I just watched a TED Talk that asked a question every customer education leader needs to hear:

"If AI could take over all of your team's tasks, who would you keep and why?"

Not a comfortable question. But a strategic one.

The speaker, Vinciane Charlot, works with Fortune 500 companies preparing for AI agents—autonomous systems that can plan, execute, and adapt without human intervention. And her central argument flipped my thinking: The question isn't whether AI will replace parts of what we do. It's whether we're intentional about what humans should be best at.

For customer education, this isn't theoretical. It's happening now.

AI can already:

So if AI can do the doing, what's left for customer educators?

The talk highlighted a consumer goods company facing this exact question with their sales team. AI agents could target customers, make recommendations, negotiate, and close deals autonomously. Technically feasible. Strategically shortsighted.

Because when they looked at their most loyal customers, they weren't staying for prices or products. They were staying for how the sales rep made them feel.

Sound familiar?

Your most successful customers aren't sticking around because they completed your certification program. They're staying because someone made them feel capable, seen, and part of something bigger than a user login.

Myth 1: "We'll adapt when we need to"

The research shows only 13% of companies have embedded AI agents in their workflows today. You might think you have time. But technology moves exponentially while humans crawl linearly. The gap between "AI is emerging" and "AI is everywhere" will be shorter than you think.

For CE teams, this means the window to redefine your strategic value is now—while you still have the space to be intentional about it.

Myth 2: "Soft skills are our sweet spot"

We love to believe empathy and creativity are uniquely human. But customers are increasingly comfortable with AI interactions because AI doesn't get tired, doesn't get cranky, doesn't judge. The empathy moat is shrinking.

The answer isn't to double down on generic "human skills." It's to identify where human educators create differentiated value for your business and your customers. There's no universal list. This is strategic work.

Myth 3: "We need to protect our jobs"

41% of employees believe their jobs will vanish in the next decade because of AI. But protecting jobs is like anchoring a boat in a storm. Jobs are fixed. Human potential to grow and adapt is not.

The challenge? Our organizations aren't built for continuous reinvention. Org charts are static. Career paths are narrow. Training is occasional. This system breaks the moment job boundaries start dissolving.

Based on the talk and my work with customer education teams, here's what intentional preparation looks like:

Don't ask: "What tasks can AI automate on my team?"

Ask: "What outcomes truly differentiate our customer experience—and where do humans make those outcomes better?"

Action: Run a mapping exercise with your team. List your top 5 strategic outcomes (e.g., "customers achieve first value in 30 days," "customers become product advocates," "customers expand usage over time"). For each outcome, identify:

The industrial goods company in the talk didn't just "add AI." They ran 50 workshops reimagining how AI would disrupt each business function. Uncomfortable? Absolutely. Necessary? Yes.

For customer education, this means moving beyond "Instructional Designer" or "Training Manager" as static roles. What does a customer educator do when AI generates the courses, personalizes the paths, and answers the questions?

Action: For each role on your team, complete this sentence: "In an AI-first world, this person's unique value is _____ because _____." If you can't complete it confidently, that role needs reinvention, not protection.

Examples of reinvented CE roles:

One company in the talk needed to reformulate their entire product portfolio. AI unlocked productivity, but the real work was reinventing the researcher role: from solo chemist to data-driven, cross-functional biologist.

The key? They mapped future skills precisely and built an upskilling engine—not a one-time training, but systematic capability building.

Action: Create a 2-year skills forecast for your team:

Skills to consider:

Here's the uncomfortable truth: Why would a company invest in customer education talent if AI can deliver learning faster, cheaper, and without complaining?

The talk's answer: Because the day interacting with AI becomes a commodity, interaction with humans takes on entirely new meaning. Trust. Authenticity. Accountability.

The smartest companies will invest in all talent, not just technical talent. Systematically, not once.

Action: Make a public commitment (to your team, your leadership, your customers) about investing in human-led customer education. Then back it up:

The talk ends with this reframe:

Stop asking: "Will there still be jobs for customer educators?"

Start answering: "What do we want customer educators to be best at?"

Because in the age of AI, being human isn't a fallback. It's a practice. And for customer education, that practice is what transforms users into advocates, skeptics into champions, and transactions into relationships.

AI will keep climbing. That's not up to us.

How fast we climb with it—and what we choose to be exceptional at—that's entirely up to us.

Listen to the TedTalk here.

Learning by Design is written by Courtney Sembler. Courtney currently helps companies build scalable customer education programs. After spending over a decade scaling HubSpot Academy globally, she now explores the systems, strategies, and realities of workplace learning, leadership, and customer experience—the kind that drives retention, adoption, and revenue by design, not by accident. Published twice weekly with monthly deep dives. Connect with her on LinkedIn and subscribe to Learning by Design.