Some sales teams are actually growing with AI

The sales industry has not been exempt from a common fear: that AI is going to wipe out sales jobs. A recent article in Harvard Business Review pushes back against this notion. For years, analysts and LinkedIn “thought leaders” predicted armageddon, with millions of B2B roles supposedly at risk. The logic seemed airtight. If machines could scrape the data, analyze intent signals, and even spit out personalized pitches, what would be left for the human rep to do?

Yet the opposite is happening in some corners of the market. Instead of shrinking, sales headcount is actually expanding. Researchers from ZS, a global professional services firm, who penned the article, trace where and why that growth is taking place. Their findings reveal something salespeople already feel in their gut: in high-stakes, high-complexity deals, human touch is irreplaceable. 

The story begins with complexity. When a customer is buying a commodity like office supplies, standardized hardware, or repeat pharmaceuticals, self-service portals and digital transactions work well. AI makes the process cheaper, faster, and more efficient. But in situations where the offering is ambiguous, novel, or technically demanding like software platforms, advanced manufacturing systems, (even new AI services), buyers need (and want) guidance. They don’t want to add to cart; they need a partner who can help them frame the problem, navigate internal politics, and figure out how to capture value after the ink dries on the contract. In those scenarios, headcount is not declining. It’s going up.

The role of the salesperson, however, is obviously not what it used to be. Just five years ago, a rep might have spent most of their time prospecting and booking meetings. Today, AI is taking on much of the repetitive legwork: researching accounts, identifying warm leads, automating follow-up reminders. That frees human reps to step into a different identity. Not as mere product pushers, but as consultants, orchestrators, and value translators. The best salespeople are becoming diagnosticians who help customers define problems they didn’t know they had.

Of course, not every sector is seeing this kind of growth. Traditional transactional sales in industries where the buyer already knows what they want are shrinking. Self-checkout doesn’t just exist at the grocery store; it exists in B2B procurement portals too. If your value proposition is purely about speed and price, AI and automation will eat into your job. But that’s the point: those roles were already vulnerable because they didn’t require the deeper human skills that complex sales demand.

So what should today’s salesperson take away from this? First, the market is sending a clear signal: double down on skills AI can’t easily replicate. That means negotiation, strategic storytelling, and the ability to make sense of ambiguity. Second, lean into the tools. The teams that are actually growing aren’t afraid of AI. They use it to clear away the low-value tasks that suck time and energy, freeing themselves up for the conversations that matter. AI becomes an assistant, not a competitor.

The risk, of course, is in treating AI as a shiny new toy rather than a strategic shift. Companies can overspend on software without investing in the change management or training needed to make it work. Reps can fall into the trap of letting the machine do all the talking, forgetting that a customer can smell a canned response a mile away. It’s clear that the winners are not the ones who throw the most bots at the funnel, but the ones who design a thoughtful division of labor: humans where judgment, trust, and creativity matter; machines where scale and speed rule.

The bottom line is both sobering and encouraging. If you’re in a role that’s highly transactional, the pressure is only going to increase. But if you’re in a role that requires you to navigate complexity, your value has never been higher. In fact, companies are expanding those teams, precisely because the stakes are so high and the products so complicated.

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