100+ AI facts: Trends, stats, and surprising insights

It’s nearly impossible to go about your day without using or hearing about artificial intelligence (AI). It is spreading fast in business environments and our daily lives. From facilitating meetings to managing our homes, AI is capable of handling a multitude of tasks, sometimes even outperforming humans. In short, it is profoundly transforming our society, opening up a world of opportunities, and posing some challenges along the way.

Learning the facts about AI can help you make sense of this change. By understanding how and where it’s being used, you can find ways to use it to your best advantage. 

To get you started, we’ve gathered up 100-plus fascinating AI statistics gleaned from reputable sources. They run the gamut, covering everything from AI trends and industry-specific figures to innovative applications and fun facts. You’ll come away with a broader knowledge of AI and be inspired to make it work for you!

What is AI?

AI is a type of technology that can act in a way that typically requires human intelligence. It can simulate human learning, decision-making, problem-solving, and comprehension. AI technologies can consist of software alone or software with hardware and can act autonomously or with human or machine prompts.

These are the core technologies that are involved in formulating AI:  

• Machine learning (ML): ML enables AI systems to “learn” from past interactions, consistently enhancing their performance. 
• Deep learning: A type of ML, deep learning consists of multilayered, artificial neural networks that can make complex decisions, using a process similar to the way the human brain works. 
• Natural language processing (NLP): NLP is what AI systems use to “understand” human language, with a combination of ML, deep learning, and computational linguistics.

These technologies allow machines to interact with people and other machines, interpreting their prompts and requests, making appropriate decisions, and carrying out specific actions. AI technology is advancing every day, significantly expanding the scope of what it can do.

AI is being used across all industries and in all aspects of life. Amazon’s Alexa is a prime example of an AI tool in homes across the world. In business settings, AI tools help with everything from taking meeting minutes to developing project calendars to analyzing large swaths of data.

Facts about AI: Eye-opening statistics and trends

What is the state of AI today and what do experts in the industry think is going to happen in the future? Following are important facts and stats surrounding AI growth, AI adoption, the economic impact of AI on various industries, and more.

AI adoption 

1. Over 70 percent of organizations use some type of AI technology.
2. Some 65 percent of organizations regularly use generative AI.
3. Organizations that use generative AI are typically applying it in two business functions.
4. The adoption of generative AI in marketing and sales has more than doubled since 2023.
5. Almost 60 percent of organizations across the world are implementing generative AI with the goal of improving efficiency and productivity.  
6. Around 35 percent of worldwide organizations are looking to reduce overall costs by adopting AI solutions.
7. Around 29 percent of organizations across the globe want to improve their existing products and services by implementing AI solutions.
8. The adoption of AI solutions by organizations worldwide increased by nearly 5 percent from 2022 to 2023.  
9. Europe has the highest increase in AI adoption rates, at 10 percent year over year.
10. India and China have the highest rate of AI adoption, followed by the United States.
11. Today, users are more likely to have experience with generative AI in their personal lives as compared to 2023.
12. For most organizations, the launch time for an AI project is between one and four months on average.
13. Organizations that see the largest returns from using generative AI are most likely to follow AI best practices.
14. The majority of consumers (77 percent) use AI technologies.
15. Over half of consumers are aware of the latest trends and products in generative AI.

AI growth

16. The global AI market size was $638.23 billion in 2024 and is calculated to be $3,680.47 billion by 2034. 
17. However, the market size change for AI in the United States specifically is forecasted to decrease by 10.9 percentage points between 2024 and 2030. It is estimated that in 2030, the market size change will have decreased to 23.79 percent.
18. The financial services industry is projected to spend over$58 billion on AI in 2025, doubling to $126 billion by 2028.
19. In 2024, the market value of agentic AI was $5.1 billion. It is projected that this market value will surpass $47 billion, with a compound annual growth rate (CAGR) of over 44 percent.
20. The AI chip market is projected to reach close to $92 billion in 2025. 
21. The global AI robotics market size was over $19 billion in 2024, an increase of nearly 30 percent over the 2023 market size.
22. By 2030, the global AI robotics market is expected to surpass $35 billion.
23. The AI cybersecurity market was valued at $24.3 billion in 2023 and is forecast to double by 2026.  
24. The AI cybersecurity market is expected to reach $134 billion by 2030.
25. The deep learning segment of the AI market has captured a 37.4 percent share.

Economic impact of AI

26. Of the major western economies, the United States had the greatest number of AI companies in 2023, with 15,000+ companies engaging in the field.
27. The EU has around 6,000 companies engaging in AI.
28. The UK has nearly 9,000 companies engaging in AI.
29. The NLP market is expected to be almost 14 times larger in 2025 than it was in 2017, growing from $3 billion in 2017 to over $43 billion in 2025.
30. In what is being calledthe Stargate project, OpenAI and Microsoft plan to invest $500 billion over the next four years to build new AI infrastructure for OpenAI. 
31. Some 85 percent of employees expect AI to replace their current job.
32. Over half of workers expect AI to change the way they do their jobs.
33. Some 62 percent of people expect AI will majorly impact jobholders in the next 20 years.

AI in industries

34. The banking sector’s spending on generative AI is projected to grow to $84.99 billion by 2030, with a 55.55 percent CAGR.
35. In the financial services industry, 57 percent of firms use AI for data analytics, making it the sector’s leading application among firms.
36. Generative AI is the second-most widely used AI solution in financial services.
37. By 2025, drug discovery is forecasted to account for the largest part in the global biopharmaceutical AI market, with an increase from $159.8 million in 2018 to $3 billion in 2025.
38. Some 60 percent of retail organizations plan to increase their AI infrastructure investment in the next year and a half.
39. Organizations most often see meaningful cost reductions from generative AI in human resources.
40. Organizations see meaningful revenue increases from generative AI in supply chain management.
41. Organizations in the energy, technology, and media industries are most likely to customize their generative AI solutions.
42. Some 64 percent of business owners believe AI will improve their relationships with customers.
43. Developers expect to be 30 percent more efficient when using AI assistants.

Fascinating facts about AI you didn’t know

If you’re looking for insightful facts, stats, and trends about AI that make you think, you’ll find them in this section, along with interesting tidbits on the benefits, challenges, and future of AI.

AI benefits 

44. Some 26 percent of organizations want to shift workers from lower to higher value tasks with the use of AI.
45. Only 18 percent of organizations around the world hope to use AI technology to detect fraud and manage risks.
46. With client experience being of great importance, 23 percent of worldwide organizations hope to use AI to strengthen their customer relationships.
47. Some 29 percent of organizations around the world want to use AI to encourage innovation and growth among their teams.
48. A quarter of worldwide organizations want to increase revenue with the use of AI in the workplace.
49. While AI takes a considerable amount of energy and water to run, AI tools can be put to good environmental use as well, such as for detecting leaks in pipelines, tracking deforestation, and improving warning systems for climate disasters.
50. Leading companies dedicate 80 percent of their AI investment to reshaping the core functions of their business.
51. Some 63 percent of American CEOs want to use generative AI to help their teams discover new ideas and insights.
52. When investing in responsible AI practices, 46 percent of executives say that they want to differentiate their organization, products, and services.

AI challenges

53. In 2023, AI was estimated to represent 8 percent of total data center power consumption. By 2028, it is expected to reach 20 percent. 
54. Google’s greenhouse gas emissions grew by nearly 50 percent in 2023 compared to 2019 levels, driven by the company’s expanding AI use.
55. Water is used to cool AI data centers. Microsoft’s annual water withdrawals have increased by over 60 percent since 2020.
56. In 2025 and beyond, organizations that develop AI products will be required to provide clear explanations of their AI decision-making processes for transparency and reliability.
57. About half of all organizations are using off-the-shelf generative AI solutions, with little to no customization.
58. Inaccuracy is seen as the biggest risk for organizations using generative AI.
59. Organizations also view intellectual property infringement as a significant risk of using generative AI.
60. About a quarter of users have stated they have experienced negative consequences from generative AI’s inaccuracy.
61. Organizations experience the most challenges relating to data when capturing value from generative AI.
62. Over 40 percent of executives say that workforce issues, including training and culture, are among the leading challenges their organizations face in using generative AI.
63. Over 40 percent of businesses are concerned about having an overdependence on technology because of AI.
64. Almost half of consumers (49 percent) say they are not concerned about fake news stories generated by AI tools.
65. Some 30 percent of consumers trust generative AI.

Interesting applications of AI

66. An era of AI consumer tech devices is upon us, with around 32 percent of smartphones shipped in 2025 expected to be AI-capable.
67. In 2025, 43 percent of PCs shipped will be AI-capable.
68. The global AI-driven hardware market is expected to reach $171.19 billion by 2025.
69. Some 67 percent of top-performing companies are already realizing value in using generative AI technology for product and service innovation.
70. The majority of executives (73 percent) say they will use generative AI to transform their company’s business model.
71. One in three businesses plan to use ChatGPT to write their website copy.
72. Some 44 percent of businesses plan to use ChatGPT to write content in various languages.
73. Over a quarter of consumers use AI for creative processes, such as brainstorming.
74. Some 66 percent are comfortable seeking advice on personal interactions or relationships from a generative AI tool.
75. Some 70 percent seek product recommendations from generative AI tools.
76. Almost a third of consumers (33 percent) would pay more for tax preparation services that use generative AI.

Fun facts about AI’s capabilities

77. Deep neural networks used for speech identification have developed significant improvements in speech and voice recognition in AI technologies.
78. Between 2026 and 2032, we may run out of publicly available training data for AI language models.
79. AI technologies are being adopted in the banking and finance sectors for handling account inquiries, conducting loan applications, detecting fraud, and monitoring credit scores. 
80. In early 2025, OpenAI launched a new tool called Deep Research, which can conduct multistep research on the internet for complex tasks. 
81. Diffusion models, like the ones used in DALL-E, can use text prompts to generate highly detailed images.
82. In 2020, a supercomputer identified chemicals that could stop COVID-19 from spreading.
83. Google’s AI was able to outperform Alexa and Siri in a series of tests.
84. Some experts believe AI could pose an existential threat to humanity if not developed properly.
85. Some 67 percent believe they could benefit from receiving medical advice from generative AI tools.
86. Over half of consumers trust generative AI tools for financial planning.
87. Almost all mobile phone users (97 percent) use AI-powered voice assistants.

ML facts

88. The global market size change in the ML segment of the AI market is forecast to decrease by 28.2 percentage points between 2024 and 2030.
89. ML is being used in a wide range of industries, supporting use cases spanning from automated stock trading to customer service.
90. ML is the largest segment of the AI market.
91. In 2024, the United States led the world in ML development, producing 61 programs.
92. France, Germany, and the UK have a smaller economic size and population than China, but produced 17 ML models while China produced 15 in 2024. 

Facts about the future of AI

93. There will be more autonomous agentic AI workflows in 2025.
94. By 2025, global revenues from AI in enterprise applications are expected to increase from $1.62 billion in 2018 to $31.2 billion.
95. 77 percent of companies plan to reskill and upskill their employees to get the most out of AI tools.
96. Some 41 percent of companies plan to lay off employees by 2030 as a result of AI capabilities.
97. East Asia could witness the most job gains from using AI for environmental applications, increasing its workforce by 2.5 percent by 2030, which is around 25.1 million new jobs.
98. We’re going to see more voice-powered AI solutions, such as OpenAI’s new Realtime API.
99. AI will be able to cut product life cycle development in half for many industries, including healthcare and aerospace.
100. AI agents could help significantly increase the workforce for many organizations.
101. Tech investors will use more data science and AI, rather than gut instinct, when making business decisions.
102. AI will have a bigger impact on humanity than fire and electricity, according to Google CEO Sundar Pichai.

What does the future of AI hold?

AI is evolving rapidly, which means you shouldn’t get too comfortable! As these fascinating facts about AI show, there is no limit to what this technology can do or what you can do with it. 

The best way to explore AI is to get hands-on. Consider an area of interest for you, personal or professional, and seek out an AI tool that has the potential to enhance it. Many AI solutions have free or low-cost options, so you can get your feet wet with minimal risk. See how AI can benefit your life today!