2025 AI Marketing Stats: From Hype to Impact

Generative AI is advancing at a staggering pace, rapidly shifting from novelty to necessity in the modern marketing toolkit. For CMOs and marketing leaders, the classic mandate to “do more with less” now has entirely new dimensions. While I’m excited by AI’s potential to enhance speed, efficiency, and innovation, I’m equally focused on best understanding the direction and impact of AI for marketing, and helping to prioritize the highest-impact applications and use cases. To support that effort, this post compiles the most relevant and up-to-date AI marketing statistics for 2025—along with select, practical prompt templates designed to help you apply these insights directly to your own strategy, team structure, and tech stack.

Top Marketing AI Use Cases

  • Top 3 marketing activities leveraging AI: Content Production (78.1%); Audience Segmentation and Targeting (42.7%); Data Analysis and Reporting (38.5%). [The State of Martech 2025, Chiefmartec and Martech Tribe, May 2025]
  • Top 7 uses cases of AI by marketers: text generation, text refinement, image generation, video creation, personalized content, visual content, research. [The State of Marketing and AI Report, Canva, March 2025]
  • Top 5 ways that companies are using generative AI:
  • Most used GenAI use cases: Content (69% – copy ideation); Content (62% – copy production); Management (63% – transcription, notes, summaries). [The State of Martech 2025, Chiefmartec and Martech Tribe, May 2025]
  • Companies are seeing real benefits (from AI), such as retail marketers reporting 10% to 25% higher returns on ad spending from AI-powered campaigns. [For Marketers, Generative AI Moves from Novelty to Necessity, Bain & Company, February 2025]
  • 54.2% of marketers are using built-in AI assistants (46% of these people access these assistants through their CRM). [The State of Martech 2025, Chiefmartec and Martech Tribe, May 2025]
  • Top-ranked future applications for agentic AI in marketing: [The State of Marketing and AI Report, Canva, March 2025]
    • “Tracking brand sentiment and flagging potential issues;
    • Campaign monitoring, measurement and optimization; and
    • Creating personalized content for different audience segments.”
  • Top 3 use cases of LLM or agentic AI in marketing workflows or automations: Summarize Messages and Content (38.5%); Personalize Content or Messages (31.3%); Research Customers/Prospects to Enrich their Profile (25%). [The State of Martech 2025, Chiefmartec and Martech Tribe, May 2025]
  • 36.5% of marketers are using a chatbot AI agent on their website. [The State of Martech 2025, Chiefmartec and Martech Tribe, May 2025]
  • Generative AI Prompt Suggestion to Find the Best Use Cases for Your Team
    • I’m a CMO exploring how to apply generative AI in my marketing organization. I don’t have a full AI strategy yet, but I want to start identifying high-impact opportunities. My goal is to find practical, low-risk ways to introduce generative AI while setting the foundation for broader adoption in the future. Please help me:
      • Identify which parts of my marketing function are most likely to benefit from generative AI (e.g., content creation, campaign planning, data analysis, personalization, etc.)
      • Evaluate those opportunities based on my team size, structure, and current marketing challenges (provide this input to your LLM, making it generic enough to protect confidentiality if you’re using an external system)
      • Recommend easy-to-test use cases that don’t require heavy technical investment
      • Suggest how I can assess the value or impact of early GenAI experiments
      • Provide a simple “crawl-walk-run” adoption roadmap to help my team get started confidently

AI Adoption Across Marketing Teams

  • Generative AI Prompt Suggestion to Develop a Plan for AI Adoption
    • I’m a CMO looking to assess and address the challenges my marketing team may face in adopting AI tools and workflows.
    • For context, here are some of my company details:
      • Company vertical, range of size by employees and revenue, approximate size of marketing team and core functions within marketing: [e.g., software, 1,000-1,500 employees, $250-$500M revenue, 60-75 marketers across product marketing, brand, demand, ops, content]
      • Current martech stack: [e.g., Marketo, HubSpot, Salesforce, GA4, Canva, ChatGPT]
      • AI use today: [e.g., light use for content, no automation in ops].
    • Please help me:
      • Identify the top barriers to AI adoption specific to my organization (based on team size, structure, current martech stack, culture, etc.)
      • Prioritize those challenges by urgency and impact
      • Recommend a phased strategy to improve AI adoption across the marketing function
      • Suggest key roles, processes, or pilots that could accelerate adoption
      • Include tips for managing resistance, training needs, and measuring impact

AI’s Impact On Marketing Teams

  • Generative AI Prompt Suggestion to Evaluate the Impact of AI on Your Marketing Team
    • I am the CMO of a mid-to-large organization and want to evaluate the impact of AI on our marketing team and company. Focus on actionable insights that support executive decision-making, team alignment, and long-term planning. Please provide:
      • A structured framework to assess AI’s impact across:
        • Team capabilities
        • Workflow efficiencies
        • Marketing outcomes
        • Cross-functional and organizational alignment
      • Guidance on how to diagnose strengths, gaps, and risks in AI adoption across content, campaigns, analytics, and operations
      • A sample CMO-level dashboard to monitor AI adoption progress, including:
        • Key performance categories (e.g., efficiency, quality, speed, ROI, adoption)
        • Suggested KPIs or metrics per category
        • Sample benchmark data or targets based on industry standards (B2B SaaS preferred, if available)

AI in Content Creation

  • 85% of marketers use AI tools for content creation. [The State of AI in Marketing 2025, CoSchedule, January 2025]
  • 64% of marketers indicate that AI generated content is as successful or more successful than the content created without the use of AI. [The State of AI in Marketing 2025, CoSchedule, January 2025]
  • Generative AI Prompt to ID and Assess the Highest Impact AI Areas for Content Creation
    • I’m the CMO of a [insert company information without divulging confidential data] company with a [insert marketing team information] marketing team. I want to identify the highest-impact, lowest-effort areas where AI can enhance content creation across our marketing function. Please create a structured, scannable table that evaluates a wide range of real-world content use cases, including but not limited to blog creation, social media copy, SEO, video scripts, and content repurposing. Prioritize high-impact, low-effort use cases at the top of the table, and keep the output focused, tactical, and directly applicable to the type of company and marketing team previously described. The table should include the following columns:
      • Content Function/Use Case – e.g., blog writing, social copy, video scripts, SEO optimization, repurposing, etc.
      • Potential Impact Score (1–5) – How significantly AI can improve quality, speed, and reach. 5 = highest impact.
      • Effort to Implement Score (1–5) – How hard it is to implement (skills, tech, change management). 1 = easiest.
      • Recommended AI Tools/Technologies – Name relevant AI-powered platforms or applications.
      • Team Members Involved – Who on the marketing team would own/execute (e.g., content marketer, SEO lead).
      • Sample Process to Operationalize – A practical example of how this use case could be implemented in our workflows.

AI’s Impact on Search Engine Optimization (SEO)

AI Planning & Oversight

Marketing Technology

As AI continues to reshape the marketing landscape at breakneck speed, staying current isn’t optional — it’s a competitive advantage. This post will be updated regularly as new research and use cases emerge, so bookmark it and check back often. If you come across new reports or data worth including, feel free to send them my way (michael@fractionalcxos.com) — I’m always looking to expand this resource. And if you’d like to get updates when this post is refreshed or receive exclusive AI strategy prompts and insights, please subscribe to our newsletter.

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