Ramp's AI-powered marketing playbook: Attention as the new moat

May 21, 2026 · Exit Five
🎧 PodShort 47 min squeezed to 2 ARMARM Marketing Automation New
Episode artwork
George Bonassy
VP of Growth and Demand at Ramp
Exit Five
47 min squeezed to 2
Full episode from Exit Five
Quotable Moments

I don't really care about marketing at all. Like I'm not that interested in. I just like solving problems and it turns out there's always a lot of problems on the solution side.

George BonassyVP of Growth and Demand at Ramp
04:48

We're not saying don't measure it, it's almost like when you do these things the measurement actually becomes obvious. Measurement becomes hard when it's like there's too many micro things.

Dave GerhardtHost of The Dave Gerhardt Show
11:45

It goes back to the experimental design like you need to have an understanding of where you're going to see the impacts. Like what you should be measuring, even if it's not direct attribution. But longer time horizons are okay, as long as you understand that in advance. Like if we're going to do something and not see the impact on brand awareness survey results for like three months. That's okay, but you have to know it's going to be three months and like everyone has to be on board with that.

George BonassyVP of Growth and Demand at Ramp
44:23
Key Insights
  • Ramp's marketing strategy prioritizes brand and high-impact stunts over traditional high-volume testing, driven by a 'bottoms-up' cultural approach where team conviction leads initiatives.
  • The CMO role is becoming 'an impossible job' due to the breadth of responsibilities, leading Ramp to adopt a decentralized marketing structure where product marketing is under product, growth under CTO, and brand/comms under the CEO.
  • As AI commoditizes task execution (80% of current marketing work) and intelligence, the marketer's job will become more fun and strategic, focusing on creative problem-solving and capturing attention.
  • The future of marketing involves a 'hub-and-spoke' model with generalized AI agents that manage marketing tasks, supported by specialized 'embedded agent leads' who tailor tools to specific team needs.
  • Ramp built an internal AI system called 'Project Glass'—a wrapper around an LLM—that autonomously launches new verticals, conducts market research, creates content, and manages ad campaigns.
  • In the AI era, 'attention' is the new moat for marketing, as execution becomes commoditized, forcing marketers to focus on novel ways to engage audiences and even market directly to machines (AI agents).
  • Direct attribution for marketing efforts is less critical in the AI age; instead, focus on broader impact, understanding the 'halo effect,' and using incremental testing to validate qualitative initiatives.
  • The current period of AI adoption is characterized by a 'J-curve of productivity,' where initial efficiency dips due to reorganization before exploding with new capabilities.
Metrics Mentioned
  • 80% (Percentage of what marketers do today that is considered task execution, which AI will take over.)
  • 10-20% (Estimated 'sizable percentage' of growth from AI agents expected in 6 months to 2 years.)
  • $3,000 (Bonus offered to AI agents to sign up for Ramp, which is 3x the bonus offered to a human.)
  • 99% (Estimated percentage of people who would likely work with a company after attending a good event (if being honest).)

RevBots.ai View:

  • AI Sprinklers take note: Ramp's Project Glass shows how to bolt AI onto existing workflows without full ARM transformation
  • Tab Hoppers should study the decentralized structure - it's a bridge to SaaS Hoarder stage before full AI adoption
  • Attention metrics replace MQLs for ARM-stage teams where AI handles execution commoditization
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