Before You Ask AI, Pick Up a Pen: Why Handwriting Can Improve Your Business Thinking

Quick summary: AI can help you generate ideas, research possibilities, and move faster. But speed isn't always what a business decision needs first. Spending 10 minutes thinking on paper before asking AI can help you bring your own experience, judgment, and priorities into the decision. Then use AI to challenge and strengthen what you've already begun.

I use AI every day.

It helps me research faster, organize ideas, challenge assumptions, improve my writing, and accomplish things that would have taken me hours just a few years ago.

I don't want to give that up.

But AI has also made something incredibly easy:

We can get an answer before we've had time to form an opinion.

Have a business question? Open a chat box.

What should I sell?

What should I write about?

How should I position this product?

Which business idea should I pursue?

What should I do next?

Within seconds, AI can give you possibilities, frameworks, recommendations, pros and cons, and a neatly organized plan.

That's useful.

But there's a question worth asking before we celebrate how much faster this makes us:

What did you think before you asked AI?

Because sometimes the most valuable thing you can bring to AI isn't a better prompt. It's your own thinking.

And one surprisingly useful way to make room for that thinking may be to close the laptop and pick up a pen.

Handwriting and Typing Aren't the Same Kind of Thinking

There is some interesting research on what happens when we write by hand instead of typing.

In a 2024 study published in Frontiers in Psychology researchers recorded brain activity in 36 university students using 256 EEG sensors while participants either wrote words by hand or typed them.

Handwriting produced more elaborate patterns of brain connectivity than typing. The researchers suggested that the coordinated visual and motor activity involved in forming letters by hand may contribute to connectivity patterns associated with learning and memory.

But that doesn't mean we should turn the research into a catchy claim that handwriting makes you smarter.

The larger body of research is more complicated than that.

A well-known 2014 study found that students taking notes on laptops recorded more information and were more likely to transcribe what they heard, while longhand note-takers performed better on conceptual questions in those experiments. One proposed explanation was that slower handwriting encouraged people to process and summarize information rather than simply record it.

Later research complicated that conclusion.

A preregistered replication involving 142 participants did not find evidence that longhand note-taking improved immediate learning.

And a 2022 systematic review and meta-analysis covering 39 samples from 36 studies found essentially no overall academic-performance advantage for one note-taking method over the other under controlled conditions.

So I'm not suggesting: Pen = smart. Keyboard = bad.

I'm suggesting something much more practical:

Different tools encourage different ways of interacting with information.

And for a business owner trying to make thoughtful decisions in an AI-saturated world, that distinction matters.

The Point Isn't to Handwrite Everything

I would never handwrite a 2,000-word blog post just because handwriting activates the brain differently. That would turn a useful principle into an inefficient rule.

Technology is exceptionally good at helping us produce.

Use it.

Use AI to accelerate research.

Use your computer to write.

Use software to organize information.

Automate repetitive tasks.

Schedule content.

Let technology save you time wherever saving time actually helps.

But producing isn't the only work you're doing in your business.

You also have to decide what deserves to be produced.

You have to recognize which opportunity fits.

Decide which problem is worth solving.

Work through what you actually believe.

Connect something you've learned with something you've experienced.

Remember what customers keep asking you.

Separate an exciting possibility from a useful one.

Decide what matters now—and what can wait.

That is different work.

And sometimes that work benefits from a little friction.

So here's the distinction I've been experimenting with:

Use handwriting to slow down your thinking. Use technology to speed up your producing.

You don't need to choose between analog and digital.

You need to know what kind of work you're doing.

AI Has Made Ideas Cheap. Discernment Is Becoming More Valuable.

For years, one of the challenges of online business was producing enough.

Enough ideas. Enough content. Enough emails. Enough products. Enough marketing.

AI has changed that.

You can generate 50 blog post ideas before you finish your coffee.

You can brainstorm products, outline a course, analyze an audience, draft an email sequence, or sketch an entire marketing campaign in minutes.

That's extraordinary.

But it creates a new problem:

We can now produce possibilities faster than we can evaluate them.

And when possibilities become abundant, generating another possibility becomes less valuable.

Choosing well becomes more valuable.

The scarce resource is increasingly discernment.

Which idea deserves your time?

Which problem actually matters?

Which opportunity fits the business you're trying to build?

Which advice applies to your situation—and which doesn't?

Which option supports the life you're trying to create?

What do you know from experience that someone without your experience would miss?

AI can help you explore all of those questions.

But there is a difference between asking AI to help you examine your thinking and asking AI to provide your thinking before you've done any of your own.

That distinction may become increasingly important.

Your First Answer Doesn't Have to Come From AI

Imagine you're trying to decide what digital product to create.

You could open ChatGPT and type:

Give me 20 digital product ideas for women over 50.

Within seconds, you'd have a polished list. Some of the ideas might be excellent.

But there's another way to begin.

Close the laptop.

Take out a piece of paper.

At the top, write:

What do people repeatedly ask me for help with?

Then keep going.

What have I learned the hard way?

What problem have I already solved?

What could I explain without researching it first?

Where do I see people making the same mistake repeatedly?

What do I understand today that I wish I'd understood five years ago?

What have customers, readers, coworkers, friends, or clients consistently come to me for?

What do I know because I've lived it—not merely because I've read about it?

Now you're doing something different.

You're not asking a model to generate possibilities from patterns in its training.

You're retrieving possibilities from your experience.

That doesn't automatically make your ideas better.

Your assumptions can still be wrong. Your experience can be incomplete. You can overlook opportunities. You can misread the market.

Which is exactly why AI becomes so useful next.

Don't Ask AI to Replace Your Thinking. Ask It to Challenge It.

Once you've spent a few minutes thinking for yourself, bring AI back into the process.

But change its job.

Instead of asking:

What should I create?

Try:

Here's what I'm considering and why. Don't replace my ideas with yours yet. Challenge my reasoning. What assumptions am I making? What evidence would weaken my conclusion? What might I be overlooking? What should I validate before I invest time or money in this?

That's a very different relationship with AI.

AI isn't the authority handing you an answer. It's a tool helping you examine one.

The process becomes:

YOU → THINK → AI → CHALLENGE → REFINE → ACT

instead of:

AI → ANSWER → YOU → EXECUTE

The difference looks small.

It isn't.

In the first process, your experience enters the conversation before AI begins shaping it. Your judgment has something to work against. Your assumptions become visible.

And instead of merely receiving possibilities, you're learning how to evaluate them.

That's a skill worth protecting.

Your Experience Is Part of Your Earned Edge

AI has access to more information than any of us could read in a lifetime.But information isn't the only thing you use to make a good business decision.

You also use context.

AI didn't talk to your first customer.

It didn't build the product that flopped.

It didn't hear the unexpected question someone asked after your workshop.

It didn't spend 20 years becoming good at something you now take for granted.

It doesn't know which parts of your business give you energy and which ones quietly drain it.

It doesn't live with the trade-offs created by the decisions you make.

And it doesn't get to decide what enough looks like for your business.

You do.

Your experience doesn't make you infallible.

It gives you context.

It helps you notice patterns.

It gives you questions worth asking.

It helps you recognize when a theoretically good answer doesn't quite fit the life or business you're actually trying to build.

That is part of your Earned Edge.

The goal isn't to compete with AI at what AI does extraordinarily well.

Use AI for what it does well.

But don't become so impressed by its speed that you stop developing the judgment required to decide what deserves that speed.

Try the 10-Minute Analog Advantage™

You don't need to start journaling for an hour every morning.

You don't need a beautiful notebook.

And you certainly don't need to handwrite your business plan.

Try something much smaller.

The next time you're facing a meaningful business question, give yourself 10 minutes before you ask AI.

Take one sheet of paper.

Write the question at the top.

Then think.

No Google.

No AI.

No notifications.

No research.

For 10 minutes, write down:

• What I already know

• What I think might be true

• What experience tells me

• What concerns me

• What options I can see

• What assumptions I might be making

• What matters most in this decision

• What I currently think I should do—and why

You're not trying to reach the perfect answer.

You're not even committing to your first answer.

You're doing something simpler:

You're making sure your thinking enters the room before everyone else's does.

Then bring the technology back.

Research your assumptions.

Check the numbers.

Look for evidence.

Ask AI to challenge your reasoning.

Ask what you've missed.

Look for evidence that contradicts your conclusion.

Compare alternatives.

Refine your thinking.

Then decide.

That's not anti-AI.

It's a more intentional way to use AI.

The Better Question Isn't "AI or Me?"

We sometimes talk about AI as though we have to choose sides.

Human or machine.

Analog or digital.

Pen or keyboard.

That's probably the wrong question.

The better question is:

What does this moment require from me, and what should I ask technology to do next?

Sometimes you need speed.

Sometimes you need research.

Sometimes you need possibilities.

Sometimes you need execution.

And sometimes you need enough quiet to discover what you already know, what you actually think, and what question you should be asking in the first place.

The advantage doesn't come from refusing AI.

And it doesn't come from automatically using AI first.

It comes from knowing when you need judgment and when you need acceleration.

A Simple Worksheet to Help You Try It

If you'd like to experiment with this, I created a free 10-Minute Business Thinking Sheet.

It walks you through six simple steps:

Question → What I Know → Possibilities → Filter → Ask AI → Decide

That's it.

It's intentionally simple because the goal isn't to give you another complicated business system.

The goal is to create a small space between having a question and outsourcing the answer.

Print a few copies and keep them near your desk.

The next time you're tempted to type "What should I do?" into an AI chat box, reach for one first.

Give yourself 10 minutes.

Then come back to AI.

Only now, you won't be asking it to tell you what to think.

You'll have something much more valuable to give it:

your experience, your assumptions, your questions, and your first attempt at an answer.

Then let AI do what it can do remarkably well.

Challenge you.

Expand your perspective.

Find gaps.

Research possibilities.

And help you think better.

[Get the Free 10-Minute Business Thinking Sheet →]

The Earned Edge Principle

Don't use AI to skip the thinking. Use it to strengthen the thinking you've already done.

Technology can give you speed.

Your experience gives you context.

Discernment helps you know what to do with both.

The advantage comes from knowing which one you need first.