CORE INSIGHT:
Everyone is arguing about which AI tools to buy.
The real fight is where the humans sit.
Conrad Goldstein mapped GTM org design across AI-native companies and found no consensus. Anthropic, OpenAI and Cohere put forward-deployed engineers in three different reporting lines. Support headcount runs at a third of the norm. And the companies selling automation doubled SDR hiring while the wider market cut it 21%.
The napkin test still applies. If your CRO cannot draw the 2027 org, you have a leadership development problem, not a tooling one.
GTM Org Design at AI-Native Companies — Conrad Goldstein
Other links and useful reads:
- Outcome-Based Pricing in Practice — Utpal Dholakia
What Zendesk, HubSpot and Salesforce actually charge per “outcome”, and why nobody can define one.
- The 2026 Revenue Scorecard — Jeff Ignacio
The five numbers boards now read as one system. Bookmark this before your next pack review.
- Intuit Cut 3,000 Jobs and Repriced Its Entire AI Model
What it looks like when a public company rebuilds pricing and org in the same quarter.
- “Being Seen” Stopped Working — Good Insight Weekly
Your brand’s new job: make the AI’s shortlist, or be the thing it can’t fake.
- 28 B2B Marketing Statistics From 2026 So Far — Sword and the Script
The AI numbers will not comfort your CMO. Useful ammunition for the next budget debate.
SHORT GTM SNIPPETS:
On the org chart nobody agrees on:
There is no reference org chart for agentic GTM. Anthropic, OpenAI and Cohere put their forward-deployed engineers in three different reporting lines, and all three are growing. That tells you the operating model is still being invented, which means your portfolio CRO copying a 2022 RevOps chart is copying the wrong decade. Board question: “Show me the org you’d build if you started today.” If the answer is the current org, dig.
On pricing legibility:
Outcome pricing has an audit problem. Zendesk books a $2 resolution when a customer goes quiet for 72 hours. Quiet is not the same as happy. If a portfolio company sells outcome-priced AI, someone on the board should ask who verifies the outcome, because that definition is now the revenue recognition policy. If it buys outcome-priced AI, same question in reverse.
On leverage per head:
High AI-adopters generate roughly $640K net new ARR per GTM head. The rest sit near $370K. That is not a talent gap, it is an operating model gap, and it is why the leaders we promoted for growing headcount need a different scorecard now. Succession reviews in 2026, not 2027.