AI Marketing Statistics 2026: Adoption, Spend and Results

AI in Marketing Statistics: Adoption, Spend and Results

Business owners often ask me some version of this: “Is everyone else really using AI for marketing, or is it mostly hype?” It is a sensible question. You see big claims on LinkedIn every day, and many of them come with numbers that have no date, no source and no sample size.

So I put together a roundup of AI-in-marketing statistics that I could actually trace. Every number below comes from a page I opened, is dated, and is linked so you can check it yourself. Where a number is reported second-hand, I say so.

This post covers marketing in general: adoption, budgets, productivity, content, consumer attitudes and risks. If you want numbers on AI search and citations specifically, I keep those in a separate roundup of AI SEO statistics.

How I picked and checked these AI marketing statistics

There are thousands of “AI statistics” pages online, and many copy each other. I used a few simple rules to keep this list honest.

Traceable. I only included numbers I could read on the source page, or on a named report of that source.
Dated. Each statistic shows when it was published or when the survey ran. In a field moving this fast, a 2023 number can be badly out of date.
Sample stated. Where the source gives a sample size and region, I include it, because “85% of marketers” means little if you do not know which marketers.
Second-hand flagged. When I read a study through a news site, I attribute it to that site.

One more note. Surveys measure what people say they do. They are useful for direction, but I treat them as direction, not hard science.

How many marketers use AI now?

In brief: a large majority of marketers now use generative AI in some form, but how deeply they use it varies a lot.

Statistic	Source and date	Sample
85% of marketers are actively deploying generative AI, up from 75% in 2024	SAS and Coleman Parkes, reported by FutureCIO (September 23, 2025)	300 organisations worldwide
87% of marketers use AI to help create content	Ahrefs marketer survey (June 11, 2025)	879 marketers
88% of organisations regularly use AI in at least one business function, up from 78% a year earlier	McKinsey, The state of AI in 2025 (November 5, 2025)	1,993 participants, 105 nations
42% of respondents report regular gen AI use in marketing and sales, the highest of any function	McKinsey Week in Charts (April 17, 2025; survey July 2024)	1,491 participants
Marketing leaders say AI/ML is used in 24.17% of marketing activities today, and expect 55.91% within three years	The CMO Survey Topline Report 2026 (fieldwork January 7–29, 2026)	308 U.S. marketing leaders
Gen AI is used in a mean 22.42% of marketing activities; 11.8% of leaders report 0%	The CMO Survey 2026 (January 2026)	187 responses to this question
40% of companies use Generative Engine Optimization (GEO)	Portada, reporting the CMO Survey (April 5, 2026)	U.S. marketing leaders

Notice the gap between the first rows and the CMO Survey rows. Almost every team “uses AI,” but on average it still touches less than a quarter of marketing work. That is the most useful single insight in this section: adoption is wide, but still shallow.

The agent wave is earlier still. McKinsey found 23% of respondents say their organisations are scaling an agentic AI system, and another 39% are experimenting with agents (November 2025). If you are unsure what separates agents from regular AI tools, see agentic AI vs generative AI.

How much are companies spending on AI in marketing?

Budgets are moving toward AI, even though overall marketing budgets are tight.

Statistic	Source and date
CMOs allocate an average of 15.3% of marketing budgets to AI initiatives	Gartner 2026 CMO Spend Survey (May 11, 2026; 401 marketing leaders, North America, UK and Europe)
AI-ready organisations allocate 21.3% of marketing budgets to AI	Gartner (May 11, 2026)
Marketing budgets equal 7.8% of company revenue in 2026, up from 7.7% in 2025	Gartner (May 11, 2026)
56% of CMOs say their budget is insufficient for their 2026 strategy	Gartner (May 11, 2026)
93% of marketing teams are budgeting for generative AI through 2026	SAS and Coleman Parkes, via FutureCIO (September 23, 2025)
Marketing leaders expect overall marketing spending to rise a mean 7.61% over the next 12 months	The CMO Survey 2026 (January 2026)
Average company spend on AI tools: $188 per month; 51% plan to increase spend on AI content	Ahrefs survey data, as listed in Ahrefs AI statistics (survey dated May 2025)
Worldwide generative AI spending forecast at $644 billion in 2025, up 76.4% on 2024	Gartner forecast, as listed in Ahrefs AI statistics (forecast dated March 2025)

“AI maturity is beginning to separate marketing leaders from laggards.”
— Ewan McIntyre, Gartner, Gartner 2026 CMO Spend Survey press release

The point for a small business: you do not need enterprise budgets. The $188 a month figure from Ahrefs' survey shows that many companies spend modest amounts on tools. The bigger cost is staff time to use them well. If you are setting next year's numbers, my guide to building a marketing budget can help.

Is AI actually saving marketers time or money?

This is where the numbers get more cautious. People report time savings readily. Hard financial results are rarer.

90% of marketers report savings in time and operational costs from generative AI (SAS and Coleman Parkes, via FutureCIO, September 2025).
Marketing leaders report an average 14.06% improvement in sales productivity and 14.64% in marketing overhead costs from AI use; the medians are 10% for both (CMO Survey 2026, January 2026).
Customer satisfaction improved by a mean 10.75% (median 5%) from AI use, in the same survey.
Only 39% of organisations attribute any EBIT impact to AI, and most of those say it is less than 5% of EBIT (McKinsey, November 2025).
About 6% of respondents qualify as AI “high performers” in McKinsey's analysis (November 2025).
AI users publish a median of 17 articles a month vs 12 for non-users, about 42% more (Ahrefs, June 2025).

Look at the medians in the CMO Survey. When the mean is 14% and the median is 10%, a few big winners pull the average up. A typical team sees smaller gains. That matches McKinsey's picture of wide use but limited bottom-line impact so far.

On jobs, respondents to McKinsey's AI survey were split: 32% expect their organisation's workforce to decrease in the coming year, 43% expect no change and 13% expect an increase (November 2025).

How marketers use AI for content and creative work

Content is where AI use is most visible. Here are the most useful numbers from Ahrefs' survey of 879 marketers (June 11, 2025):

Top content types made with AI help: blog posts (87%), website copy and landing pages (64%), social posts (63%).
Top tasks: brainstorming (76%), outlining (73%), content updates (67%).
Most used models: ChatGPT (44%), Gemini (15%), Claude (10%).
97% use some form of review; 80% review manually, 35% use subject matter experts and 30% use editors.
Only 16% disclose AI use.

And the web itself has changed. Ahrefs analysed 900,000 newly created English pages in April 2025 and found 74.2% contained AI-generated content. Only 2.5% were pure AI, 25.8% were pure human, and 71.7% were a mix (Ahrefs, May 19, 2025).

Across all marketing uses (not just content), the SAS and Coleman Parkes study reported chatbots at 62% and content generation at 45% of use cases (via FutureCIO, September 2025).

My take: mixed human and AI content is now the norm. The winners are not the teams that use AI the most, but the teams with the best review process. If you would like help with that balance, see our content writing service and my guide to AI content and SEO.

What consumers think about AI in marketing

Marketers are enthusiastic. Consumers are more mixed, especially in the U.S. The best recent data comes from Pew Research Center's survey of 5,023 U.S. adults, fielded June 9–15, 2025 and released September 17, 2025 (Pew report).

Finding	Share of U.S. adults
More concerned than excited about increased AI use in daily life	50%
Equally concerned and excited	38%
More excited than concerned	10%
Want more control over how AI is used in their lives	61%
Say it is extremely or very important to tell whether content was made by AI or people	76%
Not too or not at all confident they could tell	53%
Think AI will make people's ability to think creatively worse	53%

“Americans are much more concerned than excited about the increased use of AI in daily life.”
— Pew Research Center, How Americans View AI and Its Impact on People and Society

Put the 76% next to Ahrefs' finding that only 16% of companies disclose AI use. That gap is a reputational risk. Most people want to know, most cannot tell, and most companies do not say. I would not hide AI use where a customer would reasonably expect a human, such as testimonials, expert advice or personal replies.

The risks marketers and researchers keep reporting

The risk data falls into two groups: accuracy problems in AI output, and readiness problems inside marketing teams.

Accuracy. The European Broadcasting Union led a study of more than 3,000 responses from ChatGPT, Copilot, Gemini and Perplexity, checked by journalists from 22 public service media organisations in 18 countries (EBU, October 22, 2025). It found:

45% of responses had at least one notable flaw.
31% had serious sourcing problems.
20% had major accuracy issues, including made-up details and outdated information.

“systemic, cross-border, and multilingual”
— Jean Philip De Tender, EBU, describing the failings, EBU press release on AI assistants and news

That study was about news, not marketing copy. But the lesson carries over: anything AI writes about facts, prices or claims needs a human check, which is why the 97% review figure from Ahrefs is encouraging.

Readiness. Gartner found 70% of CMOs say their internal marketing processes are not yet mature enough to implement and scale AI, and only 30% report mature AI readiness capabilities (May 11, 2026). In the same survey, 54% reported insufficient resources.

AI as a marketing channel: the traffic numbers in brief

AI is not just a tool marketers use. It is also a place customers find brands. The traffic it sends is still small but growing fast.

AI referrals made up 0.32% of website traffic in January to April 2026, up from 0.02% in 2024, across 101,574 sites (SE Ranking, June 18, 2026).
ChatGPT sent 74.78% of AI referral traffic in 2026 in the same study.
Ahrefs measured AI at 0.25% of a site's total traffic on average across 81,947 sites (Ahrefs, June 26, 2025).

For the full picture, including what is normal for your size of site, see my AI referral traffic benchmarks.

How to use these statistics in your own marketing plan

Statistics are only useful if they change a decision. Here is how I suggest using them.

Use the right number for the right audience. For a board, Gartner's 15.3% budget share and McKinsey's 39% EBIT figure are credible anchors. For a team, Ahrefs' content and review figures are more practical.
Benchmark depth, not just adoption. Ask what share of your marketing work uses AI today. Compare it with the CMO Survey's 24% average.
Set one measurable goal. For example, time saved per blog post, or cost per landing page, measured before and after.
Build the review step first. Given the EBU accuracy findings, decide who checks AI output before you scale it.
Decide your disclosure policy. With 76% of U.S. adults saying it matters, have a clear rule rather than deciding case by case.
Re-check the numbers each year. Most of these surveys repeat annually, and they move fast.

A worked example: turning a statistic into a target

This is a hypothetical example. A 6-person marketing team spends about 10 hours writing each long blog post and publishes 4 a month, so 40 hours a month. They pilot an AI-assisted process with a strict human edit and fact check.

If the process cuts each post to 7 hours, that is 12 hours saved a month, or 30%. They could publish more, but Ahrefs' data suggests AI users publish around 42% more, not double. A sensible target might be 5 posts a month at the same quality, with the remaining time spent on promotion. They would then check, after three months, whether the extra post brings traffic and leads, not just volume.

If you want help choosing tools for each task, see my guide to AI marketing tools worth using, or learn how to set up a personal AI marketing assistant. For the bigger picture of where AI fits, read my overview of AI in marketing.

Questions people ask about AI marketing statistics

What percentage of marketers use AI?

Most of them. A SAS and Coleman Parkes study reported by FutureCIO found 85% of marketers actively deploying generative AI (reported September 2025), and Ahrefs found 87% of 879 marketers use AI to help create content (June 2025).

How much of the marketing budget goes to AI?

Gartner's 2026 CMO Spend Survey (May 11, 2026) found CMOs allocate an average of 15.3% of marketing budgets to AI initiatives, rising to 21.3% at organisations it calls AI-ready.

Does AI actually improve marketing results?

Early numbers are positive but modest. In the CMO Survey (fieldwork January 2026), marketing leaders reported an average 14.06% improvement in sales productivity and 14.64% in marketing overhead costs from AI. McKinsey (November 2025) found only 39% of organisations report any EBIT impact from AI.

Do consumers trust AI-generated marketing?

Many are wary. Pew Research Center (September 2025) found 50% of U.S. adults are more concerned than excited about AI in daily life, and 76% say it is extremely or very important to know whether content was made by AI or a person.

Are these AI marketing statistics global?

It varies by study. McKinsey's survey covered 105 nations, Gartner's covered North America, the UK and Europe, the CMO Survey covered U.S. companies and Pew covered U.S. adults. Always check the sample before applying a number to your market.

Putting the AI marketing numbers to work this quarter

To sum up: nearly every marketing team now uses AI, but on average it touches about a quarter of the work. Budgets are shifting toward it, with CMOs putting about 15% of marketing spend into AI. Reported productivity gains are real but modest, and only a minority of companies see a clear profit impact. Consumers are wary, accuracy problems are common, and most teams admit they are not ready to scale.

That is actually good news for a smaller business. The field is not settled, and a careful team with a good review process can still get ahead.

If you would like help building AI into your marketing without the risks, take a look at our SEO services, or get a free quote and tell us what you are working on.

Sources for these AI marketing statistics

#ai marketing #statistics #marketing budgets #generative ai

Written byRohit ChoudharyCo-Founder, My SEO Experts

Rohit Choudhary is the co-founder of My SEO Experts and has more than 14 years of hands-on experience in SEO, paid advertising and digital marketing. Since starting out in 2011 he has helped hundreds of businesses grow through practical, data-driven search strategies, and he also serves as a consulting Digital Marketing Director for several US-based companies.

Website All articles by Rohit →

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AI in Marketing Statistics: Adoption, Spend and Results