Future of CRM to AI Trials:
revisiting debates from Q1

This Q1, I questioned the community on pipeline channels, the future of CRM, AI outbound, GTM roles on the chopping block, side projects nobody knew about, and a fight over whether your reps should be building AI agents or just using them.

The community had receipts on all of it.
Here's the quarter in the threads that mattered.

What channel is actually driving pipeline right now?

Outbound edged LinkedIn. Events tied it. And 8 people voted "other" which turned into the most interesting part of the thread.

Victor Vatus answered in nine letters.

70% of his revenue comes from referral partnerships. He pays 20% kickback when the industry standard is 10%. The pipeline comes to him.

Which GTM role does AI replace first?

SDR/BDR ran away with it. Then Kevin French walked in and reframed everything.

The role isn't the variable. The operating mode is. Any role built around execution is at risk. Any role built around judgment survives. He wrote a book on it.

GTM by day, founders by night

Reviewing new member profiles, I noticed something. A lot of people joining RevGenius list themselves as founders for side projects. So I asked what they were building.

Demet is building a knowledge-base-in-a-box so other teams don't need an entire engineering team to do what she did. Built from a problem she actually lived.

The future of CRM…

Evan Dunn called Salesforce a dinosaur. Pat Hopkins declared HubSpot the only answer. Nathan Rupert said Salesforce is no longer functional software.

And then..

Build or use? GTM teams picked sides

The question came from something I've been wrestling with myself. Nobody landed on the same answer.

Then the sharpest take came from Rasmus Klärck.

Teams that say "build" almost always mean "configure." Teams that say "use" underestimate what using well actually requires. The hard part isn't generating a follow-up draft. It's knowing which deals are actually at risk, what the account's last 60 days looked like, and who on the team should act. GTM teams don't need AI engineering. They need AI judgment.

Outbound is on trial

Vern Hubbard ran 7,000 AI-personalized emails across six personas over four months. Zero positive responses. Switched to human-built messaging. Immediately started getting replies.

AI will tee it up. You still have to hit the ball.

Claude won the LLM vote.
Which one is your GTM team actually running on? 

This is the question that began the weekly GTM debate streak that the RG community is now on.

Claude dominated. But the workflows people shared were the real value. Santtu Koivumäki's was the best one in the thread.

Now it's time as we end Q1…

What's your #1 one focus this quarter? 

Upcoming Events

From ChatGPT to Fully Autonomous Software

There are three levels of working with AI. Most teams are stuck at level one.
In this session, Dani Shvarts breaks down the difference live, then builds a fully autonomous mini SDR machine from scratch, showing you exactly what separates a system that thinks, decides, and executes on its own from everything most teams have tried before.

Build Real GTM Tools with AI

Most GTM stacks have a dozen tools and still can't do exactly what the team needs. In this webinar, RevGenius and Softr show RevOps and GTM leaders how to build internal tools that actually run their operations, from onboarding portals to sales dashboards and GTM knowledge bases, connected to real data, with role-based access controls, and no developers required. If your team is living in spreadsheets and manual workarounds, this one is for you.

Your Million Dollar Blindspot: Selling to Buyers Who Hate Sales Pitches

Today's buyers have already made up their mind before your rep gets on the call. They do not want the pitch, the deck, or the discovery process. They want to move at their own pace and buy on their terms. In this webinar, Rex Galbraith and Betty Mok from Consensus break down how to sell to buyers who hate being sold to: who not to chase, why gating content kills pipeline, and how to map the full buying group before they ghost you.

Funding Announcements

• Omni raises $120M Series C for enterprise AI analytics

• Orkes raises $60M Series B to power reliable AI and agentic workflows

• DOJO AI raises $6M seed for agentic marketing automation

• Cloneable raises $4.6M seed for industrial AI agents

GTM Hot Jobs from RevOps Pipeline

• Product Marketing Manager - Perplexity - $220K - $290K - Apply

• Head of Sales - Snowball - $150K - $250K - Apply

• Sales Development Representative - HappyRobot - $95K - $140K - Apply

• Head of Partner Success - Anthropic - $300K - $355K - Apply

• GTM Engineer - Sybill - $100K - $150K - Apply

• Director, Business Operations - Retool - $242K - $325K - Apply

• Brand Marketing - Trayo AI -  $120K - $150K - Apply

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