We replaced our sales team with 20 AI agents—here’s what happened next | Jason Lemkin (SaaStr)

We replaced our sales team with 20 AI agents—here’s what happened next | Jason Lemkin (SaaStr)

Lenny's PodcastJan 1, 20261h 42m

Lenny Rachitsky (host), Jason Lemkin (guest)

How SaaStr replaced most of its sales team with AI agentsImpact of AI on SDR, BDR, and AE roles and careersDesign, training, and orchestration of sales and support agentsNew GTM roles: chief AI officer and forward deployed engineersAI’s effect on go‑to‑market playbooks, efficiency, and growth bifurcationPractical vendor selection and implementation lessons for AI GTM toolsBroader future of sales, job risk, and how to stay employable

In this episode of Lenny's Podcast, featuring Lenny Rachitsky and Jason Lemkin, We replaced our sales team with 20 AI agents—here’s what happened next | Jason Lemkin (SaaStr) explores inside SaaStr’s radical experiment: 20 AI agents, 1.2 humans This episode explores how Jason Lemkin transformed SaaStr’s sales org from roughly 10 humans (SDRs and AEs) to 1.2 humans and 20 AI agents, with overall sales performance remaining roughly the same but at far higher efficiency. He breaks down the specific agents they use for outbound, inbound, reactivation, and support, and explains why AI is rapidly replacing mediocre and entry‑level sales roles while amplifying the best reps. The conversation zooms out to how AI is reshaping go‑to‑market playbooks, what new roles (like forward deployed engineers and chief AI orchestrators) look like, and how individual sellers and leaders can stay relevant. Throughout, Jason stresses that AI GTM works only when you deeply train, QA, and own the agents—turn‑it‑on-and-pray does not work—and argues that this is likely the most exciting era ever for software and sales.

Inside SaaStr’s radical experiment: 20 AI agents, 1.2 humans

This episode explores how Jason Lemkin transformed SaaStr’s sales org from roughly 10 humans (SDRs and AEs) to 1.2 humans and 20 AI agents, with overall sales performance remaining roughly the same but at far higher efficiency. He breaks down the specific agents they use for outbound, inbound, reactivation, and support, and explains why AI is rapidly replacing mediocre and entry‑level sales roles while amplifying the best reps. The conversation zooms out to how AI is reshaping go‑to‑market playbooks, what new roles (like forward deployed engineers and chief AI orchestrators) look like, and how individual sellers and leaders can stay relevant. Throughout, Jason stresses that AI GTM works only when you deeply train, QA, and own the agents—turn‑it‑on-and-pray does not work—and argues that this is likely the most exciting era ever for software and sales.

Key Takeaways

AI can now match a mid-sized sales team’s output with far fewer humans

SaaStr went from ~10 GTM people (2–3 SDRs, up to 5–6 AEs) to 1 full-time AE, a part-time Chief AI Officer (0. ...

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Entry-level email-based SDR and BDR roles are the first to be displaced

Jason expects 90% of classic SDRs who send email cadences and most human “contact me” qualifiers to be obsolete within 12 months, as agents already do faster, better inbound qualification and outbound email at scale.

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The winners in sales will be those who learn to orchestrate agents

Future top SDRs/AEs will manage fleets of agents (e. ...

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AI GTM only works if you deeply train and QA the agents

Successful deployments required ingesting real company data, encoding the best reps’ copy and scripts, answering iterative training questions, and daily QA for ~30 days; turning tools on “out of the box” consistently fails.

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Vendor choice should prioritize hands-on implementation help, not just features

Because training, orchestration, and iteration are heavy, the most important selection criterion is a vendor that provides strong forward deployed engineers / solutions partners who will actually co‑deploy and tune the agent with you.

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Support and mid-funnel use cases are ripe for AI right now

Digital Jason started as a content clone and organically evolved into a 24/7 support and basic sales agent that answers event questions and even closed a $70K sponsorship, showing how support and basic selling are already automatable.

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For leaders and reps, hands-on AI deployment is the new career moat

Jason argues that if you pick any leading agent vendor, personally ingest your data, train, deploy, and iterate an agent into production, you become “hyper-employable” as a GTM leader in the 2026+ market.

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Notable Quotes

“We’re done with hiring humans in sales. We’re done.”

Jason Lemkin

“1.2 humans plus 20 AI agents is doing about what ten human GTMs did.”

Jason Lemkin

“AI is replacing the jobs people don’t want to do today—and it is displacing the mid-pack and the mediocre.”

Jason Lemkin

“If you can close on a text message, AI can close it.”

Jason Lemkin

“If you can go do this and get it live into production, you’re hyper employable.”

Jason Lemkin

Questions Answered in This Episode

How exactly are SaaStr’s different agents (outbound, inbound, reactivation, support) configured and measured day-to-day?

This episode explores how Jason Lemkin transformed SaaStr’s sales org from roughly 10 humans (SDRs and AEs) to 1. ...

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What does a 30-day agent training and QA schedule look like in practice for a small or mid-sized startup?

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How should an early-stage founder decide when it’s time to hire human SDRs/AEs versus investing in AI agents first?

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What skills and experiences will define the new “elite AE” five years from now in an AI-heavy sales environment?

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How can companies ethically manage AI-driven productivity gains without blindsiding existing employees or eroding trust?

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Transcript Preview

Lenny Rachitsky

You used to have about 10 people full time. Now you have 1.2 humans, 20 agents.

Jason Lemkin

We have 10 desks that used to be go-to-market people. They're all just labeled with our agents. Reple for Replit, Quali for Qualified, Arti for Artisan. AgentFour needs a nickname. Agents work all night and they work weekends and they work on Christmas. We're done with hiring humans in sales. We're done.

Lenny Rachitsky

The business is doing very similarly to what it was when you had 10 humans.

Jason Lemkin

If I had two more great humans that wanted to join, don't get me wrong, I would hire them tomorrow. But I'm not going to hire someone that after their third month on the job doesn't know what SaaStr does. I just can't do that. AI is replacing the jobs people don't want to do today, and it is displacing the mid-pack and the mediocre.

Lenny Rachitsky

How do you see the future of the sales profession?

Jason Lemkin

We should have $250,000 a year SDRs, but they'd be like at Vercel, they'd be managing 10 agents, not 10 people. The classic SDR junior kid that is hired out of college to send emails, we don't need them. Folks that qualify leads coming in, the contact mes that we see, we have no need for them today. They should be extinct next year.

Lenny Rachitsky

Someone's listening to this like, "Oh man, my job is in trouble."

Jason Lemkin

If you can go do this, you're hyper employable.

Lenny Rachitsky

Today my guest is Jason Lemkin, founder and CEO of SaaStr, the world's largest community for B2B founders, and one of my absolute favorite sales and go-to-market minds on the planet. Jason is not only deeply knowledgeable about everything sales, he's also extremely articulate and direct, and is also now personally going super deep on what AI can do for a sales work. He's transformed his own SaaStr sales team from around 10 SDRs and AEs to one full-time AE, a part-time chief of AI named Amelia, and 20 AI agents. He is seeing the same performance from his AI team as he saw with his former human team, and he's just getting started. These are my favorite kinds of conversations because the guest is living in the future and comes here to show us what the future is like, where we're headed, and how we can get there ourselves, and also just how to avoid all the pitfalls that he had to deal with along the way. We cover all of the things that he has learned about where sales and go-to-market is going in the AI age. He gives a bunch of advice for salespeople and the future of their careers, the future of the go-to-market org, how to win as an AI startup right now, what tools he's finding most useful, what it took to shift his sales team, and so much more. This episode is going to get your mind spinning in the best way possible. If you enjoy this podcast, don't forget to subscribe and follow it in your favorite podcasting app or YouTube. It helps tremendously. And if you become an annual subscriber of my newsletter, you get 19 premium products for free for an entire year, including a year free of Lovable, Replit, Bolt, n8n, Gamma, Linear, Devin, PostHoc, Superhuman, Descript, Whisperflow, Perplexity, Warp, Granola, Magic Patterns, Raycast, ChatBRD, Mobben, and Stripe Atlas. Head on over to lennysnewsletter.com and click Product Pass. With that, I bring you Jason Lemkin, after a short word from our sponsors. Today's episode is brought to you by DX, the developer intelligence platform designed by leading researchers. To thrive in the AI era, organizations need to adapt quickly, but many organization leaders struggle to answer pressing questions like, which tools are working? How are they being used? What's actually driving value? DX provides the data and insights that leaders need to navigate this shift. With DX, companies like Dropbox, Booking.com, Adyen, and Intercom get a deep understanding of how AI is providing value to their developers and what impact AI is having on engineering productivity. To learn more, visit DX's website at getdx.com/lenny. That's getdx.com/lenny. This episode is brought to you by V0 from Vercel. V0 is the web development assistant designed for professionals of all technical backgrounds. Whether you're a product manager, designer, or developer, transform how you bring products to life. With V0, everybody can cook. Don't just show up to reviews with docs and ideas. Arrive with working prototypes that demonstrate real functionality. V0 drafts project plans, generates interactive interfaces, and builds full stack applications without writing a single line of code. And with features like AI and database integration, screenshot import, and sync with GitHub, V0 helps reduce development bottlenecks and enhance collaboration between technical and non-technical team members. The result? Faster iteration and a shorter path from idea to implementation. Vercel built V0 for the builders who want to create at the moment of inspiration. If you can dream it, you can ship it. Visit vercel.com/lenny to get started. That's vercel.com/lenny. Jason, thank you so much for being here and welcome back to the podcast.

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