AI Sales Teams Grow 2.6x Faster. Gartner Says Buyers Still Want a Rep

There are two facts in Gartner's latest sales research, and they pull in opposite directions. If you only read one of them, you'll make the wrong call.

The first fact: sales organizations that give their sellers artificial intelligence-enabled next best actions are 2.6 times more likely to achieve commercial growth. The second: business-to-business (B2B) buyers are 39 percentage points more likely to say a human sales rep understood their needs compared to generative AI. Both came from the same Gartner research released in May 2026, and both are true at the same time.

That tension is not a contradiction. It's the strategy. According to Gartner's survey of 227 chief sales officers (CSOs), conducted between August and September 2025, the performance lift from AI only appears when sellers are equipped and empowered to use it, not when AI is deployed to cut the number of people in the room.

The Numbers That Matter Most

The headline 2.6x growth figure gets attention, but there's a number sitting right behind it that most sales leaders skip. Organizations that prioritize upskilling their sellers on AI are 2.4 times more likely to achieve strong revenue growth. That second multiplier shows where the real work is: the tool is not the investment, the seller using the tool is.

Gartner's methodology covered two separate surveys. The chief sales officer survey reached 227 respondents across the same August to September 2025 window. A parallel survey of 645 B2B buyers ran concurrently, capturing the buyer side of the same interaction. That paired methodology is what makes the findings interesting: you can see both the seller's performance gains and the buyer's actual experience of being sold to.

The buyer data is worth sitting with. B2B buyers were 28 percentage points more likely to say a human sales rep (versus generative AI) helped them advance to the next step in their purchase process. They were 32 percentage points more likely to say a rep made them feel confident in the decision. And 69 percent of B2B buyers turn to sales reps specifically to validate AI-generated insights. That last number is the one sales leaders need to flag to their boards: buyers are not replacing human judgment with AI, they're using AI to generate options and then relying on a rep to confirm which one is right.

Key Facts

• 2.6x more likely to achieve commercial growth when sellers get AI-enabled next best actions (Gartner, May 2026)
• 2.4x more likely to achieve strong revenue growth when sellers are upskilled on AI (Gartner, May 2026)
• 69% of B2B buyers use a sales rep to validate AI-generated insights (Gartner, May 2026)

The Augmentation Dividend

The framework worth naming here is what I'd call the Augmentation Dividend: the performance lift that shows up when you give a skilled seller better intelligence, not when you swap the seller out.

The 2.6x growth figure only materializes inside that specific pairing. AI does the research, the signal monitoring, the personalized message drafts, and the next best action recommendations. The seller brings the empathy, the situational judgment, the contextual understanding of why this particular buyer is hesitant, and the framing of value in terms the buyer actually cares about. Neither side of that pairing is optional.

This division of labor is not abstract. Gartner's research points to specific areas where AI is well-positioned: account research before first contact, personalizing outbound messaging at scale, monitoring buying signals across accounts, and surfacing the next best action for an open deal. These are exactly the tasks where AI account research tools create leverage before first touch, and where next best action recommendations for open deals translate directly into rep focus.

Where human sellers stay irreplaceable: the moment a buyer needs to feel understood, the conversation that moves someone from uncertain to confident, the judgment call on which piece of the value story to lead with in this particular situation. These are not tasks that route through a language model. And they're also the tasks buyers are explicitly flagging as the moments where human presence made the difference.

Why "AI Seats" Without Upskilling Is a Dead End

The Gartner data points to a specific failure mode a lot of sales organizations are living right now: buying AI tools and treating that as the investment. The 2.4x revenue growth multiplier is attached to upskilling, not to software procurement. That distinction matters more than most technology rollouts acknowledge.

Sales leaders who buy an AI platform, run a two-hour enablement session, and call it done are not going to see 2.6x growth. They're going to see average sellers using a tool they don't fully trust, applying it inconsistently, and falling back on their prior habits when pressure increases. The highest return on investment for AI in sales operations comes from teams that redesign workflows around the tool, not teams that bolt the tool onto an unchanged process.

The upskilling investment buys two things. It builds the seller's ability to interpret and act on AI outputs, rather than just receiving them passively. And it builds organizational confidence in the technology, which is what drives consistent adoption. Gartner's own framing points to redesigning seller roles to elevate AI-augmented productivity as the path forward, not headcount reduction.

The Validation Moment You Cannot Automate

There's a specific interaction pattern buried in the buyer data that deserves its own name. Call it the Validation Moment: the point in a B2B purchase process where the buyer has done AI-assisted research, generated a short list of options, and now needs a human to confirm they're thinking about it correctly.

Sixty-nine percent of B2B buyers land at that moment and turn to a sales rep. Not to get more information. Not to see another demo. To validate that the conclusion they reached on their own is sound. That is a profoundly human interaction, and it's also the highest-leverage moment in the sales cycle. The buyer has done the work. They've narrowed the field. They just need someone who understands their situation to tell them they're not making a mistake.

Sales leaders who think about their sellers' role as "human validators of AI outputs" rather than "people who generate interest from scratch" will position their teams much better for the next two years. The research workflow shift Gartner forecasts is dramatic: by 2027, 95 percent of sellers' research workflows will begin with AI, up from less than 20 percent in 2024. When research is mostly automated, the seller's time moves almost entirely to the Validation Moment, the negotiation, and the close.

For a deeper look at how AI-generated personalized outreach fits into this workflow, or how buyer intent signal synthesis identifies when the Validation Moment is approaching, the underlying mechanics are worth mapping against your current sales motion.

See also: the companion analysis on why AI agents are reshaping the sales pipeline and the ongoing question of measuring the actual return on AI investment rather than the projected one.

Frequently Asked Questions

Do AI next best actions actually work, or is the 2.6x figure cherry-picked?

The 2.6x figure comes from a Gartner survey of 227 chief sales officers, conducted in the second half of 2025. It reflects organizational-level outcomes, not a controlled product trial. So the honest answer is: it works when AI next best actions are paired with seller judgment and an updated role design. Organizations that simply added an AI tool to an unchanged sales motion did not report the same lift. The 2.6x shows up in the companies where AI changed how sellers spend their time, not just what tools they have access to.

If buyers prefer human reps, should we slow down AI adoption in sales?

No. The buyer preference for human interaction is specifically about validation, empathy, and confidence, not about research, discovery, or pipeline management. Buyers want AI doing the background work so that when they do interact with a seller, the seller is informed, prepared, and focused entirely on understanding the buyer's situation. Slowing AI adoption removes the preparation advantage without improving the human interaction quality.

What is an AI sales operator and how does it fit this model?

An AI sales operator is the emerging role that sits between AI tooling and the field sales team, interpreting AI outputs, maintaining signal quality, and designing the next best action workflows that sellers act on. As Gartner's research makes clear, the Augmentation Dividend requires both the technology and someone accountable for making it work for sellers. The AI sales operator role is how mature sales organizations are making that work.

What to Do This Week

If the Gartner data holds up against your own pipeline and buyer behavior, here are three things worth starting this week rather than next quarter.

Map where your reps actually receive next best actions today. Not where the CRM theoretically suggests them, where sellers actually read them, trust them, and act on them. If the answer is "they don't," the tool gap is less important than the trust gap. Start there.

Fund AI upskilling alongside, not after, AI seats. If you're renewing or expanding an AI sales tool contract this quarter, tie a training budget to it before the contract is signed. The 2.4x revenue growth multiplier is attached to upskilling, not to the software. The seat is the cost of entry; the upskilling is what generates the return.

Protect the Validation Moment in your sales motion. Review your sales stages and identify where buyers show up having already done AI-assisted research and needing confirmation. Make sure that moment routes to a senior rep who has the time and preparation to give a confident, contextual answer. Don't let an automated follow-up sequence handle a buyer who is ready to decide.

Learn More

• Next Best Action Recommendations for Open Deals
• Why Sales Ops Is AI's Highest-ROI Use Case
• AI Account Research Before First Touch
• Buyer Intent Signal Synthesis
• What Is an AI Sales Operator
• Are AI SDRs Worth It in 2026? The Data Says Build a Hybrid Team
• Gartner Revenue Action Orchestration Magic Quadrant 2026