Your students are walking into class with real concerns about AI. And they aren’t shy about sharing them.
- Is it cheating?
- Is it killing the planet?
- Is it taking the job they’re spending four years studying for?
These aren’t fringe opinions. They’re the loudest voices in the room.
If you’ve tried to address these concerns without a plan, you know how quickly the conversation can spiral into a debate that goes nowhere, or worse, one where students leave more confused and anxious than when they arrived.
The problem isn’t the concerns themselves.
The problem is that most professors don’t have a clear, structured way to address them while also making AI feel practical, empowering, and relevant to entrepreneurship.
That’s exactly the gap this AI lesson plan for entrepreneurship students fills.
At a glance this lesson plan:
- Addresses 3 concerns students raise every semester
- Provides 1 class session to address all of them
- Gives students the tools to build and launch an app in 7 days
Table of Contents
- Why Getting This Right Matters More Than You Think
Understand why entrepreneurship educators must help students move from fearing AI to using it as a tool for innovation and problem-solving. - What AI Concerns Get Wrong (And How to Reframe Them)
Learn how to address student concerns about cheating, environmental impact, and job displacement through practical entrepreneurship frameworks. - The Framework: The Entrepreneur Who Can Engineer
Explore the core lesson framework that combines entrepreneurial problem discovery with AI-powered building skills. - The AI Lesson Plan for Entrepreneurship Students: Step-by-Step Guide
Follow a complete classroom lesson plan, including discussions, games, app-building activities, and student assignments. - What Students Walk Away With
See the skills, experiences, and mindset shifts students gain after completing the lesson and project. - How to Run This in Your Classroom
Review required tools, timing, setup recommendations, and implementation tips for a successful lesson. - FAQ: Teaching AI to Entrepreneurship Students
Find answers to common questions about AI instruction, coding requirements, lesson duration, and student outcomes.
Why Getting This Right Matters More Than You Think
Entrepreneurship is about solving problems. That’s the core of what we teach.
But right now, 19% of students see AI as the problem, something to be avoided, debated, or feared.
If we don’t reframe that, we’re sending graduates into a world where AI is their co-founder, their competitor, and their most powerful tool, and they’re walking out the door afraid to touch it.
The professors who figure out how to flip that script aren’t just teaching a better class.
They’re fundamentally changing what their students are capable of building, and who they’ll become as entrepreneurs.
“The professors who figure out how to flip the script on AI aren’t just teaching a better class. They’re changing what their students are capable of.”
The stakes are high for students too.
The job market they’re entering doesn’t reward people who can debate AI. It rewards people who can use it to build things, solve problems, and create value that didn’t exist before.
That’s the opportunity this AI lesson plan for entrepreneurship students is built around.
➡️ Skip straight to the lesson plan here
What AI Concerns Get Wrong (And How to Reframe Them)
Before students can become builders, they need real answers to the concerns they’re already carrying. Let’s address the three biggest concerns:
1. “AI is cheating.”
This is the most emotionally loaded concern, and it deserves a nuanced answer, not a dismissal.
This AI lesson for entrepreneurship gives students a rule to go by:
AI is cheating when it robs you of an important learning opportunity.
If your goal is to become a marketer and you use AI to generate all your marketing strategies without engaging with them, you’re cheating yourself.
But AI is not cheating when it creates a learning opportunity, such as when it helps you understand something faster, frees you up to focus on higher-order thinking, or lets you build something you couldn’t have built before.
Using AI to learn how to build software, iterate on a product, or experiment faster isn’t cheating.
It’s skill acquisition.
If you are rethinking assessment for the AI era, see our guide to designing AI-proof assignments.
💡 Teaching Tip
Ask students: “When do you think AI is cheating?”
Let them draw the line themselves before showing the framework. It lands much harder when they’ve already wrestled with the question.
2. “AI is destroying the environment.”
Students have seen the headlines about AI’s water use and energy consumption.
They’re not wrong that the numbers sound alarming, but context changes everything.
The AI Co-Founder lesson plan uses a wagering-style multiple-choice game to reveal that a single AI query uses approximately half a raindrop of water.
The scary aggregate numbers students have heard refer to millions of queries happening simultaneously in a single data center, a concentration effect, not an inherent inefficiency.
💡The broader takeaway: When students use AI for real, substantive work rather than generating low-value content, they may actually be more environmentally efficient than the alternative.
The key phrase is real work.
3. “AI is going to take my job.”
This is the concern with the most at stake and the one that creates the biggest opening.
The honest answer:
Yes, AI is displacing certain roles.
Companies hire problem solvers. Marketers solve marketing problems. Accountants solve accounting problems.
If AI can solve those problems, the calculus on headcount changes.
But here’s the pivot: The answer isn’t to avoid AI.
It’s to become the kind of problem solver AI can’t replace.
And that’s precisely what entrepreneurship education already teaches, you just need to connect the dots for students.
The Framework: The Entrepreneur Who Can Engineer
This is the intellectual core of the lesson.
Draw a Venn diagram on the board (or use the slide included in the lesson plan) with two overlapping circles.
Entrepreneurship Skills
- Empathy
- Experimentation
- Problem discovery
This is what you already teach. Critically, it’s also what AI can’t do.
AI can’t go out into the world, talk to customers, feel frustration, or notice the gap between how things are and how they could be.
Engineering Skills
- Building websites
- Creating apps
- Developing software
- Designing digital tools
This is what AI is getting very good at, very fast.
The Overlap
The person who sits in the overlap, who can discover problems AI can’t find and use AI to build solutions, is the most valuable person in any room.
That’s what the lesson calls: The Entrepreneur Who Can Engineer.
In your entrepreneurship class, students are already developing the left circle.
What they haven’t had access to until now, is a way to participate in the right circle without a computer science degree.
AI app builders like Lovable change that. And that’s where this AI lesson plan for entrepreneurship students moves from framework to action.
AI can’t discover problems. That’s your students’ competitive advantage and your classroom’s secret weapon.
The AI Lesson Plan for Entrepreneurship Students: Step-by-Step Guide
The full lesson plan runs using Course Rally, an interactive lesson delivery platform that combines discussions, slides, games, timers, and assignments in one place.
Students scan the lesson plan QR code and then use their phones to interact throughout the lesson.
Before you start the lesson:
- Watch the CourseRally tutorial below:
- Copy the lesson into your own Course Rally Account:
- (Optional) Read through the full lesson plan breakdown below.
Step 1: Think-Pair-Share Discussion (~15 min)
The first slides in the Course Rally lesson plan launch two discussion questions:
- What are your biggest concerns about AI?
- What are the benefits of AI?
Students answer individually, compare responses with a partner, and then debrief as a class.
Participation points feed into a live leaderboard that runs throughout the lesson.
Step 2: Slides Part 1 – The Big Picture (~15 min)
Pages 1 to 2
- The first couple slides address the three major AI concerns directly.
Pages 3 to 5
- Transition into the jobs conversation.
- Introduce the Entrepreneur-Who-Can-Engineer framework.
Step 3: Environmental Sustainability Game (~10 min)
Students wager points based on confidence in their answers.
For each question:
- Bet 100 to 500 points.
- Correct answers earn points.
- Incorrect answers lose points.
The questions focus on AI’s environmental impact.
The Golden Moment
After students place their wagers (but before you reveal the answer) you have maximum attention.
Use that moment to explain context, responsible AI use, and why headlines often sound scarier than reality.
Then reveal the answer.
Step 4: Slides Part 2 – Let’s Build Something (~15 min)
Pages 1 to 2
Close the loop on sustainability and cheating concerns.
Pages 3 to 6
Introduce one (or all) of the following AI app builders:
- Lovable
- Figma
- Google AI Studio
Run a live demo.
A suggested example: “Hire a Student” Marketplace
Local families post jobs for college students such as:
- Tutoring
- Babysitting
- Lawn care
Families can post for free, but pay to see applicants.
Walk students through the product.
Show what works.
Show what breaks.
Normalize iteration.
Pages 7 to 8
Show the starter prompt and allow students time to choose a personal problem they want to solve.
🤖 Starter Prompt:
Help me build an application to help me, and potentially other people, who struggle with [insert problem]. In particular, I have a hard time [insert specifics or a story]. Ask me questions that will help you build the ideal solution.
This turns Lovable into a collaborative partner rather than just a tool.
Step 5: In-Class Build Session (15 min)
Students receive 15 minutes to begin building.
Encourage:
- Experimentation
- Iteration
- Creativity
The goal is not a polished product. The goal is a first experience of what’s possible.
Finish with a short show-and-tell session.
Step 6: The Week-Long Assignment
Days 1 to 4
Tell students to use the app daily and iterate at least twice.
Day 5
Have students get a friend to use the app.
Observe:
- What works
- What breaks
- What confuses them
This introduces real user research.
Day 7
Have students record a two-minute reflection video:
- 30 seconds demo
- 30 seconds surprises
- 60 seconds future applications
Step 7: Demo Day
One week later, students present what they built.
Suggested format:
- 2 to 3 minute live demo
- One thing that worked well
- One thing they’d change
- One way they could use this professionally
Students return with something rare: A real product, built for a real problem, tested by a real user.
What Students Walk Away With
By the end of the week, every student will have:
- Built and published a live app
- Used it in their real life
- Gathered feedback from a real user
- Iterated based on actual experience
- Reflected on how AI fits into their future career
More importantly, they’ll leave with a framework to build their confidence and skills.
The Entrepreneur Who Can Engineer becomes a mental model they can carry into every future role, whether they’re launching a startup, joining a growing company, or helping an established organization adapt to AI.
And they’ll have answered the questions they walked in with through evidence, experience, and a working product.
How to Run This in Your Classroom
Before Class:
Build one sample app in Lovable that you can demonstrate.
Tools Needed:
- ExEC / CourseRally
- Lovable (or any other AI app builder)
Cost to Students:
Free!
Recommended Browser:
- Chrome
- Safari
- Edge
Time Requirements:
- Main lesson: 60 to 75 minutes
- Assignment: 7 days
- Demo Day: ~30 minutes
FAQ: Teaching AI to Entrepreneurship Students
1. How do you teach AI to entrepreneurship students?
Reframe AI from a threat into a tool. Address the three concerns students raise (cheating, the environment, and jobs), then have students use an AI app builder to design and launch a working app in a week. No coding is required.
2. Is it cheating for students to build an app with AI?
AI is cheating when it robs a student of an important learning opportunity. Using AI to build software, iterate on a product, or experiment faster is skill acquisition, not cheating.
3. Do students need to know how to code for this lesson?
No. AI app builders, like Lovable, let students describe a problem in plain language and get a working app, so the lesson works in any entrepreneurship class without a computer science background.
4. How long does this AI lesson plan take?
The main in-class lesson runs about 60 to 75 minutes, followed by a 7-day build assignment and a Demo Day of about 30 minutes (depending on class size).
5. What do students produce by the end?
Every student builds and publishes a live app, uses it in real life, gathers feedback from a real user, iterates on it, and reflects on how AI fits into their future career.
Get the Full AI Lesson Plan
This article explains how the lesson works and why it is structured this way.
The complete instructor package includes:
- Full step-by-step instructor guide
- Full slide set for classroom presentation
- Complete CourseRally setup walkthrough
If you’re already an ExEC member, the lesson is available in your dashboard.
If not, preview ExEC or subscribe to the newsletter to receive the complete guide.
Want 30+ more engaging exercises?
