The Revenue AI Report

The vision

The Revenue AI Report is the only publication treating AI-era revenue as one connected system, and the only one publishing what's failing in it.

AI and GTM expert with 15+ years in revenue excellence and GTM strategy. Revenue leader at 1mind, previously led marketing at Momentum (recently acquired by Salesforce). Has consulted hundreds of companies and CRO/CMO leaders on GTM AI strategy over the last four years and spoken at HumanX, Forrester, Domo, and AI4.

Founder of the GTM AI Academy, with 10,000+ leaders and operators as students. Writes Elite Growth on what's actually working at the intersection of AI and go-to-market for modern C-suite leaders.

The B2B revenue world is rebuilding itself in real time. Every function that touches the number is being reshaped by AI faster than any of us are ready for. That includes Sales, Marketing, RevOps, Enablement, Customer Success, and Partnerships. The Revenue AI Report exists to publish the truth about it: receipts, not theory.

The four beliefs

We will not compromise on these.

01

Receipts beat theory.

A real number from a real operator beats a thousand thought-leadership posts. We publish what is happening, not what is possible.

02

Revenue is a team sport.

Sales doesn't own revenue. The entire GTM org does. If your job touches the number, this newsletter is for you.

03

The problem is almost never the AI.

Bad process plus AI is faster bad process. We diagnose the system, then talk about the tools.

04

Honesty is the moat.

We publish what's failing as readily as what's working. We refuse vendor PR. That discipline is the entire defensibility of this property.

Built for

The operator who is tired of being sold to.

  • The CRO who wants to know what the AI SDR actually did before they buy one.
  • The RevOps leader who wants the stack diagram, not the pitch deck.
  • The enablement leader who wants ramp numbers, not vendor logos.
  • The CMO who wants to know how attribution survives an agentic buyer.
  • The founder who wants to know what their peers tried, what broke, and what they would do differently.
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