Image by Gerd Altmann from Pixabay
Are we real? Or are we living in an illusion of progress, a simulation crafted by unknown hands? Human civilisation has always prided itself on evolution—advancing from fire to machines, from industry to digital networks. But what if this progress is merely a carefully orchestrated trap?
With the rise of artificial intelligence, reality itself is being rewritten. The world is no longer just what we see, but what algorithms dictate. AI and its powerful corporate backers have blurred the lines between what is human-made and what is machine-generated. Every artwork, every voice, every creative thought—replicated, manipulated, and reshaped into something that no longer belongs to us. Have we built tools that serve us, or have we become prisoners in a virtual reality designed by those who wish to control us?
And if we are already trapped, do we even realise it? Or are we too distracted by the shiny illusions to see the cage?
In a world where art is the soul of human expression, artificial intelligence has become the silent thief, rewriting the very fabric of creativity. OpenAI and similar entities have built their pre-trained models by scraping the internet—often without consent—consuming the hard work of designers and illustrators to craft an algorithmic brain that can replicate their styles with a single click. And as these models evolve, so does the terrifying reality: designers and artists are being replaced, their labour reduced to a data point. Sorry to the designers—your art is now the property of a machine.
Some underrated artists have discovered their masterpieces re-generated by AI, exhibited in galleries, and even nominated for prestigious awards—without their consent, without their recognition. The very work they poured their hearts into is now being celebrated under an algorithm’s name. What justice exists in a world where the artist is erased and the machine is glorified?
Why do AI-generated Ghibli-style images go viral? Nostalgia, familiarity, and the illusion of craftsmanship. The soft brush strokes, the dreamlike atmospheres—these evoke emotions tied to the legendary Studio Ghibli. But beneath the charm lies a darker truth. AI models are trained on these aesthetics, using data without ethical considerations. The result? A synthetic imitation, where the original artists receive neither recognition nor compensation.
But the bigger question is: if an AI can paint emotions, does it understand them? If an AI can replicate sadness, does it truly feel it?
More dangerously, the rise of image-to-image AI engines means that your input images—your sketches, your concepts, even your private works—can be stored, reused, and resold. Have you uploaded an image to an AI tool? Congratulations, it might already be in a marketing database, sold to an advertising agency, or used to further train models that will one day take over your job. The worst part? You wouldn’t even know.
Who controls this data? And who benefits from it?
India stands at the crossroads of AI consumption and ethical dilemmas. As one of the largest consumers of entertainment, the country is also a testing ground for AI-driven media. Millions engage with AI-generated art, unknowingly feeding the industry that exploits human creativity. Meanwhile, a massive portion of India’s population, still unfamiliar with AI’s deeper mechanics, gets fooled by the latent charm of synthetic artistry. They share, they promote, and they unknowingly contribute to an industry that systematically devalues human artists.
But at what cost? If a country of over a billion people can be influenced by machine-generated content, what stops AI from shaping their opinions, choices, and emotions? Are we witnessing the silent colonisation of our minds?
This is not just a digital problem—it seeps into the real world. The same technology that romanticises pain and tragedy for online engagement is also making real-life tragedies invisible.
Take, for example, the recent, nearly silent tragedy in Hyderabad. Over 400 acres of old trees were cut down, displacing countless animals. Fear, destruction, and devastation swept through the land—but where was the outcry? Instead, AI-generated landscapes, synthetic sorrow, and aestheticised grief flooded social media. AI can mimic sadness, but it cannot mourn. The internet weeps for illusions while reality is stripped bare.
Are we so obsessed with beautifully packaged pain that we ignore the suffering in front of us? If AI can make destruction look poetic, will we ever care about real consequences?
The recent Myanmar earthquake was another instance of AI-generated imagery twisting tragedy into an online spectacle. As real communities suffered, AI-created visuals of a beautifully broken world flooded social media—earthquakes framed like movie posters, suffering turned into aesthetic narratives. The disaster was reduced to a viral trend, detached from the real pain of those affected.
If AI can turn suffering into a marketable visual, does it rob humanity of its empathy? Are we conditioning ourselves to consume tragedy like entertainment?
Professional artists are now fighting to reclaim their credibility. Some use AI to trace and challenge plagiarised works, exposing theft through metadata analysis. Others actively reverse-engineer AI-generated outputs to identify stolen elements. But the battle is asymmetric. The trend itself is a force too powerful—suing humans for their own ignorance. The artists cry out, but the trend moves on, feeding on the next viral aesthetic.
So, what can artists do? Should they adapt and use AI themselves, or should they resist? If they integrate AI into their work, are they still artists, or are they just curators of a machine’s output?
Some argue that AI-generated works should be considered a new genre—AI art. But is that even possible? Art has never been about perfection. AI, however, is engineered to create flawless visuals. Can a machine-crafted imitation truly be called art?
Stopping AI isn’t the answer—it’s too late for that. But controlling its use is still possible. Here’s what we must ask ourselves:
The truth is, we are already past the tipping point. AI will continue to evolve.
The question is: Will we let it control us, or will we take control of how it shapes our world?