We gathered 149 of the top AI statistics for a data-driven glimpse into AI and its future.
Our own verified statistics from our recent AI survey and reliable third-party sources provided the foundation for this list. It covers everything from AI adoption and usage to its perceived dangers in 2023 and beyond.
Top AI Statistics (Editor’s Pick)
This hand-picked shortlist of the most compelling AI statistics include key metrics on adoption, personal & business usage, impact on jobs and sentiment towards AI.
- 35% of businesses have adopted AI.
- 77% of devices in use feature some form of AI.
- 9 out of 10 organizations support AI for a competitive advantage.
- AI will contribute $15.7 trillion to the global economy by 2030.
- By 2025, AI might eliminate 85 million jobs but create 97 million new ones, resulting in a net gain of 12 million jobs.
- 85.1% of AI users use the technology for article writing and content creation.
- 81.6% of digital marketers think content writers’ jobs are at risk because of AI.
- 50% of consumers are now optimistic about AI.
- 33% of consumers think they are using AI platforms (actual usage is 77%).
- 43% of businesses are concerned about technology dependence.
AI Adoption and Implementation Across Industries
AI has been around for a while, but it ChatGPT’s public launch in November 2022 propelled its adoption among the general public. ChatGPT set the record for the fastest app growth to 100 million users.
According to IBM, 35% of businesses have already embraced AI. It is clear from the statistics below that most leaders are excited about AI’s potential for enhancing capabilities and lowering costs. Netflix has already saved a reported $1 billion by utilizing machine learning, and AI can boost business performance by as much as 40%.
It’s clear from the following 39 AI adoption statistics that companies are bullish on AI.
- 35% of businesses now use AI.
- Nine out of ten leading businesses invest in AI technologies, but only 14.6% have deployed AI capabilities in their operations.
- 52% of telephone companies now use AI chatbots.
- 72% of companies that use AI believe it simplifies their jobs.
- 59% of executives are convinced that AI applications will enhance big data in their companies.
- 9 out of 10 organizations support AI for gaining a competitive edge over rivals.
- 54.9% of people suspect they’ve received undisclosed AI content from a service provider.
- 80% of retail executives plan to adopt AI automation by 2025.
- In 2022, large companies were twice as likely as small ones to use AI.
- In 2022, 53% of global IT companies reported accelerated AI adoption over the previous two years.
- 77% of currently used devices feature some form of AI.
- 25% of travel and hospitality companies use chatbot technology.
- 64% of business owners believe AI will boost productivity.
- Machine learning at Netflix saves $1 billion.
- About 4 out of 10 organizations plan to implement AI.
- Approximately 4 out of 5 companies consider AI a top priority in their business strategy.
- AI technology is expected to increase banking industry revenue by $1 billion within the next three years.
- 72% of executives think AI will become the most significant business advantage in the future.
- 75% of top executives believe AI will help their organization grow.
- 47% of companies have integrated AI into at least one business function.
- 63% of organizations intend to adopt AI globally within the next three years.
- 68% of healthcare organizations employ AI.
- 63% of IT and telecom sector organizations utilize AI.
- 44% of automotive organizations implement AI.
- AI technology increases business productivity by 40%.
- Businesses with over 100,000 employees are more likely to have a strategy implementing AI.
- Machine learning has grown by 48% in the automotive sector.
- The retail industry leads in AI implementation, with 72% of retailers using AI.
- 47% of organizations have a defined mobile AI strategy.
- 84% of global business organizations believe AI will give them a competitive advantage.
- 85% of business-customer relationships will be managed without human interaction.
- 97% of business owners think ChatGPT will benefit their business.
- 35% of businesses worry about the technical skills needed for AI use.
- The primary goal for incorporating AI is optimizing internal business operations, according to 36% of executives.
- 20% of C-suite executives use machine learning.
- Oxford University’s AI system can read lips with 93% accuracy using machine learning.
- Google processes 6.9 billion daily search queries using global AI technologies.
- WhatsApp generates over 100 billion AI-processed messages each day.
- By 2035, 75% of vehicles will be equipped with AI technology.
Sources: Authority Hacker, IBM, NewVantage Partners, Gartner, PwC, MIT Sloan Management, Statista, Forbes, Accenture, McKinsey, Tractica, Harvard Business Review, Flexis, Google
Impact of AI on Jobs and Employment
Data from our own AI survey was clear: AI does pose a risk to some jobs. Content writers and creators jobs are among the most at risk today, with many already reporting significant drops in orders as companies try cheaper AI alternatives.
Many more IT and customer service-based jobs could be at risk in the future, though there is also reason to be optimistic about new jobs being created too.
- 32.9% of businesses have already replaced some human tasks with AI solutions.
- 81.6% of digital marketers think content writers’ jobs are at risk because of AI.
- AI is predicted to boost local GDPs, with China experiencing the largest gain of 26% by 2030.
- AI will add 15.7 trillion dollars to the world’s GDP by 2030, boosting it by 14%.
- By 2025, AI will eliminate 85 million jobs but create 97 million new ones, resulting in a net gain of 12 million jobs.
- 10% of nursing tasks could be automated by 2030.
- By 2030, intelligent robots may replace 30% of the global workforce.
- 375 million people may need to change careers by 2030.
- A high risk of automation affects 38% of US jobs, 35% in Germany, 30% in the UK, and 21% in Japan.
- Cognitive technologies, such as AI and ML, will replace 16% of US jobs by 2025.
- AI and other technological changes could displace 75 million jobs by 2025.
- 20 million manufacturing jobs could be lost to automation by 2030.
- Nearly 30% of UK jobs could be replaced by AI in the early 2030s.
- 52% of experts believe automation will displace jobs but also create new ones.
- 43% of businesses plan to reduce their workforce due to technological integration.
- In the UK, AI could displace retail and wholesale trade workers, manual laborers in manufacturing and construction, and administrative and secretarial workers.
Sources: Authority Hacker, PwC Global, World Economic Forum, EIT Health, McKinsey&Company, Forrester Research, Blumberg Capital, Pew Research Center
AI Impact on Marketing, Customer Service, and Sales
Marketers are among the fastest AI adopters to date. The vast majority are confident in their ability to learn to utilize the tech. Customer Service and sales are two other areas where significant efficiencies can be gained with AI.
- 75.7% of digital marketers now use AI tools for work.
- 49.5% of marketers use AI tools multiple times per week or more.
- 67.7% of marketers say that lack of knowledge and time are the two biggest reasons against using AI tools.
- 69% of digital marketers actively use ChatGPT.
- 85.1% of AI users use it for blog content creation.
- 65.8% of people find AI content equal to or better than human writing.
- A mere 14.03% of users trust keyword data from AI tools.
- Only 32.5% of users trust AI-generated search results.
- 98.1% of digital marketers acknowledge that some understanding of AI is important for their jobs.
- 90% of marketers are confident in learning and adapting to new AI tools and technology.
- Over 50% of marketers have some concerns about AI replacing them in their own jobs.
- 60% of marketers feel positive about the rise of the AI industry.
- Less than 20% of marketers think AI tools will have a negative impact on content quality.
- Only 30.1% of marketers think AI will negatively impact search traffic in 5 years.
- 72.6% of people are concerned about AI content becoming indistinguishable from human-written content.
- 37.4% of digital marketers are using AI detection tools.
- 59.5% of marketers oppose mandatory AI content disclosures.
- 26% of B2B marketers using chatbots saw a 10-20% increase in lead generation volumes.
- In an October 2022 US survey, 57% of B2B marketers used chatbots to understand their audience better.
- The chatbot market is forecast to reach around 1.25 billion US dollars in 2025, a significant increase from the market size in 2016, which stood at 190.8 million US dollars.
- 43% of American marketers found that chatbots helped educate prospects.
- 59% of marketers believe AI will revolutionize the marketing industry.
- 70% of consumers expect a chatbot response within 5 minutes.
- 74% of consumers demand instant answers to their questions.
- 67% of people expect to use messaging apps to communicate with businesses.
- 75% of consumers are comfortable with chatbots handling routine customer service tasks, while only 33% approve of chatbots managing complex inquiries.
- 38% of consumers globally prefer to use chatbots.
- 80% of consumers prefer using chatbots for simple tasks like checking account balances or booking appointments.
- Over 60% of business owners (64%) think AI will improve customer relationships.
- AI tech can increase revenue by over $15 trillion in the next decade.
Sources: Authority Hacker, Accenture, Gartner, Forbes
AI Market Size and Growth
Mass consumer adoption of AI, largely driven by ChatGPT, has skyrocketed the outlook around AI growth. Companies are investing more into AI solutions across industries such as healthcare, security and education.
- AI is expected to contribute $15.7 trillion to the global economy by 2030.
- The autonomous vehicle industry could be worth $667.7 billion by 2026.
- The global AI market is predicted to hit $1.81 trillion by 2030.
- The AI software market’s global annual revenue currently exceeds $50 billion.
- The wearable AI market is projected to reach $180 billion by 2025.
- Worldwide AI chip revenue will surpass $80 billion in the next five years.
- The US AI market size is estimated to reach nearly $300 billion by 2026.
- AI-powered self-driving vehicles generate over $170 billion in annual revenue worldwide.
- AI telecommunications is valued at $2.5 billion and rising.
- By 2024, the global AI market will grow to over half a trillion US dollars.
- The number of AI startups has increased 14 times since 2000.
- AI in the healthcare market grew by 41.2% from 2018 to 2023.
- AI in the security market is expected to reach $19.5 billion by 2023, with a CAGR of 40.6% from 2018.
- AI in the education market is projected to reach $2.0 billion by 2023, with a CAGR of 42.9% from 2018.
- The global AI market is currently worth $136.6 billion.
- Global AI is growing at a CAGR of nearly 40%.
- AI service revenue will increase by over 6x in five years.
- The AI market is set to grow by 38% in 2023.
- AI in the transportation market is expected to reach $6.8 billion by 2023, with a CAGR of 21.5% from 2018.
- AI in the manufacturing market is projected to reach $7.2 billion by 2023, with a CAGR of 42.2% from 2018.
- AI in the energy and utilities market is predicted to reach $1.5 billion by 2023, with a CAGR of 38.3% from 2018.
Sources: PwC Global, GrandViewResearch, Omdia, Global Market Insights, The Insight Partners, Markets and Markets, Statista, Forbes, Tractica
Consumer Perspectives on AI
While the rapid adoption of AI speaks volumes about how people feel, it’s not without its faults. AI sounds very convincing, even when it makes up facts. This can pose serious issues in a world where polarization, fake news, and biases dominate the political landscape.
- AI-generated content concerns 63% of individuals due to potential bias or inaccuracies.
- AI is viewed optimistically by 50% of consumers.
- A majority, two-thirds of modern consumers, are open to AI enhancing customer engagement.
- Private information protection by AI is doubted by 52% of consumers.
- Half of the consumers perceive job loss to computers as a current reality.
- Four out of every ten consumers believe AI usage will make companies more cautious with customer data.
- A mere 7% of individuals trust chatbots for claim-making.
- The AI market’s limited transparency worries approximately 75% of CEOs.
- Around 41% of consumers from India, China, Western Europe, and the US see AI as a life-improving tool.
- Chatbots have a positive image among 38% of consumers.
- Significant attention towards generative and conversational AI (especially ChatGPT) was observed from 48% of the public in 2023.
- Understanding AI is claimed by fewer than half of consumers.
- Nearly half (49%) of consumers question the safety of automation in healthcare.
- For 28% of people, the value of human touch in tasks is irreplaceable.
- AI is believed to enhance their lives by 41% of consumers.
- AI platform usage is believed to be at 33% by consumers, whereas the actual usage is 77%.
- Dependency on technology is a concern for 43% of businesses.
- A survey revealed that 57% of consumers prefer chatbots, leaving 43% preferring human interaction.
- AI’s impact on website traffic worries nearly a quarter (24%) of business owners.
Sources: Authority Hacker, Blumberg Capital, Salesforce, PwC, LivePerson, Forbes, Accenture
AI Voice Assistant and Smart Speaker Statistics
Voice assistants like Amazon’s Alexa, Google Assistant, and Apple’s Siri have shown remarkable improvements in their capabilities and accuracy. And the adoption rate of these AI-powered assistants worldwide is truly unprecedented. AI’s ability to understand and process natural language makes it perfect for voice interaction.
- Siri from Apple ranks last in commerce-related accuracy, only giving correct answers 68% of the time.
- In 2021, Amazon’s Alexa had roughly 80,000 skills within the US and over 100,000 globally.
- Google has a 17% share of the global smart speaker market.
- Google Assistant ranks first in accuracy among voice assistants.
- Over half of all Americans use voice assistants to gather information.
- By 2024, there will be 8.4 billion digital voice assistants in use globally, outnumbering the world population.
- The most popular voice search tasks include checking the weather (42%), setting alarms (36%), and playing music (34%).
- While multitasking, 60% of people use voice search.
- Over 70% of voice search users find local business information through it.
- Purchases are made using voice-activated devices by 40% of owners.
- Nearly half of Americans (46%) use voice-controlled virtual assistants.
- Google Assistant is considered the “smartest” voice assistant, with an impressive 98% accuracy rate.
- Amazon’s Alexa is present in more than 60,000 devices globally.
- A large majority of both Android (96%) and iPhone (98%) users use AI voice assistants.
- Daily, 55% of consumers use voice search to find local business information.
- Companies offering a voice-activated assistant are preferred by 62% of voice search users.
- About 40% of US internet users make use of voice search on a daily basis.
- 66% of voice search users make weekly purchases through their devices.
- Voice search is used daily by 41% of adults and 55% of teens.
- 20% of mobile searches are voice-based.
- Voice-activated device owners use their devices daily (70%) and multiple times a day (40%).
- 60% of consumers prefer using voice search over typing on a mobile device.
- A whopping 97% of mobile users utilize AI-powered voice assistants.
- As of the end of 2020, 30% of web browsing and searches were conducted without a screen.
Sources: Statista, Edison Research, Pew Research Center, Gartner
Current data suggests that AI adoption will keep soaring in the coming years.
There are numerous significant issues to overcome, such as the impact on jobs, technology dependence, and security. But given the scale of AI adoption, these problems can and will be solved.
What percent of the population uses AI?
Determining the exact percent of the global population using AI is challenging as there is no verifiable data available at the moment. However, based on the Global AI Adoption Index study conducted by IBM, it’s evident that about 35% of businesses have incorporated AI into their operations.
What is the most advanced AI technology right now?
Several cutting-edge AI technologies currently stand out, such as natural language processing (NLP), machine learning (ML), deep learning (DL), and computer vision. Notably, the recent emergence of Generative Pre-trained Transformer (GPT) models, known for their capabilities in NLP, represents a significant advancement in the realm of AI.
Which industry uses AI the most?
The sector that extensively deploys AI the most is the supply chain and manufacturing industry. Based on data from Statista, the rate of AI adoption within global supply chain enterprises is projected to reach 55% by the year 2025.
What are the different types of AI?
AI comes in various forms, and as per an article by Forbes, there are four distinct categories of AI or AI-based systems. These include reactive machines, machines with limited memory, AI with a ‘theory of mind’, and self-aware AI systems.
What is the future of AI?
The recent advancement in AI is expected to pave the way for more sophisticated, efficient, and helpful AI applications, potentially revolutionizing patient care, human-computer interaction, technological infrastructure, and financial transactions. Overall, the future of AI looks promising.
What is the difference between AI, machine learning, and deep learning?
AI, machine learning, and deep learning represent a nested hierarchy of progressively specialized fields.
AI is the broadest concept, encompassing any machine or software that mimics human intelligence.
Machine learning is a subset of AI, involving systems that improve performance through exposure to data without explicit programming.
Deep learning is a further subset of machine learning, focusing on complex neural networks capable of processing vast amounts of data, often exceeding the capabilities of traditional machine learning models.