Evolution of work in the AI era.

Evolution of work in the AI era.

So, almost all entry-level jobs-
are now basically mid-level job.

AI took the parts we used to hand freshers-
the first draft,
the cleanup,
the boilerplate.

So the roles that are left expect judgment-
that take years to earn.
On day one.... (nobody told the syllabus)

According to PwC's 2026 AI Jobs Barometer:
AI-exposed junior roles are about 7x more likely to demand skills we used to call senior...

So,

// If you are hiring freshers-

stop reading the CGPA first...
Give them ninety minutes of the ACTUAL work,
and watch how they think.

//If you want to be hired-

assume the easy version of your role is already automated.
Learn the decision that sits above it.

Somewhere in the last two years,
the market stopped taking claims on trust.
It wants proof.

So if AI took every junior task tomorrow-
how would the world run? start planning from today!

u/Udayvamsidharvv — 1 day ago

AI has made building easier, but there is a difference between building and construction!

So, it turns out...
Maintaining a product for a year is now HARDER than it was in 2022.

Yeah, so my team was pulling some data,
and we found that AI makes silent mistakes (very dangerous)

Basically it would hide or mask its own mistake
so it feels like human error at the time of execution (is this not illegal?)

A Veracode study - that shows models writing compliable code, found
more than 95% of the time AI security pass rate is stuck at 55% since 2023.

But someone, people are building billion dollar apps,
and posting them on the internet...

Here is probably what is happening-

The demo floor got solved.
The audit floor gets completed with years of technical debt accumulated.

and boom, you are funded...

If you want some technical information,
The fourth level will surprise you...

GitClear read 211 million changed lines and found
refactoring down about 70% from 2022.

In simple terms,
its a decline in software health due to the rise of AI coding assistants.

Getting through a demo is easier than it has ever been.
Getting through a year of change requests is HARDER than it was in 2022.

To build something big, you need to also go deep!

Which level does your codebase actually clear?
(Mine cleared the third only this year)

u/Udayvamsidharvv — 7 days ago
▲ 14 r/aipromptprogramming+1 crossposts

Is planning (directing) now, a more valuable resource than execution?

So how did we get here?
84% of the AI agent market...
OpenAI, Google and Anthropic.

Simplest answer?
I think it's lock-in.

Switch agents now and you lose—
your history,
your context,
your wiring.

So you don't switch.
You go deeper.

//
84 in 100 agent users sit with these three tools.
Under 5% of shopping traffic runs through agents today.

By 2030, that number could reach 25%.
That is the number that actually matters.
//

My own map, honestly...
My entire stack runs on Claude.

I made the decision once.
Since then, it's been the default.

That is what I keep thinking about.
AI is making execution dramatically cheaper.
But directing has not become any easier.

So here is my question:
Is planning (directing) now, a more valuable resource than execution?

u/Udayvamsidharvv — 7 days ago
▲ 1 r/aipromptprogramming+1 crossposts

Will data become the next currency in the AI era?

In the world of AI, data is the new currency.

Better data,
better context,
better performance,
better AI results.

To be able to generate reliable autonomous results,
we must tell AI what reliable means.

I believe data engineers will be the coming generations GOLD MINES.
Thoughts?

u/Udayvamsidharvv — 8 days ago
▲ 1 r/u_Udayvamsidharvv+1 crossposts

This might be true even without AI - but AI has made it popular!

AI is great when you do not have to worry about-
Hallucinated content
Architectural design
Skill atrophy
Security exposure
Technical debt
....

Yes, the landing page looks stunning, and
the demo of the product is smooth.

Why? because you do not have to worry about-
Database
Traffic limits
Integration risks
Environment mismatch
Data race issues
....

These just scratch the surface of the requirements-
of a real deployment.

My point is, AI knows almost everything and-
THAT is a problem.

It knows so much, that it can not possibly address ALL of it-
OR WORSE
it tries to address all of it and more... (hallucination)

Even humans do the same-
we know what we actually do,
we forget what we ONLY read...

I am not against AI.
I feel like there needs to be a correct synergy between-
human intelligence AND AI intelligence...

That is exactly what my team does...
we build and ship software products with AI-
but NEVER do we let it run autonomously.

ALWAYS have an expert monitor the AI execution,
not the final result-
because sometimes it might be too late or too costly.

u/Udayvamsidharvv — 3 days ago