We’ve collated the latest AI statistics, so you don’t have to.

Check out AI’s impact on the economy, the workplace, employee productivity and marketing sectors, below.

AI development statistics

  • The global artificial intelligence market size was valued at USD 136.55 billion in 2022 (source: Grand View Research)
  • The global artificial intelligence market is projected to expand at a compound annual growth rate (CAGR) of 37.3% from 2023 to 2030 (source: Grand View Research)
  • The chance of unaided machines outperforming humans in every possible task was estimated at 10% by 2027 and 50% by 2047 (source: AI Impacts)
  • The aggregate forecasts give at least a 50% chance of AI systems achieving several milestones by 2028, including autonomously constructing a payment processing site from scratch, creating a song indistinguishable from a new song by a popular musician, and autonomously downloading and fine-tuning a large language model (source: AI Impacts)
  • The chance of all human occupations becoming fully automatable was forecast to reach 10% by 2037 and 50% as late as 2116 (source: AI Impacts)
  • 68.3% of respondents thought good outcomes from superhuman AI are more likely than bad, with 48% of these net optimists giving at least a 5% chance of extremely bad outcomes such as human extinction, and 59% of net pessimists giving 5% or more to extremely good outcomes (source: AI Impacts)
  • Between 37.8% and 51.4% of respondents gave at least a 10% chance to advanced AI leading to outcomes as bad as human extinction (source: AI Impacts)
  • More than half of the respondents suggested that “substantial” or “extreme” concern is warranted about six different AI-related scenarios, including the spread of false information, authoritarian population control, and worsened inequality (source: AI Impacts)
  • 37% of UK IT professionals at large organisations report active AI deployment, with an additional 41% exploring the technology (source: IBM)
  • 32% of UK enterprises actively implementing generative AI, with another 46% exploring it (source: IBM)
  • OpenAI’s ChatGPT Enterprise has been implemented at over 260 companies (source: VentureBeat)
  • Moderna has deployed ChatGPT enterprise products to all employees and is using OpenAI’s advanced data analysis tools, leading to an average reduction of 30 days in the drug approval process (source: VentureBeat)

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AI and economic impact statistics

  • AI could contribute up to $15.7 trillion to the global economy in 2030. Of this, $6.6 trillion is likely to come from increased productivity and $9.1 trillion is likely to come from consumption-side effects (source: PwC)
  • The majority of a Centre for Economic Policy Research (CEPR) panel (64%) believes that AI will increase global economic growth to 4–6% per annum over the upcoming decade, while the remainder (36%) thinks that AI will have no significant effect on global growth (source: CEPR)
  • Most Centre for Economic Policy Research (CEPR) panellists (63%) believe that AI will not affect employment rates in high-income countries over the upcoming decade, while the majority of the remainder (27%) think that developments in AI could increase unemployment in high-income countries (source: CEPR)
  • Only two a Centre for Economic Policy Research (CEPR) panellists believe that AI could decrease unemployment in high-income countries over the upcoming decade (source: CEPR)
  • The majority of Centre for Economic Policy Research (CEPR) panellists express a great degree of uncertainty regarding their predictions about the impact of AI on global economic growth and unemployment in high-income countries (source: CEPR)
  • Generative AI could potentially raise global GDP by 7%, or almost $7 trillion, and increase productivity growth by 1.5 percentage points over a decade (source: Goldman Sachs)
  • Goldman Sachs Research suggests that advances in AI could affect the equivalent of 300 million full-time jobs globally, with roughly two-thirds of U.S. occupations exposed to some degree of AI automation (source: Goldman Sachs)
  • McKinsey’s insights indicate that generative AI could potentially add $2.6 trillion to $4.4 trillion annually to the global economy, bolstering the impact of all artificial intelligence by 15 to 40 percent (source: McKinsey)
  • Generative AI use cases deliver the value across banking ($200 billion to $340 billion annually) and retail and consumer packaged goods ($400 billion to $660 billion annually) (source: McKinsey)
  • Accenture’s estimate suggests that 40% of working hours could be influenced by generative AI (source: HR review)

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AI and marketing statistics

  • Early adopters of Gen AI are three times as likely to have a formal, analytics-driven process to balance content supply and demand, a fully functioning project planning process, and a very high level of automation for content distribution (source: Deloitte Digital)
  • 56% of early adopters conduct A/B testing on Gen AI-produced content “most of the time,” and 62% of teams using Gen AI extensively consider themselves expert or highly skilled (source: Deloitte Digital)
  • Despite the early stage of adoption, 59% of early adopters are already seeing higher-quality content and tagging, with 56% reporting higher employee productivity and 51% observing a higher volume of content produced (source: Deloitte Digital).
  • Early adopters of Gen AI are capable of meeting content demands 1.5 times more often than companies with no Gen AI plans, saving the average content marketing employee 11.4 hours per week (source: Deloitte Digital)
  • Deloitte Digital’s research highlights that one in four companies are already using generative AI (Gen AI) in their marketing operations, demonstrating the pace at which AI is being adopted for creative endeavours (source: Deloitte Digital)
  • Gen AI is reported to be involved in the development of 46% of content by companies that have implemented it. However, these firms are primarily using AI to improve content rather than generate it entirely (source: Deloitte Digital)
  • More than 3 in 4 early adopters of gen AI in marketing remain concerned about potential brand risks such as intellectual property issues, cultural insensitivity, impersonal experiences, and reduced creative quality (source: Deloitte Digital)
  • In a BCG survey of over 200 CMOs, approximately 70% are actively using gen AI, while 19% are currently testing its capabilities (source: BCG)
  • A significant 67% of CMOs are focusing on personalisation through gen AI, 49% are using it for content creation, and 41% for market segmentation (source: BCG)
  • 93% of CMOs report a positive or very positive improvement in work organization, and 91% see a positive or very positive impact on work efficiency due to GenAI (source: BCG)
  • Gen AI is enhancing the entire customer life cycle, impacting every stage from awareness to advocacy (source: Insider Intelligence)
  • 66% of marketers using gen AI report a positive return on investment, with benefits including cost efficiencies, improved performance, and faster creative cycles (source: Insider Intelligence)
  • 24% of workers use generative AI for brainstorming (source: HRreview)

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AI and productivity statistics

  • Among employees who use AI at work, 72% say it makes them more productive (source: CNBC)
  • Workers from within the gen Z and millennial generations who have used AI in their jobs account for 37% and 35% respectively, compared to 25% of Gen Xers and 17% of baby boomers (source: CNBC)
  • AI software is used by 41% of Asian employees, 38% of Black, 36% of Hispanic workers, and 23% of white workers (source: CNBC)
  • Microsoft’s Work Trend Index report found that 77% of Copilot users don’t want to give it up, and 70% claimed it made them more productive with 68% saying it improved the quality of their work (source: CNBC)
  • Consultants using AI finished 12.2% more tasks on average (source: SSRN)
  • AI usage resulted in tasks being completed 25.1% more quickly (source: SSRN)
  • The quality of results produced by consultants using AI was 40% higher than those without (source: SSRN)
  • Consultants who scored the worst saw a performance jump of 43% when they used AI (source: SSRN)
  • Nearly 44% of CFOs believe that while AI will eventually save them money, it will cost more than it saves over the next 12 months (source: CNBC)
  • An estimated 40% of working hours are expected to be supported or augmented by language-based AI, indicating a significant transformation in the workforce (source: Accenture)
  • ChatGPT-4 is capable of generating 200 ideas in about 15 minutes when interacted with by a human, compared to a single human generating about five ideas in the same time frame (source: SSRN)
  • A professional working with GPT-4 can produce ideas at a rate of 800 ideas per hour, at a cost of around USD 0.63 each, or USD 7.50 per dozen (source: SSRN)
  • Using GPT-4, the cost for generating 800 ideas was about $20 at the time of the study, in contrast to a human working alone who could only generate 20 ideas at an approximate cost of $25 each (source: SSRN)
  • For the task of focused idea generation, a human employing GPT-4 is about 40 times more productive than a human working alone (source: SSRN)
  • Atento added OpenAI’s tech to its customer service function and as early as the pilot stage recorded a 20%+ increase in customer satisfaction in the first few weeks (source: Microsoft)
  • KPMG Australia added GPT-4 to its internal search tool and boosted search quality from 50% to 91%, with results delivered in under a second (source: Microsoft)
  • Access to AI tools increases customer support agent productivity by 14% on average (source: NBER)
  • Novice and low-skilled workers experienced a 34% improvement in productivity when using AI tools, with minimal impact on experienced and highly skilled workers (source: NBER)
  • 55% of respondents believe current output from generative AI matches the quality of experienced or expert human workers (Source: PR Newswire)
  • 63% of workers report that generative AI tools have positively impacted their productivity (Source: PR Newswire)
  • 7% report a significant increase in productivity (Source: PR Newswire)
  • 33% of employees expect AI to replace elements of their job in a positive way—e.g., by freeing up time for more valuable or creative tasks (Source: PR Newswire)
  • 45% say the quality of AI output is equal to an experienced worker (Source: PR Newswire)
  • 31% say the quality is equal to a novice worker (Source: PR Newswire)
  • 10% say the quality is equal to an expert worker (Source: PR Newswire)
  • 67% of workers who use generative AI tools report increased job satisfaction (source: HRreview)
  • 92% of workers find generative AI tools to be useful (source: HRreview)
  • 26% of workers experience heightened productivity and reclaimed time due to generative AI tools (source: HRreview)
  • 27% of respondents would prefer to spend the time saved by generative AI to enhance their work-life balance (source: HRreview)
  • Amdocs produces software to help telecoms companies manage their billing and customer services. The use of generative AI, the company says, has reduced the handling time of customers’ calls by almost 50% (source: The Economist)
  • Nasdaq a financial-services firm, helps financial-crime sleuths gather evidence to assess suspicious bank transactions. They observed a decrease in the time required to assess suspicious bank transactions from 30-60 minutes to 3 minutes with the aid of generative AI (source: The Economist)
  • Bank of New York Mellon uses an AI system that produces draft reports overnight. “So rather than getting up at four in the morning to write research, they get up at six,” the bank says (source: The Economist)
  • L’Oréal experienced productivity increases of up to 10-15% for some of their brands that deployed generative AI (source: The Economist)

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AI and the workplace statistics

  • In 2024, more than half (55%) of top technology officers plan to purchase enterprise-level generative AI software, such as Microsoft Copilot, in the next six months (source: CNBC)
  • More than half (59%) of the tech officers surveyed report an acceleration in their company’s new investments in artificial intelligence capabilities (source: CNBC)
  • A recent Gartner survey found that 82% of IT buyers said Microsoft 365 Copilot was in their top three of the “most valuable” new features (source: CNBC)
  • All surveyed early adopters report a positive ROI on their gen AI investments, averaging a 12% return (source: Deloitte Digital)
  • South Cambridgeshire District Council has been testing a shorter working week (achieved because of AI efficiencies) since January 2023 – staff welfare surveys suggest employees were enjoying better mental health thanks to the four-day working week (source: BBC)
  • A staggering 98% of business leaders believe that AI foundation models are critical to their organisational strategies for the next three to five years (source: Accenture)
  • BlackBerry found that 75% of organisations are considering or implementing bans on generative AI applications like ChatGPT in the workplace (source: Blackberry)
  • The McKinsey Global Institute predicts that around 70% of companies will adopt at least one type of AI technology by 2030 (source: CEPR)
  • PwC is deploying ChatPwC to 75,000 workers by the end of 2023 (source: CNBC)
  • Deloitte is rolling out a generative artificial intelligence chatbot to 75,000 employees across Europe and the Middle East to create PowerPoint presentations and write emails and code in an attempt to boost productivity (source: Financial Times)
  • Nearly half of the tech executives surveyed by CNBC indicate that up to 25% of their employees are already using generative AI in their work (source:  CNBC)
  • A recent report from ResumeBuilder indicates that 37% of business leaders acknowledged that AI replaced workers in 2023. They also predict 44% claim there will be layoffs in 2024 resulting from AI efficiency (source:  CNBC)
  • Asana’s research found that employees perceive 29% of their work tasks as replaceable by AI (source: CNBC)
  • In 2024, Gartner predicts that enterprises will spend $114.8 billion on security and $21.8 billion on generative AI (source: CNBC)
  • 44% of business leaders report that there will be layoffs in 2024 resulting from AI efficiency (source: CNBC)
  • 42% of employees are concerned about the impact of AI technology on their jobs (source: CNBC)
  • Workers earning under $50,000 a year are 47% concerned about AI’s impact, whereas those making between $50,000 and $99,000 show a 39% concern, and it’s 36% concern for those earning $100,000 or more (source:  CNBC)
  • 60% of those using AI regularly are worried about its impact on their job, versus 35% of those who don’t use AI at work (source: CNBC)
  • AI assistance increased agent productivity by 14% at a call centre, with the most significant impact on less experienced workers (source: Standford University, HAI)
  • 85% of businesses reported they were not currently using AI, and 83% are not planning to adopt AI within the next three months (source: ONS)
  • In the UK, 60.2% of working people use AI tools at least once a month, of that 28.3% use it at least once every few days.(source: Definition)
  • ChatGPT Enterprise is used by more than 150,000 employee users (source: VentureBeat)
  • 42% of UK workers surveyed use generative AI tools at least once a week (source: HRreview)
  • 10% of workers rely on generative AI tools daily (source: HRreview)
  • 63% of Generation Z workers use generative AI at least once a week, compared to 22% of those aged 55 and over (source: HRreview)
  • There is a disparity in workplace training on generative AI, with 58% of 18-24-year-olds having received training, versus only 17% of those over 55 (source: HRreview)
  • 56% of US workers use generative AI tools for work-related tasks at least occasionally (Source: PR Newswire)
  • 26% of respondents report that their organisation has a policy related to the use of generative AI (Source: PR Newswire)
  • 23% indicate that a generative AI policy is under development within their company (Source: PR Newswire)
  • 71% of workers who use generative AI claim their management is aware of their AI tool usage (Source: PR Newswire)
  • 46% indicate that their management is fully aware of their generative AI usage (Source: PR Newswire)
  • 44% of workers have never used generative AI (Source: PR Newswire)
  • 34% of workers say their organisation does not have any AI policy (Source: PR Newswire)
  • Even among organisations that lack an AI policy, 40% of employees still report their managers are fully aware that they’re using AI tools at work (Source: PR Newswire)
  • Laura Gilbert, chief analyst and data science director at Downing Street, said the UK government had found a lot of “low-hanging fruit” where AI could drive significant efficiencies. While there was a general target for a 3.55 times return on investment on AI, she said “some of the early tools are more like a 200 times return on the investment” (source: FT)

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Written by Luke Budka, AI director at Definition