Will AI Replace Human Cold Callers in B2B Sales Prospecting?
A lot of hype around AI these days... Spoiler : you can't automate cold calls effectively for now, and there are legal limitations as well
7/27/20263 min read
Quite a few companies are riding the AI hype wave to generate massive visibility through exaggerated promises and misleading claims.
It's true: AI is changing the game across many industries, particularly web development and education.
However, we're still a long way from being able to fully automate sales prospecting with AI.
And there are several reasons why.
1. AI Isn't (Yet) Good Enough to Automate Cold Calling
Sure, AI is powerful. But all you have to do is have a conversation with ChatGPT's voice assistant to realize there's still a problem.
It's simply not possible to have a completely natural spoken conversation with ChatGPT. We constantly end up interrupting each other, which forces the AI to restart its processing every time.
On top of that, there's usually at least a 1–2 second delay between the moment you finish speaking and the moment the AI starts responding.
As a result, it's virtually impossible not to realize that you're speaking to an AI.
Cold calling works because prospects are talking to another human being. Once they realize they're speaking to a pre-programmed AI, the interaction probably offers no more value than an advertisement on Meta Ads.
2. Regulations Are Unfavorable to AI Cold Calling
Even if AI became powerful enough to make natural-sounding cold calls, it would still have to disclose to the prospect within the first few seconds of the conversation that it's an AI.
That's what the regulations require.
This would very likely result in a hang-up rate during the first few seconds that is significantly higher than the normal rate for B2B cold calling, potentially at least ten times higher.
3. Cold Calling Is a Difficult Skill to Master
For an AI to become genuinely good at cold calling, it would need to be configured by someone who really understands the discipline and has already gained successful, hands-on experience prospecting manually in their market.
Otherwise, it will simply replicate a losing cold calling strategy over and over again.
This alone probably reduces the chances of an AI cold calling system being successful by 90%, because very few people actually know how to cold call effectively.
Perhaps the future for expert cold callers lies in building automated telephone prospecting workflows. However, point number two makes the success of these systems highly uncertain.
Maybe manual cold calling still has a long future ahead of it. Or perhaps very small businesses simply won't comply with the regulations.
In reality, it will probably take at least another one or two years before AI can genuinely cold call as effectively as a human being, and possibly even longer.
Does This Mean AI Is Useless for Sales Prospecting?
Not at all.
AI is particularly interesting for email prospecting.
There's no direct interaction with the prospect, so they have no way of knowing whether the message was written by an AI or a human.
If an email is extremely well-personalized and well-written, it's perfectly reasonable for the recipient to assume that a real person took the time to write it.
Personally, I've been developing an n8n workflow for several months that allows me to use AI to write personalized emails that look as though they were written by a human.
So far, these emails are generating a 1% conversion rate.
By improving my workflows, I hope to increase that conversion rate to 2–3%.
Now, imagine targeting a market of 10,000 companies and contacting each one every four months.
At a 1% conversion rate, that's 100 meetings every four months.
At 2–3%, that's 200–300 meetings every four months, using email alone.
In my humble opinion, this is where AI can make the biggest difference in B2B sales prospecting.
To learn growth hacking, send me an email at louis@outbound-machine.com