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The AI gap in sales is getting wider

WRITTEN BYMiguel Pieters

14 August 2026

Ask a room of sales leaders whether AI matters and every hand goes up. In Salesforce's latest State of Sales research, a survey of more than 4,000 sales professionals, 87% of sales organisations already use some form of AI, and sales teams name it their number one growth tactic for 2026. Bain's latest executive survey tells the same story from the top: 74% of executives now rank AI as a top-three strategic priority, up from 60% a year earlier. Read those numbers alone and adoption looks like a solved problem.

Then ask the same room what AI actually did in their pipeline last quarter, and the hands come down. We have spent the past few weeks in conversations with B2B sales leaders, and that second question is where almost every one of them goes quiet. The story of 2026 is not AI adoption. It is the distance between what AI can do for a sales team and what most sales teams actually do with it. And that distance is growing.

Using AI is not the same as selling with it

The gap hides inside the adoption numbers. In Bain's data, most AI pilots outside software development never reach production: in functions like sales and marketing, only 20 to 33% make it out of the pilot stage, and just 23% of executives can tie their AI initiatives to new revenue or lower costs. For all the tools in the stack, Salesforce finds the average seller still spends about 40% of the week actually selling.

So nearly nine in ten organisations use AI, while the average seller's week looks the way it did three years ago. That is what shallow adoption looks like: an assistant that drafts the occasional email or summarises the occasional call, sitting next to a sales process that has not changed. Deep adoption looks different. It is AI wired into the CRM, the inbox and the call notes, doing the preparation, the follow-ups and the admin in the background of every deal, with the rep still doing the selling.

The teams that started are pulling away

This would matter less if the gap were standing still. It is not. Salesforce finds top-performing sellers are 1.7 times more likely to use AI agents in their prospecting than underperformers, and 79% of high-performing teams do the unglamorous data work that makes AI reliable, against 54% of everyone else. Bain sees the same split from the executive side: where AI disappoints, a third of deployments never make it past the pilot.

The mechanism is compounding. A team that put AI to work a year ago has cleaner data, tuned workflows and reps who trust the output, and every quarter of use widens each of those. A team starting today is not one tool behind. It is a year of compounding behind.

What we hear from sales leaders

Here is the part the surveys do not show. In our recent conversations, almost no sales leader could name, specifically, what AI could do for their team this quarter. Not because they are not paying attention: because the field reinvents itself faster than anyone with a quota can track it. Last year the answer was copilots, this year it is agents, and every vendor claims everything. Nobody running a sales team has spare hours to sort that out.

The result is a paradox we see everywhere: the longer a team waits, the harder starting feels. More tools to choose between, more vocabulary to decode, more stories of pilots that went nowhere. Leaders who felt slightly behind a year ago now tell us they would not know where to begin. The gap is not just in capability. It is in confidence.

Starting is smaller than it looks

The way in has not changed, and it is far smaller than the noise suggests. You do not start from the tools. You start from how your team already sells, find the one place where winnable deals leak (follow-ups that go out late, calls that start unprepared, a CRM nobody keeps current), and put AI behind that one thing. The rep stays the sender; the machine does the work around them. One working system beats any amount of strategy, because it starts the compounding.

That first step is exactly what we teach. If you want to see what AI can take off your team's plate this quarter, our free course is the place to start.