I spent last week catching a flight, sharing an Uber, and killing time in an airport terminal with Keith Richards. We got to talking about AI, and he shared something that stuck with me. It wasn’t the usual fear about AI taking all the jobs—it was about removing the talent pipeline.

He was talking about how AI has changed marketing. It’s not just about losing roles; it’s about losing the “entry-level” work that actually teaches you how to be an expert later on. When you remove the bottom rungs of a ladder, nobody can get to the top.

The Problem with Skipping the Basics

In sales, we often think of junior roles as just “busy work.” In reality, those roles are an apprenticeship. You don’t learn how to close a million-dollar deal by watching a video. You learn by doing the repetitive work of finding, talking to, and qualifying prospects.

If a junior salesperson uses AI to write every email and research every lead, they skip the “struggle phase.” They might hit their numbers today, but they aren’t building the mental muscle to lead a sales team tomorrow.

5 Things We Lose When AI Does the Sales Entry-Level Work

When we let AI handle the “simple” tasks, we stop developing the skills that senior sales leaders need:

  1. The “Real Opportunity” Filter: In a junior role, you learn what a real sale looks like. You learn to spot the difference between someone who is just being nice and someone who actually has a budget and a problem you can fix. AI can find keywords, but it can’t “feel” when a prospect is just wasting your time.
  2. Handling Rejection: You need thick skin in sales. You build that skin in the trenches of cold calling and outreach. If AI handles all the “no’s” and only gives you the “yes’s,” you’ll fall apart the first time a high-stakes negotiation goes wrong.
  3. How the Machine Runs: When you do the data entry or the basic CRM work, you learn how the business actually functions. If you never touch the data, you’ll never understand why a pipeline report is broken or why a lead source is failing when you’re the VP of Sales.
  4. Fixing Small Fires: Entry-level sales is full of small mistakes—a wrong calendar link, a bad lead, or a missed follow-up. Fixing these teaches you how to stay calm and pivot. If AI makes everything perfect, you never learn how to scramble when a real deal hits a snag.
  5. Building Customer Intuition: When you spend hours every day digging into prospect profiles or listening to calls, you develop an instinct. AI gives you a summary, but it doesn’t give you the “gut feeling” that tells you why a customer is hesitant or what will actually get them to sign.

How to Fix It: Using AI as a “Flight Simulator”

We can’t stop using AI, but we have to use it to speed up learning, not bypass it. Here is how you turn a “shortcut tool” into a training ground:

  • The “Show Your Work” Rule: If a junior uses AI to write a prospecting email, they have to explain why it’s good. Why did the AI choose that hook? Why is that call to action right for this person? If they can’t explain the logic, they haven’t learned anything.
  • The “Bad Lead” Challenge: Give a junior five AI-generated lead profiles. Tell them four are great and one is a “looky-loo” who will never buy. Have them identify the dud and explain their reasoning. This builds the “disqualification” muscle that AI often ignores.
  • AI Sparring: Use AI to role-play. Have juniors practice with an AI “customer” who is mean, skeptical, or has a hidden objection. This builds their confidence and their ability to pivot before they talk to a real person.
  • The “Reverse Prompt” Exercise: Give a junior a high-performing, human-written sales email and ask them to write the prompt that would generate it. This forces them to break down the components of a successful message—tone, value prop, and urgency.
  • The “Find the Mistake” Game: Give a junior an AI-generated sales plan and tell them, “The AI made three mistakes here. Find them.” This teaches them to be a critic, not just a user. It trains them to spot when an AI is being too generic.
  • Variable Pressure Testing: Use AI to simulate a “crisis” call. Give the AI a persona of a long-term client who is about to leave due to a specific failure. Let the junior navigate the conversation. It’s a safe space to fail, but the emotional stakes feel real enough to build “scar tissue.”
  • Manual Days: Once a week, turn the AI off. Make the team do the research or write the outreach from scratch. It’s slower, but it keeps their skills sharp and ensures they aren’t becoming dependent on the tool.

The Bottom Line: The Toaster Paradox

I am an electrical engineer by trade. I know exactly how a toaster works—the physics, the circuitry, the heat transfer. But if you put me in a workshop and told me to build one from scratch, I couldn’t do it.

Why? Because I never actually had to assemble one for my degree. I learned the theory, but I skipped the hands-on assembly. Today, toasters are made by machines and treated as throw-away items. No one fixes a toaster because the parts aren’t standardized and the work isn’t worth the cost.

But there is a big difference between toasters and sales.

A toaster is a formula that can be automated. Sales is not. Sales is built on person-by-person trust. You can’t automate trust, and you can’t “calculate” a relationship.

If we could simply “assemble” a deal like a toaster, we wouldn’t need a sales force—we would just have a website do the selling. That model works for commodity products sold on Amazon based on price. But your sales force exists to create unique differentiation, not to sell a commodity.

If we let AI “assemble” every interaction, we are creating a generation of sales leaders who understand the theory but have no idea how to build trust from scratch. We are creating “throw-away” skills that can’t be repaired when a deal gets complicated.

Efficiency is a trap if it leaves you with a team that can run a machine but doesn’t know how to create the human differentiation that wins the deal. We need to make sure our “entry-level” jobs are still teaching people how to be the builders of tomorrow.

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About Author

Joseph Griffiths is a Presales Educator and Coach dedicated to helping solution engineers, technical sellers, and sales leaders achieve greater success.

My career spans enterprise technology sales, solution architecture, and leadership roles where I built and implemented complex cloud and data center solutions. Along the way, I earned elite certifications such as VMware VCDX-DCV and VCDX-CMA, which give me the technical depth to match my business expertise. This combination of skills allows me to coach sales professionals on not just the how of technology, but more importantly the why — what truly matters to customers and drives business impact.

Through my technical sales coaching and presales training programs, I focus on building confidence, sharpening customer discovery, and creating measurable business value in every conversation. I help sales teams and individual contributors uncover customer priorities, frame solutions effectively, and communicate with impact. My approach blends proven frameworks with real-world experience to equip sellers to move deals forward faster and build stronger customer trust.