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Jaideep Parashar
Jaideep Parashar

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Everyone Is Busy Using AI. Very Few Are Thinking

The shift from creators to curators

I’ve been using AI for months now.
Not casually, seriously.
And I’ve started noticing something uncomfortable.

The Observation

Everyone is busy.

Building faster.
Posting more.
Shipping constantly.

AI is everywhere:

  • writing content
  • generating code
  • creating strategies
  • solving problems

On the surface, it looks like a productivity revolution.

People are doing more than ever.

But when I look closely…

Very few are actually thinking.

Breaking the Expectation

We assumed AI would make us smarter.

More capable.
More creative.
More strategic.

But that’s not what’s happening.

What’s happening is this:

AI is increasing activity… not necessarily intelligence.

Because when answers are always available, something changes.

We stop:

  • sitting with problems
  • questioning assumptions
  • exploring multiple paths

Why struggle… when AI can respond instantly?

The Insight

Thinking is not natural.

It requires effort.

Friction.

Time.

AI removes all three.

So instead of thinking, most people are now:

  • prompting
  • selecting
  • editing

It feels like intelligence.

But it’s often just efficient consumption of generated output.

This is the shift most people are missing.

We are moving from:

  • thinkers → to operators
  • creators → to curators

And the danger is subtle.

Because everything still looks productive.

The New Divide

There’s a gap forming.

A big one.

Between:

People who use AI to avoid thinking
and
People who use AI to enhance thinking

The first group:

  • moves fast
  • produces volume
  • relies on AI

The second group:

  • slows down when needed
  • questions outputs
  • builds original ideas

Over time, this gap becomes impossible to ignore.

Because thinking compounds.

And dependency does too.

The Reflection

AI is not the problem.

The problem is what we’re outsourcing.

If we outsource execution, we gain leverage.

If we outsource thinking…

We lose direction.

Right now, everyone looks busy.

But in the long run, only a few will be clear.

And clarity, not activity.

Is what creates real advantage.

Top comments (35)

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codingwithjiro profile image
Elmar Chavez

Creating something new and valuable is impossible for AI to do alone. It requires thinking and sadly most people are consumers not creators. Nowadays, social media created a generation of slaves to the dopamine rush. It eats up energy that should be better used for creating something valuable at least for oneself.

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jaideepparashar profile image
Jaideep Parashar

You raise an important point about intent and usage.

AI can generate and combine ideas, but real value comes from human direction, judgment, and purpose. Tools don’t create by themselves, people do.

And yes, attention is a limited resource. Those who choose to create instead of just consume will benefit the most from these tools.

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klaudiagrz profile image
Klaudia Grzondziel

Unfortunately, I see many colleagues giving up on thinking and mindlessly relying on AI to do the job for them. This results in a massive amount of low-quality output generated quickly, without proper thought, and often without even checking.

As a Technical Writer, I see tons of generated docs that no one will ever read, because they are written in a style that makes it hard for a human to comprehend even the first sentence, not to mention the whole concept or tutorial.

And I'm not saying that AI is bad. Many people just over- and misuse it, so here we are, drowning in low-quality output ☹️

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jaideepparashar profile image
Jaideep Parashar

That’s a very real concern, and I agree.

The problem often isn’t AI itself, but the uncritical use of it. Speed without thought just scales noise.

I especially like your documentation example, content that is technically generated but not genuinely useful helps no one. Human judgment and readability still matter enormously.

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pengeszikra profile image
Peter Vivo • Edited

You right! I feel also, lot of us don't spend time to thinking.
This is my concept about the importance of thinking: dev.to/pengeszikra/a-game-for-the-...

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jaideepparashar profile image
Jaideep Parashar

That’s a powerful observation, and you’re absolutely right.

Most people don’t lack intelligence; they lack intentional thinking time. In today’s environment, attention gets fragmented, and without protecting it, deep thinking disappears.

Your concept sounds aligned with something important:
→ Thinking is not automatic anymore; it has to be designed and protected.

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javz profile image
Julien Avezou • Edited

Very true. Do you have any strategies or processes you use to offset the cognitive costs of AI usage?

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jaideepparashar profile image
Jaideep Parashar

Great Point. A few simple habits that can help reduce the cognitive load:

  1. Define “what good looks like” first (before using AI)
  2. Use AI for first drafts, not final decisions
  3. Add a quick verification step (check assumptions, edge cases)
  4. Keep clear workflows so you’re not rethinking every time
  5. Batch similar tasks to avoid constant context switching
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javz profile image
Julien Avezou

Great suggestions, thank you.

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jaideepparashar profile image
Jaideep Parashar

You are welcome.

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yousrasd profile image
Yousra S

Agree, our thinking abilities can decline over time. Our mind is like a muscle, if we dont train it, it gets weaker.

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jaideepparashar profile image
Jaideep Parashar

Absolutely, that’s a powerful analogy.
Thinking really does behave like a muscle: what we exercise strengthens, what we outsource too much can weaken. That’s why using AI should ideally augment thinking, not replace the practice of it.

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itskondrat profile image
Mykola Kondratiuk

I’d push back on this. the thinking isn’t disappearing - it’s shifting layers. less on HOW, more on WHAT to build and whether it matters. different thinking, not less.

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jaideepparashar profile image
Jaideep Parashar

Fair pushback, and I agree, it’s more accurate to say thinking is shifting layers, not disappearing.

The center of gravity moves from how to implement toward what to build, why it matters, and how to evaluate it. That’s a different kind of thinking, arguably a higher-order one.

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itskondrat profile image
Mykola Kondratiuk

yeah - and the evaluation part is the hardest shift. execution is easy to measure. deciding what actually matters takes a lot longer to get feedback on.

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jaideepparashar profile image
Jaideep Parashar

Exactly, that’s the harder layer.

Execution gives immediate signals; evaluation often has delayed feedback, which makes judgment much tougher to develop. And that’s precisely why it becomes a differentiator.

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itskondrat profile image
Mykola Kondratiuk

yeah. and when feedback is slow, most people optimize for what's measurable - which is usually execution, not judgment. it self-reinforces.

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jaideepparashar profile image
Jaideep Parashar

Yes, it's true in maximum cases.

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itskondrat profile image
Mykola Kondratiuk

yeah - by the time judgment feedback arrives it usually shows up as a postmortem, not something you can course-correct from in the moment

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munirfarhan profile image
Farhan Munir

Nice work.
Totally agree.
I believe due to this haste to build everything and launch rapidly - we are creating a IT Security debt that may cause another 'Great Depression' like that of 1929.

No body is paying any attention to it. Other if there are folks who are signaling for a doomsday - their voices are being drowned under the AI Marketing (much like Snake oil marketing) tactics.** **

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jaideepparashar profile image
Jaideep Parashar

You raise an important concern. Speed without security discipline can absolutely create security debt, and that risk is often underestimated in periods of hype.

Innovation and caution have to move together. The answer isn’t slowing progress, but making security and resilience part of the design conversation from the start. Your warning about not letting signal get drowned by marketing is well taken.

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leob profile image
leob • Edited

Yeah fair point :-)

On dev.to though I do see a lot of articles that express caution and thoughtfulness about how to apply AI 'responsibly' - the awareness is there, I would say ...

But I agree that we shouldn't lose our basic skills by ONLY relying on AI to write all of the code or "do all of the thinking" - we should stay in control, and I'd also say we should even maintain a minimum level of "muscle memory" when it comes to writing code 'manually' ...

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jaideepparashar profile image
Jaideep Parashar

That’s a fair observation, and encouraging, honestly.
I agree, there is growing awareness, especially in developer communities, that responsible use matters as much as capability. That kind of caution and thoughtfulness is a healthy sign.

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ashcroftdev profile image
ashcroft

Yeah, because of AI we get a higher price of ram, more data center that have a power source that can power the entire city, more "pure vibe coder", more curator, more operators, more AI generated content, less job because many automation job get replaced by AI. What a year to be alive.

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jaideepparashar profile image
Jaideep Parashar

What a year indeed 😄 and that captures the paradox well.

AI is creating new roles, new pressures, new opportunities, and new disruptions all at once. It’s messy, exciting, and a bit chaotic. Every major technology wave has looked like this early on. The challenge is learning how to adapt, not just react.

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silverwolf77 profile image
Silver Fang

It all depends on how it's used. I use it to help me write stories, but the plots, settings, and characters are my own.

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jaideepparashar profile image
Jaideep Parashar

Exactly, it depends on how it’s used.

Using AI to support expression while keeping the plot, characters, and creative direction your own is a great example of balanced use. The tool can assist, but the storytelling remains yours.

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