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Ryo Suwito
Ryo Suwito

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The Cope, the Lie, and the No-Hope Post-AI Era

TL;DR

No, AI did not take your job.

It just doubled your workload while quietly kicking Bob off the employment wheel.

Preamble: What the Fuck Are We Even Doing Here?

AI is not some yesteryear tech.

It is not immature.

If you think AI means whatever OpenAI and Anthropic have been churning out since 2023, I am sorry, dude, but this thing started way back when we were still sperm.

Literally decades ago.

The hype came and went. Promises got inflated. Products underdelivered.

Classic tech cycle.

Claude Shannon and countless other researchers poured their days, nights, careers, and probably sanity into trying to make a damn rock think.

And now you discredit all of that by calling it a slop machine.

Clap.

Clap.

Clap.

Today’s AI is arguably as mature as the internet itself, at least if you compare their trajectories fairly.

The progression is beyond insane. Your brain just cannot comprehend the scale of it, so it compresses everything into: “Eh, autocomplete with extra steps.”

That is like saying the Big Bang theory was just some guy daydreaming too hard.

But for the first time in all those decades, something has materially changed.

In 2026, Bob really is being replaced by an unknown entity roaming around a datacenter somewhere.

Not because the entity does Bob’s exact job perfectly.

It does not need to.

It only needs to do enough of Bob’s work, reliably enough, that Alice can now handle what used to require Alice, Bob, and half of Charlie.

The company does not need zero Bobs.

It just needs fewer Bobs.

Cope as hard as you want.

The burn has already happened.

The Lie: Damn, Snake-Oil Sellers Love This One

They told you companies would replace Bob with a digital Bob.

Nah.

That was never the real play.

The quality is okay. Sometimes impressive. Sometimes garbage. Current mid-to-top-tier models can maybe exceed baseline human ability in certain tasks, especially because they do not get tired, wake up pissed off, take sick leave, or spend half the afternoon doomscrolling.

But here is the part AI labs rarely say out loud:

You are probably too broke to afford the version that actually replaces Bob.

Dude, seriously.

The trap is in the pricing.

Technically, the labs trapped themselves too.

It goes something like this:

First, they seduce everyone with subsidized pricing.

Then some CTO storms into a meeting, bangs the desk, and tells the CFO:

“See? Digital Bob only costs us $200 a month. Let’s cut half of those sleazy developers.”

Easy, right?

Not exactly.

In some parts of the world, maybe the math works.

But the catch is globalization.

These companies want to capture the biggest possible total addressable market. That means serving every kind of company, in every country, at wildly different levels of purchasing power.

That disparity becomes brutal when they eventually pump the brakes on flat-rate subsidies.

Let’s do some napkin math.

A current $200 subscription, when abused by a genuinely heavy professional user, might consume more than $1,000 worth of tokens if the same usage were billed directly through an API.

For a well-funded company in the American Midwest, $1,000 a month might still sound cheap.

Globally?

LOL.

In plenty of countries, a junior or mid-level employee sits in roughly the same pricing bucket.

So why spend all day yelling at a machine when you can yell at the real Bob after he deletes the production database on a Friday afternoon?

You pay roughly the same amount, Bob understands office politics, and you can sue him.

Good luck suing an AI lab after its model confidently wipes out your business.

There Is No Hope. Seriously.

If your biggest cope is hoping AI will fade away like NFTs, crypto hype, or RepRap-style desktop manufacturing dreams, then, bro, you have not been following technology for very long.

Those things are niche.

A lot of them are solutions wandering around looking for a problem.

AI is harder to kill because it already solves real problems.

Take the dumbest, smallest use case possible.

This dev.to article needs a stock image.

Your mom’s secret-recipe YouTube video needs a thumbnail.

You search Google Images. You scroll Pinterest. Everything looks almost right, but not quite.

Then, bam.

You open an image generator, type the chaos inside your brain, wait a few seconds, and you are done.

You slap the result onto your content.

Problem.

Solved.

That alone is enough to make this stuff sticky.

AI is going to cling to society like your shirt after a Sunday jogging session.

It is not fading away.

And no, that does not mean all the Bobs eventually get their jobs back.

Nah.

Nada.

This is harsh. It is heartbreaking.

But I am not here to lead a support-group session.

Remember the women working telephone switchboards in the early days of telecom?

At one point, they were among the busiest workers in the system, manually connecting landline calls from one John to another John.

Then they were replaced by a damn box.

Switches. Multiplexers. Automated exchanges.

Their jobs did not become easier.

Their profession became obsolete.

So here is the only question that matters:

Do you want to become one of them in 2026?

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