Sales teams using high volume outreach are discovering what we call,, AI Deadlock.
Sales teams use AI to research prospects, generate opening lines, write emails, build follow-up sequences and create personalised-looking outreach at scale. Buyers and organisations use AI tools to filter sales messages.
The same AI that helps sellers create outreach also helps buyers filter out salespeople.
Even when the message gets through, AI-generated outreach has another weakness – it feels soulless. Buyers can tell when something has been manufactured to look personal rather than written – they spot the pattern.
We think that combination is exposing the limits of volume-based cold email.
This deadlock neutralises the AI advantage for sellers, but the underlying premise of high volume cold is starting to be questioned too.
We’ve normalised poor response rates
Recent large-scale cold-email datasets have reported human reply rates below 1.5%, with one 2026 dataset putting interested replies at 0.24% of emails sent.
That means more than 99% of emails failed to generate an interested response. Somewhere along the way, the sales industry rationalised performance like this as normal. Instead of questioning the model, teams tried to marginally improve it with tactics.
That has meant:
- More sending volume.
- More sequences.
- More automation.
- More AI personalisation.
- More domains.
- More inboxes.
We’ve spent years trying to squeeze more performance out of an approach producing weak returns. If 99% of prospects don’t respond, sending more messages doesn’t fix the problem. We are missing the real problem – relevance.
Burner domains are a symptom
The growth of secondary or “burner” domains shows how far the volume model has gone. Some sales teams run dozens of lookalike domains and tens of inboxes per rep to maintain email delivery.
That should tell us something.
When a sales team needs 30 domains and 50 inboxes to generate a handful of replies, the problem runs deeper than deliverability. Burner domains are a symptom of a model that depends on sending more because too few people respond.
High-value, low-volume human selling
The paradox is that the way to scale is to do the unscalable. We believe the opportunity for sellers will be high-value, low-volume human selling.
That means:
- Fewer prospects.
- Better research.
- A stronger understanding of the buyer’s priorities.
- Familiarity before outreach.
- Messages written for the individual.
- Salespeople using their judgement and skills.
We’re seeing double-digit response rates from campaigns built around this approach. Salespeople need to understand the buyer, translate their services into value for that individual and make an approach that gives them a reason to respond.
It’s very similar to how handwritten notes and personal letters are driving ROI for marketers – personalisation is everywhere – but personal is scarce.
This approach takes more thought per prospect, but it produces a better return than compensating for weak response rates with more volume.
Familiarity changes response rates
Sending outreach has become easy. Getting the buyer to notice it is harder. Familiarity with the rep improves open rates and response rates, which makes familiarity an important part of human selling. In our work with one client, they saw response rates treble by building name recognition on LinkedIn before they made any direct ask.
LinkedIn and social selling give salespeople a way to build that familiarity before outreach. The question is no longer whether you can send the outreach. You can – the question is whether the buyer notices it and recognises the person sending it.
The Human Selling Framework
We’ve developed our Human Selling Framework around three principles.
- Familiarity first. Build familiarity before outreach so the buyer is more likely to notice and respond to the salesperson. LinkedIn and social selling can help reps become known before they make an approach.
- Buyer thinking. Train salespeople to think from the buyer’s perspective, understand their priorities, how they see the word and align their service to what the buyer wants.
- Hyper-personalisation by humans. Show sellers how to craft human messages that start conversations, resonate with buyers and feel like someone went the extra mile to reach them.
From 2027, the Human Selling Framework will be integrated across our corporate LinkedIn workshops, social selling training, digital masterclasses and executive programmes.
AI should help salespeople sell
AI should make salespeople more productive by removing work that stops them selling. Salespeople are drowning in CRM admin, reporting, research and repetitive tasks when they should be prospecting and having sales conversations.
Using AI to automate prospecting while salespeople remain tied up in administration gets the priorities backwards. AI should give sellers more time for the human work of engaging prospects.
Watch this space.