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AI-powered search will reshape how consumers discover, compare and evaluate brands online.
Agentic marketing will automate workflows while changing customer journeys, commerce and campaign execution.
CMOs must strengthen data, talent, governance, and measurement to scale AI effectively.
Artificial intelligence is moving beyond content generation and basic automation. For marketing leaders, the next phase will involve AI-driven search, autonomous agents, personalized customer journeys, stronger data systems, and new ways of measuring brand performance.
The scale of this shift is already visible. Gartner reports that 65% of CMOs expect advances in AI to dramatically change their role within the next two years, while only 32% believe significant changes to the CMO profile and skill set are needed. Gartner predicts that by 2027, a lack of AI literacy could rank among the top three reasons CMOs are replaced at large enterprises.
Here are 10 AI marketing trends CMOs should prepare for, from AI-powered search and autonomous agents to personalization, data, governance, measurement, and human-led creativity.
Consumers are increasingly turning to AI assistants for answers, recommendations, and product research. That means brands will need to compete for visibility inside AI-generated responses, not only traditional search rankings.
For CMOs, this will make generative engine optimization, brand authority, and structured information increasingly important. AI search visibility is already becoming a boardroom issue for marketing leaders.
AI agents are moving from answering questions to completing tasks. Product discovery, comparisons, and purchasing could increasingly happen through AI assistants acting on behalf of consumers. Marketing teams will need accurate product information, pricing, and brand data that AI systems can understand and use to make recommendations.
The next wave of AI adoption will be characterized by the implementation of agents that manage various marketing functions rather than assistants for specific marketing operations.
According to BCG’s 2026 CMO Survey, 96% of CMOs reported that AI is driving a complete transformation in their departments. On the other hand, 42% of CMOs still have limited GenAI capabilities that serve as assistants for specific marketing tasks, while 8% conduct marketing campaigns in which multiple AI agents act independently.
AI allows us to provide customers with a highly personalized experience; however, its quality will depend on the quality of the data. CMOs should ensure that customer information, customer behavior insights, and marketing systems come together rather than remain separate on different platforms.
Generative AI is capable of fast content creation; however, an increased volume of content generated by such technology may increase the value of original content. The brand should have clearly defined limits regarding AI-generated content, human editing of that content, and human storytelling.
Greater AI autonomy also brings greater risk. Incorrect recommendations, inappropriate responses, and unclear use of customer data can quickly become brand problems. Gartner identifies trust among customers, employees, and senior leadership as a critical factor in turning AI investment into long-term growth.
Spending on AI technologies is growing, yet CMOs will have to prove the ROI of their investments. According to Gartner, CMOs will spend 15.3% of their marketing budget on AI in 2026. Yet only 30% of CMOs were mature enough to scale AI and achieve results. In 2027, the main goal of CMOs will not be experimenting anymore, but proving real business benefits.
AI-powered assistants will help consumers in researching products. This means CMOs will face competition for selection by AI assistants. Accurate catalogs, clear product information, and strong brand signaling will help keep up with such trends and remain visible.
The use of AI assistants changes the consumer journey, making attribution harder to measure. A consumer finds the brand via an AI assistant, conducts research elsewhere, and buys the product through another channel.
Traditional last-click measurement will therefore provide an increasingly incomplete picture. Marketing teams will need to track AI visibility, assisted conversions, influence, and brand presence across emerging AI platforms.
The biggest change could happen within marketing teams themselves. CMOs will need enough AI knowledge to assess tools, manage risks, redesign workflows, and connect technology investments to business goals.
Gartner says 98% of CMOs report piloting or using AI for activities including content creation, workflow automation, and optimization. In comparison, 66% of marketers say learning new technologies takes significant time away from their daily work.
Also Read: How Modern COOs Build Autonomous Operations with AI Agents
The AI marketing race will not be won simply by adopting more tools. The bigger challenge will be building the data, skills, governance and workflows required to use those tools effectively.
BCG’s findings underline the gap between ambition and execution: 96% of CMOs report end-to-end AI transformation, but only about one-third have actually done the work required to achieve it.
For CMOs preparing for 2027, the priority is clear: move beyond AI experimentation, build genuine organizational capability, and make sure every major AI investment connects to customer value, brand strength, or measurable growth.
Why this Matters
AI is changing how consumers discover, evaluate and buy from brands. For CMOs, preparing now means building stronger data, AI skills, governance and measurement systems to stay visible, prove ROI, protect brand trust and compete effectively in an increasingly AI-driven marketing landscape.
1. How will AI change marketing by 2027?
AI will reshape search, personalization, content creation, customer journeys, campaign execution, measurement, and marketing decision-making across organizations.
2. What is agentic marketing?
Agentic marketing uses AI agents to autonomously perform multi-step tasks, optimize campaigns, analyze data, and execute marketing workflows.
3. Why is AI search important for CMOs?
AI search is changing brand discovery, requiring marketers to optimize content for AI-generated answers alongside traditional search engines.
4. How can CMOs prepare for AI marketing?
CMOs should invest in high-quality data, AI literacy, governance, automation, measurement frameworks, and workflows that connect AI with business objectives.
5. Will AI replace human marketers?
AI is more likely to transform marketing roles, making human creativity, strategic thinking, judgment, storytelling, and oversight increasingly valuable.
