3 ways AI will elevate marketing in 2026

AI will play a bigger role in shaping how marketers engage customers and run campaigns in 2026. The technology is moving beyond pilots into scaled programs — a shift confirmed by the Marketing AI Institute’s report. 

In the survey, 60% of nearly 1,900 predominantly U.S.-based respondents said their teams were piloting or scaling AI, up from 42% in 2023. Another 74% said AI was critically or very important to next year’s marketing agenda. Against that backdrop, three areas stand out where AI’s impact will be especially significant.

1. Hyper-personalization of content

AI will enable marketers to connect more closely with customers across socioeconomic, cultural and linguistic backgrounds. This will play out in two ways: 

• AI-powered personalized campaigns.
• AI-generated content tailored to individuals. 

By analyzing customer preferences and behaviors, AI can personalize everything from ads to product recommendations at scale. As models advance, brands will be able to engage microcommunities with context-specific messages on the channels they prefer. Dynamic content algorithms will adjust in real time to maximize relevance.

Generative AI will play a central role in this shift. With clear prompts, marketers can instantly produce write-ups, scripts, product literature, videos and even translations into a customer’s preferred language. Whether creating brand-compliant collateral, social posts or short-form video, generative AI delivers at speed and scale.

Dig deeper: Why AI-powered relevance is replacing personalization in B2B marketing

2. Agentic AI-led orchestration

Marketers will move beyond experimenting with agentic AI to full-scale adoption — but only with the proper foundation in place. So far, traction has been limited. Up to 34% of 500 U.S. decision-makers reported having begun implementing agentic AI, but only 14% had done so fully, according to the EY U.S. AI Pulse Survey. Most current use cases are basic, focused on assisting or managing processes.

One barrier is a limited understanding of the technology’s potential. In more advanced organizations, AI agents are already automating complex tasks and transforming core workflows. To capture that value, marketers must redesign processes around agentic AI rather than simply inserting it into existing ones. That shift requires:

• Reskilling teams.
• Turning raw data into usable data products.
• Creating governance frameworks.
• Upgrading infrastructure for smooth integration.

By moving from fragmented use cases to cross-functional transformation, marketers can prepare to scale agentic AI across their operations.

Dig deeper: Agentic AI is about to transform the martech stack — and the way marketers work

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3. Redefinition of creative strategy

Creative strategy will shift dramatically as generative AI supports — and in some cases drives — idea generation and execution. Content creators can use it to develop novel concepts and render them into text, image, audio or video assets. They can also rely on it for practical tasks, such as tagging assets for easier retrieval or resizing files to fit the size, format or resolution of different channels.

AI will also change campaign performance management. By analyzing content attributes, campaign metrics and other data, it can create standardized approaches for measuring promotions and help teams run campaigns more effectively.

The potential is clear, but most marketers aren’t yet ready to capture it. In the earlier report, only 25% of respondents said their teams had an AI roadmap. That gap is critical, since a roadmap guides the steps — from upgrading skills and technology to creating governance and responsible AI frameworks — that enable marketing to reach new levels of creativity and precision.

Dig deeper: The harsh reality of AI in marketing