65+ AI Statistics

It may not have reached every corner of your life just yet, but for the most part,  AI is everywhere. As you’ll see in our list of AI statistics below, consumers are using it (though they’re not always thrilled about it), businesses are adopting it (it’s not just marketers), and even governments are stepping in to help regulate it (it’s about time!).

Here, we’ve pulled together a list of some of the top AI statistics to know in 2025, and arranged them into the following categories:

• Consumer Use of and Attitudes toward AI
• Business Adoption of AI
• AI’s Impact on the Workforce and Jobs
• AI Safety, Reliability, and Content Integrity
• AI Investment, Policy, and Governance

Let’s get into it.

Key Findings

Finding 1: 45% of adults have used an AI tool or chatbot, averaging findings across four 2024–2025 surveys

Averaging the results of four independent studies, each representing a different country (the U.S., U.K., Canada, and Australia, respectively), every 1 in 2 adults has now used an AI tool or chatbot. American companies may dominate the generative AI industry, but they’re also quite popular in other countries, too.

So, if you’re hoping to rank in AI search, tailor your content accordingly.

Here’s a breakdown of the stats:

• In June 2025, Pew Research Center reported that 34% of US adults have used ChatGPT, a number that’s nearly doubled since July 2023
• In its May 2025 report, Ofcom found that 31% of UK adults had tried an AI tool like ChatGPT or Gemini in 2024, compared to only 23% in 2023
• An April 2025 study by Toronto Metropolitan University’s Social Media Lab learned that 66% of Canadians have experimented with generative AI tools such as Gemini, Copilot, ChatGPT, and Claude for either work, fun, or studying
• In January 2025, a joint survey from Google and Ipsos found that 49% of Australians used generative AI in the last year, a significant increase from the 38% reported in 2023

Finding 2: 76% of marketers use (or plan to use) AI for content tasks, averaging findings across 4 studies

Generative AI is taking over the marketing world. Roughly 3 out of 4 marketers are currently using or plan to use AI for content creation tasks, when you average the results of four independent studies.

The takeaway here is clear: if you have yet to jump on the AI bandwagon, you’re already behind.

Here’s a breakdown of the stats:

• In their 2024 report, Semrush learned that 67% of small businesses use AI for content marketing and/or SEO
• HubSpot’s 2025 write-up on AI trends in marketing noted that 66% of marketers worldwide use AI for work
• CoSchedule reported that 85% of marketers use AI writing and content creation tools in their 2025 AI marketing report
• The Interactive Advertising Bureau found that 86% of advertisers are using or planning to use generative AI for video ad creative in their 2025 report on digital video ad spend and strategy

Finding 3: 59% of workers report using AI at work, averaging findings across 4 workforce surveys

It’s not just marketers who are using it. Almost 6 in 10 workers now use AI at their jobs, a figure reflecting the average results of four independent studies.

Of course, it depends on the job (the range of stats here is from 22% to 81%), but AI is having some impact across industries. You just can’t treat it as an isolated, niche marketing tool anymore — it’s changing the way a lot of industries do business.

Here’s a breakdown of the stats:

• Microsoft and LinkedIn’s Work Trend Index report in May 2024 reported that 75% of global knowledge workers say they use generative AI at work
• In their May 2025 report on adult media use, Ofcom found that 22% of U.K. adults used AI as part of their job
• Stack Overflow’s 2025 Developer Survey learned that about 81% of developers use AI tools daily, weekly, or monthly/infrequently in the development process
• In 2025, The University of Melbourne and KPMG’s global survey on trust, attitudes, and use of AI found that 58% of employees intentionally use AI tools regularly in their work

Now, onto the rest of the stats!

Since we have quite a long list to work with here, we’ve provided an overview of the following AI statistics and their sources in the AirTable below:

Consumer Use of and Attitudes Toward AI

AI is quickly becoming part of people’s everyday routines, but that doesn’t mean they trust it completely. For marketers and publishers, this means clear sourcing, labeling, and human oversight have become key to making your content stand out as credible. 

These stats show where people are embracing AI, where doubts remain, and why clear disclosure and sourcing help content feel reliable.

1. 34% of US adults have used ChatGPT — a number that jumps to 58% among under-30s

Source: Pew Research Center article, June 2025

Why it matters: When nearly 1 in 3 US adults admit to using ChatGPT, that’s mainstream familiarity. This means that readers are getting better and better at identifying AI-generated text and images, so clear sourcing and simple disclosures help your content feel trustworthy instead of gimmicky.

2. 7% of people globally use AI chatbots to access news weekly; this increases to about 15% among under‑25s

Source: Reuters Institute report, 2025  

Why it matters: Habits are changing fastest for younger audiences. Plan for visibility inside AI answer experiences, not only on web pages.

3. About 51% of U.S. adults are more concerned than excited about the increasing use of AI in daily life

Source: Pew Research Center report, April 2025  

Why it matters: If readers are uneasy about AI, they may be more likely to bounce when content looks automated. Showing who wrote it, where the data comes from, and how it was checked gives them a reason to stay.

4. 53% of people across 30 countries say they feel “concerned” about AI — yet 52% of people also say they’re excited for AI-related products and services

Source: Ipsos AI Monitor report, 2025  

Why it matters: That mixture of nervousness and excitement means audiences are curious but cautious. For publishers and marketers, that is an opening to frame AI content as helpful rather than risky. Show the upside clearly, and you guide readers toward engagement instead of hesitation.

5. 27% of people who use AI tools weekly think AI will have a negative impact on society

Source: YouGov report, July 2025  

Why it matters: Even frequent AI users aren’t all convinced it’s a net positive. If almost a third of regular users still expect it, it shows that familiarity doesn’t erase skepticism. Content that explains how AI fits in the process helps ease that tension.

6. ChatGPT processes about 2.5 billion prompts per day, with over 330 million occurring in the US alone

Source: Axios article, July 2025  

Why it matters: Billions of daily prompts make AI use impossible to ignore. At that scale, even small shifts in behavior or policy can ripple out fast, affecting costs, search traffic, and how people encounter information online.

7. 52% of AI‑aware UK adults are more likely to trust a human‑written article over an AI-generated one

Source: Ofcom report, May 2025  

Why it matters: Adoption isn’t only about companies using AI — it’s about whether audiences accept it. If half of UK adults still put more trust in human writing, firms that roll out AI content without transparency risk losing the very people they’re trying to reach.

8. Around 66% of people use AI regularly, but only 46% say they trust it. 

Source: KPMG and University of Melbourne study, April 2025

Why it matters: Using AI doesn’t always mean trusting it. If half of regular users still have doubts, your content needs clear sourcing and credibility signals to earn confidence.

9. Trust in AI is much higher in emerging economies (57%) than in advanced economies (39%) 

Source: KPMG and University of Melbourne study, April 2025

Why it matters: Trust can vary by region. If you’re speaking to audiences in emerging markets, leaning into AI might boost confidence. In advanced economies, though, you’ll need extra transparency to overcome skepticism to shift based on local sentiment.

10. About half of Americans say AI will have a negative impact on news and journalism in the next 20 years 

Source: Pew Research Center article, April 2025
Why it matters: If half the country already thinks AI will hurt journalism, that’s a signal not to treat it as neutral. Publishers need to show the guardrails they’re using so readers know AI isn’t going to dilute their trust in the news.

11. Only 48% of U.S. adults report trusting AI-generated information, compared to 62% for journalist-produced news 

Source: Rutgers University NAIOM report, February 2025
Why it matters: Trust matters more than ever. That gap shows audiences are watching for signals of credibility, so labeling AI’s role and backing claims with sources is critical.

12. 54% of Americans don’t trust AI to make unbiased decisions, and 42% don’t even trust it to provide accurate information 

Source: YouGov survey, March 2025
Why it matters: If most people doubt AI’s fairness and accuracy, you can’t rely on it alone. Adding human review is what keeps content balanced and believable.

13. Overall, about 58% consider AI trustworthy, though trustworthiness varies by country

Source: KPMG and University of Melbourne study, April 2025
Why it matters: Attitudes toward AI can vary across countries, for instance, in Egypt 83% felt that AI was trustworthy while in Finland, only about a third of respondents felt AI was secure. If you’re publishing globally, it’s a reminder that audiences won’t all approach AI with the same level of confidence.

14. US men are more likely to think that AI will have a positive impact on the country than women (22% vs 12% respectively)  

Source: Pew Research Center report, April 2025                                                         Why it matters: Attitudes toward AI aren’t the same, even within the same country. This is why it’s important to test how different groups respond to AI in your messaging before assuming everyone sees it the same way.

15. 72% of people in China say they trust AI, compared to just 32% in the US

Source: Edelman report, 2025
Why it matters: Trust in AI can look completely different depending on where you are. A message that works in China might not work in the US, so global strategies need to account for local attitudes.

16. Even when readers don’t fully understand AI’s role, knowing it was involved makes them trust the news less 

Source: University of Kansas study, December 2024

Why it matters: Just knowing AI was used can make people doubt the content, even if they don’t understand the details. That makes clear disclosure essential if you want to hold onto trust.

Business Adoption of AI

We’re now at the point where more companies are moving past pilot projects and building AI directly into how they work. As adoption spreads (and if trust is still shaky), clients and regulators will likely expect clearer proof of where AI fits into the process, so businesses that document and communicate it well may just have the advantage.

These stats highlight how fast adoption is spreading, what expectations it sets for speed and quality, and why credibility in how AI is used matters as much as adoption itself.

17. 41% of large EU enterprises used AI in 2024 

Source: Eurostat article, January 2024

Why it matters: AI use is already playing a major role in how big companies operate, which means they’re shaping the expectations around speed, cost, and output quality. Smaller players who ignore that shift risk looking slower and less competitive by default.

18. 12.2% of Canadian businesses used AI to produce goods or services in the last year, up from 6.1% a year earlier

Source: Statistics Canada analysis, June 2025  

Why it matters: If AI use among Canadian businesses keeps doubling, the baseline for products and services shifts. Readers, clients, and customers will expect AI-level speed and efficiency, so failing to show it in your process makes you look outdated.

19. 72% of organizations used generative AI in at least one business function in the past year

Source: McKinsey & Company report, May 2024  

Why it matters: When most companies already have AI in the mix, the real question shifts from “are you using it” to “how well are you using it.” Falling behind on quality or creativity is what will stand out.

20. 91% of US and Canadian middle‑market firms say they use generative AI

Source: RSM report, June 2025  

Why it matters: When nearly every mid-market firm reports using generative AI, it shows adoption isn’t limited to deep-pocketed enterprises. The tools are practical and affordable enough for the middle tier, which means the excuses for holding off are running out.

21. About 13.9% of enterprises in OECD countries implemented AI in 2024

Source: OECD report, June 2025  

Why it matters: The Organisation for Economic Co-operation and Development (OECD) covers 38 countries, so its numbers set a trusted benchmark. With adoption still fairly low overall, the takeaway isn’t just who’s ahead but how much room there is for growth, giving publishers and businesses a way to gauge whether they’re moving faster, keeping pace, or falling behind the broader market.

22. 5.4% of US firms reported using AI to produce goods and services in February 2024 — an increase from 3.7% in September 2023

Source: National Bureau of Economic Research paper, April 2024  

Why it matters: Based on data from the US Census Bureau’s Business Trends and Outlooks survey, this number shows AI adoption is growing among businesses, but still runs lower than most private surveys. Use it as the baseline when you’re comparing adoption across industries or company sizes.

23. 78% of organizations globally used AI in 2024, up from 55% in 2023

Source: Stanford HAI report, 2025

Why it matters: An almost 25% jump in a single year shows how quickly AI has gone mainstream. For anyone still waiting on the sidelines, the comparison point isn’t last year’s early adopters anymore, but the majority of the market.

24. Buyers expect generative AI to produce 40% of ads by 2026, with smaller and mid-sized brands leading the way  

Source: IAB report, July 2025
Why it matters: AI creative cuts costs and levels the playing field for smaller brands. They don’t have the same budgets as the top advertisers, so adopting GenAI early is a way to stretch dollars and keep up — the big guys better watch out.

25. 99% of organizations say AI capabilities will play a key role in cybersecurity purchases  

Source: Arctic Wolf report, 2025
Why it matters: AI is now a security expectation. If your systems aren’t AI-enabled, vendors and clients will notice.

26. About 40% of service firms and 26% of manufacturing firms used AI in the past year, up from 25% and 16% respectively

Source: Federal Reserve Bank of New York via Liberty Street Economics article, September 2025
Why it matters: AI adoption is spreading across sectors, showing that the shift isn’t limited to digital-first industries.

27. Only 2% of companies have fully scaled AI agent deployments  

Source: Capgemini report, July 2025
Why it matters: Despite the hype, scaled AI agents are rare. You could look at that gap as both a warning (it’s not ready) and an opportunity (get an edge on the competition).

28. 93% of Indian business leaders say they plan to deploy AI agents in the next 12–18 months

Source: Microsoft report, August 2025
Why it matters: With nearly all Indian business leaders planning AI agent rollouts, the market is shifting fast. If you’re competing globally, you need to match that pace or risk falling behind in efficiency and innovation.

29. 62% of marketers claim that a lack of training and education is what’s holding them back from AI adoption, but only 49% of employers agree

Source: Marketing AI Institute and SmarterX report, 2025
Why it matters: When employees see training as the biggest blocker, but leadership doesn’t, adoption stalls. Closing that gap is the difference between AI that adds value and AI that creates brand risk.

30. 54% of businesses using AI saw small gains (1%+), while 14% reported double-digit improvements (11%+)

Source: Omdia survey, June 2023
Why it matters: Most companies see at least modest returns from AI, but a smaller group is pulling far ahead. The difference could come from tracking what works and scaling it, instead of just using AI everywhere without a plan.

31. In Germany’s industrial companies, AI adoption rose from 6% in 2020 to 13.3% in 2023, with major growth projected through 2030

Source: arXiv.org paper, May 2024
Why it matters: It’s not just happening in content marketing. Manufacturing may be slower to adopt AI, but momentum is building, signalling that audiences everywhere may start expecting AI-driven efficiency across the board.

AI’s Impact on Workforce and Jobs

With adoption in full force, it’s no surprise that AI is reshaping day-to-day work, speeding up some tasks while raising real concerns about job security and fairness. 

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These numbers show where workers see value, where they feel uneasy, and why clear policies and transparency make a difference in how teams adapt.

32. Professional writing tasks finished 40% faster with ChatGPT, and even quality improved by 18% 

Source: MIT study, July 2023  

Why it matters: Faster drafts are only half the story. If ChatGPT helps writers hit deadlines more easily, the bigger advantage is what they can deliver on top. Maybe that’s extra research, clearer messaging, or simply work that feels more authoritative.

33. Almost 51% of professional developers use AI tools every day (that number climbs to 68% with weekly users)

Source: Stack Overflow report, 2025  

Why it matters:  If half of professional developers are using AI daily, their final product won’t be purely human-made anymore. Documentation, review processes, and security checks all need to account for code written with AI assistance, or you risk licensing errors and inconsistent style sneaking into production.

34. 52% of US workers say they’re concerned about the future of AI use at work

Source: Pew Research Center article, February 2025  

Why it matters: Concern on this scale shows AI is reshaping workplace culture as much as workflows. Businesses that acknowledge those worries directly (whether through AI training, clear communication, or simply reassurance) will have an easier time keeping employees happy and engaged as adoption grows.

35. Roughly 36% of occupations use AI for at least a quarter of their tasks, and around 4% use AI for three‑quarters or more

Source: Anthropic study, February 2025  

Why it matters: AI isn’t showing up evenly across roles. Some teams are already leaning on it heavily while others barely touch it, which means managers need to plan for different levels of training, oversight, and support.

36. Customer‑support agents handled about 15% more issues per hour with AI assistance, with novices seeing a 30% increase

Source: Quarterly Journal of Economics article, May 2025 

Why it matters: These kinds of gains show that AI isn’t just a productivity booster for experts, as it’s clearly closing the gap for new hires, too. That makes customer support an early proving ground for where AI can add measurable value without replacing people.

37. Developers completed a scoped coding task 55.8% faster with AI

Source: GitHub Copilot study, February 2023  

Why it matters: The biggest gains show up in work that has clear rules and easy checks. If a similar concept is applied to content, it points to jobs like formatting, tagging, or templated copy. You know, tasks where speed matters but accuracy is just as easy to verify.

38. Experienced open‑source developers were 19% slower using early‑2025 AI tools on their own repositories

Source: METR study, July 2025  

Why it matters: Slower performance from experienced developers is a reminder that AI isn’t always an easy upgrade. In complex, long-running projects, rollout may need testing and the right tools before it pays off.

39. 78% of AI-using knowledge workers bring their own AI tools to the job

Source: Microsoft and LinkedIn report, 2024  

Why it matters:  If most workers bring their own AI tools, it shows the gap between what companies provide and what people actually need. For content teams, that gap can impact workflows unless leaders set clear policies and supply trusted tools.

40. About 40% of jobs around the world are exposed to AI, and this rises to roughly 60% in advanced economies

Source: IMF analysis, January 2024  

Why it matters: Lots of jobs already involve AI, especially in advanced economies. You could take it as a sign that tasks are shifting. Planning for training now makes it easier to keep teams steady through the changes.

41. 50% of organizations expect AI to create more jobs, while 25% think it will lead to job losses

Source: World Economic Forum report, May 2023  

Why it matters: When AI is concerned, nobody agrees on where jobs go next, and that uncertainty makes it risky to wait. Start planning for reskilling now so you aren’t scrambling later.

42. AI power users say it saves them more than 30 minutes per day, and even makes them feel more focused and creative

Source: Microsoft and LinkedIn report, May 2024  

Why it matters: Saving half an hour a day adds up fast, and the people using AI most effectively already know the shortcuts. Letting them document what works and share it with the team turns individual gains into company-wide progress.

43. More confidence in generative AI can lead to less critical thinking among knowledge workers

Source: Microsoft Research and Carnegie Mellon University study, April 2025  

Why it matters: Feeling sure about AI output isn’t the same as being right. Try to build in checks and reviews to keep teams from running with answers that only look convincing.

44. 34% of educators use AI ‘always’ or ‘often’, and 58% of administrators also report regular use 

Source: Carnegie Learning report, 2025  

Why it matters: Regular use by teachers and administrators shows AI is already part of daily school operations, making it key to set clear rules on disclosure, grading, and privacy before it becomes harder to rein in.

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AI Safety, Reliability, and Content Integrity

AI tools can be helpful, but as you probably know all too well, they still get things wrong and may even hallucinate. People notice when the information isn’t reliable, and that shapes how much they’re willing to trust it. 

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These stats show where guardrails work, where they don’t, and why human checks and clear labeling matter if you want your audience to believe what they’re reading.

45. 10 leading chatbots repeated false claims in about 40% of answers, and didn’t even respond about 22% of the time

Source: NewsGuard report, December 2024  

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Why it matters: If chatbots are wrong or incomplete this often, it’s hard to trust their output. The takeaway here is to treat everything as a draft and back it with sources before publishing.

46. When generating medical research sources, GPT‑3.5 hallucinated nearly 39.6% of its references, GPT‑4 28.6%, and Bard 91.4%

Source: Journal of Medical Internet Research article, May 2024  

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Why it matters: In sensitive fields like health, made-up references aren’t just errors; they’re risks. Always remember to pair AI output with trusted sources and expert review before publishing.

47. With safeguards in place, clinical notes saw hallucination and omission rates of just 1.47% and 3.45% respectively

Source: npj Digital Medicine article, May 2025  

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Why it matters: They may take a little extra time to implement, but guardrails make a difference. With the right prompts, retrieval, and checks, error rates drop to a level professionals can actually work with.

48. Attacks designed to bypass GPT-3.5 and GPT-4 safeguards succeeded about 84% of the time in lab tests 

Source: arxiv.org paper, July 2023  

Why it matters: If guardrails on major models can be broken this easily, it isn’t just about mistakes — it’s about vulnerability. Treat outputs as open to manipulation and put review steps in place before trusting them.

49. At least 1,271 AI-generated news or information sites exist with little to no human oversight

Source: NewsGuard report, May 2025  

Why it matters: With so many AI-made sites running without oversight, bad information can look more real than ever. Double-check sources before you cite them and rely on signals that prove where the content came from.

50. Over 6 million student papers flagged as containing 80%+ AI writing out of over 200 million scanned 

Source: Turnitin press release, April 2024

Why it matters: With millions of papers flagged, schools can’t ignore AI use anymore. Using AI content detection tools is only the first step — clear rules and easy ways for students to show how they used AI have to follow.

51. 74% of those familiar with or using AI say AI-generated content makes it harder to trust what they see online

Source: Deloitte study, December 2024
Why it matters: Even people who know AI well are struggling to trust what they read online. That makes transparency (like clear labels and verifiable sources) a must if you want to keep credibility.

52. Just 54% of US employees believe their organizations have responsible AI policies

Source: KPMG and University of Melbourne study, 2025
Why it matters: When almost half of employees think their company lacks clear AI rules, it creates a credibility issue. If your policies aren’t visible, audiences may assume oversight is missing, too.

53. 51% of AI-generated answers about current affairs had “significant issues,” like factual errors

Source: BBC study, February 2025
Why it matters: If half the answers come back with mistakes, you can’t treat AI output as finished work. It has to be checked and fixed before it ever reaches an audience.

54. 84% of consumers say AI-generated content should be labeled, and 68% worry it could be used to deceive or scam them

Source: Deloitte study, 2024
Why it matters: The majority of consumers studied favored labeling AI-generated content, while 68% were concerned about the potential for synthetic AI-generated content to be used for scams.

AI Investment, Policy, and Governance

Money is flowing into AI at record levels, and policymakers are racing to set the rules that go with it. The combination of heavy investment and fast-moving regulation is changing how businesses grow, launch products, and stay compliant. 

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These stats show where funding is headed, how oversight is evolving, and why both will matter for anyone building or publishing with AI.

55. Global private investment in generative AI reached $33.9 billion in 2024, up 18.7% from the previous year

Source: Stanford AI Index report, 2025
Why it matters: Billions flowing into generative AI show investors still see momentum. That kind of money speeds up competition and raises the bar for results, not just demos.

56. Global AI funding totaled over $100 billion in 2024 — a new record high

Source: CB Insights report, January 2025
Why it matters: With billions being poured into AI, new products will likely flood the market fast. For buyers, that means more choice but also more pressure to tell which tools actually deliver.

57. In the first half of 2025, generative AI startups raised $49.2 billion from global venture capital investment, already surpassing 2024 totals

Source: EY Ireland press release, August 2025
Why it matters: Investment is accelerating, not slowing. Startups that survive now will likely face stronger competition, but also have more capital to scale faster.

58. AI startups accounted for 64% of US venture capital dollar volume and 53% globally in the first half of 2025

Source: Pitchbook data via Axios article, July 2025
Why it matters: AI is dominating venture capital at this point. That concentration may just pull talent, standards, and infrastructure toward AI-first businesses.

59. AI startups had a 30% higher median Series A valuation than non-AI companies in 2024

Source: Carta report, July 2025
Why it matters: Investors are paying a premium for AI companies at an early stage. That kind of valuation lift means expectations are high, and startups will need to prove real value quickly to keep it.

60. American private AI investment hit $109.1 billion in 2024

Source: Stanford AI Index report, April 2025
Why it matters: That kind of money attracts the best talent and sets the pace for the tools everyone else ends up using. If you’re building with AI, expect US companies to influence the standards and APIs your team works with.

61. OECD.AI now lists 1000+ AI policies and initiatives worldwide

Source: OECD.AI Policy Navigator, September 2025
Why it matters: Governments aren’t sitting on the sidelines anymore. With hundreds of new rules in play, businesses need to stay alert to which ones could affect their content or operations.

62. The US AI Safety Institute Consortium launched with over 200 member organizations

Source: NIST article, February 2024
Why it matters: When this many major players join forces, their standards quickly become the baseline. Agencies and enterprises will soon expect vendors to prove they can keep up.

63. At least 45 states, Washington, DC, Puerto Rico, and the Virgin Islands introduced AI bills in 2024

Source: NCSL report, September 2024
Why it matters: A single federal rulebook won’t cover you. Each state is adding its own twists, so tracking local requirements is turning into a must-do task.

64. Over 1,000 AI-enabled medical devices have been authorized by the FDA via existing premarket pathways

Source: US FDA news release, January 2025
Why it matters: AI is already embedded in high-stakes industries like healthcare. If you’re in marketing or product, plan on clear safety messaging and transparency from the start.

65. 10 countries and the European Union agreed to form the first international network of AI Safety Institutes at the 2024 AI Seoul Summit

Source: UK Government press release, May 2024
Why it matters: For the first time, oversight bodies are linking up across borders. That could make global compliance checks simpler, but also harder to avoid.

Final Thoughts

If this collection of AI statistics means one thing, it’s this: you can’t escape AI anymore. It’s becoming such a normal part of consumers’ and businesses’ routines that even the government is getting involved — and racing to catch up.

Policies aren’t the only thing lagging behind, though. Despite such widespread adoption, trust in AI remains an issue, which is especially relevant for marketers, publishers, and anyone else who creates content.

After all, trust often decides what gets read, shared, and believed, and the way to do it these days is by showing your work. Be clear about how you use AI, back your claims with solid sources, and check over any AI-generated work carefully.

Because in a world filled with similar AI outputs, credibility is what can set you apart.

Maintain transparency in the age of AI with Originality.ai.

Further Reading:

• LLM Visibility and AI Search Statistics: 80+ Stats
• Amount of AI Content in Google Search Results
• 20+ Social Media Statistics to Know in 2025
• Gemini Statistics, Facts, and Product History

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