Google VP Warns: LLM Wrappers and AI Aggregators May Not Survive
Darren Mowry, who leads Google's global startup organization, says startups wrapping "thin intellectual property" around GPT or Gemini have their "check engine light" on. The message: slapping a UI on an LLM no longer cuts it. You need deep moats — either horizontal differentiation or vertical expertise. Cursor and Harvey AI are cited as examples of wrappers that got it right.
Read on TechCrunch →SaaStr: The Future of B2B Marketing is AI Agent Recommendations
Big piece from SaaStr's Jason Lemkin. When he built AI tools on Replit, the agent recommended vendors (Resend, Clerk, ElevenLabs) — and he picked them all without demos or G2 reviews. Gartner projects 90% of B2B purchases will be handled by AI agents within three years. The new battleground isn't SEO — it's being the answer your customer's AI recommends.
Read on SaaStr →Claude Skills: Build an AI Marketing Team in 16 Minutes
This tutorial is making the rounds. Claude Skills are reusable workflows that encode your SOPs, brand guidelines, and marketing knowledge into AI-driven processes. The guide covers five core skills: research & strategy, content creation, creative design, data analysis, and campaign presentation. PMMs building internal automation should bookmark this.
Read on Geeky Gadgets →Oracle Expands AI Agents for Marketing, Sales, and CS Teams
Oracle's latest release embeds role-based AI agents directly into Fusion Cloud Applications — no extra cost. The pitch: AI agents don't reduce data silos, they expose them. Marketers can now access procurement cycles, service records, deployment details, and more. Oracle's SVP advice: "Think big, start small, act fast."
Read on MarTech →G2 Report: 60% of B2B Teams Already Use AI in Sales
New state-of-the-industry report from G2 surveying nine major platforms (ZoomInfo, Apollo, Cognism, 6sense, and more). AI delivers strongest value in account prioritization and outreach timing — not just data enrichment. Many teams report 50%+ reduction in research and qualification time. The constraint? Data readiness remains the biggest barrier.
Read on G2 →💡 My Take
Read this one: The SaaStr piece on AI agent recommendations. This is the clearest articulation I've seen of where B2B marketing is actually headed. Forget optimizing for search engines — the new game is optimizing for AI recommendations. When ChatGPT or Claude tells your buyer what CRM to buy, that recommendation shapes enterprise shortlists. The companies figuring this out now will own the next decade.