The Marketing Workflow That Will Disappear Completely Over the Next 3 Years #1

Introduction #2

Brendan Farnand, Co-founder and Chief Evangelist at Knak, has spent the past year in conversation with more than 100 enterprise marketing teams—including OpenAI, Google, Stripe, and AT&T—to understand where AI actually helps, where it breaks down, and what separates companies merely experimenting with AI from the ones shipping better marketing. As a product marketing leader who bridges strategy and execution, Brendan brings a rare perspective on how campaigns should function in the AI era. This conversation digs into what that shift means for the teams building modern marketing.

What Separates Experimentation From Execution #3

The gap Brendan keeps returning to isn't about which tools a team has adopted—it's about whether AI is actually changing how work gets shipped. Plenty of organizations are ru ing pilots and testing prompts, but far fewer have translated that experimentation into repeatable production. The distinction matters because AI's value in marketing isn't theoretical; it shows up in the speed and quality of the assets that reach customers. Marketers who understand that difference are the ones pulling ahead.

Learning From 100+ Enterprise Teams #4

Brendan's research approach is worth noting on its own. Rather than speculating about AI's impact, he went directly to the teams doing the work at some of the most sophisticated companies in the world. That kind of grounded, practitioner-first insight is exactly what busy marketing leaders need—less prediction, more pattern recognition from teams already operating at scale.

Ditch the Sales Pitch, Deliver the Takeaway #5

One theme that came through clearly was Brendan's philosophy on delivering value, shaped by his experience speaking at Adobe Summit, Salesforce Co ections, and the MarTech Conference. When asked about the biggest mistake conference speakers make, his answer was direct: the full-on sales pitch. "You walk out of a conference session going, oh my gosh, they're just pitching their tool from top to bottom," is how the frustration gets described—and it's a trap Brendan works hard to avoid.

Relevance Over Roadmap #6

"Whatever I'm saying... is really relevant to people and they can actually bring something back with them that is useful to their organization," Brendan explains. That principle applies well beyond the conference stage. For marketing leaders evaluating vendors, partners, and their own internal communications, the lesson is the same: audiences remember what they can use, not what you're selling. The teams that internalize this build trust—the teams that don't get tuned out.

Why This Matters for Marketing Leaders #7

For mid-market and enterprise marketers, the pressure to prove ROI while keeping pace with AI is real. Brendan's central point—that shipping matters more than experimenting—reframes the question every team should be asking. It's not "are we using AI?" but "is AI making our marketing measurably better and faster?" Production platforms and workflow tools only earn their keep when they translate capability into on-brand assets that reach the market quickly, without waiting on developer support or manual bottlenecks.

Key Takeaways #8

The line between AI experimentation and AI execution is the one worth watching over the next three years. First, treat AI as a production capability, not a novelty—measure it by shipped work, not pilot activity. Second, learn from teams already operating at scale rather than speculating in isolation. Third, whether you're presenting to a conference audience or a customer, lead with relevance and actionable value, never a pitch. As Brendan's work makes clear, the marketers who win aren't the ones with the most tools—they're the ones translating capability into results. My advice is to just focus on keeping your customers happy.