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Friday, September 11, 2026

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Why AI-Informed Marketing Needs a New Set of Rules

Marketing has more AI-driven insight than ever, but not more trust. Why governance — not data volume — is now the real competitive edge.

Why Your Brand Strategy Keeps Falling Apart

Laura Wilkinson explains why brand keeps losing to short-term metrics — and how CMOs can run it as a growth system, not a support function.

Delight.ai’s John Kim on Building an AI That Remembers

Delight.ai's John Kim on the line between an AI that delights and one that feels like surveillance — and how Trust OS keeps agents in check.

Target’s Brand Score Was Sinking Before the Clown Did

Target's Halloween costume backlash grabbed headlines, but the data shows a three-year pattern of self-inflicted brand damage — and a recovery narrative that just took another hit.

Cookies Are Dying. Advertisers Are Fighting Over Scraps

As ad supply falls and cookies fade, advertisers face shrinking, costlier audiences. Here's why the fix lies beyond legacy identifiers.

Audiences Can Tell What’s Real. Can Your Brand?

Getty Images' Kate Rourke breaks down 2026's mid-year creative trends in AI, authenticity and sport — and what APAC audiences are rewarding.

When AI Agents Do the Shopping, Who Wins Loyalty?

As AI assistants start booking and buying on customers' behalf, loyalty programs invisible to them risk losing every deal without ever knowing it.

The Loyalty Assumptions Holding Marketers Back

Loyalty programs are missing the mark. New research reveals how recognition, not rewards, actually earns customer trust — and where brands get it wrong.

Why Brands Should Just Ask What Customers Actually Want

Retailers know what you bought. They rarely know why. A look at why asking customers directly may outperform tracking them — and rebuild trust along the way.

Talkdesk’s Munil Shah on Why “Humans vs. AI” Is the Wrong Fight

Munil Shah, Talkdesk's Product Chief on separating real agentic AI from marketing, the hybrid workforce, obsolete CX metrics, and shared accountability for AI decisions.

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