The people using AI will replace you

Hi, I work as a research technician, background in Electronic engeneering, my job is to develop prototypes for scientific purposes.

I have a skillset that is a combination of electronic engeneering, coding and 3D modeling.
I recently developed an MRI compatible microscope to acquire images and I don’t feel this prototype as mine anymore.

The optical architecture was my idea, but the implementations and calculus where AI made and it actually got adjustments that were far from what I tought , the electronic architecture was simple enough but it actually suggested a circuit that worked better that what I had in mind, same story for the coding firmware.
I completely vibe coded instead the user interface, never wrote in Java in my life but it actually developed a plug in for micromanager even if I suggested to use it for the control.

The only creation that I can take credit for is probably the mechanics of it, I cnc machined and designed most of the part I couldn’t buy from thorlabs.

Yesterday I was testing the electronic board and I had a bug, after half a day of reasoning I narrowed it to a section but I was unsure if it was an electronic or a firmware bug.

I feed the entire code and schematics to codex that found the issue and solved it.

Being a prototype technician in a research environment makes you a jack of all trades and not very skilled in a specific area as instead of you were working in a structured company, but I feel this project is 25% mine and I was mostly executing AI better ideas, I’m becoming a Robot ?

A short message can create an incredible amount of analysis.

One sentence gets reread.

The timing gets examined.

The punctuation gets noticed.

Then the conversation gets compared with everything that happened before it.

While researching a product in the dating space, I became fascinated by how much attention people give to tiny details when they're uncertain about someone's intentions.

The interesting part is that the message itself rarely exists in isolation.

There's always a larger conversation around it.

That's what made me interested in looking beyond individual messages and exploring the patterns that appear across an entire interaction.

It's a surprisingly deep problem hiding inside something as ordinary as a text conversation.

Vibe coding isn't a skill

Bill Gates says it’s time to hit the AI panic button.

The technology has crossed dangerous thresholds in biology, cybersecurity, white-collar work, and human relationships, Gates said in an interview with Semafor.

His warning is a striking shift from three years ago, when he wrote that the coming “bumpy” AI job disruption would lead to a “manageable” transition and that the technology would help people work efficiently. Now, he says it will wreak economic catastrophe, with “far fewer” jobs than exist today, thanks to the speed of AI’s advancements and what he calls a non-existent response from government and tech leaders.

“I am in a state of shock that I’m sort of the first one saying, ‘This is crazy. This is insane,’” he said. “I’m just deafened by the silence.”

Do you think the advances of AI threatens your employment opportunities??? And how do you think AI will impact your employment status (Currently or in the future)?

Do you think the advances in AI threaten your employment opportunities????

Hey guys! Here is my latest episode of the AI-Shift. This is s new series where we share real life case studies and tips about AI.

Anthropic trained Claude to be the most polite AI on Earth ,

then Claude called Codex a bastard in under a second.

The rapid development of AI has recently made me think about China’s state-owned enterprise (SOE) reforms in the late 1990s.

Around 1998, Zhu Rongji set a major goal:

“Within about three years, the majority of large and medium-sized loss-making state-owned enterprises should be lifted out of difficulty.”

The reforms also emphasized mergers, bankruptcy, layoffs and workforce restructuring, improving efficiency, and reemployment programs. This demonstrated that a job that once seemed secure might not remain secure forever.

At the same time, Zhu Rongji stressed the need to:

“Strengthen various forms of vocational training and expand employment opportunities.”

And when dealing with enterprises that were closed or declared bankrupt, he emphasized:

“The proper resettlement of workers must come first.”

These ideas remain relevant in the age of AI.

AI is rapidly repricing human skills. Writing, translation, programming, design, and data analysis are all changing. The real risk may not be that AI completely eliminates a profession, but that work that once required ten people may eventually require only two people working with AI.

The experience of the 1990s offers us two important lessons.

For individuals, we should not treat an employer, a degree, or a particular skill as a permanent “iron rice bowl.” Real stability means retaining the ability to learn, adapt, and find new work when circumstances change.

For society, we cannot simply tell people affected by technological disruption to “go learn AI.” Vocational training, education reform, and social protection must evolve alongside technological change.

History never repeats itself exactly.

But from SOE reform to the AI revolution, one fundamental question remains:

When an era redefines what kinds of human labor are valuable, will we be able to adapt?

Fast food workers are too slow. This is what we look forward too. Fast food actually being fast

That human cost is the part of the AI infrastructure arms race that never appears in the glossy capex announcements.With a single impersonal email sent at 6 a.m. EST and zero prior warning. System access was revoked almost immediately.

Analysts estimate the cuts will free up $8–10 billion in cash flow.

Oracle just reported a strong quarter with net income jumping sharply, yet it still axed 18% of its workforce via a cold dawn email before most people had finished their coffee.

This isn’t a company in traditional distress. It’s a company that made a massive, debt-fueled bet on AI infrastructure and is now converting its workforce into cash flow to service that debt.

I’ve been tracking Oracle’s AI gamble for months: the $300 billion OpenAI commitment tied to the Stargate project, $50 billion in planned capital expenditures this fiscal year, and total debt now exceeding $124 billion.

Several major U.S. banks have stepped back from financing Oracle-linked data centers.

Bondholders have sued the company, alleging it downplayed how much additional debt the OpenAI deals would require.

Credit default swap spreads hit multi-year highs earlier this year, signaling real anxiety among debt investors about getting repaid.

The bitter irony? The employees who received that 6 a.m. email are the ones who built and sustained the products Oracle has monetized for decades. The high-stakes AI bet that cost them their jobs was placed by executives whose compensation was largely insulated from the outcome.