We replaced our sales team with 20 AI agents—here’s what happened | Jason Lemkin (SaaStr)
Episode
102 min
Read time
2 min
Topics
Career Growth, Leadership, Marketing
AI-Generated Summary
Key Takeaways
- ✓AI Sales Team Structure: SaaStr reduced from 10 full-time sales staff to one account executive plus 20% of a Chief AI Officer's time managing 20 specialized agents for outbound, inbound qualification, support, and reactivation. Performance matches the previous human team while operating 24/7 with no vacation time or turnover issues.
- ✓Agent Training Requirements: Successful AI agent deployment requires 30 days of daily training, spending 1-2 hours correcting mistakes and refining responses. Upload your best salesperson's email templates and scripts as training data, then iterate continuously. Agents need forward-deployed engineers from vendors to assist with initial setup and ingestion of company data.
- ✓Vendor Selection Criteria: Choose AI agent vendors based on implementation support quality over feature comparisons, as products run on similar underlying technology like Claude 4. Artisan and Qualified won SaaStr's business by offering hands-on training help, while competitors demanded $100k upfront or declined due to PR risk concerns about potential failures.
- ✓Job Displacement Timeline: Email-based SDRs and inbound lead qualifiers face 90% displacement within 12 months, as AI handles these functions better than mediocre humans. Account executives remain 70% safe currently, declining to 40-50% safe by late 2026. Field sales and door-knocking roles show minimal AI impact due to in-person requirements and regulatory constraints.
- ✓Career Survival Strategy: Sales professionals should personally deploy one AI agent themselves, handling data ingestion, training, and iteration for 30-60 hours to become hyper-employable. Future high-value SDRs will earn $250k annually managing 10 agents instead of people, requiring technical fluency over being a people person. Avoid waiting for agencies or team members to implement.
What It Covers
Jason Lemkin replaced SaaStr's 10-person sales team with 1.2 humans and 20 AI agents, achieving similar revenue performance. He shares implementation lessons, vendor selection criteria, training requirements, and predictions for how AI will eliminate entry-level sales roles while increasing demand for senior talent.
Key Questions Answered
- •AI Sales Team Structure: SaaStr reduced from 10 full-time sales staff to one account executive plus 20% of a Chief AI Officer's time managing 20 specialized agents for outbound, inbound qualification, support, and reactivation. Performance matches the previous human team while operating 24/7 with no vacation time or turnover issues.
- •Agent Training Requirements: Successful AI agent deployment requires 30 days of daily training, spending 1-2 hours correcting mistakes and refining responses. Upload your best salesperson's email templates and scripts as training data, then iterate continuously. Agents need forward-deployed engineers from vendors to assist with initial setup and ingestion of company data.
- •Vendor Selection Criteria: Choose AI agent vendors based on implementation support quality over feature comparisons, as products run on similar underlying technology like Claude 4. Artisan and Qualified won SaaStr's business by offering hands-on training help, while competitors demanded $100k upfront or declined due to PR risk concerns about potential failures.
- •Job Displacement Timeline: Email-based SDRs and inbound lead qualifiers face 90% displacement within 12 months, as AI handles these functions better than mediocre humans. Account executives remain 70% safe currently, declining to 40-50% safe by late 2026. Field sales and door-knocking roles show minimal AI impact due to in-person requirements and regulatory constraints.
- •Career Survival Strategy: Sales professionals should personally deploy one AI agent themselves, handling data ingestion, training, and iteration for 30-60 hours to become hyper-employable. Future high-value SDRs will earn $250k annually managing 10 agents instead of people, requiring technical fluency over being a people person. Avoid waiting for agencies or team members to implement.
Notable Moment
SaaStr deployed an AI agent to re-engage leads that human salespeople deemed too low-value to pursue, achieving a 70% response rate from prospects who had previously contacted the company but were ignored. This revealed how much potential revenue gets abandoned when commission-focused humans prioritize only their largest opportunities.
Episode Transcript
Used to have about 10 people full time. Now you have 1.2 humans, 20 agents. We have 10 desks that used to be go to market people. They're all just labeled with our agents. Repli for replit, quali for qualified, arti for artisan, agent force 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. The business is doing very similarly to what it was when you had 10 humans. 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 gonna hire someone that after their third month in the job doesn't know what Sastr does. I just can't do that. AI AI is replacing the jobs people don't wanna do today, and it is displacing the mid pack and the mediocre. How do you see the future of the sales profession? 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 me's that we see, we have no need for them today. They should be extinct next year. Someone's listening to this like, oh, man. My job is in trouble. If you can go do this, you're hyper employable. Today, my guest is Jason Lemkin, founder and CEO of SaaStr, the world largest community for b to b 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 org. 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 a sales team, and so much more. This episode is going to get your mind spinning …
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Books, tools, and gear mentioned in this episode
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Tools
- ArtisanRecommended
“Artisan and Qualified won SaaStr's business by offering hands-on training help, while competitors demanded $100k upfront or declined due to PR risk concerns about potential failures.”
- QualifiedRecommended
“Artisan and Qualified won SaaStr's business by offering hands-on training help, while competitors demanded $100k upfront or declined due to PR risk concerns about potential failures.”
“Choose AI agent vendors based on implementation support quality over feature comparisons, as products run on similar underlying technology like Claude 4.”
“Sponsors: Datadog (https://datadoghq.com/lenny)”
“Sponsors: DX (https://getdx.com/lenny)”
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