[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  Jason ✨👾SaaStr.Ai✨ Lemkin [@jasonlk](/creator/twitter/jasonlk) on x 209.3K followers Created: 2025-07-15 17:05:00 UTC A quick summary of what you can and can’t replace with AI today: - Outbound SDRs: you can replace most SDRs with AI today, possibly XXX% … but you still need humans managing it. IF you truly go deep, train a platform, and orchestrate it >daily<. But this requires a human and later a team to manage it. Every single day. You can’t just push a button. - Inbound BDRs: you can replace almost all of them with AI. If it’s well trained. An AI should be able to qualify a lead faster and better than XX% of BDRs can. Today. You do need to keep training it, and checking it, and updating it. Every day at first, perhaps less later. - Customer Support: you can replace XX% of your support team with AI today IF you invest. But again, only if you go deep, train a platform, orchestrate it >daily< AND create a very responsive human-in-the loop escalation strategy. - Marketing Managers: you probably don’t need half of them today at all. Claude and ChatGPT as is can do a ton of marketing ops, and visual tools can create incredible collateral. Gamma can arm your team with better sales collateral than ever before. But again, you need a >lot< of orchestration. The humans you do have will be working harder than before, most likely. - Customer Success. We need better AI platforms today, but we don’t need 60%+ of the CSMs we have today. CSMs that don’t solve problems and just do QBRs without adding true value are not necessary in the age of AI. You can probably move on from them today. - Account Execs: You still need XXX% of them. This should change in the next XX months. - Engineering: I’m not convinced AI lets you reduce headcount here at all. Haven’t seen it at >any< of my top performing investments. Instead, what I see overall is a 20%-40% productivity boost, net net. But it becomes an arms race. Everyone is more productive, software is shipping faster, so you need more great engineers than ever. It’s a cracked arms race in product development today. XXXXXX engagements  **Related Topics** [coins ai](/topic/coins-ai) [Post Link](https://x.com/jasonlk/status/1945167728316440945)
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Jason ✨👾SaaStr.Ai✨ Lemkin @jasonlk on x 209.3K followers
Created: 2025-07-15 17:05:00 UTC
A quick summary of what you can and can’t replace with AI today:
- Outbound SDRs: you can replace most SDRs with AI today, possibly XXX% … but you still need humans managing it.
IF you truly go deep, train a platform, and orchestrate it >daily<. But this requires a human and later a team to manage it. Every single day. You can’t just push a button.
- Inbound BDRs: you can replace almost all of them with AI. If it’s well trained.
An AI should be able to qualify a lead faster and better than XX% of BDRs can. Today. You do need to keep training it, and checking it, and updating it. Every day at first, perhaps less later.
- Customer Support: you can replace XX% of your support team with AI today IF you invest.
But again, only if you go deep, train a platform, orchestrate it >daily< AND create a very responsive human-in-the loop escalation strategy.
- Marketing Managers: you probably don’t need half of them today at all.
Claude and ChatGPT as is can do a ton of marketing ops, and visual tools can create incredible collateral. Gamma can arm your team with better sales collateral than ever before. But again, you need a >lot< of orchestration. The humans you do have will be working harder than before, most likely.
- Customer Success. We need better AI platforms today, but we don’t need 60%+ of the CSMs we have today.
CSMs that don’t solve problems and just do QBRs without adding true value are not necessary in the age of AI. You can probably move on from them today.
- Account Execs: You still need XXX% of them.
This should change in the next XX months.
- Engineering: I’m not convinced AI lets you reduce headcount here at all.
Haven’t seen it at >any< of my top performing investments. Instead, what I see overall is a 20%-40% productivity boost, net net. But it becomes an arms race. Everyone is more productive, software is shipping faster, so you need more great engineers than ever. It’s a cracked arms race in product development today.
XXXXXX engagements
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