May 28, 2025 · 57m · saastr
AI, Sales + GTM in 2026: This Changes Everything with Jason Lemkin and Owner CRO Kyle Norton
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
SaaStr founder Jason Lemkin and Owner CRO Kyle Norton explore how artificial intelligence is radically reshaping B2B go-to-market strategies, executive leadership, and sales team architectures. They argue that surviving the AI shift requires hands-on technical curiosity from leaders, ruthless operational orchestration, and a structural reimagining of sales reps alongside autonomous AI agents.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Jason holds 53.2% of the talking time here. How this is scored →
Jason as informed peer 6.4 Guest teaching 5.1 Guest disagreement 1.4 Jason pushing back 1.9
speaking balance: gold is Jason, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 51:27 Kyle questions whether CROs must directly manage agents
Kyle pushes back against Jason's assertion that CROs must directly supervise AI agents, arguing that placing agent operations in a dedicated RevOps function yields better operational leverage.
Hardest push from Jason ▶ 52:08 Jason rejects outsourcing AI competence to specialized hiresJason refuses Kyle's framing of hiring a GTM AI lead, comparing it directly to the historical failure pattern of inbound CROs blindly hiring a director of outbound.
Biggest teaching moment ▶ 14:17 Kyle breaks down the management intelligence layerKyle educates on why tool-centric AI deployments fail, explaining how operating methodology and manager calendar redesign must precede AI integration.
Jason holds their own ▶ 44:30 Jason details hands-on Delphi AI self-implementationJason demonstrates his deep practical mastery by explaining how he ingested 17.8 million words and refined prompts solo without relying on agencies or engineering teams.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Jason as informed peer | Guest teaching | Guest disagreement | Jason pushing back | Why |
|---|---|---|---|---|---|---|
| Welcome and Background: Kyle Norton and Owner's Hypergrowth | 6 | 2 | 0 | 0 | Jason sets the stage by detailing Owner's recent one billion dollar valuation and the difficulty of selling vertical SaaS to SMB restaurant owners. Kyle agrees with the framing and highlights his internal mandate for AI adoption. | |
| AI-Native Leadership and Vibe Coding | 6 | 4 | 1 | 1 | Kyle describes vibe coding internal apps in Windsurf as a non-technical CRO and requiring AI proficiency in leadership hires. Jason strongly validates this stance with his own AI tool experiments and organizational deadlines. | |
| Architecting the Modern Rep Tech Stack with Momentum | 5 | 6 | 2 | 3 | Kyle reframes Jason's question regarding IC rep AI curiosity, arguing that in SMB sales RevOps centralizes AI tooling via Momentum so reps can focus strictly on calls. Jason presses on junior rep expectations before Kyle outlines his daily demo targets. | |
| Fixing Follow-Up Friction and the Management Intelligence Layer | 5 | 7 | 1 | 1 | Jason shares anecdotes of terrible AI follow-up emails, prompting Kyle to break down his architectural concept of a management intelligence layer. Kyle explains how aligning manager calendars with automated coaching audits prevents fragmented tooling rollouts. | |
| Fast Sales Cycles, AI Superhumans, and Rep Specialization | 7 | 6 | 2 | 2 | Kyle explains Owner's rapid sales cycles and the rollout of OneMind's AI superhuman alongside hybrid self-serve. Jason and Kyle debate rep specialization versus generalization, both rejecting Brian Halligan's full-cycle rep thesis in favor of specialized AI-human handoffs. | |
| Eradicating Attribution Silos and Evolving Sales Compensation | 6 | 5 | 1 | 2 | Kyle criticizes internal commission and attribution silos between sales and product growth. Jason proposes that base commissions will halve as AI doubles organizational output, with Kyle adding that elite enterprise reps will command even higher compensation. | |
| The Demise of Average Reps and the Reality of AI Iteration | 7 | 6 | 1 | 1 | Jason presents contact center automation data showing the gap between vendor claims and reality. Kyle explains how Owner systematically improved Crescendo AI containment from mediocre baseline to 50 percent through weekly documentation loops, which Jason mirrors with his Delphi training routine. | |
| Automating SDR Qualification and the Challenger Sales Model | 8 | 5 | 2 | 2 | Jason argues that AI qualification will obsolete mediocre BDRs, proving how his Delphi instance answered hundred-page event specs better than humans. Kyle connects effective selling to the Challenger methodology of teaching and taking control rather than generic relationship building. | |
| Vendor Selection, Hybrid Team Management, and Digital SEs on Zoom | 8 | 5 | 3 | 5 | Jason asserts that CROs must directly manage hybrid teams of 50 percent AI agents, pushing back hard when Kyle suggests centralizing agent management under a dedicated GTM AI RevOps lead. Both close by agreeing that digital SE avatars will become standard on live Zoom calls. |
Statements from this episode (27)
Lemkin: Owner raised funding at a $1 billion valuation
“He is the Sierra of owner, which just raised at a billion dollar valuation the other day, this week, Tuesday, you announced it just for SAS.”
Lemkin: Owner's restaurant ACV is approaching $10,000
“The ACV is higher than you might think it's approaching 10 K, but this is a hard sale.”
Norton: Owner Sales Team Is 3x to 4x More Efficient Per Rep Than Competitors
“Our machine is anywhere between three and four times more efficient on a per rep basis.”
Lemkin: Fire Any Executive Who Is Not Deeply Curious About AI by July
“If anyone on your executive team, or honestly, I know this is tough love, anyone on your team that by June, is not deeply curious, like is not pretending to use chat GPT once a week to get recipes... By June, if not, if July won, I would like just start taking…”
Norton: Leadership Hires Must Be Hands-On and AI Native
“In any leadership role, there's a component of the interview that's now, what are you doing with AI? What do you know about it? How are you using it today? And I really want to unpack it. And it's been a mandate. I don't care how good this person is if they're…”
Norton Uses Windsurf and Lever API to Code Internal Analytics
“With Windsurf, I can legitimately, so I've got to get my GitHub repos and I've got it all set up so that I can actually do what I want to do. And so I'm pulling stuff out of the lever API to run analysis on how we're hiring.”
Norton: Owner is hiring a dedicated GTM AI lead in RevOps
“I'm now hiring for a GTMAI lead, so somebody who will do nothing but this within the rev ops organization.”
Norton: Owner increased rep selling time by 25% to 30% via automation
“We've, we're probably up 25 to 30% in terms of the revenue generating activity time because they don't have to fill out CRM after. They don't have to update the notes for the launch team. It's all done.”
Norton: RevOps teams deploy AI tools without designing human follow-up workflows
“I think I see this mistake where you have RevOps people investigating tools and then applying them, but then there's no thought of, okay, how does this get to a rep? How do they follow up? How does the manager then look at what's going on?”
Norton: Owner is building a management intelligence layer to monitor reps
“I'm in the process of building a What I call the management intelligence layer, which is what is the always on layer for the manager to understand what's happening on a rep by rep basis and get prompted when things are either off base or off track and so that …”
Norton: Owner wiped all recurring sales meetings to prioritize coaching
“We spent eight weeks at the beginning of the year redeploying what I call my like core operating methodology. And so we wiped every single meeting off of the calendar, started from a zero base and said, okay, what are the most important activities? Coaching is…”
Norton: Owner's Win Rate Drops Precipitously After Second Call
“If you're not closing a call on the demo, it's usually on that follow-up call. And if you're not getting them on that follow-up call, the win rate falls precipitously.”
Lemkin: Top 10% of Sales Reps Close 65% of Deals (Clari Data)
“Clary just published this data. Maybe you saw it too, right? I always knew this, but man, this is stark. Clary's, Clary, I think it was like a million opportunities or something. The top 10% of reps close 65% of deals.”
Norton: Full-Cycle Rep Models Fail Because Account Executives Avoid Cold Prospecting
“I'm not into the full cycle rep because I believe much more in specialization. A's don't want to prospect. Cold calling's hard.”
Lemkin: AI in Sales Will Drive a Renaissance in Self-Serve and PLG
“I think AI in sales, I have a slide later we probably won't get to, is going to lead to a big renaissance in self-serve and PLG. Because if you want an AI to close a deal, it can't be a three-year contract arguing over discounts and terms. The AI has to be abl…”
Norton: Channel Attribution Leads to Local Maxima Decisions Over Enterprise Value
“I'm very anti-attribution in general. Like, I think we get into problems where we say, oh, this is a marketing-attributed sourced deal versus a sales-attributed one. You end up making local maxima decisions as opposed to saying, all right, how do we maximize t…”
Lemkin: Sales Commission Rates Will Halve by End of 2026
“I actually think what's going to happen because of attribution is commissions are going to have by the end of next year. Because this is how the math is going to work. You're going to get credit for the It's not just PLG. You're going to get credit for Kyle's …”
Norton: AI Leverage Will Push Elite Enterprise Seller Comp from $350K to $500K
“If you have an elite mid-market and enterprise seller, they will have so much more leverage with all of these tools that the competitive dynamic will say, but it was only that seller was worth 350 K to me before, but now look at what they're going to produce. …”
Lemkin: Mediocre sales reps will lose their jobs within a year to AI
“I don't think they have a job next year. I think most, I think they're going to quickly lose all and they're not going, and I don't think they're going to step up and become AI experts.”
Norton: Owner resolves nearly 50% of tier-one support tickets with AI
“And now like almost 50% of our tier one support tickets are AI contained.”
Lemkin: SaaStr LinkedIn Poll Found Only 2% Make AI SDRs Work
“Tomas Tungas came and said he did this survey and no one could get them to work. I didn't have an opinion, but I did it on our LinkedIn poll. We had 3000 folks. Only two percent folks said they get the AISD work.”
Lemkin: Buyers Will Prefer Great AI Over Human Sales Reps
“This is one of my top learnings from RAI from these conversations is that people there'll, and for a lot of reasons will prefer to talk to a great AI.”
Lemkin: Sales AI Lags Coding AI Due to Founder Quality
“The only reason sales tools aren't as good as Windsurf is because Varun isn't building a lot of them. Okay. I just think, and there's no criticism. I love everyone that's here. There aren't enough S tier founders.”
Norton: 50% of sales deals will close in one to two calls
“Depends on the time horizon. It will be 50%. Is that in six months, 12 months, 24 months? It is an eventuality.”
Lemkin: CROs must manage 50/50 AI and human teams by year-end
“I think this year, To be a RevOps professional imminently in a CRO by the end of this year, you will have to know how to manage a fifty-fifty team. 50% AI, 50% human. Not just tools, but you will have to learn how to manage agents, agents, AIs, whether that's …”
Norton: Relationship-only CROs will not survive the next decade
“You need to be a highly systems engineering focused CRO to survive over the next two to five to 10 years. Yeah. If you don't have the acumen to be able to understand how customer journey connects to systems and infrastructure and connects to the rep process, A…”
Lemkin: Digital AI sales engineers will soon join live sales calls
“I think A digital SE like this is Brian Halligan's digital one on Delphi is going to come to the zooms. The human it's a person is going to be there. And I brought this up and Dara said, give me another release and this will be full duplex. Like my AI and Bria…”