169+ Artificial Intelligence Statistics for 2026 (NEW)
Curious about the state of artificial intelligence (AI) in 2026?
You’re in the right place.
Below is a curated and verified list of the most up-to-date AI statistics, organized for easy reference.
Top AI Statistics (Editor’s Picks)
Here are the most insightful AI statistics we think you should know:
Open-weight models nearly matched closed-weight ones, shrinking the Chatbot Arena gap from 8.04% in early 2024 to 1.7% by February 2025. (Stanford HAI)
In 2024, 78% of organizations used AI, up from 55% a year earlier. (Stanford HAI)
In 2024, U.S. private AI investment hit $109.1 billion, almost 12 times China’s $9.3 billion and 24 times the U.K.’s $4.5 billion. (Stanford HAI)
In 2024, generative AI drew $33.9 billion in global private investment, up 18.7% from 2023. (Stanford HAI)
The July 2024 survey found that 78% of organizations use AI in at least one function, up from 72% in early 2024 and 55% a year before. (McKinsey)
Accenture estimates AI could add $461 billion in value to global healthcare by 2035, boosting an industry set to exceed $2.26 trillion. (Nasdaq)
83% of executives see AI as a strategic priority for their businesses. (Cisco)
The global AI market was valued at $390.9 billion in 2025 and is expected to grow to $3.5 trillion by 2033, with a 31.5% CAGR. (Grand View Research)
87% of global organizations believe AI will give them a competitive edge. (BCG)
Netflix’s recommendation system is worth $1 billion in annual revenue. (Business Insider)
Market Size & Investment
By 2030, AI could add up to $13 trillion to the global economy. (ResearchGate)
In 2025, the U.S. led the global AI market with an estimated size of $46.99 billion. (Statista)
The global generative AI market reached $37.87 billion in 2024, up $32.36 billion since 2020, and is projected to grow by another $404.2 billion by 2031. (Statista)
By 2027, AI-related hardware and software could reach almost $1 trillion, with growth of 40% to 55%. (Bain & Company)
In 2024, global corporate AI investment reached $252.3 billion, up 44.5% in private funding and 12.1% in M&A since 2023—over 13 times higher than in 2014. (Stanford HAI)
AI patents rose from 3,833 in 2010 to 122,511 in 2023, up 29.6% in the past year, with China holding 69.7% of all patents. (Stanford HAI)
The AI products and services market is projected to reach $780–990 billion by 2027. (Bain & Company)
The global machine learning market reached $77.13 billion in 2024, up $27.61 billion since 2020, and is expected to grow by $491.19 billion by 2031. (Statista)
The global NLP market reached $39.79 billion in 2024, up $26.41 billion since 2020, and is projected to grow by $161.7 billion by 2031. (Statista)
The global AI robotics market surpassed $17 billion in 2024, up nearly 30% from 2023, and is projected to reach almost $100 billion by 2031 with about 20% annual growth. (Statista)
In 2024, AI startups made up 44% of new unicorns, up from just 6% in 2015. (Statista)
In 2025, NVIDIA is the most valuable AI company at $4.446 trillion, followed by Microsoft at $3.367 trillion and Apple at $3.333 trillion. (CompaniesMarketcap)
Models, Performance & Efficiency
In 2024, U.S. institutions produced 40 major AI models, far outpacing China’s 15 and Europe’s three combined. (Stanford HAI)
AI training efficiency surged in 2024, with GPT-3.5-level model query costs on MMLU plunging from $20 to $0.07 per million tokens, a 280-fold drop. (Stanford HAI)
By the end of 2024, leading U.S. and Chinese models were nearly tied, with gaps of only 0.3 points on MMLU and 3.7 on HumanEval. (Stanford HAI)
Between 2022 and 2024, the smallest model scoring over 60% on MMLU shrank 142×, from PaLM’s 540B parameters to Microsoft’s 3.8B Phi-3-mini. (Stanford HAI)
OpenAI’s o1 model set a new MedQA record in 2024 with a 96% score, up 5.8 points from 2023 and 28.4 points since 2022. (Stanford HAI)
Infrastructure & Environment
Training compute for major AI models doubles about every five months, datasets every eight, and power needs keep rising yearly. (Stanford HAI)
Training emissions hit 8,930 tons for Llama 3.1 405B in 2024, surpassing GPT-4’s 5,184 tons and GPT-3’s 588. (Stanford HAI)
AI workloads are expected to grow 25–35% annually through 2027. (Bain & Company)
Data-center electricity demand is projected to rise 16% by 2030, increasing water-cooling requirements. (Investopedia)
Researchers estimate ChatGPT’s training consumed about 185,000 gallons of water—around 6% of local peak supply—while a user session of 10–50 prompts uses roughly half a liter. (Investopedia)
Goldman Sachs projects data-center power capacity to rise 165% by 2030, worsening AI’s energy, heat, and water strain. (Investopedia)
Data centers in Phoenix, Arizona, can require more than 170 million gallons of cooling water per day, intensifying the region’s water scarcity. (Investopedia)
By 2027, global AI demand could consume 1.1–1.7 trillion gallons of freshwater a year—about the same as all California households—and is growing faster than any sector except agriculture. (Investopedia)
Policy, Governance & Safety
Medical AI ethics publications nearly quadrupled, rising from 288 in 2020 to 1,031 in 2024. (Stanford HAI)
AI-related legislation at the U.S. state level jumped from one law in 2016 to 49 in 2023 and 131 in 2024. (Stanford HAI)
In 2024, AI was mentioned 1,889 times in legislation across 75 countries, up 21.3% from 2023 and nine times more than in 2016. (Stanford HAI)
In 2024, the U.S. issued 59 AI-related regulations—over twice 2023’s 25—through 42 agencies, double the previous year’s 21. (Stanford HAI)
By 2024, 24 U.S. states had passed deepfake laws, up from just five with such election laws before 2024. (Stanford HAI)
Global confidence in AI companies’ data protection fell from 50% in 2023 to 47% in 2024. (Stanford HAI)
28% of AI-using organizations report CEO oversight of AI governance, and 17% say it’s managed by their board of directors. (McKinsey)
Among gen AI users, 27% say employees review all outputs before use, while a similar share reviews 20% or less. (McKinsey)
Nearly half (47%) of organizations reported negative outcomes from gen AI use, slightly higher than 44% earlier in 2024. (McKinsey)
Consumer trust in companies’ AI data practices rose four points to 33%, while trust in AI tools grew to 43%, up from 40% in 2024. (Attest)
68% of Gen AI users trust the information they receive, and about 14% say they trust it completely. (Attest)
Support for AI laws is highest among consumers aged 50+, with 85% favoring data-collection limits and 89% backing mandatory labeling of AI-generated content, compared to 74% and 77% among ages 18–30. (Attest)
43% of consumers are concerned about AI-related privacy and security risks. (Attest)
Over half of U.S. adults (55%) want more control over how AI affects their lives. (Pew Research Center)
AI misinformation is a major concern for 66% of adults and 70% of AI experts. (Pew Research Center)
Bias in AI decisions concerns 55% of both AI experts and the public. (Pew Research Center)
Around 60% of U.S. adults and 56% of AI experts worry the government won’t regulate AI enough, rather than overregulate it. (Pew Research Center)
64% of Democrats and 55% of Republicans say they’re more worried about too little AI regulation. (Pew Research Center)
62% of the public and 53% of AI experts say they have little or no confidence in the government’s ability to regulate AI effectively. (Pew Research Center)
59% of the public and 55% of AI experts have little or no confidence in U.S. companies to develop or use AI responsibly. (Pew Research Center)
Among academic experts, 60% doubt companies use AI responsibly, compared with 39% of those in private industry. (Pew Research Center)
54% of people say they’re cautious about trusting AI systems. (KPMG)
70% of people say AI regulation is necessary. (KPMG)
Just 43% of people worldwide think current laws are sufficient to ensure AI safety. (KPMG)
Most people favor international AI laws (76%), joint industry–government regulation (71%), and national oversight (69%). (KPMG)
A strong majority (87%) want legal measures and fact-checking to address misinformation from AI. (KPMG)
79% of people worry about AI risks, and 43% have seen or experienced negative effects. (KPMG)
Only 17% say AI regulation isn’t needed, while 13% remain unsure. (KPMG)
83% of people say they’re unaware of any AI laws or regulations in their country. (KPMG)
83% of people say they’d trust AI more if assurance measures like human oversight and accountability were in place. (KPMG)
Only 41% of employees say their organization has a policy on using generative AI at work. (KPMG)
Nearly half of employees (49%) using AI admit to entering sensitive or copyrighted company data into public tools. (KPMG)
57% of employees admit to using AI non-transparently, including passing off AI-generated work as their own or hiding its use. (KPMG)
56% of employees say they’ve made mistakes at work because of AI use. (KPMG)
66% of employees say they rely on AI output at work without questioning its accuracy. (KPMG)
59% of students say they’ve used AI in ways that violate their school’s policies. (KPMG)
Only 31% of students say their school has a policy for responsible generative AI use. (KPMG)
The share of people worried about AI climbed from 49% in 2022 to 62% in 2024. (KPMG)
80% of students say their school’s AI integrity policy is clear, and 76% think AI use in assessments would be detected. (HEPI)
Globally, 55% of people see AI as more beneficial than harmful, up from 52% in 2022. (Stanford HAI)
41% of teens recognize both the benefits and risks of generative AI, expecting it to have mixed effects on their lives over the next decade. (Harvard Graduate School of Education)
28% of LGBTQ+ teens say generative AI will have a mostly negative impact on their lives, compared with 17% of cisgender or straight youth. (Harvard Graduate School of Education)
76% of AI experts believe AI will benefit them personally, while 15% expect it to cause harm. (Pew Research Center)
38% of Americans feel more concerned than excited about AI’s growing role, 15% are more excited, and 46% feel both equally. (Pew Research Center)
65% of employees under 35 admit to careless or inappropriate AI use at work. (KPMG)
In 2024, 84% of businesses viewed AI positively in their work, while 36% of government organizations reported negative perceptions. (Statista)
Adoption & Usage
From September 2024 to September 2025, ChatGPT held 81.12% of the market, followed by Perplexity at 10.85% and Microsoft Copilot at 4.04%. (Statcounter)
Sam Altman reported that a million users joined ChatGPT within an hour of launching its image-generation feature. (Fortune)
ChatGPT’s weekly active users grew eightfold from October 2023 to April 2025, surpassing 800 million. (Semrush)
OpenAI’s generative AI tools reached 100 million users in just two months. (KPMG)
As of late 2024, about 40% of Americans ages 18 to 64 reported using generative AI. (NBER)
79% say people in the U.S. interact with AI several times a day or almost constantly. (Pew Research Center)
An AI search visitor from sources like ChatGPT converts 4.4× better than a traditional organic search visitor. (Semrush)
Two-thirds of people worldwide expect AI to affect daily life within 3–5 years, up six points since 2022. (Stanford HAI)
14% of Americans use AI daily, 12% weekly, 23% occasionally, and 51% never use it. (NORC)
Non-use of AI for personal tasks is highest among adults 60+ (64%) and lowest among those 30–44 (39%). (NORC)
57% of women never use AI for personal tasks, compared with 45% of men. (NORC)
Men use AI more often, with 18% daily and 14% weekly users, versus 10% daily and 10% weekly among women. (NORC)
Non-use of AI for personal activities is most common among those with a high school education or less (61%) and least common among those with a bachelor’s degree or higher (41%). (NORC)
Non-Hispanic Black adults report 20% daily AI use, slightly higher than White or Hispanic adults, while Multiracial and Other workers lead at 30% daily use and just 31% non-use. (NORC)
79% of AI experts think Americans interact with AI several times a day or more, while only 27% of adults believe they do. (Pew Research Center)
30% of U.S. adults say they use AI daily or several times a week, while 43% do so less often. (Pew Research Center)
72% of Americans have heard of chatbots, and 28% of them say they’ve heard a lot. (Pew Research Center)
Text is the top content type created with gen AI (63%), followed by images (36%) and code (27%). (McKinsey)
Objection to brands using AI-generated models in ads fell from 49% to 46%. (Attest)
31% of consumers think AI improves customer experience, and 29% see it enhancing personalization. (Attest)
In the U.S., 38% believe AI will make advertising more creative. (Attest)
36% of men think AI will bring consumer savings and more innovation, compared with 28% of women. (Attest)
Women show greater objection to AI models in ads (52%) than men (41%), and older consumers (50–67) object more (50%) than younger ones (43%). (Attest)
Older consumers (50+) are most concerned about losing human interaction (63%) and live contact (64%), with just 27% believing AI enhances customer experience versus 33% of 31–49-year-olds and 34% of 18–30-year-olds. (Attest)
47% of consumers say they’re likely to use Gen AI tools such as ChatGPT and Copilot for shopping research. (Attest)
52% of men use AI for purchase decisions versus 43% of women. (Attest)
54% of consumers under 50 would use AI for product research, compared with 41% of those 50 and older. (Attest)
ChatGPT is the top Gen AI tool (52%), followed by Google Gemini (30%) and Microsoft Copilot (20%). (Attest)
69% of users aged 18–30 have tried ChatGPT. (Attest)
The main Gen AI use is answering questions or explaining complex topics (42%), followed by studying or learning (33%) and writing or drafting documents (31%). (Attest)
40% of Gen AI users find its search results more trustworthy, while only 17% trust them less than traditional search engine results. (Attest)
60% of Gen AI users expect to use it more in the next six months, while 5% anticipate using it less. (Attest)
56% of AI experts expect AI to positively impact the U.S. over the next 20 years, compared with only 17% of the public. (Pew Research Center)
22% of men believe AI will benefit the U.S., compared with 12% of women. (Pew Research Center)
72% of people worldwide accept the use of AI systems. (KPMG)
66% of people regularly use AI for personal, work, or study purposes. (KPMG)
60% of people believe they can use AI effectively. (KPMG)
48% of people say they have little knowledge of AI. (KPMG)
83% of students, mostly at the tertiary level, regularly use AI in their studies. (KPMG)
27–36% of students say AI use has hurt their critical thinking or collaboration skills. (KPMG)
77% of students say they can’t complete coursework without AI assistance. (KPMG)
81% of students admit they put in less effort on coursework because they can rely on AI. (KPMG)
Student AI use surged from 66% in 2024 to 92% in 2025. (HEPI)
Student use of generative AI tools like ChatGPT for assessments jumped from 53% in 2024 to 88% in 2025. (HEPI)
Students mainly use AI to save time (51%) and improve work quality (50%). (HEPI)
The top reasons students hesitate to use AI are fear of being accused of cheating (53%) and concern over inaccurate outputs (51%). (HEPI)
Jobs, Skills & Productivity
The World Economic Forum estimated AI would replace about 85 million jobs by 2025. (Nexford University)
77% of employees worldwide say their organizations use AI. (KPMG)
Since GenAI’s rise in 2022, productivity in AI-exposed industries like finance and software has jumped from 7% (2018–2022) to 27% (2018–2024), while less-exposed sectors such as mining and hospitality slipped from 10% to 9%. (PwC)
58% of employees say they regularly and intentionally use AI at work. (KPMG)
53% of employees say they trust AI tools for work. (KPMG)
45% of employees favor a human-AI split in management decisions, with humans holding 75% control and AI 25%. (KPMG)
57% of consumers worry about AI-driven job losses, down from 59% in 2024. (Attest)
75% of executives say AI will enable them to expand into new businesses and ventures. (Cisco)
84% of executives say AI will help them gain or maintain a competitive edge. (Cisco)
Organizations using AI apply it across an average of three business functions. (McKinsey)
53% of C-level executives use gen AI regularly at work, compared with 44% of mid-level managers. (McKinsey)
Workers with a high school education or less have the highest AI non-use rate at 73%, with only 7% using it occasionally. (NORC)
Only 42% of workers with a bachelor’s degree or higher don’t use AI at work, compared with 64% of those with some college and 73% with a high school diploma or less. (NORC)
Among employed Americans, 15% use AI daily, 11% weekly, 15% occasionally, and 58% never use it at work. (NORC)
Among employed workers, 74% of those 60+ don’t use AI at work, compared with 52% of those aged 30–44. (NORC)
Men are twice as likely as women to use AI daily at work (20% vs. 10%), and women lead in non-use at 66% compared with 52% of men. (NORC)
60% of workers worldwide expect AI to alter their jobs within five years, but only 36% think it will replace them. (Stanford HAI)
AI job postings in the U.S. rose from 1.4% to 1.8% of the labor market in 2024, while demand for generative AI skills nearly quadrupled. (Stanford HAI)
On average, developers complete tasks 26.08% faster with AI assistance. (Stanford HAI)
Firms deeply integrating AI had a 72% chance of major productivity gains, compared with 3.4% for those with little adoption. (Stanford HAI)
In 2024, AI-skilled workers earned a 56% wage premium, up from 25% the year before. (PwC)
In AI-exposed sectors like finance and software, productivity growth jumped from 7% (2018–2022) to 27% (2018–2024). (PwC)
Over 65% of employers in IT services and telecommunications expect AI and big data to be core skills for workers by 2025–2030, reflecting the sectors’ reliance on data and connectivity. (Statista)
By 2035, AI is expected to boost business productivity by as much as 40%. (Cisco)
95% of recruiters believe AI can significantly improve talent acquisition and retention. (Cisco)
73% of AI experts expect AI to positively affect work over the next 20 years, compared with just 23% of U.S. adults. (Pew Research Center)
64% of the public expects AI to cut jobs in the next 20 years, while only 39% of AI experts agree. (Pew Research Center)
Only 32% of employees think AI will create more jobs than it removes. (KPMG)
AI-exposed industries show three times higher revenue per employee growth than less-exposed sectors. (PwC)
Sectors & Regions
AI optimism varies widely: China (83%), Indonesia (80%), and Thailand (77%) show strong confidence, while the U.S. (39%), Canada (40%), and the Netherlands (36%) remain far less positive. (Stanford HAI)
In 2024, India led global AI hiring with a 33.39% year-over-year growth rate, followed by Brazil at 30.83%. (Stanford HAI)
India leads in AI adoption, with 91% of workers using it and 81% trusting it, compared with just 39% use and 33% trust in the Czech Republic. (Statista)
The U.S. ranked first in 2024’s global AI readiness index (87.03), leading in public-sector AI implementation, followed by Singapore, South Korea, and France. (Statista)
ChatGPT adoption is lower in the U.S. (45%) than in the U.K. (55%), Canada (56%), and Australia (58%), while the U.K. leads in Gemini (34%) and Copilot (26%) use. (Attest)
Trust in AI is lower in advanced economies (39%) than in emerging ones (57%). (KPMG)
Regular AI use is higher in emerging economies (80%) than in advanced ones (58%). (KPMG)
AI knowledge is higher in emerging economies (64%) than in advanced ones (46%). (KPMG)
Employee AI use is higher in emerging economies (72%) than in advanced ones (49%). (KPMG)
In 2024, organizational AI adoption jumped 27 points in Greater China and 23 in Europe, with North America leading at 82%. (Stanford HAI)
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