Here’s the counterintuitive reality: the more AI automates the sales process, the more valuable your human sellers become.
That’s not a feel-good take. That’s what the market is actually telling us.
We brought together Blake Tiemeyer, Director of Growth Acceleration at General Atlantic, and Amy Kramer, Operating Partner for Go-to-Market at Level Equity, for our State of the Industry: Value Creation webinar.
The thread that ran through the whole conversation: automation is raising the bar for human sellers, not replacing them.
What’s Old Is New Again
If you want a leading indicator of where the market is going, look at what’s coming back.
Events are back. Physical mailers are back. Field time is back. The tactics that felt outdated three years ago are having a renaissance, and it’s not nostalgia. It’s a rational response to a market drowning in automated outreach.
Amy put it plainly: “What’s old school sales is actually back in. Events, relationship building, even mailers. Physical mail is back in as well. The relationship piece becomes that much more important.”
When every inbox is flooded with AI-generated sequences and every website chat is handled by a bot, the things that don’t scale become the things that stand out. A handwritten note. A dinner. A rep who shows up. Those signals cut through in ways that no automation can replicate.
This isn’t a reason to abandon AI. It’s a reason to be intentional about what AI should and shouldn’t own.
Clear the Plate, Not the Position
The goal of AI in the sales process isn’t to replace sellers. It’s to get things off their plates so they can do the work they were actually hired to do.
Think about what eats a seller’s day right now: logging activities, updating stages, scheduling follow-ups, qualifying cold inbound, chasing down data. None of that requires emotional intelligence. None of it closes deals. All of it takes time away from the conversations that actually move the needle.
Amy’s framing is exactly right: “What AI empowers you to do is take a lot of the administration off so that we can focus more on that. Getting our teams back in the field. Spending more time traveling.”
Blake sees the same pattern on the inbound side. AI SDRs and chat-based qualification tools are handling 24/7 coverage, ICP scoring, and meeting booking at scale. That frees human reps to show up to conversations that are already warmed, already qualified, and actually worth their time.
The compounding effect is real. McKinsey research has found that companies using AI for sales automation can free up 20-30% of their sellers’ time. The question is whether that time gets reinvested into high-value activity or swallowed by more administrative noise.
No Commercial Leader Wants AI Closing Their Deals
Nobody actually wants an AI agent negotiating their enterprise contract.
Blake was direct about it: “I’ve yet to talk to a commercial leader that wants AI negotiating or closing or doing any of those high relationship, high EQ tasks. They want to get all the other stuff off of their seller’s plate so that their sellers can do what they were hired to do, which is actually to build that relationship and drive that conversation.”
That’s the real line. Qualification, scheduling, data entry, signal recognition – these are tasks. Relationship, trust, negotiation, closing – these are skills. The former can be systematized. The latter still requires a human who understands nuance, can read a room, and knows when to push and when to wait.
The companies getting this right aren’t just deploying AI tools. They’re getting clearer about which parts of the funnel benefit from automation and which parts demand human judgment. Those aren’t the same list.
The Transparency Advantage
One of the more surprising findings from the webinar: prospects are actually more candid with AI agents than with humans… as long as you tell them it’s AI.
Amy referenced a conversation with the CEO of Spara, a conversational AI platform, who made a compelling case for disclosed AI agents. Their data showed 90% of customers choose to expose that it’s an AI agent rather than pretend it’s human.
“People give such better, more blunt responses with an AI agent than they would with a person. That’s actually really good data for your sales rep.”
Blake connected this to a broader insight: removing human social dynamics produces better data. NPS surveys, voice-of-customer calls, early qualification conversations – when people know they’re talking to AI, they drop the politeness filter and say what they actually mean.
That’s a meaningful advantage. Better qualification data. Cleaner objection capture. More honest signals flowing back to the human reps who need them to have real conversations.
The play isn’t to use AI to replace the human rep in high-stakes moments. It’s to use AI to gather the intelligence that makes those human moments more effective.
Brand Awareness Is Back on the Radar
One metric that’s quietly climbing the priority list: brand awareness.
For growth-stage B2B companies, brand has historically been deprioritized in favor of demand gen and pipeline. That calculus is shifting. Amy was candid about why: “Especially with there just being so much noise in the market and so many new competitors popping up, as well as optimization for LLMs – brand awareness and having trust in a business is really important.”
This isn’t about billboards or awareness for its own sake. It’s about trust signals: media mentions, reviews, LLM citations, category presence. When a prospect starts their buying process in ChatGPT or Perplexity instead of Google, the companies that show up are the ones that have built enough credible signal across the web to be surfaced.
Amy’s framing is right: you can’t look at brand in isolation. If win rates are holding steady and traffic is healthy, a thin brand footprint may not be hurting you yet. But if traffic is down or conversion is slipping, brand might be the silent culprit worth investigating.
The practical takeaway: don’t wait for a performance dip to start building brand equity. In a crowded market with AI-generated noise everywhere, trust is a compounding asset.
The Bottom Line
AI is redefining what a great seller looks like. It’s not someone who can send more emails or log more calls. It’s someone who uses the time AI creates to actually build relationships, read rooms, and close deals that technology can’t touch.
The operators getting this right aren’t just buying the AI tools. They’re redesigning their revenue organizations around a simple question: what should only a human do?
At York IE, we help growth-stage companies answer that question across go-to-market strategy, revenue operations, and AI-enabled execution, so that automation multiplies your best sellers rather than replacing them.
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