119 AI Marketing Statistics October 2026

AI marketing statistics for 2026 tell two stories at once. Inside marketing teams, AI is now ordinary: 91% of marketers say they actively use it at work, up from 63% a year earlier (Jasper, The State of AI in Marketing 2026, Jan 2026). Outside, the people those teams sell to are less sure. Half of US consumers say they would rather give their business to brands that don't use generative AI in their messages, ads and content (Gartner, Mar 2026).

The gap between those two numbers is where most of the data below sits. The page covers how far AI has spread through marketing work, where the budget goes, how ad platforms now run campaigns, how consumers react to AI-made ads, the rules that started to bite in 2025 and 2026, and what marketers can prove AI returns. Each figure links to the organisation that collected it, carries the date of its data and was checked on the live source. Nothing is copied from another statistics roundup, and the page is refreshed every month.

How far has AI spread through marketing teams?

Nearly every marketing team uses AI now, yet AI still does only a minority of the actual work. The interesting numbers are no longer about whether teams use it, but how much they hand over.

How many marketers use AI at work now?

Almost all of them use it in some form, and most have moved past testing tools into daily workflows. Company-wide rollout lags well behind individual use.

• 34.70% of EU enterprises that use AI apply it to marketing or sales, the most common purpose in the survey (Eurostat, Dec 2025).
• In manufacturing, marketing and sales is also the top use of AI, named by 30.41% of AI-using firms (Eurostat, Dec 2025).
• 70% of marketers already use generative AI to work more efficiently, and 33% say their team lacks the skills to use it (Kantar, Mar 2026).
• 53% of professionals say they have moved into the integration or transformation phase of AI use, up from 43% in the 2025 survey (SmarterX, 2026 State of AI for Business, May 2026).
• Only 25% of organisations have reached the scaling phase, while 47% are still piloting and 28% are at the understanding stage (SmarterX, May 2026).

Which marketing tasks does AI handle most?

Personalisation, measurement and targeting lead once content creation is set aside. Programmatic media buying went the other way. (For AI in content production, see the content marketing statistics.)

• 65.4% of companies use AI for content personalisation, up from 52.8% in fall 2023 (The CMO Survey, Apr 2026).
• 46.3% use AI for data analysis and reporting, the second-fastest-growing use at +21.5 points since fall 2023 (The CMO Survey, Apr 2026).
• 45.2% use AI for targeting decisions and 35.6% for customer segmentation (The CMO Survey, Apr 2026).
• 39.9% of companies use conversational AI such as chatbots and virtual assistants for customer service (The CMO Survey, Topline Report, Mar 2026).
• Programmatic advertising and media buying is one of the few AI uses that shrank, from 35.0% in fall 2023 to 32.4% (The CMO Survey, Apr 2026).
• 28.2% use AI for listening and sentiment analysis, double the 14.2% of fall 2023 (The CMO Survey, Apr 2026).

How much of marketing work will AI do by 2028?

Marketers expect the share to more than double, and tech companies are furthest ahead. Fully online businesses use AI almost twice as much as companies with limited online sales.

• Tech, software and platform companies use AI or machine learning in 36.1% of marketing activities and project 68.4% within three years (The CMO Survey, Apr 2026).
• Consumer services companies report 32.5% today and expect 65% (The CMO Survey, Apr 2026).
• Fully online companies use AI in 31.4% of marketing activities, against 17.5% for companies with limited online sales (The CMO Survey, Apr 2026).
• Consumer services companies use generative AI most, in 38.3% of marketing activities, while mining and construction use it in 8.7% (The CMO Survey, Apr 2026).
• 9.6% of companies already use autonomous systems in marketing, up from 2.8% in fall 2023 (The CMO Survey, Apr 2026).

Where are marketing teams putting their AI money?

AI now sets the agenda for media budgets, but most of the money still goes into making existing work faster rather than into new kinds of marketing. Measurement is the area where buyers expect the clearest payback.

What do ad buyers prioritise for AI in 2026?

AI tops the list. Five of the six areas where US ad buyers plan to spend more time and money in 2026 are about AI.

• 78% of ad buyers plan to focus more on generative AI in media campaigns in 2026, up from 62% for 2025 (IAB, 2026 Outlook Study, Jan 2026).
• 73% will focus more on optimising content for AI-generated answers, a category IAB added this year (IAB, 2026 Outlook Study, Jan 2026).
• 66% plan to focus more on agentic AI for ad buying and campaign execution, and 96% are aware of it (IAB, 2026 Outlook Study, Jan 2026).
• 63% will put more into using AI as an end-to-end solution (IAB, 2026 Outlook Study, Jan 2026).
• The top media investment challenge is adapting to AI-driven and social-first consumer behaviour, named by 44% of buyers, up from 40% (IAB, 2026 Outlook Study, Jan 2026).
• 38% of buyers struggle to understand how generative AI is used in media campaigns, up 14 points since 2024 (IAB, 2026 Outlook Study, Jan 2026).
• More than 70% of marketers value AI predictions for assessing ad creative that would otherwise go untested (Kantar, US Media Reactions 2025, Sep 2025).

How much value could AI add to marketing measurement?

IAB puts it in the tens of billions of dollars, mostly from media money that better measurement would free up.

• AI could help unlock $32 billion in 1 to 2 years: $26 billion in media investment and $6 billion in productivity (IAB and BWG Strategy, State of Data 2026, Feb 2026).
• Marketers expect AI to raise how often they measure by 2 to 3 times (IAB and BWG Strategy, Feb 2026).
• 49% of buy-side teams already scale AI in advanced measurement and 27% are at proof of concept (IAB and BWG Strategy, Feb 2026).
• 69% of analytics teams scale AI in measurement, against 30% of planning teams (IAB and BWG Strategy, Feb 2026).
• Up to 75% of the buy-side say leading measurement methods underperform on rigour, timeliness, trust and efficiency (IAB and BWG Strategy, Feb 2026).

Which AI investments do companies rank first?

Customer experience comes first, internal efficiency second. The infrastructure for generative AI is mostly in place. The infrastructure for agents is not.

• 56% of organisations name more personalised customer experiences as an AI investment priority, 46% customer satisfaction and loyalty, and 45% automating repetitive tasks (Adobe, 2026 AI and Digital Trends, Feb 2026).
• 89% of organisations have the cloud technology to support generative AI, but only 51% have it for agentic AI (Adobe, 2026 AI and Digital Trends, Feb 2026).
• 74% of professionals call AI critically or very important to their success in the next 12 months, rising to 89% of CEOs and founders (SmarterX, May 2026).
• Lack of budget is the biggest barrier to getting value from marketing technology, cited by 20.1% of marketers, ahead of integration and data architecture at 19.1% (The CMO Survey, Apr 2026).
• Bandwidth, time and focus (14.1%) and talent management (13.1%) are the next biggest barriers (The CMO Survey, Apr 2026).

How is AI changing advertising?

The ad platforms now do most of the work that media buyers used to do by hand. The advertiser sets a goal and a budget, and AI picks the audience, the placement and more and more of the creative.

How many advertisers use AI to make and place ads?

Most do, at least in part. Social and display lead, and AI creative tools have reached small businesses through the ad platforms themselves.

• Advertisers that use AI for ads apply it most to social media ads (85%) and display (73%), followed by TV (56%) and audio (42%) (IAB, Jan 2026).
• Cost efficiency is now the top reason advertisers give for using AI, cited by 64%, up from fifth place in 2024 (IAB, Jan 2026).
• 61% of ad executives cite creative innovation as a benefit of AI, down from 64% in 2024 (IAB, Jan 2026).
• Over half of Google's small and medium-sized ad customers worldwide use AI to create or optimise their creatives (Alphabet, Q2 2026 earnings call, Jul 2026).
• Over 70% of marketers embrace generative AI for advertising creativity, and 40% put it among their top three priorities (Kantar, US Media Reactions 2025, Sep 2025).

Which ad buying jobs will advertisers hand to AI agents?

Analysis and optimisation, yes. Negotiating the deal, much less. Buyers keep people on the relationship and high-risk decisions.

• 93% of buyers aware of agentic AI already use or are likely to use it for performance analysis and outcome insights (IAB, 2026 Outlook Study, Jan 2026).
• 91% would use AI agents for creative testing, selection or optimisation (IAB, 2026 Outlook Study, Jan 2026).
• 82% would use them for budget allocation, pacing and optimisation, and 79% for campaign decisions and troubleshooting (IAB, 2026 Outlook Study, Jan 2026).
• Only 57% would let agents execute and negotiate programmatic deals, and 45% direct insertion-order deals (IAB, 2026 Outlook Study, Jan 2026).

Do AI-made and AI-run ads perform better?

The platforms report clear gains from AI-run targeting. AI-made creative is more mixed: it can beat stock photos, but on average it tests worse than ads made without it.

• Meta's new ad ranking and user understanding models lifted ad clicks by 8.3% and conversions by 15.7% on Facebook in Q2 2026 (Meta, Q2 2026 earnings call, Jul 2026).
• Early pilots that used large language models to understand user preferences raised app event conversions on Instagram by 1% (Meta, Q2 2026 earnings call, Jul 2026).
• In 254,400 human ratings, the best AI-generated marketing images surpassed human-made images on quality, realism and aesthetics (Hartmann, Exner and Domdey, Mar 2025).
• 40% of consumers view polished, professional AI ads positively (DoubleVerify, Global Insights 2026, Jul 2026).

How do consumers feel about AI in ads?

Consumers are warier than marketers think, and the gap is getting wider, not narrower. Disclosure helps more than it hurts.

Do consumers like ads made with AI?

About half do. Marketers are much keener, and young consumers are split, with Gen Z far more negative than Millennials.

• The gap between how advertisers think consumers feel about AI ads and how they actually feel grew from 32 points in 2024 to 37 points in 2026 (IAB, Jan 2026).
• 39% of Gen Z consumers feel negative about AI ads, nearly double the 20% of Millennials (IAB, Jan 2026).
• 71% of Gen Z and Millennial consumers believe they have seen an ad made with AI, up from 54% in 2024 (IAB, Jan 2026).
• 51% of consumers worldwide feel excited about AI in ads, against 63% of marketers (Kantar, Mar 2026).
• 48% of consumers say they like seeing AI-generated images in ads (Kantar, Mar 2026).
• 56% of consumers feel positive about generative AI overall, up from 47% a year earlier, while 75% of marketers do (Kantar, Mar 2026).
• 63% of consumers globally say AI tools such as search summaries, chatbots and recommendations improve their online experience, but only 50% in North America (DoubleVerify, Global Insights 2026, Jul 2026).

Should brands disclose AI in their ads?

The data says yes. Most consumers want labels on fully AI-made ads, few would buy less because of one, and many walk away when they find out later.

• 89% of advertisers who use generative AI in ads disclose it at least sometimes, but fewer than half always do (IAB, Jan 2026).
• 73% of Gen Z and Millennial consumers say knowing an ad was made with AI would raise or not change their likelihood to buy (IAB, Jan 2026).
• More than half of consumers want advertisers to disclose when an ad is 100% AI-generated or uses AI images or video (IAB, Jan 2026).
• A third of customers say they would stop interacting with a brand if they found its content was AI-generated rather than made by people (Adobe, 2026 AI and Digital Trends Consumer Report, Mar 2026).
• 37% would disengage if they learned they were dealing with AI when they expected a person (Adobe, 2026 AI and Digital Trends Consumer Report, Mar 2026).
• Only one in five customers say they can reliably detect AI in their interactions with brands (Adobe, 2026 AI and Digital Trends, Feb 2026).
• 56% of consumers say they cannot consistently identify AI-generated content (DoubleVerify, Global Insights 2026, Jul 2026).
• Organisations rank clear disclosure of AI interactions (68%) and easy escalation to a human (61%) as the top ways to build trust in AI agents (Adobe, 2026 AI and Digital Trends, Feb 2026).

Can AI ads hurt how people see a brand?

Yes, when the ads look cheap or fake. Consumers are about twice as likely as advertisers to call a brand that uses AI ads manipulative or unethical.

• 20% of consumers describe brands that use AI to make ads as manipulative, against 10% of ad executives (IAB, Jan 2026).
• 16% of consumers call such brands unethical, against 7% of ad executives (IAB, Jan 2026).
• The share of consumers who see AI-using brands as innovative fell from 30% in 2024 to 23%, while the share of advertisers who think so rose from 40% to 49% (IAB, Jan 2026).
• 30% of Gen Z consumers call brands that use AI in ads inauthentic, against 13% of Millennials (IAB, Jan 2026).
• 42% of consumers say low-quality or uncanny AI advertising would hurt their opinion of the brand (DoubleVerify, Global Insights 2026, Jul 2026).
• 57% of consumers are concerned about fake or misleading AI-generated ads (Kantar, Mar 2026).
• Among Gen Z and Millennials, 57% say generative AI has made content quality worse (Gartner, Jun 2026).
• 61% of US consumers say they often question whether the information they use for everyday decisions is reliable (Gartner, Mar 2026).

What risks and rules come with AI marketing?

The cost of careless AI use is moving from reputation to law. Regulators in the EU, China and New York now require labels, and buyers write AI rules into their agency contracts.

How exposed are brands to low-quality AI content?

More than most marketers would like. AI-generated sites multiply quickly, and many marketers worry about where AI places their ads and what AI puts in them.

• 53% of marketers are concerned about their ads appearing next to low-quality AI content, against 45% for high-quality AI content (DoubleVerify, Global Insights 2026, Jul 2026).
• 48% of marketers are concerned about using AI to build ad creative, rising to 63% in North America (DoubleVerify, Global Insights 2026, Jul 2026).
• Half of marketers are concerned about serving ads inside AI chat platforms, while 46% of consumers worldwide view such ads positively, falling to 34% in North America (DoubleVerify, Global Insights 2026, Jul 2026).
• 19% of B2B buyers who use generative AI tools feel less confident in their purchase decisions because of inaccurate or unreliable information from those tools (Forrester, Oct 2025).
• Forrester predicts that B2B companies will lose more than $10 billion in enterprise value in 2026 from incidents caused by ungoverned use of generative AI (Forrester, Oct 2025).
• 51% of buy-side marketers expect legal, governance and compliance problems to be a significant or critical AI challenge in the next 1 to 2 years, and 49% expect problems with AI accuracy and transparency (IAB and BWG Strategy, Feb 2026).

What laws now govern AI in advertising?

Labelling rules arrived in three big markets within a year, and the US regulator has been bringing cases since 2024.

• About 190 companies and organisations had signed the EU's code of practice on marking and labelling AI-generated content by the end of July 2026 (European Commission, Jul 2026).
• China's rules requiring explicit and hidden labels on AI-generated content took effect on 1 September 2025 (Cyberspace Administration of China, Mar 2025).
• New York requires ads to disclose synthetic performers, with a $1,000 civil penalty for a first violation and $5,000 for each later one (New York State Senate, S8420-A, Dec 2025).
• The FTC's Operation AI Comply began with five enforcement actions against companies that used AI hype or AI tools to deceive consumers, including a tool that generated fake reviews (Federal Trade Commission, Sep 2024).

How ready are teams to govern AI?

Not very. A third of organisations have none of the basic governance documents, and most staff get no AI training. Contracts are filling the gap.

• 32% of organisations have none of the four AI governance basics in place (SmarterX, May 2026).
• Only 29% of organisations have an AI roadmap, 39% an AI council and 48% a generative AI policy (SmarterX, May 2026).
• 32% of professionals say their organisation offers no AI training, and 18% say training is still being developed (SmarterX, May 2026).
• AI clauses already appear in 37% of brand-agency and partner contracts, and buyers expect that share to reach 70% to 80% within 1 to 2 years (IAB and BWG Strategy, Feb 2026).
• 27% of buy-side marketers say their brand-agency or partner agreements already include staffing reduction goals tied to AI deployment (IAB and BWG Strategy, Feb 2026).
• On a 7-point scale, companies rate themselves 3.8 at minimising bias and ensuring fairness in generative AI marketing, and 3.7 at hiring the talent to use it (The CMO Survey, Apr 2026).

Is AI paying off for marketers?

Productivity gains are real and growing. Proof of revenue is harder to come by, and fewer teams can show it than a year ago.

What returns do marketers report from AI?

Mostly productivity and lower costs, with revenue gains concentrated in marketing and sales. Teams that changed how they measure AI report the strongest returns.

• Companies report that AI in marketing improved sales productivity by 14.1% in 2026, up from 8.6% in 2025 (The CMO Survey, Apr 2026).
• They report a 10.8% rise in customer satisfaction and a 14.6% cut in marketing overhead costs from AI (The CMO Survey, Apr 2026).
• 60% of marketing teams that changed how they measure AI report returns of 2 to 3 times or more (Jasper, Jan 2026).
• Organisations using generative AI report improvements in employee productivity (69%) and revenue growth (65%) (Adobe, 2026 AI and Digital Trends, Feb 2026).
• Respondents most often attribute revenue gains from AI to its use in marketing and sales, ahead of product development and software engineering (McKinsey, The State of AI 2026, Aug 2026).
• 75% of marketers with AI are satisfied with their ability to connect customer touchpoints, against 60% of those without it (Salesforce, Feb 2026).
• 48% of marketers have not yet worked out how to adapt their strategies to the widespread use of AI (Salesforce, Feb 2026).

How is AI changing marketing jobs?

AI is reshaping marketing roles more than it is cutting them. Federal projections still show marketing jobs growing faster than average.

• Nearly one-third of marketing leaders have redesigned roles because of automation (Gartner, Sep 2026).
• The share of companies reporting fewer employees in marketing and sales because of AI is about half the share that predicted such cuts a year earlier (McKinsey, The State of AI 2026, Aug 2026).
• 71% of professionals believe AI will eliminate more jobs than it creates, but only 20% are worried about their own role (SmarterX, May 2026).
• 65% of marketing teams now have designated AI roles, often in AI operations, workflows or strategy (Jasper, Jan 2026).
• 8% of marketing and PR job postings require AI skills, and that share grows 50% a year (Lightcast, Jul 2025).
• Employment of advertising, promotions and marketing managers is projected to grow 6% from 2025 to 2035, faster than average, with about 36,300 openings a year (US Bureau of Labor Statistics, Aug 2026).
• Market research analyst jobs are projected to grow 7% over the same decade, with about 82,000 openings a year (US Bureau of Labor Statistics, Aug 2026).

How far have AI agents got in marketing?

Marketers trust agents more than their customers do, and very few companies run them across the whole organisation yet.

• 81% of marketers would trust AI to respond to customers to help them scale (Salesforce, Feb 2026).
• High-performing marketing teams are twice as likely as underperformers to use AI agents (Salesforce, Feb 2026).
• Only 16% of organisations have embedded agentic AI company-wide for customer support, and 13% for brand discovery and search (Adobe, 2026 AI and Digital Trends, Feb 2026).
• 49% of organisations believe customers will eventually want AI agents as their main way to deal with brands, but only 19% of customers agree (Adobe, 2026 AI and Digital Trends, Feb 2026).
• 43% of customers would be willing to try a brand's AI concierge or agent if it were offered (Adobe, 2026 AI and Digital Trends Consumer Report, Mar 2026).

Methodology and Sources

Every statistic on this page was traced to the organisation that ran the survey, analysis or filing, and checked on the live source page or document on 5 October 2026: the page loads, the number is on it, and the date matches. We don't cite statistics roundups or reports that repeat other people's numbers. Vendor research (Jasper, SmarterX, Adobe, Salesforce, DoubleVerify, Kantar, NewsGuard, Lightcast) is cited when the vendor collected the data itself, and platform figures from Alphabet and Meta come from their own earnings calls, so they describe each platform's own results. Survey populations differ: The CMO Survey covers US for-profit companies, Eurostat covers EU enterprises with 10 or more employees, IAB's AI ad study surveyed 505 US Gen Z and Millennial consumers and 104 ad executives between October 2025 and January 2026, and SmarterX surveyed more than 2,100 professionals, so their figures are shown separately rather than combined. The IAB State of Data 2026 report is linked to the PDF IAB distributed through MediaPost because IAB's own download page is gated. Figures for AI in content creation and AI search are on our content marketing statistics and AI search statistics pages, and the wider picture is on the SEO statistics page. This page is refreshed monthly as new editions come out.

Sources

• The CMO Survey, Highlights and Insights Report 2026
• The CMO Survey, Topline Report 2026
• IAB and Sonata Insights, The AI Ad Gap Widens
• IAB, AI Transparency and Disclosure Framework release
• IAB, 2026 Outlook Study
• IAB and BWG Strategy, State of Data 2026: The AI-Powered Measurement Transformation
• Gartner, 50% of consumers prefer brands that avoid GenAI in consumer-facing content
• Gartner, 49% of US consumers say GenAI has made content quality worse
• Gartner, AI will let high-performing marketing teams remove the bottom rungs of the ladder
• Jasper, The State of AI in Marketing 2026
• SmarterX, 2026 State of AI for Business
• Kantar, The state of GenAI in media and advertising
• Kantar, US Media Reactions 2025
• Adobe, 2026 AI and Digital Trends
• Adobe, 2026 AI and Digital Trends Consumer Report
• Salesforce, State of Marketing, tenth edition
• Salesforce, 5 hard truths from the tenth State of Marketing report
• Eurostat, Use of artificial intelligence in enterprises
• Alphabet, Q2 2026 earnings call
• Meta, Q2 2026 earnings call transcript
• Hartmann, Exner and Domdey, The power of generative marketing, International Journal of Research in Marketing
• DoubleVerify, Global Insights 2026: Media Quality in the Age of AI
• NewsGuard, AI Tracking Center
• Forrester, 2026 B2B Marketing, Sales and Product Predictions
• European Union, Regulation (EU) 2024/1689 (AI Act)
• European Commission, Code of Practice on Transparency of AI-generated Content
• Cyberspace Administration of China, Measures for Labeling AI-Generated Synthetic Content
• New York State Senate, Bill S8420-A
• Federal Trade Commission, Operation AI Comply
• McKinsey, The State of AI 2026
• Lightcast, Beyond the Buzz: AI skills report
• US Bureau of Labor Statistics, Advertising, Promotions, and Marketing Managers
• US Bureau of Labor Statistics, Market Research Analysts

Glossary

• AI agent (agentic AI): AI software that carries out a multi-step task on its own, such as adjusting a campaign budget, instead of only answering a prompt.
• Generative AI (GenAI): AI that creates text, images, video or audio from a prompt.
• CMO: chief marketing officer.
• Martech: marketing technology, the software marketing teams use to run campaigns and measure them.
• Programmatic advertising: buying digital ad space automatically, in real time, through software.
• MMM: media mix modelling, a statistical method that estimates how much each channel contributes to sales.
• ROAS: return on ad spend, revenue earned per unit of ad spend.
• SMB: small and medium-sized business.
• Insertion order (I/O): a direct, signed ad buy between an advertiser and a publisher, as opposed to a programmatic one.
• AI content farm: a website that publishes mostly AI-generated articles with little or no human oversight, usually to earn ad revenue.