI research and development because it challenges the boundaries of human creativity and intelligence.

In this article, we’ll explore the world of generative AI statistics to give you a complete and factual overview of the current and future state of this fascinating field. By examining current trends and forecasts, we hope to shed light on the tremendous potential of generative AI and help you get the most out of it.

Explosive Growth in Generative AI Adoption

Generative AI’s adoption continues to grow exponentially with professionals and organizations integrating these transformative technologies into their daily operations.

As we delve deeper into the statistics, it becomes clear that Gen AI is making significant inroads across various sectors, revolutionizing the way we work, interact, and innovate.

• In a recent survey, 79% of all respondents say they’ve had at least some exposure to gen AI, either for work or outside of work, and 22% say they regularly use it in their own work.

• In under a year since the introduction of many of these tools, one-third of survey participants report that their organizations are already utilizing generative AI regularly in at least one business function. 

• More than 25% of respondents from companies using AI say generative AI is already on their boards’ agendas.

• Nearly 25% of surveyed C-suite executives say they are personally using gen AI tools for work.

• Fishbowl’s survey of 11,793 industry professionals revealed that 43% of them have used ChatGPT in the workplace vs. 57% who haven’t.

• According to IBM’s 2023 CEO study, half (50%) of CEOs surveyed report they are already integrating generative AI into digital products and services. 

• A Gartner customer service and support survey of 50 respondents conducted online revealed that 54% of respondents are using some form of chatbot, VCA, or other conversational AI platform for customer-facing applications.

• In the US during 2023, there was a reported 37%, 35%, and 30% adoption rate of generative AI across the marketing, technology, and consulting sectors respectively.

• In a survey by Statista in 2023, it was found that 29% of Gen Z professionals in the US employed generative AI tools. In addition, 28% of Gen X and 27% of millennials reported using these tools.

• Within the initial five days of its release, ChatGPT garnered a user base of one million.

• ChatGPT had roughly 13 million daily active users and 1 billion monthly users in 2023 according to their records.

• From the time it was introduced in March 2023, Google Bard has maintained an average of 140.6 million monthly visitors.

• Microsoft announced its “new Bing” in partnership with OpenAI utilizing ChatGPT technology currently has 100 million daily active users.

• MidJourney, a generative AI startup, has reported having 14 million total users and an average of 90,000 new users joining its Discord server on a daily basis.

Generative AI’s Enormous Economic Potential

Gen AI acts as a transformative force not only in technological adoption but also in economics.

The statistics surrounding the economic potential of generative AI paint a vivid picture of its profound impact on the global economy, representing a significant opportunity for both established players and startups alike:

• As of now, the global generative AI market has a valuation that exceeds $13 billion.

• The global generative AI market is anticipated to reach more than $22 billion.

• The Generative AI market size was valued at USD 4.4 billion in 2022. The generative AI market industry is projected to grow from 18.0 billion in 2023 to USD 404.8 billion by 2023, exhibiting a compound annual growth rate (CAGR) of 56.6% during the forecast period (2023 – 2032).

• According to estimates by the McKinsey Global Institute, generative AI is projected to contribute between $2.6 trillion and $4.4 trillion in annual value to the global economy. This expected impact is set to increase the overall economic influence of AI by 15% to 40%.

• The global generative AI market is set to see significant expansion, projected to surge from $43.87 billion in 2023 to an impressive $667.96 billion by 2030, driven by a compound annual growth rate (CAGR) of 47.5% during the forecast period.

• The global generative AI market size is anticipated to grow at a CAGR of?35.6%?during the forecast period, from?USD 11.3 billion?in 2023 to?USD 51.8 billion?by 2028.

• According to Forbes, generative AI could raise global GDP by?$7 trillion?(nearly?7%) and boost productivity growth by 1.5 percentage points.

• The market is expected to show an annual growth rate (CAGR 2023-2030) of 24.40%, resulting in a market volume of US$207.00bn by 2030, Statista predicts.

• According to a report authored by Goldman Sachs economists Joseph Briggs and Devesh Kodnani, generative AI holds substantial economic promise and has the capacity to enhance global labor productivity by over 1 percentage point annually in the decade following its widespread adoption.

Record-Breaking Investments in Generative AI

In recent years, there has been a surge in investment activity in the generative AI space, with major tech giants such as Microsoft making strategic acquisitions and venture capital firms pouring billions of dollars into promising startups.

The statistics that follow offer a glimpse into the resounding impact of these investments:

• Investments made into generative AI systems totaled around $4.5 billion in the year 2022.

• Six companies operating in the generative AI sector have achieved unicorn status, indicating their valuation exceeds $1 billion. These companies include OpenAI, Hugging Face, Lightricks, Jasper, Glean, and Stability AI, as reported by CB Insights.

• In January 2023, Microsoft invested $10 billion in OpenAI, the developer of the popular generative AI chatbot ChatGPT.

• In a 2023 survey, 40% of respondents said their organizations will increase their investment in AI overall because of advances in generative AI.

• As of Q2’23, 2023 has already marked a record-breaking year for investment in generative AI startups. Equity funding has surged to exceed $14.1 billion, spanning 86 deals.

• A recent survey conducted by Gartner, Inc., involving over 2,500 executive leaders, revealed that 45% of respondents indicated that the publicity of ChatGPT has led them to boost their investments in artificial intelligence.

• The insights firm’s AI benchmark study shows that 47% of companies surveyed expressed positive sentiment about the impact of these investments, with 92% of U.S. respondents planning to increase AI investment in the next 12 months.

• VC firms invested over?$1.7 billion in generative AI over three years, with AI drug discovery and software coding receiving the most funding.

Generative AI Transforming Healthcare and Drug Discovery

Gen AI has the power to transform various industries, and healthcare is no exception.

The following statistics cast light upon the remarkable potential and rapid growth of Gen AI in healthcare and drug discovery which eventually leads to accelerating medical research, improving patient outcomes, and reducing costs:

• Gen AI in healthcare is expected to develop faster than any other industry, with a compound annual growth rate of 85% through 2027, reaching a total market size of $22 billion. 

• In 2022, the global generative AI in the healthcare market held a value of USD 0.8 billion. By 2032, it is anticipated to reach a valuation of USD 17.2 billion.

• Australia’s healthcare sector could potentially obtain $13 billion in added value by incorporating generative AI into their practices.

• For those who have awareness of AI-assisted surgery, 56% acknowledge it as a major medical breakthrough, while 22% regard it as a minor one, and a mere 5% do not recognize it as any form of advancement.

• Among US adults who are aware of mental health chatbots, 19% see them as a major advancement, 36% as a minor advancement, and 25% do not see them as an advancement at all.

• Mayo Clinic, headquartered in Rochester, Minnesota, has already developed 184 predictive AI models, with 18 of them deployed in clinical settings and 35 undergoing research and development.

• According to Statista, as of December 2019, there were 59 startups applying artificial intelligence to the area of generating novel candidates in drug discovery and 13 startups were using AI for designing new drugs.

• In 2021, global funding in artificial intelligence drug discovery and design saw a peak of 4.7 billion U.S. dollars.

• The global market for AI-enabled drug discovery and clinical trials is experiencing significant growth. The compound annual growth rate for the period 2019-2030 is expected to be around 25%.

• by 2025, more than 30% of new drugs and materials will be systematically discovered using generative AI techniques, up from zero currently.

• Across the globe, 67% of consumers believe they could find value in receiving medical diagnoses and advice from generative AI, while 63% eagerly anticipate the role of generative AI in improving drug discovery by making it more precise and efficient.

Generative AI’s Soaring Impact on Education

As technology continues to advance, so too does our understanding of how best to educate ourselves and others.

Integration of generative AI in education has the capacity to shape the way students learn, teachers instruct, and educational institutions operate as illustrated in the following statistics:

• a UNESCO global survey of over 450 schools and universities found that fewer than 10% have developed institutional policies and/or formal guidance concerning the use of generative AI applications.

• 30% of college students have used ChatGPT for written homework. Of this group, close to 60% use it on more than half of their assignments.

• In an EDUCAUSE QuickPoll, 67% of respondents reported that they’ve used a generative AI tool for their work in the current 2022–23 academic year, and another?13%?reported that they anticipate using generative AI in their work in the future.

• More than 90% of teachers said they had never had any training or even advice on how to use generative AI in school.

• An AI-powered chatbot can provide a response to a student’s question in just 2.7 seconds.

• 23% of survey respondents believe students are using generative AI for submitting generated material without editing it.

• Some members of the faculty and staff have been utilizing generative AI technology for educational purposes such as creating classroom exercises (24%), generating conversation topics (22%), and designing homework and assignment tasks (22%).

• Approximately 50% of Cambridge students have used generative AI for academic purposes.

• In the United Kingdom, 67% of secondary school students rely on generative AI when working on homework and assignments.

• As many as 50% of teachers assert that they incorporate generative AI into their lesson planning, including collecting contextual knowledge and formulating intriguing classroom activities.

• An analysis of confidential data obtained from numerous college and high school learners globally unveiled that 11.21% of submitted papers and tasks consisted of AI-produced material. Interestingly, this figure was higher among high school students (12.18%) than it was in colleges (9.27%).

• In Sweden, over 5,000 university students were surveyed, revealing that 95% of them were familiar with generative AI, while 56% expressed a positive attitude toward integrating AI into their studies, and 35% confessed to utilizing AI regularly, with OpenAI’s ChatGPT emerging as the preferred tool.

• The appeal of generative AI tools like ChatGPT appears to differ significantly between male and female teenagers. 61% of teenage boys have learned about this product, whereas 39% have put it to use. Meanwhile, only 53% of teenage girls have encountered ChatGPT, and merely 17% have used it.

• In a US survey of 1,000+ parents, 78% opposed their children using AI-generated content for schoolwork and called for safeguards. Additionally, 45% were aware of AI being used in ways schools might disapprove of.

Ethical Considerations of Generative AI

The capabilities of generative AI continue to expand and so should the ethical considerations surrounding its development and application. From privacy concerns to issues of bias and accountability, the impact of generative AI on society must be carefully considered.

These statistics and real-world examples provide insight into the complex moral landscape of generative AI:

• 79% of senior IT leaders reported concerns that these technologies bring the potential for security risks, and another 73% are concerned about biased outcomes.

• Recent research shows that 35% of marketers face issues related to “risk” and “governance” when working with AI-created content.

• Research indicates that 56% of U.S. adults are concerned about possible biases or mistakes in AI-generated content.

• Generative AI systems such as ChatGPT can only guarantee accuracy in their responses 25% of the time.

• In a case filed in late 2022, Andersen v. Stability AI et al., three artists formed a class to sue multiple generative AI platforms based on the AI using their original works without a license to train their AI in their styles.

• Over 75% of consumers are concerned about misinformation from AI.

• Of the 30% of college students who have used ChatGPT on written homework, 75% believe it is cheating but use it anyway.

• US adults who showed strong confidence in generative AI were found to be 60% males versus 40% females, whereas those exhibiting strong mistrust were mostly females (53%) compared to males (47%).

• Employees appear to be increasingly anxious about the possibility of hackers leveraging generative AI to create scam emails, with 82% reporting this concern.

• Deepfakes seem to be causing unease amongst American citizens, with 75% expressing concern over them.

• A sizable group of UK generative AI users (43%) believe that these platforms are always honest and truthful.

• A significant 60% of college students in the United States report that their instructors have not provided guidance on using AI in an ethical and responsible manner.

• Consumer awareness concerning the ethical dilemmas related to generative AI remains relatively low, with just 33 percent expressing unease about copyright issues, and an even more modest 27 percent expressing concern about the potential use of generative AI algorithms to imitate competitors’ product designs or formulas.

Generative AI’s Influence on Jobs and Workforce

The rise of generative AI has sparked debate about its potential impact on employment and job markets. While many fear that automation will lead to widespread unemployment, others argue that new opportunities will arise as industries adapt to emerging technologies.

The following statistics provide a window into the impact of Gen AI on the jobs and workforce of today and tomorrow:

• A significant portion of companies, amounting to over 60%, integrate generative AI into their office operations.

• Approximately 80% of the U.S. workforce could have at least 10% of their work tasks affected by the introduction of GPTs, while around 19% of workers may see at least 50% of their tasks impacted.

• A recent report from Goldman Sachs underscores that Gen AI tools and large language models (LLMs) have the potential to jeopardize the equivalent of 300 million full-time jobs.

• By 2026, over 100 million humans will engage robocolleagues to contribute to their work.

• Forrester’s research found that generative AI is likely to influence a grand total of 11 million jobs by 2023, making the tech 4.5 more likely to reshape a role than stamp it out altogether.

• By 2027, nearly 15% of new applications will be automatically generated by AI without a human in the loop.

• Office and administrative support positions top the list for automation, with 46% of roles predicted to become automated. Lawyers and architects/engineers also face significant automation rates of 44% and 37% respectively.

• Research reveals that 80% of females are employed in fields vulnerable to high levels of automation through generative AI, where at least 25% of tasks can be performed by artificial intelligence. Only 60% of men are in similar roles, meaning AI could displace more women than men from their jobs.

• A survey including 500 tech professionals in 12 sectors discovered that 68.4% felt assured that generative AI tools would not jeopardize their job security. 

• Generative AI could help decrease the workload of the average worker by anywhere from 60% to 70%. This reduction is equivalent to roughly 40% of one’s total working time during the day.

• According to a survey by Forbes Advisor, a notable 64% of businesses believe that artificial intelligence will play a pivotal role in boosting their overall productivity. 

• 87% of executives surveyed believe employees are more likely to be augmented than replaced by generative AI. 

• 7% of jobs in the US may be replaced by AI, while 63% will be enhanced by AI, and 30% will remain unaffected.

• A majority of 62% of adults in the United States believe that the utilization of AI in the workplace has the potential to save both time and resources.

• Nearly half, or 47%, of US adults, express the view that AI should take over repetitive tasks in the workplace to enhance efficiency and productivity.

• 75% of generative AI users are interested in automating tasks in their professional settings and employing generative AI for work-related communications.

• Approximately 39% of sales professionals are concerned that their job security could be jeopardized if they do not acquire proficiency in using generative AI in their work.

Generative AI Redefining Art 

In addition to its practical applications, generative AI has also had a profound impact on the world of art. From music composition to visual arts, creatives are exploring the possibilities offered by these advanced algorithms:

• In October 2022, Stable Diffusion, an open-source image generator developed by Stability AI, boasted over 10 million daily users, solidifying its position as the world’s leading tool of its kind. This achievement has propelled the company’s valuation to surpass $1 billion.

• Out of the roughly 16 functional AI art/image generator apps accessible on Google Play, Dream by WOMBO takes the lead with an impressive 10 million-plus downloads. When considering iOS downloads, the company asserts a substantial user count of 60 million, with these users having collectively produced 1.5 billion artworks.

• The origins of AI-generated art trace back to the 1970s when Harold Cohen’s pioneering efforts at the University of California, San Diego, led to the development of the AARON system.

• According to a report from BBC News, the most expensive AI artwork ever sold through traditional means fetched a staggering sum of $432,000.

• The most valuable AI-generated NFT was sold for $1.1 million, according to iNews.

• Among the surveyed Americans, a mere 27% claim to have encountered AI art, yet 56% of those who did report that they found it enjoyable.

• According to research conducted by Tidio, it is simpler for people to distinguish AI-generated cat images, with 69.5% of respondents successfully doing so, compared to AI-generated human portraits, which only 30% of respondents could recognize.

• According to a survey conducted by the Authors Guild,?23%?of writers reported using generative AI as part of their writing process. Of that group,?54%?use ChatGPT.

• In 2022, the global generative AI in the music market was assessed to be worth USD 229 million. Between 2023 and 2032, this market is estimated to register the highest CAGR of 28.6%. It is expected to reach USD 2,660 million by 2032.

• According to Gartner, by 2030, a major blockbuster film will be released with 90% of the film generated by AI (from text to video), from 0% of such in 2022.

• On September 6, 2023, a collective of 79 artists who harness generative AI technology penned a letter addressed to the Senate. They asserted that generative AI has the capacity to democratize art by dismantling traditional barriers.

• OpenAI says their DALL-E AI system is used by more than 3,000 artists from more than 118 countries.

• Greg Rutkowski’s artwork served as an AI art prompt without consent in an astounding 93,000 instances.

• According to Book and Artist, 89% of artists contend that updates to copyright laws are necessary to account for the influence of AI.

The statistics presented in this article show the immense potential that generative AI holds. It is a testament to the technology’s rapid growth, its capacity to stimulate economic progress, and its impact on various industries, including healthcare, education, and even the arts.

Generative AI, a catalyst for innovation, challenges the boundaries of human capability, transforms industries, and invites us to explore new horizons. Navigation through the world of Gen AI offers boundless opportunities and challenges that will shape the course of technology and society for years to come.