Here’s a confession from someone who has spent thirty years at the intersection of marketing and technology: I’ve never seen a marketing automation platform close a deal that a human relationship didn’t open.
That’s not a knock on the tools. I’ve championed technology my entire career, from the early days of social media at Fidelity Investments, to scaling a healthcare communications firm from $47 million to a multibillion-dollar enterprise, to my current work advising companies on how to grow. Along the way, I’ve been an early adopter of every major platform shift: social, mobile, podcasting, and now generative AI. But I also believe we’re in danger of automating away the very thing that makes marketing work.
The Signal-to-Noise Problem Is About to Get Worse
As agentic AI takes over more of the marketing stack — content creation, outreach sequencing, customer journey orchestration — the volume of personalized-but-not-really communications is going to skyrocket. Your prospects already receive dozens of “hyper-personalized” emails a week that feel anything but. That gap between automated personalization and genuine human attention is only going to widen.
The CMOs who win the next decade won’t be the ones with the most sophisticated tech stack. They’ll be the ones who figured out how to make their human layer a competitive differentiator before everyone else automated theirs away.
What I Call the Connector’s Code
Over the course of my career, I’ve thought a lot about what separates the marketing leaders who seem to have an uncanny ability to get things done. From those who can open doors, move organizations and build the kind of trust that turns clients into advocates, from those who can’t. It’s not charisma. It’s not their LinkedIn following. It’s a set of habits I’ve come to call the Connector’s Code.
The code is built on three practices that are simple to describe and surprisingly hard to sustain:
- Make the introduction first – Before you need anything, be the person who connects two people who should know each other. Do it with no agenda. The relationship capital this builds compounds over years in ways that are genuinely difficult to quantify but impossible to miss.
- Show your work in public – Share what you’re learning, amplify others’ thinking, and be generous with credit. This isn’t personal branding theater — it’s intellectual generosity that signals to your network what you care about and what you’re good for.
- Keep score in gratitude, not favors owed – The CMOs I’ve admired most don’t think in transactions. They think in relationships. The thank-you note, the public shout-out, the quick message that says “I saw this and thought of you” — these aren’t soft gestures. They’re the operating system of a career that compounds.
Humanity Is the Sharpest Edge You’ve Got
Here’s the thing about marketing automation: it works best when it extends real relationships, not when it replaces them. The email sequence that converts is the one following a conversation that actually happened. The case study that lands is the one the client was proud to contribute to because they felt genuinely partnered with, not just managed.
I’ve seen this dynamic play out in boardrooms, agency pitches, and product launches. When a client picks your firm over a competitor with a shinier tech demo, it’s almost never because of the tech. It’s because someone on your team made them feel like they were the only client in the room.
That is not something you can automate. But it is something you can systematize… which is the distinction that matters for CMOs thinking at scale.
Three Moves You Can Start Doing Today
You don’t have to choose between investing in AI and investing in human connection. In fact, the best use of AI in marketing is to free your people up to do more of the high-trust, high-value work that no model can replicate. But that only works if you’re intentional about it.
Start with building a weekly cadence of three value-forward touches: 1) sharing a useful article, 2) making an introduction, or 3) acknowledging someone’s work publicly before making a single ask. Create internal rituals that recognize the people doing invisible but essential work. And the next time you’re evaluating a new tool, ask not just what it automates, but how it frees your team to be the most effective humans they can be.
