This Week in Marketing Technology, AI, and CX Podcasts | June 11, 2026

The throughline this week is the graduation of AI from a personal accelerant into the operating layer of the marketing function itself—and the stubborn, decisive role humans keep playing in making that shift actually work. Brillio’s Kathleen Ulrich and Anuj Mathur make the case for re-architecting entire customer journeys around agentic experiences rather than bolting personalization onto legacy campaigns. Phaedon’s Jaclyn Wands pushes back on the rush to automate, arguing that loyalty built on transactional rewards will only get more transactional unless brands use AI to read the human signals underneath. And Asana CMO Prachi Gore names the paradox squarely: individual productivity is soaring while team outcomes stall, because the real bottleneck was never ideas or output—it was coordination. Across all three, the same refrain surfaces: keep a human in the loop, measure outcomes rather than output, and protect the judgment and taste that no model can supply. Our bonus pick zooms out to the macro forces—recursive self-improvement, the soaring cost of intelligence, and the prospect of a 100-person company doing the work of a thousand—that explain why these marketing leaders are rebuilding now rather than later.

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Brillio’s Kathleen Ulrich and Anuj Mathur on moving from personalization to agentic transformation

Kathleen Ulrich, Managing Director of Marketing, and Anuj Mathur, Managing Director of CX Transformation at Brillio, join Greg to chart the move from personalization to genuinely agentic customer experiences. Their argument is that the traditional, linear journey—curated and predicted long before a customer ever traveled it—leaves value stranded at every drop-off point, and that the fix is to rewire those journeys nonlinearly with the end business outcome in mind, whether that is customer acquisition cost, products per customer, or the marketing-to-sales handoff. They get concrete about the “agentic content supply chain,” describing assets built as modular Lego blocks that an agent assembles dynamically at the moment an email is opened rather than when it was sent, always with a human marketing manager approving the output before it ships. Both see the role of the CMO shifting from managing a function to architecting a system, with the line between marketing and sales eventually disappearing altogether, and they offer a pragmatic starting point: don’t discard your existing stack, but analyze where conversion leaks and unlock small cumulative gains across the funnel through test-and-learn.

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From CRMC: Phaedon’s Jaclyn Wands on humanizing loyalty in an AI-driven world

Jaclyn Wands, VP of Product & AI at Phaedon, sits down with Greg at CRMC in Frisco to argue that brands pouring billions into AI personalization risk making their most valuable relationships more transactional, not less. A data scientist by training, she leans on the maxim that all models are wrong but some are useful, urging leaders to build fail-safes and human-in-the-loop checkpoints precisely because these systems are so often confidently incorrect. The substance of her argument is the distinction between transactional, habitual, and emotional loyalty: a points economy is table stakes, but AI layered on top of it will simply amplify whatever foundation already exists, so the work is to first understand the non-transactional signals—sentiment, intent, life stage—that reveal emotional affinity. She points to brands reading those signals well, from Nike’s AI foot-scanning and Chewy’s life-stage-aware promotions to Hilton’s monitoring of non-tagged sentiment to rescue a disrupted trip, and offers a sharper metric than purchase frequency: how quickly a customer re-engages and rebuilds trust after a service failure. Looking ahead, she warns that brands not preparing for every customer to carry an AI assistant—and not staking out a presence in what she calls the MCP marketplace—are already behind.

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Asana CMO Prachi Gore on realizing AI’s true potential for marketing operations

Prachi Gore, CMO at Asana, unpacks the paradox that drew her to the company: AI has made individuals dramatically more productive, yet team output rarely translates into faster launches or better outcomes—a gap she ties to research showing that while roughly three-quarters of knowledge workers now use AI, only a sliver of companies report real ROI. Her diagnosis is that this is no longer a technology or ideas problem but a coordination problem, since the workflows that actually matter cross many people, teams, and systems, leaving individuals to “context engineer” their personal agents and glue tools together by hand. Her answer is the AI teammate: an agent with its own identity, permission sets, and access to shared documents that can work across multiple people on a campaign rather than serving one person in a single chat window. Gore is direct about the mindset shifts required—think agents-first, recognize that everyone is now a manager who must onboard and brief their agents, and double down on the human “taste-making” and hard-won experience that turn an average agentic output into a great one. She closes on the collapse of the traditional funnel under AI search, noting that the fundamentals of marketing hold even as the discovery playbook is rewritten: retire the old tactics, but keep the first-principles thinking about who you serve and why.

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Bonus Pick: [The AI Show Episode 218]: Anthropic IPO, Trump AI Executive Order, Rising AI Costs & OpenAI Merges Codex Into ChatGPT — The Artificial Intelligence Show

Paul Roetzer, founder and CEO of SmarterX and the Marketing AI Institute, and co-host Mike Kaput, SmarterX’s Chief Content Officer, break down a dense news week on The Artificial Intelligence Show, anchored by Anthropic’s confidential IPO filing and a companion essay on recursive self-improvement that argues AI is increasingly building its own successors. The conversation that most directly complements this week’s marketing episodes is the deep dive on what that acceleration means for organizations—specifically the thesis that a 100-person company will soon do the work of a thousand, and that a thousand-person team will move at the pace of ten. That framing is the macro mirror of Prachi Gore’s vision for a ten-person marketing team operating like a hundred, and the show’s extended discussion of the soaring cost of intelligence and token budgeting grounds the practical investment choices these leaders are now wrestling with. For marketers trying to make sense of why the operating model is changing this fast, it is a useful step back from the campaign floor to the forces reshaping the whole field.

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Taken together, these conversations describe a marketing function in the middle of re-architecting itself: away from AI as a faster way to do the old work, and toward AI as a system of agents and teammates that changes the structure of the work entirely. What separates the leaders from the laggards is not how aggressively they adopt the technology but how disciplined they stay about outcomes over output, about keeping human judgment and emotional connection at the center, and about building governance and coordination so productivity gains don’t dissolve into chaos. The tools are racing ahead—the advantage will belong to the teams that pair that speed with taste, trust, and a clear sense of what they’re actually trying to achieve. See you next week!

• Category: Articles