Sales Leaders Share Top Benefits and Pitfalls of AI For 2026

AI is already reshaping how plans are built, communicated, managed, and optimized. But while adoption is accelerating, results still vary widely.

Top-performing organizations aren’t using AI as a shortcut or a replacement for human judgment. They’re embedding it into compensation workflows to eliminate friction, sharpen decision-making, and give go-to-market (GTM) organizations more clarity and confidence.

We spoke with the following top sales leaders to hear their perspective on where AI is having the biggest impact on sales compensation and incentive management in 2026. 

• Meredith Chandler, Head of Sales, Aligned
• Dennis Lyandres, Advisor, Iconiq Capital
• Sean Kashanchi, VP of Sales, CaptivateIQ
• Katie Foote, Advisor, CaptivateIQ (moderator) 

Here’s where AI is delivering the most value today, and where guardrails still matter.

How high-performing organizations are benefitting from AI

AI is already embedded across many sales compensation programs, but its impact is not evenly distributed. The greatest gains are showing up where teams apply AI intentionally to reduce friction, improve clarity, and support better decision making.

AI benefit #1: Efficiency without losing quality

For years, sales teams burned enormous energy on manual prep, interpretation, and explanation. AI is finally reclaiming that time.

[BLOCKQUOTE
| Quote: AI is eliminating wasted calories.
| Author: Sean Kashanchi
| Title: VP of Sales, CaptivateIQ
]

Sean explains, “Think about deal prep, forecasting, and trying to understand how sellers are thinking about their pipeline. You’ve gone from hours of prep to being able to ask an agent targeted questions, like who you’re talking to, how they map to your ICP, and how the offer ties back to your value prop. With AI, sellers can show up to these introductory meetings with 5 - 10 minutes of prep.”

The real advantage, however, isn’t just speed. It’s the ability to redirect that saved time toward higher quality conversations, sharper judgment, and more intentional engagement with both customers and compensation plans.

“Managers are using AI to focus on coaching instead of wasting energy on forecasts,” Sean continues. “It helps answer, ‘What do I need to know before this call? What’s the data behind my number?’ so leaders can show up informed and credible.”

AI is also improving how compensation connects to broader planning inputs. “Integrating territories, quotas, and compensation is one of the most important things you can do to build a fair culture,” says Dennis. “Territories are never perfectly balanced, but AI is helping make those systems work better together, and helping payees understand them in real time.”

When these systems are aligned, compensation stops feeling like an administrative exercise and starts functioning as a real performance lever that’s easier to understand, easier to trust, and easier to act on.

AI benefit #2: Personalization that improves effectiveness

Personalization is where the difference between strong and weak AI adoption becomes obvious.

“I get pitched by sellers all the time, and you can tell within the first sentence or two when AI is being used poorly,” Meredith explains. “I don’t mind that someone used AI to be more efficient, but it still has to be relevant. When it becomes a crutch, it’s off-putting.”

That applies to both sales outreach and hiring. “I see it in vendor outreach and in candidate applications,” Meredith continues. “I ran a LinkedIn poll asking whether AI use in applications was impressive or a turn-off. Most people found it impressive. I still struggle with it. If this is the level of care you’re showing me, that’s what I expect you’ll show our customers. And the customer has to be at the top of the pyramid.”

With access to a treasure trove of historical and real-time data, AI unlocks unprecedented levels of personalization that make it easier for sellers to create powerful, timely content for each prospect. 

[BLOCKQUOTE
| Quote: In a world where AI is democratized, standing out comes from personalization. Make the recipient feel like someone took time, care, and intentionality.
| Author: Katie Foote
| Title: Advisor, CaptivateIQ
]

AI benefit #3: New opportunities for critical thinkers

Rather than replacing human impact, AI is making it clear who truly adds value. “Sellers who use AI to eliminate task work, while continuing to think critically, are the ones who will excel,” Meredith says. “AI isn’t coming for everyone’s job. It’s going to highlight who can adapt and who can’t.”

Administrative work is the obvious starting point, but that’s only part of the equation. Judgment still matters. “AI can read financial reports and summarize data,” Meredith continues. “But it’s still on the seller to decide what actually matters for this client, in this moment.”

High performers are leaning into that distinction, rather than avoiding it.

[BLOCKQUOTE
| Quote: The best employees are showing up in a more human, inspiring way than ever before.
| Author: Dennis Lyandres
| Title: Advisor, Iconiq Capital
]

Dennis continues, “The biggest differentiator is learning ability. Mediocre employees simply have a weaker value proposition.”

“Great employees don’t ‘set it and forget it,’” Sean adds. “They apply a technical lens, think critically, and use the freed-up time to create something even better.”

Together, these perspectives point to the same conclusion: AI rewards curiosity, adaptability, and intentional use rather than passive adoption.

[BLOCKQUOTE
| Quote: AI creates space for what’s uniquely human to shine. Creativity, judgment, and empathy matter more, not less.
| Author: Katie Foote
| Title: Advisor, CaptivateIQ 
]

AI benefit #4: Better quality of work for employees 

AI’s impact isn’t just operational; it’s cultural. AI streamlines less exciting tasks, opening up bandwidth to take on exciting projects. The result? A more engaged, more motivated employee base. 

“Revenue per employee is higher than ever, growth is higher than ever,” Dennis says. “And employee engagement at AI-forward companies is stronger because you’re removing remedial work and letting people show up better for customers.”

Leading organizations are tailoring AI use to individual strengths. “Some people love creative work, others love forecasting,” Dennis continues. “The best companies obsess over how to augment each person in ways that matter to them today, while building toward the future.”

What still matters most are moments that demand human judgment.

“Customer escalations, outages, and critical initiatives are all protected moments,” Dennis confirms. “Relationship managers showing up at their best are more valuable than ever.”

AI benefit #5: Transparency that builds trust

Few areas benefit more from AI-driven clarity than compensation. Variable pay has historically felt opaque to sellers, often requiring spreadsheets, back channel questions, or “shadow accounting” just to understand earnings. AI is changing that dynamic by making compensation more visible, more predictable, and easier to act on in real time.

“Sellers want to know exactly how much they’ll make, when they’ll make it, and how different scenarios change that,” Sean explains. “What happens if I pull in a deal? Work with a partner? Overachieve this month versus next?”

That visibility does more than answer questions. It allows sellers to make smarter decisions about deal timing, collaboration, and prioritization, all while reinforcing trust in the compensation system itself.

AI reduces friction for everyone. “Comp questions aren’t fun for admins. They’re usually already answered in the plan,” Sean continues. “AI gives sellers faster answers and helps them understand what’s possible.”

AI benefit #6: No more silos

Sales compensation has traditionally lived at the intersection of finance, sales, revenue operations, marketing, and leadership, yet those teams have often operated in parallel rather than in sync. AI is helping break down those barriers by aligning data, assumptions, and decision making across functions.

“AI helps teams work from the same source of truth,” Foote says. “It breaks down organizational silos so everyone can align around strategic outcomes.”

When compensation, quotas, territories, and performance data are connected, teams move faster and with fewer handoffs. Instead of debating whose numbers are correct, leaders can focus on what actions to take and how to course correct in real time.

The result is not just operational efficiency, but stronger alignment between strategy and execution across the entire GTM organization.

AI benefit #7: A level playing field 

AI has removed many of the informal advantages that once came with tenure or institutional knowledge. Where experience once meant access to shortcuts, templates, or insider context, AI is now making that information available to anyone willing to learn and apply it effectively.

AI has removed the old perks that came with experience-based shortcuts. Now, anyone willing to adopt and master the use of AI can unlock a professional advantage. 

[BLOCKQUOTE
| Quote: There is no playbook anymore. We’re all learning in real time. That’s a huge equalizer.
| Author: Katie Foote
| Title: Advisor, CaptivateIQ 
]

In this environment, success is less about how long someone has been in a role and more about how quickly they can adapt. Sellers and compensation leaders who experiment thoughtfully, learn continuously, and apply AI with intention are leveling the playing field and, in many cases, pulling ahead.

The dark side of AI (and how to avoid it)

While AI is unlocking real value for sales compensation teams, it also introduces new risks if applied without intention. Understanding where AI can fall short is critical to using it responsibly and effectively.

AI risk #1: Standardization with stagnation

As AI adoption accelerates, one of the biggest risks is moving too fast without clear guardrails. Without shared standards, teams can end up with fragmented workflows, inconsistent outputs, and more confusion than clarity.

[BLOCKQUOTE
| Quote: This is the wild, wild west. Teams need guardrails and clarity on which tools to use, when, and why.
| Author: Katie Foote
| Title: Advisor, CaptivateIQ 
]

Meredith echoes the need for discipline. “There’s massive overlap in AI tools right now,” she says. “Leaders need to continuously evaluate vendors, even ones they like, to ensure they’re still best-in-class.”

Not every part of the tech stack should be treated as an experimentation zone. Core systems like compensation management, forecasting, and financial reporting sit at the center of trust, accuracy, and compliance. These are foundational systems where consistency and reliability matter more than novelty.

Instead, leaders should be deliberate about where experimentation is safe and productive. AI-driven exploration works best in areas like enablement, coaching, content creation, or analytics layers that augment decision making without introducing downstream risk. By clearly separating systems of record from systems of experimentation, teams can innovate without destabilizing critical workflows.

“Some technology is heart-and-lung infrastructure. You don’t experiment there,” Dennis argues. “Other tools you test, learn from, and then standardize.”

AI risk #2: Bad data in, bad data out

AI systems are only as effective as the data they’re built on. When underlying data is incomplete, inconsistent, or poorly governed, AI doesn’t fix the problem. It scales it. For sales compensation teams, that can mean inaccurate forecasts, misaligned incentives, and erosion of trust among sellers.

As AI becomes more embedded in compensation workflows, the margin for error narrows. Disconnected systems, unclear ownership of fields, or inconsistent deal updates can quickly undermine even the most sophisticated models. Without a shared understanding of where data lives and how it should be maintained, AI outputs become harder to interpret and easier to question.

“All roads lead to clean data,” Katie says. “You need clarity on where deals are updated, which fields matter, and how forecasts are built. Otherwise, AI just amplifies noise.”

To avoid this trap, leading teams are using AI adoption as a forcing function to tighten data discipline. Clear definitions, standardized inputs, and consistent processes ensure AI enhances visibility and confidence rather than introducing uncertainty.

Looking ahead: Where GTM leaders should focus in the next 90 days

As AI adoption accelerates, the next 90 days are less about sweeping transformation and more about making deliberate, high impact progress. The leaders seeing the strongest results are grounding their decisions in people, execution, and focus.

Dennis emphasizes that AI investments should start with employee impact. “Solve for employees in meaningful ways and the business will follow,” he says. When GTM leaders prioritize tools and workflows that make sellers and compensation teams more confident and effective, customer outcomes tend to improve alongside them.

At the same time, leaders must confront the gap between strategy and execution. “Ask what’s preventing execution and use technology to close that gap,” Dennis advises. This means identifying where product strategy, compensation incentives, and frontline behavior fall out of alignment and using AI to bring them back together.

Meredith stresses the importance of learning from real practitioners, rather than relying solely on AI-generated insight. “Follow real thinkers, read broadly, trust, but verify,” she advises. While AI can surface patterns, it cannot replace judgment built through experience and ongoing dialogue with peers.

Sean points to top sellers as an often overlooked source of insight. “Find what’s already working, pilot it, then standardize,” he says. High performers are frequently early adopters of effective workflows, and scaling what already works can accelerate progress without disrupting how teams operate.

[BLOCKQUOTE
| Quote: Ask whether the new technology improves the customer journey. That’s what compensation should incentivize — bringing sellers’ best selves to the customer.
| Author: Meredith Chandler
| Title: Head of Sales, Aligned
]

The Future of Sales Compensation Is Human Led, and AI Enabled

AI is reshaping sales compensation in powerful ways, but impact depends on intent. The teams pulling ahead in 2026 are not chasing automation for its own sake. They are applying AI where it improves clarity, fairness, and execution, while preserving the human judgment that builds trust with sellers and customers alike. Used thoughtfully, AI becomes less about replacing people and more about helping them show up better in the moments that matter most.