AI Video Statistics 2026: Market Size, Platforms & Sora Data

Last Updated: July 26, 2026

The defining story of the AI video market in 2026 is not the technology advancing. It is the market restructuring after the most dramatic product failure in AI history.

OpenAI's Sora - launched publicly in September 2025 to extraordinary fanfare, 3.3 million downloads in November, and a planned $1 billion Disney licensing deal - shut down on March 24, 2026. It generated $2.1 million in revenue against estimated compute costs of $15 million per day. Disney, Paramount, and Marvel sent cease-and-desist letters. The Disney deal collapsed. OpenAI announced the shutdown less than an hour before Disney learned about it.

The three platforms left standing - Kling AI, Runway, and Google Veo - now dominate a market that grew through and after Sora's collapse. Kling AI crossed a $500 million annualized revenue run-rate in Q1 2026 per Kuaishou's earnings. Runway reported $40 million in new ARR for Q2 2026 alone. Google Veo integrated into Gemini Ultra as the primary consumer AI video product. ByteDance Seedance 2.0 launched in June 2026 and received cease-and-desist letters from Disney, Paramount, and the Motion Picture Association within 48 hours.

The global AI video generator market reached $847-946 million in 2026 per Fortune Business Insights and Grand View Research respectively. Including AI editing and post-production software, the broader market reaches $3.67 billion. 124 million people use AI video platforms every month. 78% of marketing teams use AI-generated video in at least one campaign per quarter. Production costs dropped 97% from 2020 to Q1 2026 - a project that cost $1,500 from a freelance videographer now renders for under $15.

This guide compiles every AI video statistic that matters in July 2026 - market size, platform data, adoption rates, production economics, the copyright crisis, and the detection problem that nobody has solved.

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Before citing any AI video market size figure, understanding which methodology produced it is essential. The numbers vary dramatically based on what is included.

The market size comparison:

The number to use for each purpose:

For pure AI video generation tool market: $847-946 million (Fortune Business Insights / Grand View Research). This is the most conservative and most directly comparable figure.

For the broader AI video category including editing software: $3.67 billion. This reflects the total market a software buyer would evaluate.

For total economic impact including advertising and content production: the Precedence Research long-range figure reflects the full downstream impact of AI video on the content economy.

The growth context:

AI video is growing 3.6x faster than the broader video editing software market. The video editing software market overall grows at 5.2% CAGR per Straits Research. AI video at 18-35% CAGR depending on methodology is the fastest-growing segment within the video production technology category. Source: Ngram AI Video Statistics

Text-to-video dominates:

Text-to-video accounts for 46.3% of all AI video generation - the dominant creation method by share. PowerPoint-to-video is the fastest-growing segment at 21.8% CAGR. Source: Fortune Business Insights via Ngram

For the broader generative AI media market including images and audio, our generative AI market statistics guide covers the full picture.

The AI video platform market restructured dramatically in the first half of 2026. Sora's collapse left Kling AI, Runway, and Google Veo as the three platforms with meaningful revenue and user scale.

The platform comparison:

Kling AI - the market leader:

Kling AI, developed by Chinese platform Kuaishou, is the clearest market leader by revenue and user scale in July 2026. Kuaishou's investor-relations release of January 13, 2026 discloses 60 million+ creators, 600 million+ videos generated, and 30,000+ enterprise partners as of December 2025. Kling's Q1 2026 earnings per South China Morning Post (May 27, 2026) showed revenue up more than 300% year-over-year to roughly RMB 650 million (~$90 million) for the quarter - an annualized run-rate of approximately $500 million. Kling topped App Store charts in 42 markets during Q1 2026, including Brazil and Germany.

Kling 3.0 introduced native 4K generation in April 2026 and Director Mode with up to six shots, scene-by-scene prompts, and character consistency. Kuaishou has filed for a potential $20 billion spinoff IPO. Source: Neodrop AI citing Kuaishou Q1 2026 earnings

Runway - the professional platform:

Runway generated $300 million in total revenue and carries a $5.3 billion valuation per AVB citing company data. Q2 2026 saw $40 million in new ARR - a single-quarter revenue addition that reflects strong enterprise demand following Sora's exit. Runway's Gen-4 and Gen-4.5 models are the current professional standard. Runway is simultaneously building "world models" - AI systems that understand the physical and causal structure of environments - as its long-term research bet beyond pure video generation. Source: Neodrop AI

Google Veo - the enterprise infrastructure play:

6 million videos were generated on Vertex AI within weeks of the June 2025 enterprise preview per Luma Labs AI Video Generation Statistics. Veo 3.1 is the current model, integrated into Gemini Ultra at $99.99/month - making it the most accessible consumer AI video product with a credible brand. Google's position is unique: Veo serves both enterprise via Vertex AI and consumers via Gemini, giving it distribution no standalone platform can match.

Synthesia and HeyGen - the B2B avatar market:

Synthesia now serves over 50,000 businesses globally including Microsoft, Reuters, Deloitte, and Amazon per Luma Labs. HeyGen crossed $100 million in ARR - the first AI avatar video platform to reach that milestone - driven by enterprise demand for personalized sales and marketing video at scale.

ByteDance Seedance 2.0 - the controversy:

ByteDance's Seedance 2.0 creates 20-second clips with synchronized audio in 8 languages and multi-shot coherence that competitors struggle to match. It launched in June 2026 and received cease-and-desist letters from Disney, Paramount, and the Motion Picture Association within 48 hours over intellectual property infringement concerns. Despite the legal pressure, Seedance represents ByteDance's most significant AI video capability and reflects the broader geopolitical dimension of the AI video market. Our AI social media statistics guide covers ByteDance's broader AI social strategy.

For company-specific data on the AI platforms building on top of video infrastructure, our OpenAI statistics guide covers OpenAI's video strategy and the Sora context in detail.

The Sora story is the most important case study in AI video economics and deserves its own section.

The timeline:

The economics:

Sora generated approximately $2.1 million in total revenue against estimated compute costs of $15 million per day per AI Empire Media citing WSJ reporting. The ratio of revenue to compute cost made the business model unviable regardless of user numbers. Consumer AI video apps built around social sharing face a monetization problem that production tools and APIs do not encounter - users generate content recreationally without paying proportionally to the compute consumed.

The Disney deal collapse:

Disney reportedly learned of the Sora shutdown less than one hour before it was publicly announced, per WSJ reporting. The $1 billion investment commitment and three-year licensing deal covering Disney, Marvel, Pixar, and Star Wars characters collapsed simultaneously. Disney said it would "continue to engage with AI platforms" - leaving the door open for future deals with surviving platforms. Source: TechFlow Post

The content problem:

Sora became notorious for generating copyrighted characters - Mario smoking, Pikachu ASMR, Naruto at the Krusty Krab, deepfakes of public figures. The platform positioned itself as a social network around AI creativity but could not enforce content policies at consumer scale. Legal threats from talent agencies, copyright holders, and studios compounded the compute economics problem.

The market impact:

Sora's exit fundamentally changed the competitive dynamics for the remaining platforms. Runway raised subscription prices. Google accelerated Veo's consumer product push. Kling targeted enterprise contracts that Sora had been pursuing. The addressable market became clearer to surviving players without a well-funded OpenAI product capable of upending pricing at any moment. Source: TechFlow Post analysis

The lesson:

The Sora failure reinforces what the broader data shows: consumer AI video apps built around social sharing have a monetization problem that production tools and APIs do not. Kling, Runway, Seedance, and Veo all sell to creators and developers who generate specific assets with economic intent. Sora tried to build a social experience around AI video creation - and people did not pay proportionally to the compute they consumed.

The headline adoption numbers:

The format breakdown:

Source: Fortune Business Insights via Ngram

By enterprise size:

Large enterprises hold 50.9% of the AI video market. Small and medium businesses hold 49.1% but are growing faster at 21.1% CAGR. Small businesses with under 50 employees represent 46% of all AI video platform sign-ups per Fortune Business Insights analysis. The SMB growth rate reflects declining tool costs making AI video accessible to teams that previously could not afford video production.

The adoption barrier:

The top adoption barrier is not cost - it is skills. 43% of marketers cite in-house skills as the primary barrier to AI video adoption per Wyzowl's 2026 research. Cost barriers have largely dissolved as production costs collapsed 97% since 2020. The bottleneck is now prompt crafting, workflow integration, and quality review - not budgets.

For broader context on AI adoption patterns across enterprise, our AI adoption statistics guide covers the full picture.

The production economics of AI video are the most dramatic cost reduction story in any AI application category.

The cost collapse:

Production costs dropped approximately 97% from 2020 to Q1 2026. A project that cost $1,500 from a freelance videographer now renders for under $15 using AI video tools. Source: Ngram AI Video Statistics

AI video tools reduce average production costs by 91% compared to traditional video production. Companies using AI video report 68% faster time-to-publish for video marketing campaigns. Source: Vivideo AI Video Statistics 2026

The timeline shift:

Traditional video production timeline for a 60-second marketing video: 2-4 weeks including concepting, scripting, shooting, editing, and revisions. AI video production timeline for equivalent output: 2-4 hours with current tools. This speed differential is what drove 78% marketing team adoption - not necessarily quality, but the ability to test concepts, iterate on messaging, and produce volume that traditional production could not support.

The quality ceiling:

AI video still struggles with temporal coherence over longer durations. Five to fifteen seconds is the practical quality sweet spot across most platforms. Longer generations (15-20 seconds) are possible with Kling 3.0 and Seedance 2.0 but quality and coherence tend to degrade past 10 seconds in most models per AI Unpacking's May 2026 platform review. This is the primary technical limitation separating AI video from replacing long-form production.

The compute economics:

Sora's failure illustrated the compute challenge. At $15 million in estimated daily compute costs against $2.1 million in total revenue, consumer social video cannot be financially sustainable without either dramatically reduced compute costs or dramatically different monetization. The platforms that survive are either: selling to businesses with clear economic intent (Kling enterprise, Synthesia, HeyGen), building on hyperscaler infrastructure with subsidized compute (Google Veo on Vertex AI), or maintaining tight cost control with smaller but paying user bases (Runway).

The engagement data:

The ROI reality check:

McKinsey's Global AI Survey 2026 found AI video creation delivers only 1.1x median ROI - among the lowest of any AI marketing application. This compares unfavorably to AI content drafting at 3.2x and personalization engines at 2.7x. Source: McKinsey Global AI Survey via Picmim

The low ROI reflects two factors: paid social platforms increasingly down-rank content that appears AI-generated, reducing its paid distribution effectiveness. And the consumer trust deficit - 50% of Gen Z have unfollowed accounts for posting what they believe is AI content per Sprout Social Q1 2026 - is most acute for AI video, which audiences are most sensitized to detecting.

Where AI video delivers strong ROI:

Business training and internal communications: Synthesia's 50,000+ enterprise customers report significant cost reduction in video-based training content. Traditional corporate training video cost $1,000-$5,000 per finished minute. AI avatar video brings this to $10-50 per minute.

Sales and marketing personalization: HeyGen's $100M ARR reflects genuine ROI from personalized video outreach - sales teams report higher response rates from AI-personalized video compared to text email equivalents.

Product demonstrations and explainers: Text-to-video at $15 per asset versus $1,500 for equivalent freelance production represents clear positive ROI even at 1.1x engagement lift.

For our complete AI ROI data across all applications, our AI productivity statistics guide covers the full picture.

The AI video copyright situation in July 2026 is genuinely unresolved and represents the most significant legal risk in the category.

The active legal landscape:

ByteDance Seedance 2.0 received cease-and-desist letters from Disney, Paramount, and the Motion Picture Association within 48 hours of its June 2026 launch over intellectual property infringement concerns. This is the most recent high-profile copyright action in AI video. Source: Our AI Business Weekly coverage of Seedance 2.0

Sora generated copyrighted characters at scale - Mario, Pikachu, Naruto - before its shutdown. Legal threats from studios were among the factors complicating the Disney licensing deal. Every major AI video platform faces ongoing litigation or regulatory scrutiny over training data sourcing.

The training data question:

The core legal question for every AI video model: was the video content used to train the model licensed for that purpose? Most models have been trained on web-scraped video content. Courts in the US and EU are actively adjudicating whether this constitutes copyright infringement. No definitive ruling has been issued in the US as of July 2026, but the litigation risk is real and affects licensing decisions for all enterprise buyers.

The disclosure gap:

Only about 12% of deepfake-based marketing content is openly disclosed as AI-made per Kapwing research - a fraction of what audiences now expect from brands. TikTok removed 51,618 unlabeled synthetic-media videos in H2 2025 alone. YouTube updated policies in early 2026 to require disclosure labels for all synthetically generated media.

The watermarking response:

OpenAI implemented C2PA metadata on Sora outputs before shutdown. Sora's help center documentation added visible and invisible provenance signals and moving watermarks with creator names. Google's Veo implements SynthID watermarking. The C2PA standard is gaining adoption across platforms as both a voluntary and increasingly regulatory-required provenance signal.

The safest commercial license:

Adobe Firefly Video is the current commercial license leader in AI video - trained on licensed Adobe Stock footage rather than web-scraped content. For client work and commercial production, Adobe Firefly is the only major AI video product that explicitly warranties the commercial use of its outputs. Source: AI Unpacking

For our complete coverage of AI copyright and content detection, our AI content detection guide covers the full picture.

The detection data for AI video is the most alarming in any AI media category.

The human detection failure:

A peer-reviewed study published in Communications of the ACM in September 2025 measured human accuracy at detecting AI-generated video at 50.7% on video-only stimuli - statistically indistinguishable from random guessing. Humans are essentially at coin-flip accuracy when trying to identify AI video without audio context. Source: Digital Applied citing Communications of the ACM

The platform detection gap:

TikTok's automatic AI video detection catches 35-45% of AI content by late 2025, up from 18% in early 2024 per Kapwing research. This means 55-65% of AI video on TikTok is undetected and unlabeled. YouTube updated policies early 2026 requiring disclosure labels - but enforcement depends on creator compliance and platform detection.

The deepfake scale:

Deepfake videos online jumped from approximately 500,000 in 2023 to an estimated 8 million by 2025 - a 16x increase per ElectroIQ. The average American encounters approximately 2.6 deepfakes per day per Veriff 2026 research. For our complete deepfake detection statistics, our AI cybersecurity statistics guide covers the full threat picture.

The trust consequence:

88% of consumers say AI video tools have decreased their trust in social media news per industry surveys. This trust deficit is the primary explanation for why AI video delivers only 1.1x ROI in paid social contexts despite 2.7x engagement lift in organic contexts. The engagement comes from curiosity and novelty; the trust deficit suppresses conversion.

Media and entertainment:

The most disrupted and most resistant industry simultaneously. Studios are fighting AI video in court while production companies experiment with it for pre-visualization, background generation, and VFX cost reduction. The Seedance and Sora copyright battles are entertainment industry confrontations. Animation studios face the most direct displacement risk as text-to-animation quality improves.

Marketing and advertising:

78% of marketing teams using AI video represents the clearest enterprise adoption story. The use case concentration is in short-form content (67% of AI video is under 60 seconds), social media assets, and ad creative testing. The 91% production cost reduction is most impactful for marketing teams that previously could not afford high-frequency video production.

Enterprise training and communications (24.8% of market):

Synthesia's 50,000+ enterprise customers demonstrate the strength of AI avatar video for internal use cases. Corporate training, onboarding, compliance training, and executive communications are the highest-adoption enterprise video categories. The commercial license clarity and no-audience-trust-issue (internal audiences accept AI presenter video more readily than consumers) make this the highest-ROI AI video application.

Education (19.7% of revenue in 2025):

Educational content creation and student engagement are growing AI video use cases. The same economics that benefit corporate training apply to educational content - high production costs, repetitive formats, and standardized content that AI can produce at volume.

Healthcare (10.2% of market):

Medical education, patient communication, and research visualization. Regulatory requirements around accuracy and disclosure make healthcare AI video adoption slower but the use cases are genuine - particularly patient instruction videos and medical training content.

Retail and e-commerce (17.6% of market):

Product video scales with catalog size - the fundamental problem of e-commerce video. A retailer with 10,000 SKUs cannot produce traditional product video for each. AI video that generates product demonstrations from product images and specifications addresses this directly. Growing at 28.4% CAGR through 2034.

North America:

North America held $293.8 million and 41% market share in 2025, projected at $349.7 million in 2026 per Fortune Business Insights. US agencies and brands are primary early adopters. The Sora collapse removed an American-led market leader from the consumer segment, creating an opening for non-US platforms. Source: Ngram

Asia-Pacific:

Asia-Pacific dominates AI video by platform revenue share when Chinese platforms (Kuaishou/Kling, ByteDance/Seedance, Hailuo MiniMax) are included. Growing at 28.7% CAGR from 2026 to 2034 - the fastest regional growth rate. Kling's 60 million creators and $500 million ARR are primarily driven by Asian user bases. The region generates AI video at massive scale - Kling alone processed 600 million videos from its creator base.

Europe:

$165.8 million in 2025 (23.1% of global market), projected to grow to $190.7 million in 2026. UK and Germany are the primary markets. The EU AI Act's disclosure requirements for synthetic media are the most stringent regulatory environment for AI video globally, affecting how European platforms must label and disclose AI-generated content.

The geopolitical dimension:

The AI video market has a significant geopolitical dimension that most market analysis understates. The three surviving major platforms after Sora's exit include two Western companies (Runway, Google Veo) and one Chinese company (Kling/Kuaishou). ByteDance Seedance 2.0 received immediate legal pressure from Hollywood studios. The AI video market is partly a US-China technology competition - and both sides are investing heavily.

Veo consumer expansion:

With Sora's exit, Google has the clearest path to consumer AI video leadership among Western platforms. Veo 3.1 integrated into Gemini Ultra is currently the only consumer AI video product from a major Western platform with both enterprise credibility and consumer distribution. Expect a more prominent consumer push through end-2026.

Kuaishou Kling IPO:

Kuaishou has filed for a potential $20 billion Kling spinoff IPO. If it proceeds, Kling would become the first AI video company to trade publicly - providing both valuation clarity and capital for continued infrastructure investment.

Runway world models:

Runway's parallel investment in "world models" - AI that understands the physical and causal structure of environments rather than just generating visual patterns - is the most ambitious long-term bet in AI video. If world models succeed, they enable AI video that understands physics, cause and effect, and narrative coherence at a level current diffusion models cannot approach.

The 90% projection:

Industry projections suggest 90% of all online video content will involve some form of AI assistance by 2030. This is not a claim that 90% of video will be fully AI-generated - it means AI will be involved in writing scripts, generating B-roll, enhancing footage, creating captions, and optimizing distribution for the vast majority of video content produced commercially.

For how AI video fits into the broader AI creative market, our AI social media statistics guide covers the consumer trust and disclosure picture in detail.

AI Social Media Statistics 2026
How AI video fits into social media - the 52% AI content figure, deepfake reach, and the Gen Z trust crisis.

AI Cybersecurity Statistics 2026
The deepfake threat picture - $11.3B in executive impersonation losses and the detection gap.

AI Content Detection: Can Google Detect AI Content?
Detection accuracy, false positive rates, and the copyright and disclosure landscape.

Generative AI Market Statistics 2026
The broader generative AI market context including images and audio.

AI Marketing Statistics 2026
How AI video fits into the complete marketing AI picture.

AI Productivity Statistics 2026
The ROI data - where AI video sits relative to other AI marketing investments.

AI Statistics 2026: The Complete Data Guide
The master hub for all AI statistics including the video market.

What Is AI Video Generation?
The foundational explainer on how AI video generation works.

What is the size of the AI video market in 2026?
The pure AI video generator market is valued at $847-946 million in 2026 per Fortune Business Insights and Grand View Research respectively - two of the most rigorous methodologies. Including AI editing and post-production software, the broader market reaches $3.67 billion, projected to hit $24.89 billion by 2036. AI video is growing 3.6x faster than the broader video editing software market at 5.2% CAGR. Text-to-video accounts for 46.3% of all AI video generation. 124 million people use AI video platforms monthly as of January 2026.

Why did Sora shut down?
OpenAI shut down the Sora consumer app on March 24, 2026, with the web and app ending April 26 and the API ending September 24, 2026. The primary reason was financial: Sora generated approximately $2.1 million in revenue against estimated compute costs of $15 million per day. Downloads peaked at 3.3 million in November 2025 then fell to 1.1 million by February 2026. The platform became notorious for generating copyrighted characters (Mario, Pikachu, Naruto) and deepfakes, drawing legal threats. A $1 billion Disney licensing deal and investment commitment collapsed with the shutdown - Disney reportedly learned about it less than one hour before the public announcement.

Which AI video platform is the market leader in 2026?
Kling AI, developed by Chinese platform Kuaishou, is the market leader by revenue and user scale. Kling has 60 million+ creators, 600 million+ videos generated, 30,000+ enterprise partners, and an annualized revenue run-rate of approximately $500 million as of Q1 2026 per Kuaishou earnings. Runway leads among Western platforms at $300 million in total revenue and a $5.3 billion valuation, with $40 million in new ARR added in Q2 2026 alone. Google Veo is the enterprise infrastructure leader through Vertex AI and the primary consumer AI video option through Gemini Ultra.

How much has AI reduced video production costs?
Production costs dropped approximately 97% from 2020 to Q1 2026. A project that cost $1,500 from a freelance videographer now renders for under $15 using AI video tools per Ngram's AI video statistics compilation. AI video tools reduce average production costs by 91% compared to traditional video production and enable 68% faster time-to-publish for video marketing campaigns. The top adoption barrier is no longer cost - 43% of marketers cite in-house skills as the primary barrier, not budget.

Can humans detect AI-generated video?
Barely. A peer-reviewed study in Communications of the ACM (September 2025) found human accuracy at detecting AI-generated video at 50.7% on video-only stimuli - statistically indistinguishable from random guessing. Without audio context, humans perform at essentially coin-flip accuracy. TikTok's automated AI video detection catches only 35-45% of AI content. The average American encounters approximately 2.6 deepfakes per day without necessarily knowing it per Veriff 2026 research.

What is the copyright situation for AI video in 2026?
Unresolved and actively litigated. ByteDance Seedance 2.0 received cease-and-desist letters from Disney, Paramount, and the Motion Picture Association within 48 hours of its June 2026 launch. Sora was shut down partly due to legal pressure over copyrighted character generation. The core question - whether training AI video models on web-scraped video constitutes copyright infringement - has not received a definitive US court ruling. For commercial use, Adobe Firefly Video has the cleanest commercial license, trained on licensed Adobe Stock footage with explicit warranties for commercial output use.

What percentage of marketing teams use AI video in 2026?
78% of marketing teams use AI-generated video in at least one campaign per quarter in 2026. 73% of Fortune 500 companies have integrated AI video tools into their content workflows. Short-form video under 60 seconds accounts for 67% of all AI-generated video content. Despite high adoption, AI video delivers only 1.1x median ROI in paid social contexts per McKinsey's Global AI Survey - the lowest ROI of any AI marketing application - because paid platforms down-rank AI content and consumer trust is declining.

What AI video tools are available after Sora shut down?
The main alternatives following Sora's March 2026 shutdown: Kling AI (market leader by revenue, 4K in Kling 3.0, free tier available), Google Veo 3.1 (enterprise via Vertex AI, consumer via Gemini Ultra), Runway Gen-4/Gen-4.5 (professional quality, $40M Q2 ARR), ByteDance Seedance 2.0 (multi-shot, synchronized audio, facing copyright challenges), Pika (free tier, strong for short clips), Luma Dream Machine (30M+ users), HeyGen (business avatar video, $100M ARR), and Synthesia (50,000+ enterprise customers). Adobe Firefly Video is the option with the cleanest commercial license for client work.

The AI video statistics of July 2026 tell a story shaped entirely by the year's most dramatic event: Sora's failure revealed that consumer AI video built around social sharing cannot be financially sustainable without dramatically lower compute costs or dramatically higher monetization.

The $2.1 million in revenue against $15 million per day in compute costs is the number every AI video investor, product manager, and strategist has been studying. The lesson is not that AI video cannot work commercially. It is that it works when it serves users with clear economic intent - businesses creating training content, marketers producing campaign assets, sales teams personalizing outreach - not recreational users sharing AI clips in a social network that does not have the monetization mechanisms to cover the compute costs.

The surviving platforms have internalized this lesson. Kling's 30,000+ enterprise partners. Runway's $40 million Q2 ARR from professional creators. Synthesia's 50,000 enterprise customers. HeyGen's $100 million in ARR from business video. All of these are B2B-or-prosumer stories with clear willingness to pay, not consumer social network experiments.

The copyright crisis remains genuinely unresolved. ByteDance's Seedance facing cease-and-desist letters within 48 hours of launch, Sora's copyrighted character problem, the ongoing training data litigation - these are structural challenges the industry has not solved. Adobe Firefly's licensed-data approach is the one clear answer, but it constrains the training data available and therefore the output quality ceiling.

The market will reach $3.67 billion including AI editing tools and $24.89 billion by 2036 if current CAGR holds. 124 million monthly users are already there. 90% of online video will involve AI assistance by 2030. The technology is real, the adoption is real, and the production economics are transformative.

What happens between now and 2030 will be determined by three factors: whether courts establish clear training data licensing rules, whether compute costs fall fast enough to make consumer AI video economically sustainable, and whether consumer trust in AI video recovers or continues declining. The 50.7% human detection rate - essentially coin-flip accuracy - means audiences cannot reliably identify AI video. Whether that helps or hurts the industry depends entirely on how platforms and brands handle disclosure.