TL;DR Brand voice used to be a document the agency wrote and the marketing team referenced once a quarter. In an AI-native marketing function, the voice guide is something different. It is a technical document, used dozens of times a day by AI tools that are generating first drafts on your behalf. The voice guide […]
TL;DR Every marketing leader is being asked some version of the same question this year. Which roles on my team are most exposed to AI, and what do I do about it? I have spent the last twelve months inside marketing teams that are working this question in real time. The disruption is not evenly
TL;DR The marketing brief is the document the function has revised more times than any other and trusted less than it should. In 2026, the brief I see working is a different artifact. It is shorter, written for an AI co-worker as much as a human one, and built around three inputs the old brief
A core banking provider from outside the US asked how to enter the US credit union and community bank market. The conversation surfaced a pattern every US financial services marketer should be tracking right now.
If I were still in the marketing seat at a mid-size credit union or community bank, here are the three projects I would build this quarter. And the three I would not.
TL;DR I have been in some version of the same conversation about AI inside credit unions for the last twelve months. The conversation starts well. Somewhere in the middle, one of three objections shows up. The conversation stops moving forward. Below are the three objections, why each of them is reasonable, and the framing I
TL;DR The buyer’s first encounter with your brand increasingly happens inside an AI conversation, not on your website. ChatGPT, Perplexity, Gemini, and Google AI Overviews are forming opinions about your company before a prospect ever clicks a link. Most marketing teams aren’t even monitoring this layer, let alone optimizing for it. That’s a problem with
TL;DRMarketing leadership used to mean owning the brand, managing agencies, and running campaigns. That job still exists, but it’s no longer enough. The marketing leaders who will drive results over the next three to five years are the ones who understand AI-mediated discovery, can build signal infrastructure, and know how to connect marketing activity directly
Product marketing is easy to confuse with messaging. At scale, it is a behavioral system. Whether the product is a payment solution, workflow tool, subscription platform, or financial service, adoption does not happen because of launches. It happens when value is clear, friction is low, and trust is high. The teams that understand this build
Most teams say they want attributable growth.
What they actually have is channel reporting.
There’s a difference.
Reporting tells you what ran.
An attributable demand engine tells you what reliably produces pipeline.
Modern demand gen isn’t about more campaigns.
It’s about signal architecture:
• Precise ICP tiers
• Behavioral weighting
• Revenue feedback loops
• Sales-aligned signal definitions
If you’re still debating attribution models without redesigning the engine, you’re optimizing the dashboard.