Sales Teams That Train Their "Rejection Muscle" Close Deals When AI Can't Do It for Them

Sales teams have more software at their disposal than ever, but all those new tools aren't magically helping reps hit their numbers. Companies are spending heavily on evaluating leadership and acquiring tooling, expecting an instant bump in performance, but outfitting a team with the latest tech often creates an unexpected side effect. When too much of the selling process runs on autopilot, reps lose the chance to practice the unglamorous fundamentals like prospecting, navigating rejection, and actually talking to buyers. The real operational hurdle is figuring out how to strip out the busywork without letting those core selling skills atrophy.

Valerie Avila has watched this play out up close. She's the Head of International Sales and Account Development at HR and payroll platform Justworks and helped scale the company from zero to more than $400 million in revenue over a 12-year run across nine different roles. In her work building teams from the ground up, she's watched how each wave of sales technology has reshaped what sellers can do, what they expect, and what they struggle with. She often sees companies try to buy their way out of people problems with new software, only to realize they still need to teach their sellers how to work.

"We've added a million tools to sales teams, but we haven't taught people how to actually operate in the world those tools created," Avila says. She's pointed in her assertion that organizations have overinvested in tooling and underinvested in employee development, a problem that plays out in the form of sellers waiting for pipeline instead of building it. 

Automation breeds passive sellers

Avila sees AI-driven efficiency producing an unintended side effect. When automation handles outreach, scheduling, and even initial qualification, reps default to receiving rather than pursuing. The hunger that once defined early-career sales development is eroding. "When I started sales, it was smile and dial," she recalls. "One of the most amazing things about a sales career is that it teaches you resilience in the face of rejection early. But the downside of automation is that it creates a space where people are just waiting for a call to be put on their calendar. That's not how opportunity works in life." She's noticed the shift in interviews. Candidates who started their careers post-pandemic or in heavily automated environments show more nervousness in live conversations. "My biggest fear is that this next generation of sellers isn't getting the baseline experience of how to talk to people."

The seller profile is changing

The capability gap isn't all negative. Avila sees AI creating new entry points into sales for people who wouldn't have considered the career before. The role increasingly demands analytical thinking like interpreting pipeline behavior and segmenting prospects using data, which opens the door for sellers with a more analytical disposition. "The entry point now is how good are you at navigating analytical tooling, reading intent signals, and understanding what behaviors a customer or prospect is exhibiting throughout your pipeline. That matters more because customers are oversaturated with messaging, and you're not going to stand apart if you don't do that."

She points to a recent new hire who submitted a prospecting proposal that incorporated Claude for account research, scraped external and internal signals, and built a segmented plan before ever picking up the phone. "What is possible today just didn't exist when I started sales," Avila says. "The creativity is there. The question is whether leadership is giving people the space and the coaching to use it."

Rebuild the rejection muscle

For all the analytical capability AI enables, Avila believes the foundational sales skills haven't changed. Role plays still work. Failure-sharing still builds resilience. Fostering a culture where reps can talk openly about what went wrong, without fear, is still the fastest path to improvement. "Celebrating and sharing failures, creating an environment where you can talk about where you messed up, identify it for yourself, and be willing to solicit feedback from your team and your leaders, that's foundational stuff. We're still human at the end of the day. Those tools still work." She advocates for designing junior roles around higher-velocity, lower-stakes work that accelerates learning through repetition. "That can speed up their learning," Avila asserts. "Depending on the company, the structure can differ, but foundational skills and coaching methodologies don't change."

She believes the churn-and-burn hiring model is incompatible with the modern seller profile. "If you're in a more consultative sales process and you have that mindset of hire twenty to keep five, you're missing the mark. You need people who are going to stick around, grow, and become capable in the ways you need. I don't see churn-and-burn being the future state."

Tinker with direction

Avila's advice for leaders is practical: start experimenting with AI tools, but do it with intent. Pick a focused stack, give sellers direction on how to use it, leave room on the calendar for exploration and creativity, and remember that the goal of every tool is to accelerate rather than replace human conversations.  "I think it's really important that every person in any role is starting to tinker with the tools at their disposal," she says. "But if you're going to spend money and you don't want to be the one figuring everything out, going with an out-of-the-box structure from day one can help. Regardless, tinkering and testing is critical." Looking toward the future, she believes the organizations that pull ahead will be the ones that taught their people how to use fewer tools well, gave them the coaching to handle live conversations with confidence, and stayed close enough to the human side of selling to know when the technology helps and when it gets in the way.