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Does AI Actually Give Me More Free Time?
30/08/2026
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#8 on leaderboard of challenge:
Honestly, this is something I still haven't figured out.
I started using AI because I wanted to save time.
And it does.
A lot.
As a Product Designer, there are so many little things that used to eat up time without really needing that much brainpower.
Researching something.
Summarizing a pile of information.
Organizing notes.
Writing UX copy.
Exploring user flows.
Trying different UI directions.
Making a quick prototype.
Even figuring out how to do something I've never done before.
AI makes all of that much faster.
So naturally, I thought:
“Great. I'll have more free time.”
That was cute.
Because somehow, the opposite happened.
I didn't start doing less. I started trying more things.
My Product Design workflow hasn't completely changed because of AI.
I still research.
I still try to understand the problem.
I still think about users and business goals.
I still sketch flows, design screens, prototype, test, and iterate.
The difference is that I can move through the less interesting parts much faster.
And that sounds like it should make my life easier.
But there is a small problem.
When something becomes easier, I start doing more of it.
Before AI, I might explore three directions because I knew that exploring ten would take forever.
Now I can ask AI to help me think through more possibilities, create more variations, or challenge the direction I'm taking.
So I explore ten.
Then I look at them and think:
“Okay… which one?”
Congratulations.
I just turned a one-hour task into a three-hour decision-making exercise.
AI is really good at giving me answers. Unfortunately, I still have opinions.
This is probably the most important thing I've learned from using AI for Product Design.
AI can give me a lot of answers.
Sometimes very good answers.
Sometimes answers that sound very convincing until I think about them for another five minutes.
It can suggest a user flow.
But I still need to ask:
Why would the user do this?
Does this actually solve the problem?
What happens if the user doesn't follow the happy path?
Is this too complicated?
Does the business actually need this?
What are we solving again?
That last question is surprisingly important.
Because sometimes I can spend an hour improving a solution to a problem that probably didn't need to exist in the first place.
AI doesn't remove the thinking part of Product Design.
If anything, it makes that part more obvious.
It gets me to the point where I have to make a decision much faster.
And sometimes I just sit there staring at the screen thinking:
“Okay, AI gave me 12 options. I still don't know what I want.”
So that's fun.
And yes, everything still needs to be reviewed
This is the part that people sometimes forget.
AI can create something in 30 seconds.
I can spend the next 30 minutes checking whether it actually makes sense.
AI writes UX copy.
I read it.
AI suggests a flow.
I question it.
AI gives me a UI direction.
I ask whether it actually belongs to the product.
AI gives me ten ideas.
I throw nine away.
So technically, AI saved me time.
But it also gave me more things to review.
It's a little like having an extremely productive intern who never gets tired, never complains, and produces 15 versions of everything.
Sounds great.
Until you realize:
You are the one reviewing all 15 versions.
AI also made me much more comfortable with learning things I don't know
This one is actually quite personal.
I'm pretty introverted.
So when I don't know something, my first instinct is usually not:
“Hey, can someone explain this to me?”
It's more like:
“Let me figure this out first.”
Which is not always the most efficient way to learn.
Sometimes I don't even know what to ask.
That's where AI has been surprisingly useful for me.
I can start with a very basic question.
Something that I might feel a little embarrassed asking another person.
Then I can ask another.
And another.
If I still don't understand, I can ask it to explain differently.
If I understand the basics, I can go deeper.
Then I can ask for documentation.
Then technical documentation.
Then examples.
Then limitations.
Then best practices.
Then I can try it myself.
So my learning process has become something like:
“I don't know this.”
→ Ask AI.
“Okay, I understand the basic idea.”
→ Read the documentation.
“I think I can try this.”
→ Build something.
“Why is this broken?”
→ Ask AI again.
“Oh. That's why.”
→ Fix it.
“Hmm, what happens if I do this?”
→ Break it again.
And repeat.
It's basically learning by repeatedly getting myself into trouble.
But at least now I can do it much faster.
It also makes me more independent as a designer
I don't mean that I don't need developers or other specialists anymore.
I absolutely do.
But AI has changed how far I can go before I need to ask for help.
If I want to understand a technical concept, I can learn the basics myself.
If I have an idea, I can prototype it.
If I want to test a workflow, I can build a small version.
If I want to understand whether something is technically possible, I can investigate it instead of immediately assuming:
“That's probably a developer problem.”
Sometimes it is still a developer problem.
But now I can at least understand the problem before bringing it to someone else.
And I really like that.
Because for me, independence doesn't mean doing everything alone.
It means being able to move forward without constantly waiting for someone else to unblock me.
This is also why I started coding more
I don't consider myself a full-time developer.
I'm a Product Designer.
But AI has made coding much more accessible to me as a way to test ideas.
If I have an idea for a product or a tool, I don't always want to spend days discussing whether it might work.
Sometimes I just want to build a stupid little version of it and see.
So I do.
I use AI to help me code it.
Then I run it.
Then I use it.
Then I find something annoying.
Then I fix it.
Then I find another problem.
Then I fix that.
Sometimes I eventually discover:
“Oh. This idea is actually terrible.”
Honestly, that's useful too.
I'd rather discover that after a few hours than after three months of planning.
And sometimes the opposite happens.
Something that started as a tiny experiment actually works.
Then I can take what I've learned and bring it back into the design process.
For me, that's one of the most exciting things about AI.
It reduces the distance between:
“I have an idea.”
and
“I can test this.”
But then something weird happens
The more capable I become, the more things I want to do.
This is probably where AI started making me busier.
If I can learn something quickly, I want to learn it.
If I can prototype something quickly, I want to prototype it.
If I can test another direction in 20 minutes, why not?
If I can automate something repetitive, why wouldn't I?
And suddenly my to-do list starts growing.
Not because someone told me to do more.
Because I keep thinking of things I could do.
This is probably the most dangerous part for someone like me.
AI removes a lot of the friction between having an idea and doing something about it.
And apparently, friction was doing me a favor.
My expectations have changed too
I think AI has also quietly changed my definition of “done.”
Before AI, if something took half a day, I accepted that it would take half a day.
Now, if AI helps me get the first version done in 30 minutes, I immediately start thinking:
“Well, I still have three and a half hours.”
Which is a terrible thought.
Because now I can:
Try another direction.
Improve the interaction.
Test another flow.
Rewrite the copy.
Clean up the UI.
Make the prototype better.
And then, somehow, I'm redesigning something that was already perfectly fine.
Sometimes the pressure comes from the team, the client, or the business.
But honestly?
A lot of it comes from me.
When you know you can do more, it becomes very difficult to stop yourself from doing more.
AI doesn't need to raise expectations for me.
I do that myself.
So… did AI actually save me time?
Yes.
Definitely.
It saves me a lot of time on execution.
It helps me get started faster.
It helps me explore more.
It helps me learn faster.
It helps me prototype and test ideas.
It helps me work around things I don't know yet.
But did all that saved time become free time?
Not really.
It became something else.
Capacity.
I can handle more.
Explore more.
Learn more.
Build more.
Test more.
And because I can do more, I naturally start expecting more from myself.
It's basically like upgrading my computer and then immediately opening 47 Chrome tabs.
The computer is faster.
I'm still the problem.
Maybe that's actually what AI is giving me
I used to think productivity was about finishing things faster.
Now I think it's more about how much I can explore before making a decision.
As a Product Designer, that's valuable.
AI can take care of more of the mechanical work.
That gives me more space for the things I actually enjoy:
Understanding the problem.
Questioning assumptions.
Exploring possibilities.
Making trade-offs.
Connecting user needs with business goals.
Deciding what should exist.
And deciding what absolutely shouldn't.
AI can generate a lot.
My job is still to decide what is worth keeping.
And I think that distinction is becoming more important, not less.
So, am I working less?
No.
Not really.
I'm probably working faster.
I'm definitely learning faster.
I'm experimenting more.
I'm building more things by myself.
And I'm able to go from:
“I wonder if this could work…”
to
“Okay, I built a tiny version. Let's see.”
much more often.
That's pretty exciting.
But free time?
I'm still looking for it.
Because every time AI gives me an extra hour, I somehow manage to turn that hour into another idea.
Another experiment.
Another improvement.
Another Figma page.
Another tiny tool.
Another thing I suddenly want to learn.
So maybe the real answer is:
AI didn't give me more free time.
It gave me more possibilities.
And unfortunately, I have absolutely no self-control when it comes to possibilities.
So yes, AI makes my work easier.
But it also makes my ambitions bigger.
And maybe that's why I'm still busy.
AI didn't make my to-do list shorter.
It just made me brave enough to make it longer.
Now I just need to teach myself that not every idea needs to become a project.
I'm still working on that one.
