What follows is a summary of public research on AI adoption in marketing teams in 2026, with the source and year named next to every number. Where surveys disagree, both figures are shown.
Key takeaways
- Most marketers now use AI. Salesforce's State of Marketing 2026 says 75%, Jasper's State of AI in Marketing 2026 says 91%, and Canva's 2026 report with The Harris Poll says 97% of marketing leaders at large companies.
- Usage is wide but shallow. The CMO Survey 2026 finds AI is used in 24.2% of marketing activities, up from 13.1% in 2024.
- Content creation is the top use case. 73.9% of companies in The CMO Survey 2026 use AI for it, and HubSpot's 2026 State of Marketing reports 80% of marketers do.
- Budgets are flat but AI's share is growing. Gartner's CMO Spend Survey 2026 puts marketing budgets at 7.8% of revenue, with 15.3% of that going to AI.
- Readiness lags spending. 70% of CMOs call AI leadership a critical goal, but only 30% report mature AI readiness (Gartner CMO Spend Survey 2026).
- Governance is thin. Only 13% of organizations have all four governance foundations in place (SmarterX 2026 State of AI for Business).
How many marketing teams use AI in 2026
Every major 2026 survey agrees that AI use in marketing is now the norm. They disagree on the exact number, mostly because they ask different people different questions.
| Source (year) | Who was asked | Finding |
|---|---|---|
| Salesforce State of Marketing, 10th edition (2026) | 4,450 marketing decision makers, surveyed October to November 2025 | 75% of marketers have adopted AI |
| Jasper State of AI in Marketing (2026) | 1,400 marketers | 91% actively use AI at work, up from 63% the year before |
| Canva State of Marketing and AI, with The Harris Poll (2026) | 1,415 marketing leaders at organizations with 500+ employees in seven countries, including India and the US | 97% use AI in daily creative work |
| The CMO Survey (2026) | 308 US marketing leaders, January 2026 | AI is used in 24.2% of marketing activities |
| McKinsey State of AI (2026) | 1,719 respondents across functions, May to June 2026 | Nearly nine in ten report regular AI use in at least one business function |
The gap between 75% and 97% is partly about sample: Canva surveyed leaders at large companies, Salesforce a broader group. Jasper's sample is made up of marketers who engage with an AI vendor's research, which may lean toward heavier users.
The CMO Survey figure is the most useful reality check. It asks what share of marketing activity actually uses AI, not whether anyone on the team uses it. The answer, 24.2% in 2026, nearly doubled from 13.1% in 2024. Generative AI grew faster, from 7.0% to 22.4% of activities. Respondents expect AI to reach 55.9% of marketing activities within three years (The CMO Survey 2026).
Agents are still early. Salesforce's 2026 report says only 13% of marketers have adopted AI agents.
What marketing teams use AI for
Content is still the main job AI does in marketing. The CMO Survey 2026 tracks the share of companies using AI for each activity and compares it with Fall 2023.
| Marketing activity | Fall 2023 | 2026 |
|---|---|---|
| Content creation | 49.2% | 73.9% |
| Content personalization | 52.8% | 65.4% |
| Optimizing content and timing for ROI | 36.6% | 49.5% |
| Marketing automation | 28.0% | 48.9% |
| Data analysis and reporting | 24.8% | 46.3% |
| Targeting decisions | 31.7% | 45.2% |
| Generative engine optimization (GEO) | Not asked | 41.5% |
| Customer segmentation | 21.5% | 35.6% |
| Programmatic advertising and media buying | 35.0% | 32.4% |
Other surveys point the same way. HubSpot's 2026 State of Marketing report says 80% of marketers use AI for content creation and 75% for media production. Salesforce's 2026 report names personalizing content as the top AI use case, and says 78% of marketers need more personalized content than they can produce.
The newest use case is AI search. 41.5% of companies already use AI for generative engine optimization, a category The CMO Survey added in 2026. In Salesforce's 2026 report, 85% of marketers say AI is reshaping their SEO strategy and 88% have started optimizing for AI-generated answers. For the audience side of this shift, see our roundup of AI search statistics for 2026.
Adoption is uneven by industry. Tech, software and platform companies use AI in 36.1% of marketing activities, against 26.4% for retail and wholesale (The CMO Survey 2026). Generative AI use in marketing is lowest in manufacturing (11.3%) and mining and construction (8.7%).
AI budgets in marketing
Marketing budgets are not growing much, so AI money is being found inside existing budgets. The Gartner CMO Spend Survey 2026, based on 401 marketing leaders mostly at companies with over $1 billion in revenue, found:
- Marketing budgets are 7.8% of company revenue in 2026, up from 7.7% in 2025.
- CMOs allocate an average of 15.3% of the marketing budget to AI initiatives.
- Organizations with mature AI readiness allocate 21.3% to AI and spend 8.9% of revenue on marketing.
- 56% of CMOs say they lack the budget to deliver their 2026 strategy, and 54% report insufficient resources.
The CMO Survey 2026 paints a similar picture from US companies. It reports marketing budgets at their lowest share of company revenue and budgets since 2021, with marketing spending up only 1.7% over the prior 12 months.
Intent to spend more is near universal. 99% of marketing leaders plan to increase AI investment in 2026 (Canva with The Harris Poll, 2026). Across all business functions, 60% of McKinsey's State of AI 2026 respondents expect their organizations to raise AI investment over the next year, while about 20% say AI operating costs have already limited their use.
AI is also changing how marketing buys outside help. In the Gartner CMO Spend Survey 2025, 22% of CMOs said generative AI had reduced their reliance on external agencies for creativity.
Productivity and results
Most evidence on results is self-reported, but it is consistent: AI speeds up work, while financial returns are harder to prove.
| Source (year) | Reported result |
|---|---|
| Gartner CMO Spend Survey (2025) | 49% cite improved time efficiency from generative AI, 40% improved cost efficiency, 27% more content production capacity |
| Jasper State of AI in Marketing (2026) | 50% bring work to market faster, 45% have lowered operating costs |
| Canva with The Harris Poll (2026) | 89% of marketing leaders say AI delivers efficiency gains |
| Salesforce State of Marketing (2026) | Marketers expect to reclaim roughly eight hours per week by using AI agents for content variation and data analysis |
| McKinsey State of AI (2026), all functions | 80% say AI improved their individual productivity, 37% attribute at least some EBIT impact to AI |
The ROI picture is where sources diverge. Jasper's 2026 report found the share of marketers who can prove AI ROI fell from 49% to 41% in a year. Yet among teams that adapted how they measure, 60% report returns of 2 to 3 times or more. McKinsey's State of AI 2026 found only 6% of respondents are high performers seeing 5% or more of EBIT from AI.
The CMO Survey 2026 says AI's contribution to sales productivity, customer satisfaction and lower marketing overhead has risen year over year. It also warns that technology adoption is outrunning execution: no marketing technology activity scored above 5 on its 7-point performance scale.
Barriers to scaling AI in marketing
The main obstacles are organizational, not technical. Each survey frames them a little differently.
- Process maturity. 70% of CMOs say their internal marketing processes are not mature enough to implement and scale AI (Gartner CMO Spend Survey 2026).
- Data. Siloed systems and poor data quality are the top barriers to AI-driven personalization, and only 26% of marketers are completely satisfied with their data unification (Salesforce State of Marketing 2026).
- Review and quality. Brand, legal and compliance reviews, output quality, and data and privacy risk are the top three barriers to scaling (Jasper 2026). 41% of marketing leaders say low-quality AI content is becoming a real challenge (Canva with The Harris Poll, 2026).
- Budget, integration and time. Asked for the biggest barrier to getting value from marketing technology, CMOs named lack of budget (20.1%), integration and data architecture (19.1%), bandwidth and focus (14.1%), and talent (13.1%) (The CMO Survey 2026).
- Skills. Lack of education and training (38%) and lack of awareness or understanding (35%) are the top barriers across business roles (SmarterX 2026 State of AI for Business, 2,000+ professionals, not marketing only).
Governance and trust
Formal AI governance is still rare. SmarterX's 2026 State of AI for Business found just 13% of organizations have all four governance foundations in place: a roadmap, an AI council, a generative AI policy and an ethics policy.
Marketing teams are adding roles to fill the gap. Jasper's 2026 report says 65% of marketing teams now have designated AI roles, and one in three marketers has added AI strategy, policy and governance to an existing role.
The CMO Survey 2026 asked how well companies manage generative AI risks on a 7-point scale. Security of customer data scored highest at 5.0. Brand fit of AI-produced strategy scored 4.5, understanding how content or decisions are made scored 4.4, and minimizing bias scored 3.8.
Customers care about this. In Canva's 2026 consumer survey, 74% said they would feel more comfortable with AI in advertising if formal company policies governed its use, and 52% named disclosure of AI use as a trust builder. 78% said they would rather see ads made by people.
What to do with this
- Measure depth, not access. Count which recurring tasks use AI and how often. The CMO Survey's 24.2% figure is a better benchmark than "do we use AI."
- Start with content operations. Content creation and personalization are where adoption and reported gains are highest. Build a repeatable brief, draft, review and publish flow with a human editor at the end. Our AI content operations service is built around that model.
- Fix data before buying agents. Salesforce and Gartner both tie AI results to unified data and mature processes. Connect your CRM, email and analytics first, then automate. See marketing automation for how we approach this.
- Write a one-page AI policy. Cover approved tools, what data can go in, review steps for brand and legal, and when to disclose AI use. Given the 13% governance figure, this alone puts most teams ahead.
- Plan for AI search. With 41.5% of companies already doing GEO, check how your brand shows up in AI answers. The GEO readiness score tool is a quick starting point.
- Set ROI measures up front. Pick two or three metrics, such as hours saved per asset, cost per asset and conversion rate, and track them before and after.
Sources
- The CMO Survey, Highlights and Insights Report 2026, Duke University Fuqua School of Business and Deloitte, April 2026
- Gartner, 2026 CMO Spend Survey press release, May 11, 2026
- Gartner, 2025 CMO Spend Survey press release, May 12, 2025
- Salesforce, State of Marketing, 10th edition, news release February 19, 2026
- Salesforce, "5 Hard Truths From the Tenth State of Marketing Report," February 2026
- HubSpot, 2026 State of Marketing Report, 2026
- Jasper, The State of AI in Marketing 2026, 2026
- Canva with The Harris Poll, State of Marketing and AI Report 2026, May 2026
- McKinsey & Company, The State of AI, August 25, 2026
- SmarterX, 2026 State of AI for Business Report, 2026
FAQ
What percentage of marketing teams use AI in 2026?
It depends on how the question is asked. Salesforce's State of Marketing 2026 puts it at 75% of marketers, Jasper's State of AI in Marketing 2026 at 91%, and Canva's 2026 report with The Harris Poll at 97% of marketing leaders at large companies. The CMO Survey 2026 measures something different: AI is used in 24.2% of marketing activities. So most marketers use AI, but most marketing work is still done without it.
How much of the marketing budget goes to AI?
The Gartner CMO Spend Survey 2026 found CMOs allocate an average of 15.3% of marketing budgets to AI initiatives. Organizations with mature AI readiness allocate 21.3%. That survey covers mostly companies with over $1 billion in revenue, so smaller teams should treat it as a reference point, not a target.
Does AI actually improve marketing productivity?
Most surveys say yes, at least for speed. In the Gartner CMO Spend Survey 2025, 49% of CMOs cited improved time efficiency from generative AI. Jasper's 2026 report found 50% of marketers bring work to market faster. Proving financial return is harder: the share of marketers who say they can prove AI ROI fell from 49% to 41% in Jasper's data.
What is the biggest barrier to AI adoption in marketing?
Readiness, not access to tools. Gartner's 2026 survey found 70% of CMOs say their processes are not mature enough to scale AI. Salesforce's 2026 report points to siloed and poor quality data. Jasper's 2026 report lists brand, legal and compliance reviews, output quality, and data and privacy risk as the top three barriers to scaling.