AI/ML Marketing Roundup - 21 May 2025

Posted on May 21, 2025

The articles highlight the growing importance of AI/ML in marketing, focusing on data monetization, advanced AI tools for business, and the evolution towards more sophisticated AI systems. For marketers, these developments offer new opportunities to understand buyers, create innovative products and services, and navigate ethical challenges, while also emphasizing the need to adapt to rapidly changing AI capabilities in marketing strategy and practice.

While most articles emphasize the positive potential of AI advancements, there are variations in the timeline and approach to achieving more sophisticated AI. Knight (2025) suggests a 5-10 year timeline for AGI, while other articles focus on immediate applications of current AI technologies without speculating on AGI timelines.

Marketing Strategy and Practice

  • Posnett (2025) discusses the emergence of new markets for AI data, highlighting how companies can monetize their data assets through licensing or subscriptions. This is relevant to marketers as it opens up new revenue streams and emphasizes the importance of strategic data management in AI-driven marketing.
  • Bridgwater (2025) introduces SAP’s Joule, an omnipresent AI copilot for business applications, promising productivity gains and personalized interactions. This development is significant for marketers as it showcases how AI can be integrated into existing business processes to enhance efficiency and decision-making.
  • Knight (2025) reports on Google’s advancements in AI, including the Gemini models and new AI-powered search and shopping tools. These developments are crucial for marketers to understand as they represent the evolving landscape of AI-enhanced consumer interactions and search behaviors.
  • Weatherbed (2025) presents Google’s Stitch, an AI tool for UI design that can generate functional designs from prompts and references. This tool is relevant to marketers involved in product development and digital marketing, as it could streamline the process of creating user interfaces for digital products and campaigns.

Ethical and Regulatory Matters

  • Posnett (2025) touches on the ethical and regulatory implications of AI data markets, mentioning potential new legislation areas such as data privacy, security, and ownership. This is crucial for marketers to consider when developing AI-driven strategies and handling consumer data.
  • Bridgwater (2025) mentions SAP’s adherence to ethical AI guidelines based on UNESCO’s recommendations. This underscores the need for marketers to consider ethical implications in their AI-driven marketing strategies.

The development of more sophisticated AI tools and the emergence of new data markets offer exciting opportunities for innovation in marketing strategies and practices. However, these advancements also underscore the importance of responsible AI use and strategic data management. As AI continues to evolve, marketers must stay informed and agile, balancing the potential for enhanced efficiency and personalisation with ethical considerations and regulatory compliance.

  1. Improving marketers’ work: AI tools like SAP’s Joule (Bridgwater 2025) and Google’s Stitch (Weatherbed 2025) offer marketers powerful capabilities to enhance productivity, personalize interactions, and streamline design processes. These advancements can significantly improve efficiency in marketing operations and creative tasks.

  2. Incorporating AI into products and services: The evolution of AI capabilities, as seen in Google’s Gemini models and new search tools (Knight 2025), presents opportunities for marketers to integrate AI into products and services. This can lead to more intelligent, personalized, and user-friendly offerings that cater to evolving consumer expectations.

  3. ESG implications: The emergence of new AI data markets (Posnett 2025) and the emphasis on ethical AI guidelines (Bridgwater 2025) highlight the growing importance of responsible data management and AI use. Marketers must navigate these ethical considerations carefully, ensuring transparency, privacy protection, and adherence to emerging regulations to maintain consumer trust and comply with evolving standards.

Sources

Bridgwater, Adrian. 2025. “Niftier Than Clippy, SAP Reimagines Omnipresent AI for Business.” Forbes, May. http://www.forbes.com/sites/adrianbridgwater/2025/05/20/niftier-than-clippy-sap-reimagines-omnipresent-ai-for-business/.

Knight, Will. 2025. “Google’s AI Boss Says Gemini’s New Abilities Point the Way to AGI.” WIRED, May. https://www.wired.com/story/googles-ai-boss-says-geminis-new-abilities-point-the-way-to-agi.

Posnett, Kim. 2025. “The New Markets for AI Data.” Financial Times, May. https://on.ft.com/4kteEww.

Weatherbed, Jess. 2025. “Google Made an AI Coding Tool Specifically for UI Design.” The Verge, May. https://www.theverge.com/news/670773/google-labs-stitch-ui-coding-design-tool.