ai

Future-Proofing Your Course Business Against AI

AI is now baked into nearly every workflow a course creator touches, from scripting to email to product design. According to Amy Porterfield's online marketing podcast, the people who win the next wave will not outspend the rest. They will out-design the experience around their content.

That is the core argument Stu McLaren laid out in a recent episode focused on the learning business. He has worked with tens of thousands of authors, coaches and consultants, and his message is blunt: stop treating AI as a novelty and start treating it as a delivery tool.

What happened

  • Stu McLaren appeared on Amy Porterfield's podcast to discuss how AI is reshaping the online learning industry.
  • The conversation framed AI as a tool for content creation, brainstorming and member retention rather than replacement.
  • A 92% membership retention figure for Peloton was used as the anchor example for experience-led design.
  • McLaren highlighted Searchie and Copy Creator as AI tools he uses personally.
  • A free workshop called Corporate Masterclass was promoted as a next action for listeners.

The experience-first lesson behind Peloton's retention

McLaren opened the topic with a number that should make any course creator uncomfortable: Peloton reportedly holds a 92% membership retention rate. His explanation was not about price or celebrity instructors. It was about reinforcement.

The company layers in badges, milestone markers and habit rewards so members keep stacking small wins. Members feel seen, not just streamed at. That is the same mechanic a course creator can copy without spending a fortune. Treat completion as a celebration, not a checkbox.

His takeaway was simple. Think about the experience of consuming content as much as you think about the content itself. If learners feel a sense of progress in your product, they stop price-shopping your next launch.

AI as a content pruning tool

The episode spent real airtime on a less glamorous point: content needs pruning, not just planting. McLaren compared a content library to a lawn. A lawn that never gets cut becomes a jungle your members will not wade through.

AI fits here as a triage assistant, not a writing assistant. Use it to flag outdated lessons, group similar modules and surface the dead weight in your membership areas. Treat it like a ruthless editor that frees you up for the work AI cannot do, like being on camera, building trust and answering questions in your community.

What it means for you

If you sell courses, memberships or any kind of cohort program, the warning signs are familiar. Members stop logging in, completion rates flatline, refunds spike a few months in. AI does not fix any of that by itself. It just gives you faster tools to redesign the experience and trim what no longer serves the buyer.

The risk for creators who ignore this is being buried by cheaper, faster competitors using AI to produce endless content. The opportunity for creators who act on it is building the kind of sticky experience commodity courses cannot replicate.

Worked example: a focused AI retention sprint

Say you sell a cohort-based program and your retention has slipped over the last several launches. Here is one way to use AI inside a single short sprint.

Phase one: Feed your existing modules into an AI tool and ask it to cluster lessons by topic and flag anything rarely opened. Phase two: Rewrite your onboarding sequence using your highest-engagement lessons as the template, then add milestone badges tied to those lessons. Phase three: Use AI to draft a win-stacking email that celebrates each badge. Phase four: Ship it and watch the activation metric.

That is a sprint a small team can complete inside a couple of weeks. It borrows the Peloton idea, not the Peloton budget.

What to watch next

Watch whether the next wave of AI tools targets delivery, not production. So far most of the noise has been about how fast AI can write. The smarter bet is on tools that help creators measure, retain and re-engage. That is where the durable advantage sits.

Bottom line: AI will not save a dull course. It will, however, give a sharp course operator the same use a media company once needed an entire studio to buy.

Key takeaways

  • Treat AI as a delivery and retention tool, not just a writing shortcut.
  • Borrow Peloton's reinforcement model: stack visible wins, not vague promises.
  • Prune your content library every quarter; AI makes this fast and cheap.
  • Run short sprints that combine AI triage with human trust work.

Frequently asked questions

What was the main argument of the AI and digital marketing episode?

Stu McLaren argued that AI is reshaping the online learning industry and that creators should use it to improve the experience of consuming their content, not just produce more of it.

Why was Peloton's 92% retention figure used as an example?

McLaren used it to show that habit reinforcement and milestone rewards matter more than content volume in keeping members engaged.

Which AI tools did McLaren mention in the episode?

He named Searchie and Copy Creator as tools he uses for brainstorming and content work.

What is Corporate Masterclass?

It is a free workshop McLaren promotes for turning knowledge into recurring revenue.

How can a small course creator apply the episode's lessons without paid ads?

Run a short sprint that uses AI to prune content, then layer in milestone badges and win-stacking emails.

Related