Episode 140

Why Combining Two Skills Plus AI Beats Knowing Just One Thing

AI fluency, two strong skills, and why the rep who sees around corners stays ahead

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Episode summary

One question after the main recording: how are you actually using AI right now? Hunter Starr and I kept going after episode 138. This five-minute follow-up captured a clear point of view on what separates the reps who stay relevant from the ones who won’t.

Hunter is the President of Performance Technical Sales, a manufacturers rep firm serving OEM engineers across the Carolinas and the Southeast. His answer is not theoretical. It is what is actually working in the field right now, in conversations with customers across industrial, defense, medical, and agricultural markets.

Jensen Huang said the smartest people in the next decade will not be the coders. They will be the ones who combine AI fluency with the skills a system cannot replicate. Hunter and I both landed in the same place. The rep who brings two strong skills plus AI into every customer conversation has an edge that compounds over time.

AI handles the front end now: research, cross-referencing, first-draft email, product comparison. That work used to take hours and now takes minutes. What still decides whether a deal moves forward is what it has always been. Can the rep see around corners for the customer, anticipate the application risk, and be the one the customer calls back when something changes?

This bonus episode is for reps, rep firm owners, distributors, and sales leaders trying to figure out where to invest their time as AI compresses the workflow. The tools matter. The skill stack behind them matters more.

From the Conversation

“The rep can really be that guide to see around corners for their customers. That is where the human edge is.”

Hunter Starr, CPMR

President, Performance Technical Sales

“You have to be good at more than one skill. Combine two or three, add AI on top, and the advantage compounds.”

Sannah Vinding

Engineer | Global Product Marketing & GTM Leader, Host Leadership in Manufacturing

Episode highlights

Why “seeing around corners” is the rep’s durable edge

      • The phrase came out naturally mid-conversation: the rep can really be that guide to see around corners for their customers. It is the part AI cannot replace. AI can pull the datasheet, cross-reference the part, draft the follow-up. What it cannot do is understand where a customer’s roadmap is heading two years out, or know which application risk will surface before it shows up in testing. Hunter’s point is that the reps who translate signals into foresight are the ones customers call back. AI compresses the front end. Judgment still owns the edge.

Practical Tip

Map your two strongest skills, then add AI on top

If you want to build the kind of edge Hunter described, start with your own skill stack. Most reps have more than one strength, but they default to leading with just one. The rep who combines two intentionally and layers AI on top covers more ground than the one who doubles down on a single specialty.

  • List three or four things you genuinely do well: technical depth, customer communication, industry context, follow-through, negotiation, whatever actually shows up in your work
  • Pick the two that compound when paired, for example product knowledge plus industry-specific messaging, or application engineering plus account ownership
  • Choose one AI workflow that accelerates one of those skills rather than replacing it: research and cross-referencing, email drafting, meeting prep, competitive intel
  • Practice that combination every week until it feels native, then add a second AI workflow on top

The result is a rep profile that is hard to replicate: fast on the front end because AI is doing the legwork, and human where it matters most because your two strongest skills are leading the conversation.

The Full Conversation

This five-minute episode follows episode 138 with Hunter Starr. If you haven’t heard the full conversation yet, that is the place to start.

Episode 138: Why Judgment Still Wins in an AI-Assisted Sales World

About the guest

Hunter Starr, CPMR

Hunter Starr, CPMR

President, Performance Technical Sales

Hunter Starr is President of Performance Technical Sales, a manufacturers rep firm serving OEM engineers and purchasing teams across Eastern North and South Carolina.

With nearly a decade in manufacturer representation, Hunter works at the intersection of engineering and business, supporting applications in industrial, off-highway, defense, agriculture, and appliance markets.

His focus is on practical, proven technologies including user interfaces, power solutions, sensing, circuit protection, connectivity, and manufacturing services that reduce risk and improve long-term product performance.

Hunter is a Certified Professional Manufacturers’ Representative (CPMR), was recognized as a Rising Star by the Electronic Representatives Association, and is known for a straightforward, service-driven approach built on trust, responsiveness, and technical understanding.

Who this bonus episode is for

This bonus episode is built for:

    • Manufacturers reps and rep firm owners deciding how to build an AI-assisted workflow without losing the relationship work
    • Sales leaders in distribution and manufacturing thinking about where to invest their team’s time as AI compresses the front end
    • Product marketers and GTM leaders who work with rep channels and want to understand where the rep’s value is shifting
    • Early-career reps trying to figure out which second skill to develop alongside their primary strength

What you will be able to do after listening

After listening to Episode 140, you will be able to:

    • Identify your two strongest skills and spot where an AI workflow could compound your edge
    • Separate the parts of the rep workflow AI now handles from the parts where human judgment still wins
    • Rethink where you spend your practice time now that research and first-draft work are no longer the bottleneck
    • Explain to your team or leadership why “smart” in technical sales is being redefined
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