Every figure on this page links to the organization that produced it, and each was re-checked against that source before publishing. How many marketers, creators and businesses use AI for video, what Adobe, Google, Kuaishou and Meta report about their own tools, what YouTube and TikTok say about AI dubbing and AI labels, what audiences think, and which popular AI video statistics don't hold up.
63% of video marketers in Wyzowl's 2026 survey had used AI video tools to create or edit, yet Wyzowl's 2024 edition reported 75%. (Wyzowl, vendor survey)See details
Published shares of AI use in video run from 18% of Wistia customers making videos with AI in 2024 to 99% of marketers who had experimented with AI in a 2025 Wistia survey, mostly because the questions differ. (Wistia, vendor surveys)See details
24.6% of U.S. employer businesses used AI in October 2026, up from 19.8% in early May, and 46.4% in the Information sector, which includes film and video. (U.S. Census Bureau)See details
9.55% of EU enterprises with 10 or more employees used AI to generate pictures, video or sound in 2025; in the UK, 16% of businesses with 10 or more employees used AI for visual content in June 2026. (Eurostat; ONS)See details
BLS projects film and video editor jobs to grow 3.7% from 2025 to 2035, against 3.5% for all jobs, and applies no AI factor to editors. (BLS Employment Projections)See details
Adobe counted 29 billion Firefly generations by September 2025, its last cumulative total; we found no video-only count. (Adobe)See details
Kling had generated more than 600 million videos by December 2025, and Google's Flow over 275 million by October 2025. (Kuaishou Technology; Google)See details
Kling AI's revenue passed RMB850 million in Q2 2026; it is the only video model whose revenue we found reported quarter by quarter in exchange filings. (Kuaishou Technology)See details
More than 1 million YouTube channels a day used its AI creation tools in December 2025, and auto dubbing now covers 27 languages. (YouTube)See details
TikTok has labelled over 3 billion videos as AI-generated. (TikTok, July 2026)See details
YouTube said in May 2026 that an AI label alone does not change how a video is recommended or whether it can earn money. (YouTube)See details
53% of U.S. weekly podcast consumers approve of podcasts using AI to edit existing video, but 42% approve of podcasts using it to generate video. (Edison Research at SSRS)See details
76% of U.S. adults say it matters to tell AI-made content from human work, but 53% aren't confident they can. (Pew Research Center)See details
The '90% of online content will be AI-generated by 2026' line was one CEO's forecast, and in 2024 Europol removed it from its report as coming from an inaccurate source. (Europol)See details
How many marketers and creators use AI to make or edit video?
Most say they do, but the share depends on who asks and how. In Wyzowl's 2026 survey, 63% of video marketers said they had used AI video tools to help create or edit marketing videos, up from 51% a year earlier (Wyzowl). Wyzowl sells explainer videos, and its 2026 sample was 266 respondents in late 2025, marketers and consumers combined. Surveys of creators run higher, and Wistia's customer surveys run lower.
Nearly every published figure comes from a company that sells AI video tools, video hosting or video production. The table puts the surveys side by side with the details each publisher discloses. None of them is a random sample of all marketers or creators.
Survey (publisher)
Who was asked
Sample
Fieldwork
Reported share
Wyzowl State of Video Marketing 2024 (sells explainer videos)
Video marketers
967 respondents, marketers and consumers
Late 2023
75% have used AI tools to create or edit marketing videos
Wyzowl State of Video Marketing 2025
Video marketers
205 respondents
Late 2024
51% have used AI tools to create or edit marketing videos
Wyzowl State of Video Marketing 2026
Video marketers
266 respondents
Late 2025
63% have used AI video tools to create or edit marketing videos
Wistia State of Video Report 2024 (sells video hosting and AI tools)
Wistia customers
2,000 professionals
Not stated
18% were using AI to make videos
Wistia State of Video Report 2025
Wistia customers
1,300 professionals
Not stated
41% of brands used AI for video creation
Wistia State of Video Report 2026
Wistia customers
Not stated
Not stated
38% actively use AI in video production, down from 41%
Wistia State of Video Report 2026
Professionals across industries
900+
Not stated
More than a third of teams use AI in their video workflow
Wistia AI Video Marketing Trends for 2026
Marketers who work with video
503
Sept 16 to Oct 1, 2025
99% have experimented with AI; over two-thirds have published a video made partly with generative AI
HubSpot Video Marketing Report 2024 (sells marketing software)
Video marketers
500+
Not stated
Only 9% do not use AI in their video strategy
HubSpot State of AI 2025
Marketing and advertising professionals
1,000+
Not stated
56% use AI to create short-form video; 42% to create long-form video
HubSpot State of Marketing 2026
B2B and B2C marketers
1,500+
Not stated
42% use AI video or audio editing tools; 44% use video or animation generators
Content Marketing Institute B2B trends 2026 (media company; survey sponsored by a CMS vendor)
B2B marketers, mostly North American
1,015
June 24 to Aug 14, 2025
53% use AI creative asset tools for images, video and other visuals
Content Marketing Institute B2B trends 2027 (media company)
B2B marketers, mostly North American
861
June 23 to Aug 11, 2026
88% say their organization uses AI-powered content creation tools
The spread is mostly definition. "Experimented with AI" and "use AI in their video strategy" count a generated title or a set of tags as use, so they land near the top. "Used AI to make videos" lands near the bottom. HubSpot's 2026 figure for AI video generators, 44%, sits within a few points of its figure for AI editing tools, and HubSpot says 37.2% of marketers use AI extensively for media creation, a category that merges images and video (HubSpot).
Wyzowl's own series does not move in a straight line: 75%, then 51%, then 63%, from samples of 967, 205 and 266. The 2026 edition also changed the wording from "AI tools" to "AI video tools", so the rise is not like for like. Wistia's two 2026 publications disagree with each other for a similar reason. Its recap counts the 62% of teams that already use AI or plan to start soon (Wistia), which adds intent to use.
What do video teams use AI for?
Captions and transcripts, more than anything else. In Wistia's 2024 customer survey, 59% of companies using AI tools said they were most useful for auto-generating captions or transcripts (Wistia), and in its 2025 survey over 60% had used or planned to use AI captions (Wistia). Wistia sells AI captioning, so these are features it offers. Among the creators Adobe surveyed in September 2025, the top uses were editing, upscaling and enhancement (55 percent), then generating new assets such as images and video, at 52 percent (Adobe).
Users report speed and more output, and a lot of fixing. In Adobe's May 2026 survey of creators who use or have tried creative AI, 93% said it helps them produce content faster (Adobe), while 57% said the outputs typically need moderate or extensive editing before they are ready to share (Adobe). In Wistia's September 2025 survey, 91% of teams said they produce more videos since adopting AI tools (Wistia) and 64% said AI had led them to reduce outsourcing to agencies or content houses (Wistia).
Quality and cost hold people back. Adobe's 2025 survey found high cost (38 percent) and unreliable output quality, at 34 percent, were the top barriers to adopting creative generative AI (Adobe). And 75% of creators in Adobe's 2026 survey believe their audience can already tell when AI was meaningfully involved in their work (Adobe). That is a belief, not a detection test; the audience section below has what viewers say themselves.
How many businesses use AI, and how many use it for images or video?
About one in four U.S. employer businesses: 24.6% reported using AI in the U.S. Census Bureau's Business Trends and Outlook Survey (BTOS) for the collection period of October 5 to 18, 2026 (Census BTOS data), up from 19.8% in the period ending May 3, 2026 (U.S. Census Bureau). Both use the same question. The Information sector, which includes the motion picture and video industries, reported 46.4%, about 1.9 times the national rate by our calculation, and 51.1% of Information-sector businesses expected to use AI within six months (Census BTOS data, Information sector).
Government surveys in Europe and the UK ask about images and video directly. In 2025, 9.55% of EU enterprises with 10 or more employees used AI that generates pictures, videos or sound, the second most common type of AI after text mining, according to Eurostat. In the UK, 16% of businesses with 10 or more employees used AI for visual content creation in June 2026, second only to large language models, according to the Office for National Statistics.
Adoption has climbed fast, though part of the U.S. rise is a new question. Under the older BTOS wording, AI used "to produce goods or services", only 3.9% of U.S. businesses used AI between October 23 and November 5, 2023 (U.S. Census Bureau). On November 17, 2025 the Census Bureau changed the question to AI use "in any business function", which counts far more everyday uses, so the two numbers are not a series. In the 2018 Annual Business Survey, fewer than 6% of U.S. firms used any of five AI-related technologies in 2017 (Census Bureau Center for Economic Studies). In the EU, the share of enterprises using AI rose from 13.5% in 2024 to 20.0% in 2025 (Eurostat). Eurostat began asking about pictures, video and sound as its own category in 2025, so there is no earlier value.
Marketing is where firms use it most. Among U.S. firms using AI in November 2025 to January 2026, sales and marketing was the most common business function, at 52% of users (Census Bureau Center for Economic Studies).
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Not in the federal numbers so far. The U.S. Bureau of Labor Statistics projects employment of film and video editors to grow 3.7 percent from 2025 to 2035 (BLS Employment Projections), slightly faster than the 3.5 percent it projects for all occupations. That is 0.2 percentage points faster, by our calculation. BLS's table of the factors behind its 2025-35 projections lists no factor at all, AI or otherwise, for film and video editors. For special effects artists and animators, occupation 27-1014, it says their share decreases "as more animation and post-production tasks are accelerated by the use of technology, including generative artificial intelligence (AI) tools" (BLS Table 1.12, Internet Archive capture). BLS projects that occupation to change by -0.3 percent over the decade.
Projected job growth, 2025 to 2035Percent change in U.S. employment from 2025 to 2035, self-employed included, from the BLS 2025-35 Employment Projections. All occupations is the national benchmark. BLS attributes the animators' shrinking share partly to animation and post-production tasks being sped up by technology, including generative AI tools.Use this chart on your site
BLS counted 39.4 thousand film and video editor jobs in 2025, self-employed editors included, and projects about 3.1 thousand openings a year (BLS Employment Projections). Its employer survey, which leaves out the self-employed, counted 25,610 wage and salary editors in May 2025, with a median annual wage of $75,420 (BLS OEWS employment, median wage). 13,280 of them, about 51.9% by our calculation, worked in the motion picture and video industries (BLS OEWS).
BLS is cautious about writing technology into its projections before the data show it. In its article on how it incorporates AI, it recalls projecting a 23.6 percent decline in photographic process workers for 2004-14, as digital cameras replaced film, before historical data showed any decline (BLS Monthly Labor Review).
Industry surveys and freelance markets show more strain. In a survey of 300 U.S. entertainment-industry executives and managers in late 2023, three-fourths (75%) said generative AI tools had supported the elimination, reduction or consolidation of jobs in their business division (CVL Economics for The Animation Guild). The same study estimated that about 21.4% of U.S. film, television and animation jobs, about 118,500, were likely to have enough tasks affected to be consolidated, replaced or eliminated by 2026. That is a projection, and the study was commissioned by unions and artist groups.
On the Upwork marketplace, contract starts for generative AI and creative production work grew 90% year over year in Q1 2026, while per-contract earnings for that work fell 13% (Upwork Research Institute). Upwork's gross services volume from AI-related work grew more than 22% in Q2 2026 while its total fell (Upwork Q2 2026 results). Upwork runs a freelance marketplace that includes video editing.
Employers themselves rarely report AI-driven cuts. Only 2% of U.S. firms reported AI-related employment decreases in November 2025 to January 2026, and 66% of AI users relied on it only to augment tasks (Census Bureau Center for Economic Studies). In Canada, 89.4% of businesses that used AI in the 12 months to the second quarter of 2025 reported no change to their employment levels (Statistics Canada). In the UK, 52.5% of businesses using AI for visual content creation said creative or design roles were affected, the highest share for any pairing ONS showed (ONS chart data); ONS does not say affected means cut.
Unions have written AI into contracts. IATSE members ratified the 2024-2027 Hollywood Basic Agreement, which includes AI protections, with 85.9% of votes in favor (IATSE). Writers Guild of America members ratified the 2023 contract that set the guild's first generative-AI terms with 99% of votes (WGA).
How much are Adobe's and Canva's AI tools used?
Adobe said Firefly had passed 29 billion generations by the end of its third fiscal quarter of 2025 (Adobe, September 11, 2025). That was the last cumulative total it gave; from its fourth quarter it reported growth rates instead. We found no count of videos alone from Adobe, and the unit changed along the way, from images to generations to assets.
Date Adobe reported it
Cumulative Firefly count
Unit Adobe used
Sept 13, 2023 (end of beta)
Over two billion
Images
Oct 10, 2023
Over 3 billion
Images
Mar 26, 2024
More than 6.5 billion
Images
Apr 23, 2024
Over 7 billion
Images
Sept 11, 2024
Over 12 billion
Images
Oct 14, 2024
More than 13 billion
Images
Dec 11, 2024
16 billion
Generations
Feb 12, 2025
Over 18 billion
Assets
Mar 12, 2025
Over 20 billion
Assets
Apr 24, 2025
More than 22 billion
Assets, "including images and videos"
June 12, 2025
Over 24 billion
Generations, including Premiere Pro Generative Extend and Firefly video
Between the two counts that both use "generations", December 2024 and September 2025, the total rose by about 13 billion, by our calculation.
Video came later than images. Adobe put its Firefly Video Model into limited public beta in October 2024 and made it generally available on April 24, 2025 (Adobe). Generative Extend, which lengthens a clip inside Premiere Pro, became generally available on April 2, 2025 (Adobe). Adobe told investors that the video model's beta drove a 70 percent increase in Premiere Pro beta users (Adobe, December 2024), that over 90 percent of paid Firefly Standard and Pro subscribers were generating videos weeks after those plans launched (Adobe, March 2025), that Firefly video generations grew nearly 40 percent quarter over quarter in Q3 FY2025 (Adobe, September 2025), and that video generative actions grew more than 8x year over year in Q1 FY2026 (Adobe, March 2026). Adobe gives no base for these growth rates.
The money is still small next to Adobe's business. Its "AI-first" products, standalone and add-on AI offerings, exited Q1 FY2025 with over $125 million in ending annual recurring revenue (Adobe), passed $500 million in Q2 FY2026 (Adobe) and $650 million in Q3 FY2026 (Adobe). Adobe's broader "AI-influenced" measure, which counts subscriptions to products that include AI features, surpassed $5 billion in Q3 FY2025 (Adobe). Consumption of generative credits across Creative Cloud, Firefly and Express rose 3x quarter over quarter in Q4 FY2025 (Adobe). These are Adobe's own management metrics, not audited revenue lines.
Canva counts "uses" of its AI products rather than videos. It reported more than 4 billion uses in December 2023 (Canva), over 18 billion in June 2025 when it launched a video clip feature built on Google's Veo 3 (Canva), and more than 27 billion in April 2026 (Canva), about 6.75 times the 2023 figure by our calculation. Canva does not define a use. CapCut, owned by ByteDance, says over 7 million creators use its AI features every day (CapCut, September 2026).
The professional editors added AI features without publishing usage. Blackmagic Design announced DaVinci Resolve 20 with over 100 new features and AI tools, including AI IntelliScript and AI Multicam SmartSwitch (Blackmagic Design, April 2025). Apple's Final Cut Pro 11 added two AI-powered tools, Magnetic Mask and Transcribe to Captions (Apple, November 2024).
How many videos do AI video generators make?
Hundreds of millions, by the makers' own counts. Kuaishou said its Kling AI model had generated more than 600 million videos by December 2025, 18 months after launch, for over 60 million creators (Kuaishou Technology). Google said more than 275 million videos had been generated in Flow, its Veo-based filmmaking tool, by October 2025 (Google). None of these counts says how many of the videos were published or watched.
Kling is the only video model whose revenue we found reported in exchange filings, quarter by quarter.
Quarter
Kling AI revenue reported by Kuaishou
Q1 2025
Over RMB150 million
Q2 2025
Over RMB250 million
Q3 2025
Over RMB300.0 million
Q4 2025
RMB340 million
Q1 2026
Over RMB650 million, more than 300% higher year over year
Q2 2026
Over RMB850 million, more than 200% higher year over year
The four 2025 quarters add up to at least RMB1,040 million, by our calculation. Kuaishou put Kling's annualized revenue run rate at about USD500 million in March 2026 (Kuaishou Technology). Kling's user base had passed 22 million ten months after its June 2024 launch (Kuaishou Technology).
MiniMax, the company behind Hailuo AI, published its numbers in its Hong Kong listing prospectus. Hailuo AI had 42,348 thousand users as of September 30, 2025, counting registered web users plus activated app devices, up from 5,735 thousand at the end of 2024 (MiniMax prospectus, key operating data). Its average monthly active users rose from 2,172,000 in 2024 to 5,648,000 in the first nine months of 2025 (MiniMax prospectus, business section). Videos generated per month by its video model rose 652.9% between June and November 2025, two months the company chose on either side of a model launch, with no absolute count given (MiniMax prospectus). Hailuo AI clips run 6 to 10 seconds, at up to 1080p for subscribers (MiniMax prospectus). Users and devices are not unique people, so these are not audience counts.
Google's Veo 3 counts grew fast after its May 2025 launch: over 40 million videos across the Gemini app and Flow in seven weeks (Google), over 70 million by late July (Alphabet Q2 2025 earnings remarks) and over 230 million by late October (Alphabet Q3 2025 earnings remarks). That implies about 160 million in those three months, by our calculation. After Gemini Omni launched in May 2026, daily active users creating videos in the Gemini app rose 40% (Alphabet Q2 2026 earnings remarks). Flow and Veo 3 counts overlap, so they should not be added together.
Meta's generation tools serve advertisers first. Nearly 2 million advertisers were using its video generation features by mid-2025 (Meta Q2 2025 prepared remarks), and more than 8 million advertisers used at least one of its generative AI ad creative tools in Q1 2026 (Meta Q1 2026 prepared remarks). Meta said the combined annual revenue run-rate of its AI video generation tools for advertisers reached $10 billion in Q4 2025 (Meta). It does not say how that revenue is counted, so it is not the revenue of selling an AI video tool. Media generation in the Meta AI app rose more than tenfold after the Vibes AI-video feed launched in September 2025 (Meta Q3 2025 prepared remarks), and daily users generating media in Meta AI tripled year over year in Q4 2025 (Meta Q4 2025 prepared remarks).
We found no usage count for Sora on OpenAI's own site. At Sora's public launch in December 2024, users could generate clips up to 1080p and 20 sec long (OpenAI, Internet Archive capture). OpenAI's help center says the Sora web and app experiences were discontinued on April 26, 2026, and that the Sora API would be discontinued on September 24, 2026 (OpenAI Help Center, Internet Archive capture). HeyGen, an AI avatar vendor, says its users have created more than 118 million videos, with no published method (HeyGen).
What do YouTube, TikTok and Meta report about AI editing and dubbing?
YouTube says that on average more than 1 million channels a day used its AI creation tools in December 2025, according to CEO Neal Mohan's 2026 letter (YouTube). In August 2026 alone, hundreds of thousands of channels a day used the Gemini Omni editing tools added to Shorts and the YouTube Create app earlier that year (YouTube, Made on YouTube 2026). At Made on YouTube in September 2025, YouTube began adding Veo 3 Fast to Shorts, generating clips with sound at 480p, and announced Edit with AI, which turns camera-roll footage into a first draft (YouTube).
Dubbing is the AI editing feature with the clearest numbers. YouTube launched auto dubbing on December 10, 2024 to hundreds of thousands of Partner Program channels focused on knowledge and information, in eight languages to and from English (YouTube). By February 4, 2026 it was available to everyone in 27 languages (YouTube), and an "Expressive Speech" version launched for all channels in 8 languages the same day (YouTube). By May 2026 YouTube said millions of channels were using it (YouTube).
Viewers do use the dubs. In December 2025 YouTube averaged more than 6 million daily viewers who watched at least 10 minutes of auto-dubbed content (YouTube). For videos with dubbed audio, more than 40% of watch time comes from viewers choosing a dubbed language, Mohan wrote in his 2025 letter (YouTube). In September 2026 YouTube said more than 40% of live watch time comes from viewers outside a creator's home country, as it announced a pilot of real-time dubbing for livestreams starting in early 2027 (YouTube).
Meta runs its own dubbing and editing tools. Its AI dubbing was available in nine languages in January 2026, with hundreds of millions of people watching AI-translated videos every day (Meta). Nearly 10% of daily Instagram Reels views came from content made in Edits, Meta's standalone video editing app launched in April 2025 (Meta). Its Restyle video editing feature launched in June 2025 with more than 50 preset prompts that transform 10 seconds of a user's video (Meta).
How do platforms label AI video, and does a label cost reach or money?
TikTok says it has labelled over 3 billion videos as AI-generated content, as of July 10, 2026, using Content Credentials (C2PA), creator labels and its own invisible watermarks (TikTok). In November 2025 the count was over 1.3 billion (TikTok), so about 1.7 billion were added in under eight months, by our calculation. TikTok does not say when its count starts.
On YouTube a label does not, by itself, cost a video reach or money. YouTube began requiring creators to disclose realistic altered or synthetic content on March 18, 2024. It said creators do not need to disclose AI used for productivity, such as scripts, content ideas or automatic captions, or for unrealistic content, colour adjustments and beauty filters (YouTube). From May 2026 YouTube applies an AI label itself when a creator says nothing and its systems detect significant photorealistic AI use. It said a label alone does not change how a video is recommended or whether it can earn money (YouTube). A separate "captured with a camera" label appears only when footage comes from a device with C2PA version 2.1 or higher support and no edits to sound or visuals (YouTube Help). Since May 2026 YouTube's likeness detection, which finds AI videos using an enrolled creator's face, has been open to all creators aged 18 and older (YouTube).
YouTube's monetization rule concerns mass production, not AI use as such. On July 15, 2025 it renamed its "repetitious content" policy "inauthentic content" in what it calls a minor update, saying repetitive or mass-produced content has always been ineligible for monetization (YouTube Help). The same page now names AI in two cases, in clarifications YouTube rolled out on July 16, 2026 (TechCrunch): "AI-generated content made with generic or unoriginal templates giving the impression of mass production" without the creator's own insight is not allowed to monetize, and neither are channels that use AI-generated personas presented as human experts giving advice on health, legal issues, finances or politics (YouTube Help). In his January 2026 letter, Neal Mohan named managing "AI slop" as one of four AI priorities, and said YouTube is building on the systems it uses against spam, clickbait and low-quality repetitive content to reduce the spread of low-quality AI content (YouTube). The letter does not say channels are downranked or suppressed for using AI tools.
TikTok's labels began with creators. Over 37 million creators had used its AI-generated content label by May 2024 (TikTok), when it started labelling AI images and video uploaded from other platforms by reading Content Credentials on May 9, 2024 (TikTok). In November 2025 it began testing a control that lets people choose how much AI-generated content appears in their For You feed (TikTok).
TikTok's EU reports show the split between creator labels and automatic ones. In the first half of 2025, creator-labelled AI videos in the EU and EEA rose 36% to more than 8.7 million, and automatically labelled AI content rose 81% to about 5.5 million (TikTok EU disinformation report, September 2025). Removals of AI-generated content that broke its rules fell to fewer than 25,000, down from over 51,618 synthetic media videos in the second half of 2024 (TikTok EU disinformation report, March 2025).
Meta renamed its label after complaints. It began labelling AI-generated video, audio and images "Made with AI" in May 2024, then renamed the label "AI info" on July 1, 2024 because labels triggered by industry metadata were landing on photos with only minor AI edits (Meta). Pinterest began adding "AI modified" labels to image Pins globally on April 30, 2025 (Pinterest), and Snap began watermarking images made with its generative AI tools in April 2024 (Snap).
How do audiences feel about AI-made or AI-edited video?
They want to know, and few trust themselves to tell. In a June 2025 Pew Research Center survey, 76% of U.S. adults said it is extremely or very important to be able to tell whether pictures, videos and text were made by AI or by people, but 53% were not confident they could (Pew Research Center). In the UK, only 30% of adults feel they can confidently judge whether an image, audio or video was generated by AI (Ofcom), and fewer than one in ten, 9%, were confident they could identify a deepfake (Ofcom).
Audiences accept AI that edits more readily than AI that makes the content or plays a person. The same split shows up in three unrelated surveys:
Survey
Population
AI helping or editing
AI generating the content
AI standing in for a person
Edison Research at SSRS, The Podcast Consumer 2026 (Q1 2026)
U.S. weekly podcast consumers 13+
53% approve of podcasts using AI to edit existing video
42% approve of podcasts using AI to generate video
25% approve of an AI-generated voice hosting the podcast
Reuters Institute, Generative AI and News Report 2025 (June to July 2025)
Adults in six countries
43% comfortable with news made mainly by a human with some AI help
12% comfortable with news made entirely by AI
19% comfortable with artificial presenters or authors
Reuters Institute, Generative AI and News Report 2026
Adults in nine countries
45% comfortable with news made mostly by a human with some AI help
12% comfortable with news made entirely by AI
Not reported
Bentley University-Gallup (May 4 to 11, 2026)
U.S. adults
75% find AI acceptable for brainstorming or drafting ads, when disclosed
53% find AI acceptable for the final text, images or video in ads
62% say AI-created people or voices in ads are unacceptable even when disclosed
In Edison's data the gap between editing and generating video is 11 percentage points; in the Reuters Institute's it is 31 points between human-led and fully AI news, by our calculation. Edison also found, in early 2026, that 62% of U.S. weekly podcast consumers see AI as a threat to the credibility of podcasts (Edison Research at SSRS).
Labels are wanted and seldom seen. In Great Britain, 91% of adults said platforms should be required to clearly label AI-generated content (YouGov, October 2025). Getty Images, which sells stock and its own generative AI tool, found almost 90% of consumers across 25 countries want to know whether an image was created with AI (Getty Images). Yet only 19% of people in the Reuters Institute's six countries saw AI labels on news daily in mid-2025 (Reuters Institute); the 2026 report asked about the last week instead, and an average of 24% across nine countries had seen a label saying content was made with AI (Reuters Institute 2026). In May 2026, 79% of U.S. adults said they had seen ads in the past 30 days that looked AI-made (Gallup), and 74% of U.S. adults in a 2024 Adobe survey said they had doubted the authenticity of photos or videos on reputable news sites (Adobe).
Deepfakes are common enough to be noticed. 43% of UK people aged 16 and over said they had seen at least one deepfake online in the previous six months, in Ofcom's June 2024 polling (Ofcom).
How many people use AI themselves?
About half of U.S. adults. In February 2026, 49% said they ever use AI chatbots such as ChatGPT, Gemini or Copilot, and 44% said they use ChatGPT (Pew Research Center). 24% use chatbots to create or edit images or videos, and 38% of employed adults use them for tasks at work. Among U.S. workers, 21% said in September 2025 that at least some of their work is done with AI (Pew Research Center). 64% of U.S. teens ages 13 to 17 use an AI chatbot (Pew Research Center).
Other trackers measure different things and land nearby. Edison's Infinite Dial 2026 found 57% of Americans 12 and older have ever used a generative AI assistant (Edison Research). Ofcom found 54% of UK adults use AI tools (Ofcom). Across the Reuters Institute's six countries, 51% used a generative AI system in the last week in 2026, up from 34% in mid-2025, when only 3% used one to create video (Reuters Institute).
Concern outweighs excitement. 50% of U.S. adults said the increased use of AI in daily life makes them more concerned than excited, up from 37% in 2021 (Pew Research Center). Across 25 countries Pew surveyed in spring 2025, the median was 34% (Pew Research Center). 49% of U.S. adults said they would like a painting less if they learned AI made it (Pew Research Center).
What the popular AI video numbers really say
Many AI video statistics in circulation are forecasts that got repeated as facts, or one vendor's customer story that became an industry average. We traced eight of the most repeated to the earliest document we could date. Pages that repeat a claim are linked below only as dated evidence of how it changed, never as a source for the number.
"90% of online content will be AI-generated by 2026"
This was a guess, and the agency that printed it has withdrawn it. Europol's Innovation Lab report on deepfakes, published in April 2022, said "experts estimate that as much as 90 % of online content may be synthetically generated by 2026" (Europol, original edition). Its only citation for the sentence is Nina Schick's 2020 book on deepfakes, not a study or dataset (Europol footnote 4).
In the book, according to a 2023 trace by Reason, the figure is a single prediction by Victor Riparbelli, chief executive of the AI video company Synthesia, that synthetic video "may account for up to 90 per cent of all video content in as little as three to five years" (Reason). The earliest version we found is Riparbelli's July 2019 post: "we believe that in 5 years almost all content will be synthetic", with no percentage (Medium, Internet Archive capture). Video became all online content along the way, and in January 2023 Schick told Yahoo Finance "we might reach 90% of online content generated by AI by 2025" (Yahoo Finance).
Europol replaced the report in January 2024 with a revised edition that no longer contains the sentence or its footnote (Europol, revised edition). Its publication page now explains that "a statement from an inaccurate source on the expected future share of synthetically generated content was removed" (Europol publication page). The number kept going: in April 2026 an SEO agency wrote that "the forecast that 90% of online content could be synthetically generated by 2026 is no longer a projection" (SEO Expert Singapore).
What to use instead: we found no measurement of the share of online content that is AI-generated. The closest counts are narrower. TikTok had labelled over 3 billion videos as AI-generated by July 2026, and one vendor's small test of YouTube Shorts is covered below.
"30% of marketing messages will be synthetically generated by 2025"
This is an analyst prediction, not a measurement, and we found no check of whether it came true. Gartner predicted in January 2023 that by 2025, 30% of outbound marketing messages from large organizations would be synthetically generated, up from less than 2% in 2022 (Gartner, Internet Archive capture). The same article predicted that by 2030 a major blockbuster film would be released with 90% of the film generated by AI. Gartner publishes no method for either figure on its public page.
Repeaters reworded it. Persado, which sells AI-generated marketing copy, gives it as "30% of outbound marketing messages from large organizations will be personalized using generative AI tools" (Persado, Internet Archive capture); Gartner's page says synthetically generated, not personalized. What to use instead: survey data on marketers' actual AI use, such as the table at the top of this page.
"The AI video editing market will reach $X billion"
Market-research resellers publish these figures in free summaries of paid reports, without their methods, and they do not agree on what the market is. Market.us puts the "AI in video editing" market at around USD 4.4 billion by 2033 (Market.us). Virtue Market Research says the "AI video editing tools" market will reach USD 9.3 billion by the end of 2030 (Virtue Market Research). Meticulous Research says the "AI video generation & editing software" market will reach USD 24.89 billion by 2036 (Meticulous Research).
Even for the same label and year they differ. For the "AI video" market in 2024, Grand View Research's summary says USD 3.86 billion (Grand View Research, Internet Archive capture) and a separate Market.us summary says USD 11.2 billion (Market.us), about 2.9 times higher by our calculation. What to use instead: figures companies report to investors, such as Kling's revenue of over RMB850 million in Q2 2026, from Kuaishou's exchange filings, or Adobe's AI-first annual recurring revenue of more than $650 million, a management metric from its earnings materials rather than a revenue line.
"AI cuts video production time by 80%"
The 80% comes from single-customer case studies published by AI avatar vendors. Synthesia headlines a case study in which one UK further-education college reports "80% in video production time savings" (Synthesia, Internet Archive capture). Colossyan headlines a hotel company that "cut 80% of their video production costs" (Colossyan), a cost saving rather than a time saving. Both describe avatar-led training video, not edited footage.
In March 2025 the AI video generator Magic Hour wrote that "businesses report completing projects 50-90% faster using AI tools", with no source (Magic Hour, Internet Archive capture), and has since removed the line. Adwave's statistics page still cites Magic Hour for "roughly 80%" (Adwave).
What to use instead: measured time savings are far smaller. In a nationally representative survey of U.S. workers run with the Federal Reserve Bank of St. Louis, generative AI saved the equivalent of 1.6% of all work hours in 2025 once non-users are included (Federal Reserve Bank of St. Louis). And 57% of creators in Adobe's 2026 survey said AI outputs need moderate or extensive editing.
"YouTube will demonetize AI-generated videos"
YouTube never said this. Days before a July 15, 2025 policy update, The Bridge Chronicle reported that "YouTube has announced it will stop monetizing content featuring AI-generated videos starting July 15, 2025" (The Bridge Chronicle), and Tech Startups headlined "YouTube to demonetize AI-generated videos starting July 15" (Tech Startups, July 9, 2025).
YouTube's policy page describes the July 15, 2025 change as "a minor update" that renamed "repetitious content" to "inauthentic content", and says mass-produced or repetitive content has always been ineligible for monetization. That note does not mention AI. The page names AI only for AI-generated content made with generic or unoriginal templates and for AI personas presented as human experts on topics such as health or finances, clarifications rolled out on July 16, 2026 (TechCrunch), and has no rule against AI-made videos in general (YouTube Help). YouTube's creator liaison Rene Ritchie called it "a minor update to YouTube's long-standing YPP policies to help better identify when content is mass-produced or repetitive", as Search Engine Journal reported on July 9, 2025 (Search Engine Journal). What to use instead: YouTube's own statement that an AI label alone does not change recommendations or monetization eligibility (May 2026).
"8 million deepfakes were shared in 2025"
This figure is arithmetic on a forecast, and it became a count by being repeated. The deepfake-detection company Sensity reported that the number of fake videos online roughly doubled every six months from 2018, with 85,047 detected as of December 2020 (Sensity). In May 2023 Reuters reported that the startup DeepMedia estimated about 500,000 video and voice deepfakes "will be shared" on social media in 2023, a forecast made five months into the year (Reuters, via Yahoo News).
In February 2024 CPI OpenFox, a law-enforcement software vendor, combined the two: "by 2025, we can expect to see 8 million deepfakes shared online, consistent with doubling deepfakes every six months" (CPI OpenFox, Internet Archive capture). Doubling 500,000 four times gives exactly 8,000,000. A UK Home Office unit called it "a projected eight million" in February 2025, linking to the OpenFox post (UK Accelerated Capability Environment). By February 2026 a Home Office news story said "in 2025 alone, 8,000,000 deepfakes are estimated to have been shared" (UK Home Office), and the Government Office for Science wrote that "around eight million deepfakes were shared" (UK Government Office for Science).
Statistics pages now credit both numbers to DeepMedia. Bright Defense writes that "roughly 500,000" deepfakes were shared in 2023, "estimated to have reached 8 million by 2025", citing "DeepMedia via Reuters" (Bright Defense), although Reuters reported only the 500,000 forecast. A December 2025 article in The Conversation credited the 8 million to a cybersecurity firm that had repeated the extrapolation without a source (The Conversation, via University at Buffalo).
The related "deepfake fraud up 3,000%" is a different measurement. The identity-verification vendor Onfido reported a 31x increase in deepfake fraud attempts against its own clients' identity checks from September 2022 to September 2023 (Onfido, Internet Archive capture). TNW restated that as "a 3,000% increase year-on-year" (TNW), dropping the scope. What to use instead: we found no public count of deepfakes. Ofcom's finding that 43% of UK adults saw at least one in six months measures exposure, not volume. For how companies themselves describe the risk, our deepfakes in SEC filings study counts the 10-K annual reports that mention deepfakes each year.
"75% of video marketers use AI" and "78% of marketing teams use AI video"
The first is real but old; the second has no survey we could find. Wyzowl's 2024 survey reported 75%, its 2025 survey 51% and its 2026 survey 63%. In July 2026 Swarmify's statistics page still gave "75% of video marketers use AI tools for creation or editing" alongside Wyzowl's 2026 figures (Swarmify).
The line "78% of marketing teams now use AI-generated video in at least one campaign per quarter" circulates on AI video vendor pages in 2026. We found no survey, report or dataset behind it and do not repeat it as a figure. What to use instead: Wyzowl's 63% for 2026, with its sample of 266, or HubSpot's 2026 finding that 42% of marketers use AI video or audio editing tools.
"A third of YouTube Shorts are AI slop"
This comes from one vendor's test of one new account. Kapwing, which sells an AI video editor, created a new YouTube account and counted the first 500 Shorts it was shown in late 2025: 104, or 21%, were AI-generated, and 165, or 33%, were what it called "brainrot" (Kapwing). PPC Land's headline turned that into "One-third of YouTube Shorts feed now consists of AI-generated slop", using the brainrot share (PPC Land). What to use instead: treat 21% as one account's first 500 Shorts in late 2025, not a platform share. We found none from YouTube.
We started from the questions people search for about ai video editing statistics and looked for the organization that actually produced each answer. Every figure on this page sits in an evidence ledger with its source, the exact table or paragraph it came from, the measurement period, the population measured, and the date we checked it. This edition holds 240 figures from 66 publishers.
On September 28, 2026, each of the 220 sourced figures on this page was re-fetched from its source with the fetch cache cleared and matched against the recorded wording, and the BLS wage and employment estimates were checked against their series in the BLS public data API. Pages that block automated requests, including bls.gov, openai.com, canva.com, wyzowl.com, Adobe's investor files, Ofcom and Gartner, were checked against dated Internet Archive copies. We left out what we could not re-check or could not source properly: BLS's AI exposure category for film and video editors, which exists only in a spreadsheet; SAG-AFTRA's contract ratification votes, whose pages only render in a browser; a Kapwing creator survey that publishes no sample size or dates; and usage counts for Runway, Luma, Pika and Synthesia, which we found only on social media or in press coverage.
We only cite the producer: government agencies, regulators, company filings and official posts, and the survey owner's own report. We do not cite statistics roundups, Statista-style aggregators, or salary sites without a public method. We did not bypass paywalls or sign-up forms; where a full report was gated, we used only the figures its publisher states publicly.
Figures marked "our calculation" are arithmetic on the cited numbers, and anyone can reproduce them:
This edition contains no Mark Studios customer data.
Limitations
Almost every adoption survey is run by a company that sells into the market. Wyzowl, Wistia, HubSpot, Adobe, Artlist, Epidemic Sound, Descript and Synthesia sell video production, hosting or AI tools. None of their samples is random, and several publish no field dates.
Company usage counts are unaudited and their units shift. Adobe's Firefly count moved from images to generations to assets; Canva counts "uses" without defining one; Meta does not say how its video tools' revenue run-rate is counted. None of these counts says how many videos were published or watched.
Government business surveys ask different questions. The U.S. Census Bureau widened its AI question on November 17, 2025, so its 2023 and 2026 rates are not a series. Eurostat and ONS count businesses with 10 or more employees; Statistics Canada asks about producing goods or delivering services.
No statistic measures AI use among video editors as such. BLS projects occupations, not tools, and its employer survey leaves out self-employed editors.
Platform figures are snapshots in the platforms' own words. Cumulative counts such as TikTok's labelled videos grow daily, and "hundreds of thousands" or "millions" of channels are YouTube's phrasing, not counts we can check.
Audience surveys cover different people. Pew surveys U.S. adults, Edison U.S. weekly podcast consumers, the Reuters Institute six countries and Ofcom the UK, each with its own question wording.
Several sources are read through Internet Archive copies because the live pages refuse automated requests. Each such link says so.
How to cite this page
For a single figure, cite the original publisher named next to it, and link here if the verification trail is useful to your readers. Each figure has its own anchor, so you can link straight to it, for example https://www.markstudios.com/research/ai-video-editing-statistics#WRK-005. To cite the page as a whole:
Mark Studios. "AI Video Editing Statistics." Last verified Oct 1, 2026. https://www.markstudios.com/research/ai-video-editing-statistics
APA
Mark Studios. (2026, October 1). AI video editing statistics. https://www.markstudios.com/research/ai-video-editing-statistics
MLA
“AI Video Editing Statistics.” Mark Studios, 1 Oct. 2026, www.markstudios.com/research/ai-video-editing-statistics.
Chicago
Mark Studios. “AI Video Editing Statistics.” Last modified October 1, 2026. https://www.markstudios.com/research/ai-video-editing-statistics.
BibTeX
@misc{markstudios_ai_video_editing_statistics_2026,
author = {{Mark Studios}},
title = {{AI Video Editing Statistics}},
year = {2026},
month = oct,
url = {https://www.markstudios.com/research/ai-video-editing-statistics},
note = {Last verified 2026-10-01}
}
Our calculations and the evidence table are free to reuse with attribution and a link to this page. Each underlying figure remains the claim of its original publisher, and some publishers ask for a link when their figures are reused.
We re-verify every figure quarterly and when a major source publishes a new edition. The next scheduled review is December 2026. Corrections go to contact@markstudios.com.
Sep 26, 2026: First published with 228 figures from 65 publishers, each checked against its original source.
Sep 28, 2026: Added four figures from MiniMax's Hong Kong listing prospectus (Hailuo AI users, monthly active users, video volume and clip length), held back at launch while the exchange's document server was returning errors, and re-checked all 220 sourced figures.
Oct 1, 2026: Re-checked the sourced figures against their sources in our scheduled re-verification; none had changed.
Oct 14, 2026: Added Europol's own explanation for the 2024 revision of its deepfakes report: it removed the 90%-of-online-content sentence as "a statement from an inaccurate source".
Oct 29, 2026: The policy paragraph, the trace of the demonetization claim and the FAQ answer now say that the YouTube monetization policy names AI in two cases, template-made AI content and AI personas giving advice on sensitive topics (rolled out July 16, 2026). They had said the page does not mention AI.
Oct 29, 2026: Moved the Census Bureau's business AI-use rates to its October 5-18, 2026 survey period, read from its BTOS data API: 24.6% of U.S. employer businesses (up from 19.8% in early May) and 46.4% in the Information sector, with 51.1% of Information businesses expecting to use AI within six months.
Oct 31, 2026: Added survey dates to five figures: Statistics Canada's 89.4% (businesses that used AI in the 12 months to the second quarter of 2025), Edison's 62% (U.S., early 2026), the Reuters Institute's 19% (mid-2025), Gallup's 79% (May 2026) and Adobe's 74% (2024).
Oct 31, 2026: Linked the deepfake count trace to our new deepfakes in SEC filings study (10-K mentions by year).
Nov 4, 2026: Added the 2026 editions: Reuters Institute (weekly generative AI use 51% in six countries; 45% and 12% comfort across nine; 24% saw an AI label in the last week), Epidemic Sound (94% of creators use AI) and Wistia (38% actively use AI in video production).
Nov 5, 2026: Added CMI's 2027 B2B trends report (861 B2B marketers, fielded June-August 2026): 88% say their organization uses AI-powered content creation tools. The 2026 report's 53% now links to an Internet Archive capture, because CMI's URL carries the 2027 report.
Nov 9, 2026: Re-sourced figures whose earlier link sat on a site that asks automated agents not to read it; each now cites an allowed copy carrying the same figure (the producer's own page or file elsewhere, or a named republication), with the excerpt re-checked.
Frequently asked questions
How many marketers use AI for video?
Anywhere from 18% to 99%, depending on the survey and the question. Wyzowl's 2026 survey found 63% of video marketers had used AI video tools to create or edit marketing videos. Wistia's 2026 report says more than a third of teams use AI in their video workflow, and HubSpot's 2026 survey found 42% of marketers use AI video or audio editing tools. All three companies sell into the video market.
How many businesses use AI?
In the U.S., 24.6% of employer businesses reported using AI in the Census Bureau's survey period of October 5 to 18, 2026, up from 19.8% in early May, and 46.4% in the Information sector. In the EU, 19.95% of enterprises with 10 or more employees used AI in 2025, and 9.55% used AI that generates pictures, videos or sound.
Will AI replace video editors?
The official projections do not show it yet. BLS projects employment of film and video editors to grow 3.7% from 2025 to 2035, slightly faster than the 3.5% for all occupations, and its 2025-35 projections apply no AI factor to editors. In a late-2023 industry survey, 75% of the entertainment-industry executives and managers surveyed said generative AI had supported the elimination, reduction or consolidation of jobs in their division.
Does YouTube demonetize AI-generated videos?
Not for using AI as such. YouTube's July 15, 2025 update renamed its 'repetitious content' policy 'inauthentic content'; YouTube calls it a minor update and says mass-produced or repetitive content was already ineligible. Its policy page names two AI cases that cannot earn money: AI-generated content made with generic or unoriginal templates, and channels that use AI-generated personas to give advice on health, legal issues, finances or politics. YouTube said in May 2026 that an AI label alone does not change how a video is recommended or whether it can earn money. Creators have had to disclose realistic altered or synthetic content since March 18, 2024.
How many AI videos are being made?
Company counts run to hundreds of millions: more than 600 million Kling videos by December 2025, over 275 million in Google's Flow by October 2025 and over 230 million with Veo 3 by late October 2025. None of these counts says how many were published or watched.
Can people tell when a video is AI-generated?
Most people doubt they can. 53% of U.S. adults are not confident they can detect whether something was made by AI, according to Pew Research Center, and only 30% of UK adults feel they can confidently judge whether an image, audio or video was AI-generated, according to Ofcom.
How many languages does YouTube auto dubbing support?
27, since February 4, 2026, when YouTube made auto dubbing available to everyone. It launched in December 2024 in eight languages to and from English. In December 2025 more than 6 million viewers a day watched at least 10 minutes of auto-dubbed content.
How often is this page updated?
Every figure is re-checked against its original source each quarter, and sooner when a major source publishes a new edition, such as Wyzowl's and Wistia's annual surveys, Adobe's and Kuaishou's quarterly results, or BLS's Employment Projections each late summer. The Last verified date changes only after that check, and each change is recorded in the change log.