AI in marketing: adoption is high, value is still catching up

The question for marketing leaders is no longer whether to use AI. The surveys published over the past year agree that adoption is broad. They also agree that most of the value is still ahead, and that what holds it back sits outside the model.

In brief: AI adoption in marketing is broad, but value is still catching up. Salesforce found that 75% of marketers have adopted AI, yet 84% still run generic campaigns. In McKinsey's State of AI survey, only 39% report an impact on EBIT at the enterprise level. The bottleneck is context and unified customer data, not the models themselves.

Adoption is no longer the story

Salesforce's tenth State of Marketing report, based on nearly 4,500 marketers, found that 75% have adopted AI (Salesforce, 19 Feb 2026). McKinsey's global State of AI survey found that 62% of respondents say their organizations are at least experimenting with AI agents (McKinsey & Company, Nov 2025).

Adoption is uneven, though. In a Gartner survey of 418 marketing leaders, 27% of CMOs said their organization had limited or no generative AI adoption in marketing campaigns. Among those that had adopted it, 77% used it for creative development tasks (Gartner, 18 Feb 2025).

Value is still catching up

McKinsey's respondents report benefits at the level of individual use cases, and 64% say AI is enabling their innovation. But only 39% report an impact on EBIT at the enterprise level, and nearly two-thirds say their organizations have not yet begun scaling AI across the enterprise (McKinsey & Company, Nov 2025).

Budgets explain part of the pressure. Gartner's 2025 CMO Spend Survey of 402 marketing leaders found budgets flat at 7.7% of company revenue, with 59% of CMOs saying they lack the budget to execute their strategy. Where generative AI pays back, it is mostly through time efficiency (49%), cost efficiency (40%) and extra capacity (27%) (Gartner, 12 May 2025).

The gap is context

The Salesforce data points to the real bottleneck. 84% of marketers admit to running generic campaigns and 69% struggle to respond promptly to customers, even though 83% say customers now expect two-way conversations and 81% would trust AI to respond on their behalf. Teams that have unified their customer data are 60% more likely to use AI agents to scale their efforts (Salesforce, 19 Feb 2026).

“Every marketer has access to the same AI models. So what separates the winners? Relevant context.”Bobby Jania, Agentforce Marketing CMO, Salesforce (Salesforce, 19 Feb 2026)

The same shift is visible on the buying side. Over the 2025 holiday season, the share of retail traffic from AI search channels such as ChatGPT and Perplexity doubled, and shoppers arriving that way converted nine times more often than those from social media (Salesforce, 8 Jan 2026). AI is becoming both the tool marketers use and the place where customers first meet brands.

What to do with it

• Move from pilots to workflows. The organizations McKinsey describes as AI high performers are redesigning workflows rather than adding tools to old ones (McKinsey & Company, Nov 2025).
• Fix the data before the model. Unified customer and campaign data is what turns generic output into relevant output.
• Report productivity and growth separately. Time saved is real, but it is not the same as revenue gained. Track both.
• Watch how AI describes you. When assistants answer the customer's first question, brand visibility inside those answers becomes a marketing metric.

The tools are now common. What remains scarce is context: knowing the customer, the brand and what has worked before. That is where the next round of advantage will come from.

Frequently asked questions

What share of marketers use AI in 2026?

Salesforce's tenth State of Marketing report, based on nearly 4,500 marketers, found that 75% have adopted AI, according to Salesforce. Adoption is uneven: in a Gartner survey of 418 marketing leaders, 27% of CMOs said their organisation had limited or no generative AI adoption in marketing campaigns, while 77% of adopters used it for creative development tasks.

Is AI delivering business value for marketing teams?

Mostly at the level of individual use cases so far. In McKinsey's State of AI survey, 64% say AI is enabling their innovation, but only 39% report EBIT impact at the enterprise level, and nearly two-thirds have not begun scaling AI across the enterprise. Gartner finds generative AI pays back mostly through time efficiency (49%), cost efficiency (40%) and extra capacity (27%).

Why do marketers still run generic campaigns when they use AI?

The data points to missing context rather than missing tools. 84% of marketers admit to running generic campaigns and 69% struggle to respond promptly to customers, according to Salesforce. Teams that have unified their customer data are 60% more likely to use AI agents to scale their efforts. Unified customer and campaign data is what turns generic output into relevant output.