The people quietly winning in an AI world
How “lazy problem-solvers” are using AI to build leverage — and how Bitvocation started the same way
We recently listened to this insightful interview with Amjad Masad, founder and CEO of Replit.
One takeaway stood out immediately:
The biggest winners aren’t the most credentialed specialists.
They’re generalists with agency.
If you’re working in Bitcoin — or trying to — that should sound familiar.
Because Bitcoin has always rewarded the same trait.
Who Will Win in an AI World
According to Amjad Masad, the winners aren’t the “smartest” people on paper.
They’re generalists with agency.
People who
see gaps
notice friction
feel quietly annoyed by inefficient processes
…and then do something about them.
Amjad calls this being “lazy” — in the best possible way:
people who don’t want to do repetitive, dumb work,
so they build systems that remove it.
That’s exactly how Bitvocation started
(though I’d personally call it efficiency, not laziness :).
I didn’t think:
“I should build a career platform.”
I thought:
“Why is it so insanely cumbersome to search dozens of job boards for Bitcoin-specific jobs? Why don’t these just land on my phone?”
That’s how our Bitcoin Job feed on Telegram was born.
No grand master plan.
No polished strategy deck.
Just a generalist seeing a gap — and closing it.
Why Generalists Will Beat Specialists
One of the spiciest opinions from the interview:
Traditional engineers often make the worst AI “vibe coders”.
Why?
Because they have too much to unlearn.
They micromanage the AI.
They fight the tool instead of collaborating with it.
We’ve seen this pattern before.
Economists were late to Bitcoin.
Finance professionals resisted it the longest.
Heavy institutional training can make letting go harder.
Meanwhile, people who ask,
“Could this be easier?”
quietly overtake them.
Who Will Struggle
This part is uncomfortable — but important.
The people most at risk are:
narrow specialists
people doing repetitive knowledge work
people who define their worth by how hard something is to do manually
If your daily work feels like:
moving data between tools
writing the same reports
manually researching things AI can summarize in seconds
You’re already competing with a machine.
And the machine doesn’t get tired.
The Internal Ego Battle (This Is the Quiet One)
For some people, the challenge won’t be technical.
It will be emotional.
Especially for
highly intellectual professionals,
creatives,
writers,
coders —
anyone who fears “losing their edge”.
That fear is human.
And valid.
But embracing AI doesn’t have to mean giving up your intelligence
or outsourcing your creativity.
What if it did the opposite?
What if removing repetitive busywork —
the stuff that quietly clogs your mental bandwidth —
gave you more space for intuition, clarity, and your best thinking?
What if you didn’t lose sovereignty by using better tools —
but gained leverage?
The Real Divide: Agency vs Comfort
People with agency and AI mastery will thrive.
People defending old ways of working will fall behind.
AI rewards people who:
experiment without being told
learn in public
adapt fast
Bitcoin employers told us the same thing in our 2025 Annual Survey.
Bitcoin has always selected for agency.
AI just accelerates that filter.
If you take only one thing from this:
don’t wait until AI feels comfortable. Start while it still feels awkward.
What To Do Now (Practical, Not Theoretical)
1. Train your attention
Notice one repetitive or annoying task you do regularly — in work or life — and try to eliminate it with AI.
Explore vibe-coding apps like Replit, Lovable, Manus, or similar.
You don’t need to pick “the best one”.
You just need to start.
2. Build a tiny thing
Don’t binge AI content.
Open an app.
Type a prompt.
See what happens.
Refine.
Build:
a tiny tool
a dashboard
a workflow
a bot
a helper script
Useless is fine.
Finished beats perfect.
When Manus first came out, I built the world’s most minimalist hashtag-based to-do list.
It didn’t work.
It typed words backwards.
It was useless. But that wasn’t the point.
The point was to get started. To demonstrate — to myself — what might be possible if I kept going.
3. Think like a generalist founder
Ask yourself daily:
What feels broken?
What’s unnecessarily manual?
What workaround do people accept — but secretly hate?
That’s where opportunities live now.
And very often,
that’s where your future job is hiding.
The Bitvocation Angle
Here’s the upside.
Bitcoiners are unusually well positioned for this shift.
You already:
question systems
value sovereignty
build outside institutions
learn in public and document proof of work
adapt faster than most
AI is not the enemy of Bitcoin careers.
It’s a multiplier — if you use it.
Remember: you can just build things.
PS:
If you’ve been building AI agents, tools, or automation flows in your spare time and you’re looking for a real-world use case to turn it into visible proof of work for your CV — check out our BTX programme.
Watch the full interview with Amjad here (highly recommended):