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Jason Lemkin: How 1.2 humans and 20 AI agents replaced sales

How outbound, inbound, and reactivation agents matched a 10-person sales team; just 1.2 humans replaced sales, displacing entry-level SDRs and BDRs first.

Lenny RachitskyhostJason Lemkinguest
Dec 31, 20251h 42mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

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

  1. 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.

IDEAS WORTH REMEMBERING

5 ideas

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 (0.2 FTE), and 20 AI agents, with roughly equivalent revenue performance but much higher efficiency and scalability.

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.

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

Future top SDRs/AEs will manage fleets of agents (e.g., 10 agents instead of 10 people), know their product deeply, and embrace AI tooling, while “I’m a people person” generalists without technical or process depth become less valuable.

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.

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.

WORDS WORTH SAVING

5 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

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

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