As AI continues to reshape how we connect, create, and convert, staying current is essential. This edition of the DMAOK Weekly AI & Marketing Round-Up brings together the most important AI and marketing news April 2025 has delivered so far — from Meta’s latest ad innovations to Google’s new tools, and HubSpot’s AI agents built for small business scale. Whether you’re leading a campaign or planning your next quarter, these updates can help you move with greater clarity and confidence.
THIS WEEK'S KEY NEWS
Meta Introduces AI-Powered Ad Features on Facebook and Instagram
Update: Meta now allows advertisers to integrate logos, fonts, and brand colours into AI-generated ads, offers instant form lead chats, and introduces Brand Highlights for enhanced storytelling.
Marketing Implication: These tools boost consistency and direct engagement, making AI-generated content feel more on-brand and interactive.
Strategy Tip: Leverage the new Brand Highlights feature to reinforce brand identity, and experiment with lead chats for real-time interaction.
Microsoft Upgrades Copilot with Personalised AI Actions
Update: For its 50th anniversary, Microsoft enhanced Copilot to handle personal tasks like event planning and tailored recommendations based on user data.
Marketing Implication: Signals a broader trend toward hyper-personalised AI assistants in consumer and marketing contexts.
Strategy Tip: Consider how AI tools can be tailored to your audience’s unique behaviour—personalisation is no longer optional.
WPP Acquires InfoSum to Power Secure AI-Driven Insights
Update: WPP acquired InfoSum, a data collaboration platform that enables AI model training without moving or exposing personal data.
Marketing Implication: This lets agencies train AI on rich, cross-partner data without compromising user privacy—huge for compliance.
Strategy Tip: Look into privacy-focused data tools that let you collaborate securely—especially important for clients in sensitive industries.
Read more: https://www.wsj.com/tech/ai/wpp-buys-infosum-in-ai-push-e7afb6bc
H&M Debuts AI 'Twins' for Fashion Models
Update: H&M is now using AI-generated twins of 30 real models for social media and marketing campaigns.
Marketing Implication: It offers scalable content production while opening new conversations around digital identity and ethics.
Strategy Tip: If you explore AI-generated humans, stay transparent. Audiences respond best to brands that acknowledge the blend of tech and humanity.
Read more: https://www.theguardian.com/fashion/2025/mar/30/fashion-models-ai-job-losses
HubSpot Launches Breeze AI Agents for SMBs
Update: HubSpot has released a suite of four AI agents—Knowledge Base, Customer, Content, and Prospecting Agents—designed to streamline service, sales, and marketing for small businesses.
Marketing Implication: These tools significantly reduce the manual workload, enabling smaller teams to deliver enterprise-grade customer journeys.
Strategy Tip: Use these AI agents to scale your content creation, lead generation, and customer support without scaling your headcount.
Read more: https://www.lifewire.com/hubspot-adds-ai-agents-11713444
Google Cloud Showcases AI Tools to Transform Marketing
Update: At the Next ’25 conference, Google Cloud unveiled new AI-driven tools designed to elevate marketing performance and customer experience.
Marketing Implication: These tools promise to simplify personalisation and campaign execution across marketing touchpoints.
Strategy Tip: Brands should explore how these tools integrate with their existing tech stack to elevate customer engagement.
Mira Murati’s Thinking Machines Lab Raises $2B
Update: Former OpenAI CTO Mira Murati has secured $2 billion in funding for her new AI startup, Thinking Machines Lab—despite no current product or large team. The startup is reportedly valued at $10 billion.
Marketing Implication: This level of investor confidence underscores the value of leadership and vision in early-stage AI companies.
Strategy Tip: If you’re building an AI product, strong thought leadership may be just as important as the tech itself.
Microsoft AI CEO Predicts AI Co-Working Future
Update: Microsoft AI CEO Mustafa Suleyman suggested that within 10–15 years, most professionals will “manage” AI agents as part of their day-to-day roles.
Marketing Implication: This signals a shift in workforce expectations—AI proficiency will soon be as essential as digital literacy.
Strategy Tip: Invest in upskilling now. Teams that are fluent in AI collaboration will outpace those that resist adoption.
Read more: https://www.businessinsider.com/microsoft-ai-ceo-mustafa-suleyman-advice-young-people-2025-4
NOTABLE PAST DEVELOPMENTS
Buffer Launches AI Assistant for Social Media Content Creation
Update: On February 15, 2023, Buffer introduced its AI Assistant to help users generate ideas, repurpose content, and craft platform-specific posts, streamlining social media management.
Marketing Implication: Enables small teams or solo marketers to maintain a strong social presence with far less effort.
Strategy Tip: Use Buffer’s AI to create themed post series or repurpose long-form content across platforms with tone control.
Read more: https://buffer.com/resources/introducing-buffers-ai-assistant/
HubSpot Enhances AI Capabilities with Prospecting Agent and Lead Scoring
Update: HubSpot introduced an AI-powered Prospecting Agent to assist in researching target accounts and drafting personalised emails. Also launched: an AI lead scoring system to prioritise leads more accurately.
Marketing Implication: Lets marketers and sales teams spend less time on manual tasks and more time converting high-quality leads.
Strategy Tip: Automate prospecting flows and use lead scoring insights to shape your nurture strategy.
Read more: https://www.bbdboom.com/blog/hubspot-product-update-march-2025
Salesforce Introduces AI Integrations in Spring '25 Release
Update: Salesforce launched Agentforce for campaign copy, an AI Skills Library, and the Atlas Reasoning Engine for smarter predictions.
Marketing Implication: These tools offer enterprise-level teams new efficiencies for campaign generation and performance forecasting.
Strategy Tip: Use Agentforce to build scalable, data-informed content journeys—then refine with real-time analytics.
Read more: https://martech.org/what-is-salesforce-cooking-up-for-marketers-in-its-spring-2025-release/
Read more: https://www.salesforce.com/news/stories/spring-2025-product-release-announcement/
UPCOMING RELEASES TO WATCH
Meta's LLaMa 4 Model Launching This Month
Update: Meta is preparing to release LLaMA 4, its next-gen large language model, later this April. It’s expected to rival OpenAI and Anthropic offerings and may power Meta’s future AI content tools.
Marketing Implication: New generative AI models often lead to enhanced ad targeting, content generation, and chatbot capabilities on Meta platforms.
Strategy Tip: Stay tuned for Meta’s API or product integrations—early adoption of LLaMA-powered tools could give your content strategy a competitive edge.
Ready to explore how these AI trends could elevate your marketing?
If you’re looking to apply what’s next in AI to what matters now in your business, get in touch with our team. We’d love to hear what you’re working on — and where you want to go next.
