Meta's Advantage+ AI Push Is Changing Ad Creation
Meta's continued expansion of Advantage+ AI tools is forcing marketers to cede more control to "black-box" systems for targeting, budgeting, and even creative. The trade-off: less manual control, but Meta claims better performance. One agency founder puts it bluntly: "Meta has been trying to automate media buying through simplifying the process, keeping audiences broad, giving advertisers less control."
Read on Marketing Brew →BCG: Agentic Scenarios Every Marketer Must Prepare For
BCG outlines the growing trend of brands building proprietary AI to own the customer relationship directly — without ceding the interface to third parties. BMW's Intelligent Personal Assistant is cited as a model: it learns how owners drive and live, adjusting settings and anticipating needs. The insight: if you don't own your AI interface, someone else will.
Read on BCG →The B2B Agentic Risk: When B2C Playbooks Break Relationships
CMSWire warns that most enterprise AI frameworks were built for high-volume, transactional B2C environments. When applied to B2B without modification, they optimize for raw speed while ignoring account relationship health. The cost of one bad AI decision in B2B can be enormous — and most companies aren't adapting their frameworks.
Read on CMSWire →AlixPartners Scorecard: Which Software Companies Win or Lose in AI
A new scorecard from AlixPartners ranks enterprise software companies on their AI readiness and vulnerability. Key insight: mission-critical software (fraud detection, compliance) is safer from AI-native challengers because enterprises have "no tolerance for error." But commoditized tools are in the danger zone.
Read on Business Insider →Forrester: What Oracle's Layoffs Really Signal
Forrester argues Oracle's layoffs aren't a cautionary tale about AI — they're a preview of what happens when capital, automation, and accountability collide. The organizations that survive will be ones where ops leaders "didn't wait for disruption to define their role — they defined it first." Either defend decision integrity or get optimized away.
Read on Forrester →💡 My Take
Read this one: The CMSWire piece on B2B agentic risk. Most AI frameworks are optimized for B2C speed, not B2B relationship depth. If you're deploying AI agents in enterprise sales or marketing, ask yourself: is this optimizing for the right thing? A single bad automated decision can torch a relationship that took years to build.