Don't tell me it can't be done.

One of my favorite moments came from an interview with legendary filmmaker Roger Corman on The Last Drive-In with Joe Bob Briggs.

He wasn't talking about artificial intelligence.

He wasn't talking about marketing.

He wasn't talking about business.

He was talking about filmmaking.

Yet every lesson he shared applies almost perfectly to learning AI.

As I listened, I realized these same principles have guided me through every major transition in my life, from serving as a Navy Corpsman to earning my master's degree in digital marketing, building businesses, and now helping others understand AI.

Here are three lessons that every AI learner should remember.

1. Be Brave Enough to Do the Rough Things First

Roger Corman said:

"Be brave enough to do the rough things first."

When people begin learning AI, they usually avoid the parts that feel intimidating.

They watch videos instead of experimenting.

They keep collecting prompts instead of writing their own.

They spend weeks researching which AI platform is "best" instead of opening one and asking a question.

Sound familiar?

The hardest part is rarely learning AI.

The hardest part is starting before you feel ready.

Instead of asking:

"Which AI tool should I learn?"

Try asking:

"What problem do I need to solve today?"

Then use AI to solve it.

Experience beats theory every single time.

2. Have a Great Plan. Be Ready to Change It.

Technology changes faster than almost any industry in history.

The AI tool you master today may look completely different six months from now.

A new model will launch.

A new feature will appear.

Another company will change pricing.

If your identity is tied to one platform, you're going to become frustrated.

Instead, build skills that transfer.

Learn how to ask better questions.

Learn how to organize information.

Learn how to think critically about AI-generated answers.

Learn how to verify sources.

Those skills will remain valuable long after today's tools evolve.

The destination stays the same.

The route will almost certainly change.

3. Open Big. Close Big.

Roger Corman also said something that stuck with me:

"Open big and close big."

I think that applies to learning as well.

Start with a project that excites you.

Build something.

Create something.

Automate something.

Solve a real problem.

Then finish it.

Don't leave twenty unfinished AI experiments scattered across your desktop.

Complete one.

Publish one.

Share one.

Teach one.

People remember finished work.

More importantly, you remember finishing.

Confidence isn't built by consuming more information.

It's built by completing meaningful projects.

The Middle Is Where Most People Quit

Joe Bob Briggs summarized Roger Corman's advice by saying we're all trying to write new chapters in our lives.

That resonated with me.

Every one of us has difficult days.

Every one of us is learning something new.

Every one of us has moments when we wonder whether we're smart enough, experienced enough, or too late to start.

The middle is messy.

That's normal.

Don't judge your progress by the awkward middle chapters.

Keep moving.

My Challenge to You

This week, choose one AI project you've been avoiding.

Don't watch another tutorial.

Don't buy another course.

Don't wait for permission.

Open ChatGPT, Gemini, Claude, Copilot, or whichever AI assistant you prefer.

Ask one meaningful question.

Solve one real problem.

Then tomorrow, solve another.

Curiosity is my superpower.

Maybe it can become yours, too.

Because learning AI isn't really about artificial intelligence.

It's about developing the confidence to explore the unknown.

And if someone tells you it can't be done...

Smile.

Then prove them wrong!

Originally published on LinkedIn. Comments and the conversation live there.