Editor’s Note: This article is part of our “L&D Reflections” series, where learning leaders share what they’ve learned over the past year and how those insights are shaping their work.

As 2025 winds down, I keep hearing the same frustration from sales and enablement leaders: AI is everywhere, yet the deals we lose still come down to human moments. A rushed discovery call, a missed cue in a renewal, a rep who talks instead of listening. Underneath the hype, the real question is simple: Can AI actually help salespeople communicate with more empathy and build more trust?

For years, our answer to performance gaps has been more content. We bring sellers to kickoffs, run them through slides and live role-plays, then send them back into the field. Within 90 days, as much as 84% of what they heard has faded if we don’t reinforce it. That includes the listening, communication and relationship skills we call the “human edge” but rarely give people enough time to practice.

This year, AI finally gave us a practical way to close that gap. The most useful use cases I’ve seen aren’t bots talking to customers; they’re AI acting as an on-demand role-play partner. Enablement teams design realistic buyer scenarios — industry, role, deal stage, objections — and AI plays the other side. Sellers can rehearse difficult conversations as often as they need, without waiting for a manager or a generous colleague. It’s deliberate practice, not just exposure.

AI as a Better Conversation Partner

Traditional role-play is powerful but often awkward. It depends on managers having time, teammates willing to “play buyer” and reps feeling safe enough to fail in front of each other, so it happens far less than it should.

AI-driven role-play changes that dynamic and scales what used to be rare. Companies using AI in sales training and coaching saw 3.3x higher growth in quota attainment than those using AI elsewhere in the sales process but not in training. When AI is used to grow people, not just automate tasks, performance follows.

Training Listening, Empathy and Trust

A common worry is that AI will make sales feel less human. In my experience, when we use it for coaching, the opposite happens. Modern AI tools can analyze simple conversation patterns like talk-to-listen ratios, question types and how clearly a rep summarizes what they’ve heard. Instead of a vague “you should listen more,” a seller might see that they talked for 70% of the call and jumped to a solution without reflecting the customer’s concern.

On top of that, sentiment and language analysis can flag moments where a rep either did — or did not — show empathy. Did they acknowledge frustration and check that they’d understood the problem correctly before pivoting to a pitch? Over time, small adjustments like that change how buyers experience the conversation and how much they trust the person on the other side of the call.

Where Managers Still Make the Difference

None of this replaces managers. If anything, it gives them better raw material. Instead of spending one-on-ones pretending to be the customer, managers can review patterns across dozens of AI role-plays regarding the moment a rep loses control, the personas they struggle with and the questions they rarely ask.

That frees time for the things only humans do well: contextual coaching, navigating internal dynamics and building long-term relationships. The teams getting the most from AI treat it as a practice gym, not a surveillance camera.

The Human Edge Goes to Teams That Practice With AI

Analysts expect that a majority of B2B seller work to involve conversational generative AI by the end of this decade. The real divide won’t be between teams that have AI and teams that don’t. It will be between teams that use it to make their people more human — better listeners, better problem solvers, better partners to their customers — and those that treat it as just another widget in the tech stack.

AI is not going to replace your salespeople. It can’t choose to protect a relationship instead of forcing a deal or tell a customer, “We’re not actually the best fit for you.” What it can do is give your sellers many more quality reps on the toughest parts of the job: listening deeply, understanding context, showing empathy and earning trust.

My prediction for 2026 is simple: The teams that win will be the ones whose reps treat AI role-play as everyday practice.

As you reflect on your own learning journey, explore how the Certified Professional in Training Management (CPTM) program can help you grow the skills you need to lead training with confidence.

As you reflect on your own learning journey, explore how the Certified Professional in Training Management (CPTM) program can help you grow the skills you need to lead training with confidence.