AI in Marketing Stats 2026
Most AI marketing statistics you find online have no source attached. A number gets quoted in a blog post, the blog post gets quoted somewhere else, and after three hops nobody can tell you who collected the data or when. We got tired of that, so this page only carries numbers we traced back to the organization that ran the study.
Every figure below names the publisher, the sample, and the dates the data was collected. If we could not find the original, we left the number out. We update this page quarterly. Last updated October 2026.
How much of marketing now runs on AI
The CMO Survey, run by Duke University's Fuqua School of Business, asked US marketing leaders in January 2026 how much of their work involves AI.
AI and machine learning are used in 24.2% of marketing activities, up from 13.1% in 2024.
Generative AI alone went from 7.0% to 22.4% of marketing activities over those same two years, growth of 220%.
Those leaders project AI will account for 55.9% of marketing activities within three years.
AI is credited with a 14.6% reduction in marketing overhead costs.
Source: The CMO Survey Highlights and Insights Report, fielded January 7 to 29, 2026. 2,111 marketing leaders at for-profit US companies were invited and 308 responded.
Read that first number next to the third one. A quarter of the work today, and these same people expect more than half within three years. The planning question is what happens to review, measurement and accountability when the volume doubles.
What marketers are spending on AI
Gartner surveyed 401 CMOs and other marketing leaders in North America, the UK and Europe, most of them at companies with over $1 billion in annual revenue.
CMOs allocate an average of 15.3% of marketing budgets to AI initiatives.
70% of CMOs say becoming an AI leader is a critical goal for 2026.
Marketing budgets came in at 7.8% of company revenue in 2026, up from 7.7% in 2025.
At organizations Gartner rates as AI ready, CMOs put 21.3% of marketing budgets into AI, and their total marketing budgets run at 8.9% of revenue.
Source: Gartner 2026 CMO Spend Survey, conducted January through March 2026, published May 11, 2026.
The AI line item is growing inside a budget that is effectively flat. Every dollar that moves into AI comes out of something else, which is why the question of what the spend returned is getting asked earlier than it used to.
How many companies are getting value out of it
McKinsey runs a global AI survey across functions and regions, and it is the best available read on whether the spending is landing.
Nearly nine in ten respondents report regular use of AI in at least one business function.
37% say AI has contributed positively to their organization's EBIT. McKinsey calls that essentially unchanged from 2025.
AI high performers, meaning companies attributing at least 5% of EBIT to AI and reporting significant value, account for 6% of respondents. Also unchanged from 2025.
44% report that AI is scaling across their enterprise, up from 38% a year ago.
Among respondents at organizations above $1 billion in revenue, 40% report scaling AI agents, up from 27% last year. At smaller organizations the figure stayed flat at 22%.
McKinsey also reports that revenue gains are most often attributed to AI in marketing and sales, ahead of product and service development and software engineering.
Source: McKinsey, The State of AI: Global Survey, 1,719 participants in 97 nations, in the field May 4 to June 8, 2026, published August 25, 2026.
Adoption is near universal and value capture is stuck at 6%. That is the single most useful pair of numbers in this entire page.
Where AI shows up in advertising
IAB, with Sonata Insights, surveyed US ad industry executives and US Gen Z and Millennial consumers.
83% of executives say their company has deployed AI in the creative process, up from 60% in 2024.
Cost efficiency is the most cited benefit at 64%, up from fifth place in 2024. Creative innovation slipped to 61% from 64%.
Share of advertisers using AI for ads by channel: social media 85%, display 73%, TV 56%, audio 42%.
89% of advertisers who use generative AI disclose it at least sometimes. Fewer than half always do.
Source: IAB and Sonata Insights, The AI Ad Gap Widens, fielded October 2025 to January 2026 among 505 US Gen Z and Millennial consumers and 104 US ad industry executives, published January 15, 2026.
On spend, EMARKETER forecasts that more than 80% of AI advertising in 2026 will appear next to AI content, such as a standard search ad running beside an AI Overview, rather than inside a chatbot. It also projects US AI ad spending will more than double from $32 billion in 2026 to $68.25 billion in 2030.
Source: EMARKETER, US AI Advertising Forecast 2026, published June 4, 2026.
The gap between what marketers believe and what consumers believe
This is from the same IAB study, and it is the finding most worth sitting with.
82% of ad executives believe Gen Z and Millennial consumers feel very or somewhat positive about AI-generated ads. 45% of those consumers say they do.
The gap between the two widened from 32 points in 2024 to 37 points in 2026.
71% of consumers think they have seen an AI-generated ad, up from 54% in 2024.
Gen Z consumers are roughly twice as likely as Millennials to feel negative about AI ads, 39% against 20%.
73% of Gen Z and Millennial consumers said knowing an ad was AI-created would either increase or not change how likely they are to buy.
Two things are true at once here. Most people will still buy from a brand whose ad was made with AI. And the industry is considerably more comfortable with AI creative than its audience is. The work that lands and the work that grates look similar in a brief and different on a feed, which is an argument for measuring at the level of what is inside the asset.
What is slowing it down
Gartner found that only 30% of CMOs report mature or fully developed AI readiness capabilities, and 70% acknowledge their internal marketing processes are not yet mature enough. 56% say their marketing organization lacks the budget required to deliver its 2026 strategy, and 54% report insufficient resources.
The CMO Survey ranked the barriers to getting value out of marketing technology:
Lack of budget and funding resources, 20.1%
Technology integration and data architecture, 19.1%
Bandwidth, time and focus within the company, 14.1%
Talent management, covering acquisition, training and retention, 13.1%
The same report notes that no marketing technology activity scores above 5 on a 7-point performance scale.
Technology integration and data architecture sitting second is the part most teams underestimate. Creative lives in one system, spend lives in another, and performance lives in five platform dashboards that each define a conversion differently. Our write-up on why the data substrate matters covers what that costs you downstream.
What these numbers add up to
Making creative got cheap. Knowing which creative worked did not. That is the whole story of 2026 in two sentences, and every credible dataset above points at it from a different angle.
If you want to go deeper on the measurement side, start with Creative Performance Measurement: The Complete Guide, then What Is Creative Intelligence? A Plain-English Guide for how the category is shaping up. If you are evaluating vendors, The Best Creative Analytics Tools in 2026, Compared runs through the options. And the oldest version of this problem is still worth reading about in Half the Money I Spend on Advertising Is Wasted.
Frequently asked questions
How much of marketing is done with AI in 2026?
AI and machine learning are used in 24.2% of marketing activities, according to The CMO Survey's January 2026 data. Generative AI on its own accounts for 22.4%. The marketing leaders surveyed expect AI to reach 55.9% of marketing activities within three years.
How much of a marketing budget goes to AI in 2026?
An average of 15.3%, per the Gartner 2026 CMO Spend Survey of 401 marketing leaders. Organizations Gartner rates as AI ready spend more, at 21.3%. Total marketing budgets are 7.8% of company revenue, so the AI line is growing inside a budget that is not.
Are companies making money from AI in marketing?
Some are. In McKinsey's 2026 global AI survey, 37% of respondents said AI contributed positively to EBIT, and only 6% qualified as high performers attributing at least 5% of EBIT to AI. Both figures were unchanged from 2025, even as adoption kept climbing.
Do consumers like AI-generated ads?
Less than the industry assumes. IAB found 82% of ad executives believe Gen Z and Millennial consumers feel positive about AI-generated ads, while 45% of those consumers say they do. At the same time, 73% said knowing an ad was AI-made would increase or not change their likelihood to buy, so the picture is a perception gap rather than a boycott.
What is the biggest barrier to using AI in marketing?
Budget comes first at 20.1%, with technology integration and data architecture a close second at 19.1%, according to The CMO Survey. Gartner's version of the same question shows 70% of CMOs saying their internal processes are not mature enough to support AI at scale.
Why do AI marketing statistics vary so much between sources?
Because the samples differ. Gartner surveys CMOs at billion-dollar companies, The CMO Survey covers a broader set of US firms, McKinsey asks across every business function, and IAB splits marketers from consumers. A statistic without its sample and date attached is not usable, which is why each number on this page carries both.
How often is this page updated?
Quarterly. Numbers are replaced when the publishing organization releases new data, and we note the collection dates so you can see how current each figure is.
See where your own creative stands
mktg.ai reads the creative you have live and connects performance to the elements inside each asset, so the next brief gets written from evidence rather than instinct. It works across TikTok, Meta, Google, LinkedIn and The Trade Desk, which means the comparison happens in one place instead of five dashboards.
Book a demo and we will walk you through it.
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