Sales reps in the AI era face a counterintuitive challenge: any buyer can now run a prompt five minutes before your call and walk in knowing almost as much about your product as your rep does. That should make the sales rep less relevant. Brian Benfer, CRO at Salesloft, argues it makes them more important than ever, because buyers drowning in AI-generated research are ending up in analysis paralysis rather than self-qualifying, and a rep who can cut through that confusion becomes the deciding factor in whether a deal moves.
About Brian
Brian Benfer is the CRO at Salesloft, where he leads go-to-market for the company’s AI revenue orchestration platform. He began his career coaching competitive swimming before moving into sales as an SDR at ShareFile, eventually leading a 300-person sales organization through its acquisition by Citrix. He went on to lead global sales at Dude Solutions, guiding it through its transformation into Brightly Software and its subsequent acquisition by Siemens.
Connect with Brian: LinkedIn
Learn more about Salesloft: salesloft.com | LinkedIn
What you’ll learn
- Why buyers using AI end up in analysis paralysis rather than self-qualifying, and why that makes the sales rep more important, not less
- Why curious sellers who let the conversation wander earn trust and get the truth, while scripted sellers lose deals they could have won
- The three competencies reps need on top of the fundamentals: business acumen for CFO and CIO conversations, technical acumen, and project management across larger buying committees
- Why AI delivers marginal gains on stage velocity and conversion rate but has the potential to double opportunity volume, and why that is the real step-function gain
- How Salesloft crowdsources AI wins through its AI Ops Factory, and why 67% of revenue leaders not trusting their AI data is the real adoption problem
Why sales reps in the AI era still matter
The popular narrative is that AI-enabled buyers will make reps obsolete. They can research your product, benchmark your pricing, and read your customer reviews before you dial. Brian pushes back on this directly. What he sees in actual deals is not a more confident, more self-directed buyer. He sees buyers overwhelmed by the volume and contradictory nature of what the AI is returning, unable to make sense of it, and stalling. The information is there. The judgment to act on it is not.
This is the gap the rep fills now. Not as a source of product information, which the buyer already has, but as a guide through the noise. The rep who can walk a buyer through what the AI got right, what it missed, and what actually matters for their specific situation is not competing with AI. They are the thing that makes the AI-enabled buyer functional. That is a more valuable position than the rep held before, not a weaker one. Brian sees this reflected in what AI buyer research actually looks like in the field: more information, less clarity.
Curiosity as a competitive advantage
One of the more counterintuitive arguments Brian makes is that the reps who win now are the ones who are willing to let the conversation wander. The scripted rep who drives hard toward the qualifying questions, who redirects every tangent back to the pitch, misses the conversation happening underneath the surface. The rep who follows the buyer’s lead, who asks the follow-up that was not in the playbook, who lets a comment about an internal initiative run for a few more exchanges, tends to surface the real problem, the one the buyer has not fully articulated yet, and that is where the deal is.
Curiosity is not a personality trait in this framing. It is a competitive differentiator. The buyer has done their research. They are not looking for more information about the product. They are trying to figure out whether the person across from them understands their situation well enough to be worth listening to. The rep who is genuinely curious about the buyer’s world, and who demonstrates that curiosity through the questions they ask and the things they notice, earns a level of trust that no amount of product knowledge creates.
Three competencies reps need now
Brian is specific about what reps need to develop on top of the core selling fundamentals. The first is business acumen. As buying committees grow and procurement processes get more complex, more deals land in front of CFOs and CIOs who want to talk about the business case, not the feature set. A rep who cannot speak the language of a P&L, a budget cycle, or an operational risk conversation loses credibility the moment the economic buyer enters the room.
The second is technical acumen. Not the ability to configure the product, but enough technical literacy to hold an intelligent conversation with the technical evaluators in the buying process and to connect what the product does to the specific infrastructure environment the buyer is working in. The third is project management. Buying committees are larger than they were five years ago, and the rep who can coordinate a complex, multi-threaded evaluation across stakeholders on both sides of the deal is the rep who keeps it moving. These three competencies do not replace the fundamentals. They sit on top of them, and the rep who develops all five has a durable advantage regardless of what the AI does next.
Where AI actually moves the needle in sales
Brian is precise about what AI does and does not change in the sales motion. Stage velocity improves marginally. Conversion rates at each stage improve marginally. Deal size does not change at all. The place where AI delivers a genuine step-function gain is opportunity volume: the number of deals your team can work simultaneously without a corresponding increase in headcount. If AI handles the research, the data entry, the follow-up drafting, and the scheduling, a rep who was managing 30 accounts can manage 60 with the same quality of engagement. That is the real productivity unlock, and it is different in kind from the marginal improvements on the other metrics.
The AI adoption conversation in most sales organizations is focused on the wrong thing: getting reps to use the tools. Brian’s focus at Salesloft is on building the infrastructure that makes those tools trustworthy. His AI Ops Factory is a crowdsourcing mechanism: when a rep finds an AI workflow or prompt that produces a measurably better outcome, it gets logged, tested, and distributed. Sixty-seven percent of revenue leaders say they do not trust their AI data. You cannot build adoption on a foundation the team does not believe in, and the way you build belief is through evidence that accumulates from real results in real deals.
Frequently asked questions
Are sales reps still relevant in the AI era?
Yes, and the argument for their relevance has gotten stronger, not weaker. Buyers using AI to research purchases are walking into sales conversations with more information but less clarity. They face analysis paralysis from contradictory AI outputs and an inability to know which information applies to their specific situation. The rep who can help a buyer navigate that confusion, evaluate what the AI got right and wrong, and connect the relevant information to the buyer’s actual problem is more valuable now than the rep who was simply a source of product information.
What skills do sales reps need in the AI era?
On top of the core selling fundamentals, reps need three additional competencies. Business acumen for conversations with CFOs, CIOs, and economic buyers who want to talk about P&L impact and budget, not feature sets. Technical acumen sufficient to hold a credible conversation with technical evaluators and connect product capability to the buyer’s infrastructure. And project management skills to coordinate multi-threaded evaluations across larger buying committees on both sides of the deal. Curiosity is also increasingly a differentiator: the rep who follows the buyer’s lead and asks the unexpected follow-up surfaces the real problem where the deal actually lives.
Why does AI create analysis paralysis for buyers?
AI gives buyers access to more information than they can process or prioritize, and much of that information is contradictory. A buyer researching a purchase may get ten different AI summaries of competitive positioning, pricing benchmarks, and implementation risk, none of which account for the specifics of their organization. The result is not a more confident buyer who self-qualifies. It is a buyer who has read a lot, is uncertain about what to believe, and is looking for someone who can cut through the noise and tell them what actually matters for their situation.
How does AI improve sales productivity?
The meaningful gain is in opportunity volume, not in the marginal improvements on stage velocity or conversion rate that most AI vendors lead with. If AI handles research, data entry, follow-up drafting, and scheduling, a rep who was effectively managing 30 accounts can manage 60 at the same quality of engagement. Deal size does not change. The speed at which individual deals move does not change dramatically. But the number of deals a rep can carry simultaneously without a drop in quality is where the real productivity unlock happens, and that has direct implications for how you model headcount and quota.
What is an AI Ops Factory in sales?
An AI Ops Factory is a structured system for crowdsourcing AI wins across a sales team, identifying which AI workflows and prompts are producing measurable results in real deals, and distributing those wins to the rest of the organization. Salesloft built this mechanism because 67% of revenue leaders report that they do not trust their AI data, and adoption cannot scale on a foundation the team does not believe in. By logging AI recommendations, tracking their outcomes, and building a visible record of what works, an AI Ops Factory creates the evidence base that turns skeptical users into engaged ones.
John Barrows helps sales leaders decide whether to replace, rebuild, or retrain their teams for the AI era. For 25+ years he has worked with the world’s most demanding sales organizations, including Salesforce, LinkedIn, Google, Amazon, and Okta, building the frameworks that became Filling the Funnel and Driving to Close. Today he advises CROs and VPs of Sales on AI readiness, team restructuring, and go-to-market strategy, drawing on exposure to every type of B2B sales organization over that span. John believes sales is a science, not a personality contest. His training focuses on the fundamentals that hold up regardless of what the market or the technology does next. He has been featured in Forbes, Harvard Business Review, Inc., Fortune, Entrepreneur, and the Boston Business Journal. He is the host of Make It Happen Mondays, author of I Want to Be in Sales When I Grow Up, and an LP at GTMfund.
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