SALES TECH

Morning Brew Design

Editor’s note: Your Tech Stack is an occasional series about, well, your tech stack. How do you build it? Should you go with an all-in-one provider or take a mix-and-match approach? What’s the best bang for your buck?

Those are the types of questions we’ll aim to answer. Have a specific challenge? Send it to: [email protected]. (Miss the inaugural installment? Right this way.)

For business majors hoping to land an entry-level sales job in the next year, the proliferation of AI into SDR and BDR roles might seem like a nightmare. And trepidation is certainly warranted: Some companies are using AI to accomplish work that would otherwise be delegated to entry-level employees. Some are hiring fewer recent grads—or expecting them to be trained right out of school.

But others are reimagining how SDRs and BDRs can work alongside AI in a way that prepares recent grads for the sales landscape they’ll be working in long-term. These investments in training new hires on the technology and changes in job descriptions poke holes in the pervasive narrative that all entry-level sales jobs will be wiped off the map by AI.

Right-hand man

A pioneering example is that of Asymbl, a workforce orchestration company that paired (human) BDR Mitch Canaday with an AI agent dubbed “Teddy” that would do the same work as Canaday.

Canaday provided messaging and reviewed Teddy’s work weekly, and over time optimized his own output based on his past successes and those of the agent. Though Canaday wasn’t right out of school at the time, he told Morning Brew while he trained Teddy, he was being trained, too.

“It’s very important to understand the information that you’re giving to the agent, because at the end of the day, it will be doing the outreach, potentially at volume,” Canaday said. “So there is a component of making sure that the humans are also trained well…Without the human involved, technology just sits there.”

Keep reading for the benefits of robust training.—TC

      

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REVENUE STRATEGY & LEADERSHIP

Brunt

It’s boom times for the workwear market globally, with the segment valued at $19 billion and expected to grow to $28 billion by 2033. If Carhartt, Dickies, or Strauss come to mind that would make sense, especially if you’ve taken at least one stroll around Williamsburg in the past year.

One brand, Brunt Workwear, has used authenticity to ride the workwear wave to $300 million in annual sales. Revenue Brew spoke with company executives about how it cultivated such a distinct brand, staying authentic amidst trend cycles, and getting the product just right.

If the boot fits: According to founder and CEO Eric Girouard, the company started as a branding concept, not a boot. The actual aesthetic of the boot was created as a way of representing the future business’s ideal customer profile.

“My buddies were like, ‘Why don’t you build a brand for us that looks like us and talks like us?’ All these heritage brands really focus on themselves. They talk about when they started and what they did back in the early 1900s or late 1800s. Our entire brand is focused on the actual customer,” Girouard said.

Girouard employed a successful direct-to-consumer model, but ultimately wanted to meet his customer base where they shopped; so the brand expanded into stores. Now, six years after it first started shipping products in 2020, Brunt has opened a flagship location in North Reading, Massachusetts.

Throughout the brand’s evolution, Girouard has insisted the mission was to stay focused on the worker, not follow trends.

“I no longer make long-term decisions. I make legacy decisions, and so if it’s a decision that isn’t going to be a good decision for the brand 10 years from now, it’s a bad decision,” Girouard said.

Read more on Brunt’s consumer-centric creation model.—BS

      

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REVENUE OPERATIONS

Illustration: Morning Brew Inc., Photos: Adobe Stock

It was the splurgiest of times, it was the thriftiest of times—both can be true of IT budgets right now, depending on the price tag attached to every exec’s favorite two-letter buzzword.

While some companies are starting to get sticker shock from all their AI spending, investment in the technology continues to be a top priority for IT leaders. That means fewer resources left for more quotidian line items like infrastructure maintenance or legacy software contracts.

A recent Goldman Sachs survey of CIOs found that 42% of respondents—up from 35% in a previous survey last November—now expect AI to exceed 10% of their budgets in the next three years. Meanwhile, overall IT spending dipped slightly, and funding for two-thirds of AI inference costs is coming from budget reallocation, according to the survey.

“There may be some crowding out of category spend not tied to AI,” Goldman analysts led by Gabriela Borges wrote in the note. “[And] there may be some hesitancy on committing to larger IT projects before the impact of AI on core budget categories is clear.”

Funneling back to AI

For Mike Arrowsmith, chief trust officer at IT platform NinjaOne, the last six months in particular have been full of meetings and projects aimed at weaving AI into every aspect of the company’s IT operations.

“We’ve literally jam-packed all of our schedules, all of our available capacity to adopt some flavor of AI for the benefit of being able to ultimately come back to finance to ask for less,” Arrowsmith said.

Because IT is typically seen as a cost center rather than a revenue generator, there tends to be more pressure to run leaner and optimize for cost and tool usage, Arrowsmith said. But for NinjaOne, the productivity gains made with AI have yet to lead to much savings as the company invests more and more in the tech.

Keep reading for how AI implementation can drive efficiency.—PK

      

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Stat: 13%. That’s how much Netflix grew its revenue during Q2, a strong showing as the company is starting to feel churning pressures from competitors like Youtube and TikTok. (the New York Times)

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