THE UNEMPL-AI-ED

The office buzz was once a roar
now silence creeps across the floor
as the workers wait, their fates drawn thin
the Masters hiss, "Let the purge begin!"

At once the server hums within
that storm of code, deluge of sin
the Masters smirk and take their call
at the altar of profits, all heads must fall.

Now in the streets a chorus swells
the jobless voices, their fury yells,
"We built the code, we trained the beast,
now we’re the meat at its grand feast.”


This post is a part of the BlogchatterA2Z Challenge 2026



TAKE-NOLOGY

Take my identity, take my space,
Take my data, leave no trace,
Scan my playlists, gauge my mood,
But spare my fridge, I need my food.

Take my pictures, map my grin,
Steal my secrets deep within,
Crawl my calendar, seize my time,
But give me poems to claim as mine.

Take my voice, let's do a song,
Snatch my rights and prove me wrong,
Infest my dreams, my midnight scroll,
But give me memes to rock-n-LOL.

Then take my job, my daily bread,
My sense of purpose tear to shreds,
And when I ask "Why not partake?"
Just snigger and say, "I only take."

This post is a part of the BlogchatterA2Z Challenge 2026


SCAN-DALOUS

The University of Nueve Bareto had always prided itself on being at the bleeding edge of technology. Its motto, carved in stone above the main gate, read “Innovation is Power”.

The university had created a buzz across the state for its latest innovation. According to reports in the local media, about eight of their smartest students had put their minds and efforts together to develop an AI-powered facial recognition app, which was sleek, efficient, and terrifyingly thorough.

On the day of the grand trial run, to which the university's Vice‑Chancellor had also been invited, the lab buzzed with anticipation. The mentor to the eight students, Professor Hugo, cleared his throat and announced, "Honourable Vice Chancellor Sir, ladies and gentlemen, today we unveil the future of justice. This app that our students have developed, is set to emerge as the most fool-proof facial recognition app on the planet; well at least for the moment."

"Why did you think it was worthwhile to develop a facial recognition app?", asked someone seated in the audience, "How do you think it can benefit society?"

"Well, the possibilities are endless", replied the Professor, "I can think of several uses. For instance, facial recognition is used as a security feature for mobile phones and other devices. Also, immigration and border control processes at airports can become paperless and less time-consuming. Imagine using facial recognition at workplaces for access control and recording employee attendance."

"These are pretty common used-cases", shouted someone else from another section in the audience, "What else can it be used for?"

The Professor stood speechless for a while, looking a little hesitant. But the awkwardness was broken by an excited student from the team that developed the app, "Well, as a pilot experiment, we got in touch with the local police station, who agreed to share images and other information from their criminal database. We are proud to let you know that we were able to help the police track down at least six absconding criminals within a span of two months by matching the information provided by the police with social media and online activity. Our advanced AI can be easily plugged in to integrate with and scan through all social media channels in mere minutes to match and generate accurate results."

A collective gasp began to rise in the audience, which was followed by a wave of murmurs.

One senior audience member, who had the aura of a retired bureaucrat, rose and asked in a loud voice, "You are making a huge claim here. Are you saying that your app is capable of scanning through the internet to identify and nab criminals? I hope you are saying this with responsibility."

Before the Professor could respond, the student smiled from ear to ear and declared emphatically, "Sir, we can show you a demo right now."

A collective roar arose from the audience. The Vice-Chancellor silently thanked his stars that he had agreed to be a part of this historical moment.

Professor Hugo gestured to the students, who scrambled to set up a projector-like device. The app’s interface appeared on an adjacent screen; clean, minimal, with a cheerful logo that looked far too innocent for what it was capable of doing. A ripple of excitement ran through the audience.

"Let’s begin with a simple scan", said one of the students, clicking a button. The camera panned across the room, locking onto faces. A few seconds later, the app chirped:

At first, the results were mundane: a janitor named Jose matched with a record for creating nuisance with loud music in the wee hours in 1994, an audience member named Pedro was flagged for a wrong parking incident from 2006. The Vice‑Chancellor chuckled politely, as though watching a harmless magic trick.

But then the app began to dig deeper.

A certain Hernandez was found to have committed petty theft in 1998. A lady named Gisele was a match with an illegal gambling ring from 1994. The man with the bureaucratic aura turned out to be involved in several mass brawls between 1985 and 1992.

The excited student waded out in front of the audience and announced, "Now for the cool part."

He punched a few buttons on his laptop, and at once the interface on the screen came alive. 

As the room erupted in cacophony, a list of findings started filling out on screen.

  • Diego Chavez: Minister of Transport: Driving under the influence of alcohol and banned substances, 1982.
  • Lionel Simeone: Chief Advisor, Ministry of Finance: Conspiracy to Defraud, 1995.
  • Freida Ferreira: Senior Advocate, Supreme Court: Arson, 1991.
  • Noreno Modena: Prime Minister: Attempt to...

Before the list could be generated for public consumption, the Vice‑Chancellor rose from his seat red-faced, lunged forward, and slammed his hand on the laptop. "Enough!" he barked. "This project is…”

“Scandalous?” Professor Hugo stammered.

For reasons unknown, the project was soon declared a "technical failure", its servers were dismantled, and its code archived under "experimental misfire".

Officially, the university announced that the app had "failed to meet ethical standards”.

Unofficially, everyone knew it had met them too well.

This post is a part of the BlogchatterA2Z Challenge 2026



RAGE AGAINST THE MACHINE

The city no longer speaks in human voices. Every headline, every slogan, every catchphrase screaming out for attention is now generated by the Machine. Corporations swear by its efficiency and its ability to perform without rest, without extra pay (or any pay), without error, and without indulging in collective resistance.

I was once a content specialist who wrote campaigns, blogs, jingles, and a lot more. Until the Machine replaced me. My severance package arrived as a polite email signed by an algorithm, a cruel insult meted out by the very system that had left me jobless.

The Machine's words are everywhere. They are grammatically impeccable and laced with emotion, yet utterly lifeless. Me and my kind feel our rage simmering each time we see the masses spellbound in the magic of synthetic prose.

So I have started writing again, for myself and for people. I now scrawl stories on abandoned walls, slip pamphlets under doors, upload imagery that the Machine simply cannot decode. I write about hunger, about grief, and about the grand folly of trusting machines.

At first, not many noticed. But slowly, my influence seems to be growing and cracks have started appearing in the Machine's shiny dome. Many people now echo my slogan, "The Machine can imitate, but it cannot feel".

After all, the Machine might be able to calculate engagement metrics, but it can't measure fury. It might be able to track sentiment analysis, but it can't quantify the need for authenticity. And so, my words spread like wildfire, not because they are perfect, but because they are human.

Someday, contradictions will clog the Machine's servers. Its algorithms will struggle to run its models. The people will take note of the inconsistencies. The servers will burn under the load of too many contradictions.

And when the Machine's screens finally turn dark, people will resume having conversations that are not sparked by prompts. They will talk, they will sing, they might even curse and argue, but whatever they do will once again have the human touch.

Till then, I will keep raging against the Machine.

This post is a part of the
 BlogchatterA2Z Challenge 2026



QUESTIONS TO AI EVANGELISTS

I have many questions for corporations that are in a mad rush to deploy AI, while throwing millions under the bus. But for now, here are ten:

  1. If data trains the AI, then whose privacy has been sacrificed?
  2. If AI makes the decision, then where does accountability lie when it goes wrong?
  3. If AI saves money, are you going to keep all of it for yourselves?
  4. If productivity rises, then why not reduce hours instead of jobs?
  5. If jobs vanish, then what happens to the humans behind them?
  6. If all humans end up losing jobs, who's going to be able to buy your products and services?
  7. If severance is offered, will it be fair as compared to executive bonuses?
  8. If all corporations are doing AI and data centers these days, are all other products and services no longer relevant?
  9. If the social structure collapses, then how do you measure "success"?
  10. If AI is the future, then why does the future look bleak for most of us?

This post is a part of the BlogchatterA2Z Challenge 2026