Key takeaways
- Outbound is saturated; automation worsens trust.
- Warmth at scale beats volume.
- The unit economics have shifted.
FAQ
Why doesn't AI fix outbound?
It scales noise and accelerates trust erosion. More automation means more ignored outreach.
What works instead?
Manufactured warm paths and targeted relevance. Build context before asking for time.
Let me be blunt about something that's been bothering me.
I've watched countless founders and sales teams pour money into the latest AI-powered outbound tools, convinced that better automation is the answer to their pipeline problems. They're wrong.
Buyer research shows a growing preference for rep-free or low-friction buying, and top-performing B2B teams emphasize relevance over volume.[1][2]
The Automation Arms Race Nobody Wins
Here's what happened: Everyone got access to the same AI tools at roughly the same time.
GPT-4 made it trivially easy to write "personalized" cold emails. Tools emerged that could scrape LinkedIn, reference recent posts, mention company news, and craft messages that technically check every box of what a good cold email should be.
The result? Inboxes flooded with emails that are all suspiciously... perfect.
Every email mentions your recent funding round. Every email references that podcast you were on. Every email has a "noticed you're hiring for X, which tells me you're probably struggling with Y" observation that feels less like insight and more like a template with variables.
We've created a world where the more polished your outreach looks, the more it screams "I used AI to write this, and I'm sending a version of this to 10,000 other people today."
The Trust Collapse
Think about your own inbox for a second.
When's the last time you responded to a cold email? Not because you had to, but because you genuinely wanted to?
For most people, the answer is either "I can't remember" or "when it was clearly from a real human who actually knew something specific about my situation."
The problem isn't that AI writes bad emails. The problem is that AI writes good emails—and now good emails are suspicious.
We've accidentally trained an entire generation of buyers to associate quality cold outreach with automation. The uncanny valley of sales has arrived, and it's killing response rates across the board.
What Actually Works: Manufacturing Warm at Scale
Here's the shift I'm seeing work for companies that are still growing through outbound:
Stop trying to make cold outreach feel warm. Start creating actual warmth before you ever reach out.
What does "manufacturing warm at scale" actually mean?
It means engineering touchpoints before the ask.
- Engaging authentically with prospects' content for weeks before reaching out
- Getting introduced through mutual connections (and building systems to create more mutual connections)
- Creating content that attracts your exact buyers, so they know who you are before you email them
- Showing up in the same communities, Slack groups, and events as your prospects
- Building in public so your target market already has context on what you're doing
It means the email is the last step, not the first.
The companies winning at outbound in 2025 aren't sending better cold emails. They're making sure that by the time they send any email, it's not really cold anymore.
The Math Has Changed
Old model: Send 1,000 cold emails → Get 20 responses → Book 5 meetings → Close 1 deal
New model: Warm up 200 prospects over 30 days → Send 200 "cold" emails that aren't actually cold → Get 40 responses → Book 15 meetings → Close 4 deals
Yes, the new model takes longer upfront. Yes, it requires more creativity than just plugging prompts into an AI tool. Yes, it means your sales team needs to actually be good at building relationships, not just executing sequences.
But the math works. And more importantly, it keeps working—because you're not competing in a race to the bottom with every other company using the same automation stack.
The Uncomfortable Truth
Most sales teams don't want to hear this.
They want a tool that solves the problem. They want to believe that the next AI feature, the next personalization engine, the next intent data provider will unlock the results they used to get.
It won't.
The game has changed. The companies that adapt—that invest in warming up their market instead of just automating their outreach—will build sustainable pipelines. Everyone else will keep wondering why their "perfect" emails get ignored.
Where to Start
If you're reading this and feeling called out, here's what I'd do:
-
Audit your current outreach. Read your last 20 cold emails. Do they sound like a human wrote them, or do they sound like every other AI-generated email?
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Pick 50 high-value prospects. Instead of blasting them, spend the next 30 days engaging with their content, finding mutual connections, and creating reasons for them to know who you are.
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Measure the difference. Compare response rates between your automated outreach and your "manufactured warm" outreach. The gap will tell you everything.
Outbound isn't dead. But cold outbound—the kind where you're a stranger interrupting someone's day with a pitch—is on life support.
The future belongs to the teams that figure out how to stop being strangers before they ever hit send.
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