AI in Marketing Statistics: Adoption, Output & ROI
AI in marketing: marketing & sales leads all business functions in genAI adoption (42% regular use, McKinsey); 65% of marketers use AI consistently; AI users produce 3.2x more content per month; ~25% of campaigns use AI-generated images.
Marketing is generative AI’s beachhead function. McKinsey’s State of AI surveys consistently rank marketing and sales first in regular genAI use, and the productivity numbers explain why: marketers using AI produce roughly 3.2x more content per month, and visual asset production that took days now takes minutes.
Key statistics
Marketing and sales is the most common function for regular generative AI use at 42% of organizations - ahead of product development (38%) and service ops (35%).
About 65% of marketers report consistent AI use in their workflows.
Marketers using generative AI produce roughly 3.2x more content per month than non-users.
Marketers use AI image generation in roughly 25% of campaigns, alongside copywriting (34%) and creative versioning (25%).
78% of ad buyers plan to strengthen generative AI use in media campaigns in 2026, up from 62% in 2025.
Where marketing teams deploy generative AI, ranked by usage
Copywriting still leads AI marketing usage at 34% of campaigns, but visual production (images at ~25%, versioning at 25%) has closed most of the gap, and video is the fastest-growing deployment area.
| Use case | Share of campaigns | Time/cost impact | Source |
|---|---|---|---|
| Copywriting & messaging | 34% | Drafting time cut by more than half for 62% of users | SQ Magazine / Zebracat |
| AI image generation | ~25% | Asset cost drops from $25–170 to cents per image | SQ Magazine |
| Creative versioning | 25% | Per-audience variants without reshoots | SQ Magazine |
| AI video production | Fastest-growing | ~$400 vs ~$4,500 per finished minute | Zebracat / vidBoard.ai |
| Team-level effect | n/a | 34 hours/week saved; 3.2x content output | Zebracat |
Usage shares from SQ Magazine’s 2025 compilation; productivity effects from Zebracat’s client telemetry and vidBoard.ai cost analysis.
What do marketers actually use AI for?
Visual production is now a top-three use case alongside copy: editing and versioning creative assets, generating product imagery, and producing video at social cadence.
The average marketing team using AI video tools saves an estimated 34 hours weekly on production and editing.
63% of video marketers used AI tools to create or edit videos in 2025, up from 51% the prior year.
92% of video teams plan to maintain or increase video budgets - AI tooling makes the same budget go further.
The average knowledge worker saves ~3.5 hours per week with generative AI; marketers report higher savings on content tasks.
How we compiled this data
Adoption figures come from two independent survey families: McKinsey’s State of AI (function-level organizational use) and practitioner surveys (individual marketer behavior). They measure different things, which is why "42% of organizations" and "65% of marketers" coexist. Productivity multipliers come from tool-side telemetry, which skews toward engaged users. Last full review: June 12, 2026.
Before you cite these numbers
- The 3.2x output multiplier compares AI users to non-users, not the same team before and after adoption; selection effects inflate it.
- McKinsey’s 42% measures regular genAI use in marketing/sales at the organization level; it does not mean 42% of marketing work is AI-generated.
- Tool-vendor statistics (Zebracat, vidBoard) sample their own customers; treat them as upper bounds for typical teams.
Frequently asked questions
What percentage of marketers use AI?
About 65% of marketers use AI consistently, and marketing & sales is the top business function for generative AI at 42% of organizations (McKinsey 2025).
Does AI marketing content perform?
Marketers using AI report 3.2x more content output per month, and 82% of video marketers report good ROI from video marketing overall. E-commerce brands report 40%+ conversion lifts from AI product videos.
How much time does AI save marketing teams?
Teams using AI video tools save an estimated 34 hours per week; a 60-second marketing video that took 13 days to produce traditionally now takes about 27 minutes.
Sources
Figures on this page are compiled from the following publishers and reports. Where sources disagree, we present the range and note the methodology difference.