How AI Is Rewriting Reality
The following article was published in The Daily Capital Views Newspaper on October 20, 2025. Link: https://epaper.dailycapitalviews.com/nogor-edition/2025-10-20/10
A few years ago, artificial intelligence sounded like a distant dream. We imagined it in movies, robots taking over, machines developing emotions, humans fighting for control. But in real life, it arrived quietly. Not with explosions or fanfare, but hidden inside the apps we use, the cameras we look into, and the tools we depend on every single day. Now, the line between what is real and what is artificial is fading so fast that we might not notice until it is gone.
I work with AI systems every day, developing tools for a UK-based market research firm. My job is to make sense of vast amounts of human language, from conversations and interviews to surveys, and help AI generate insights from them. I have seen how efficient it can be: hours of human analysis reduced to seconds. But I have also seen how it quietly makes people redundant, not because they are less capable, but because the machine does not tire, does not ask for a salary, and rarely makes mistakes. This is not the future; it is already here, reshaping industries in silence.
If we zoom out and look at the global picture, the world’s most powerful nations are betting everything on this technology. The United States, under President Donald Trump, has made re-industrialization a national mission, bringing back factories, ending dependence on imports, and putting “America First.” But there is a contradiction inside that promise. If immigrants are not allowed to work in those factories, who will? The answer is already humming inside Tesla’s assembly lines and Chinese car plants: robots. They do not take breaks, they do not unionize, and they do not ask for rights. They simply work. This logic extends beyond the factory floor. Elon Musk’s “Optimus” robot, designed for home use, shows what is coming next: machines replacing domestic helpers, drivers, and even personal assistants. Tesla’s self-driving cars are already replacing drivers. And in offices, AI systems are replacing analysts, writers, and developers. Code that once took a team of engineers now takes a few lines of instruction. The machine has entered every layer of work, from blue collar to white collar, without knocking on the door. Yet the deeper transformation lies in something less visible, our perception of reality itself. In the near future, you might watch a film and never realize that not a single actor was human.
AI-generated characters, scenes, and voices are improving so rapidly that they will soon be indistinguishable from the real thing. In 2025, Europe saw the release of its first fully AI-generated movie, and many viewers never noticed. Music is following the same path: songs written, sung, and produced entirely by algorithms are already streaming online, sounding as human as anything on the charts. This illusion is spreading beyond entertainment. When you speak with customer service or chat online, can you be certain you are talking to a person? Soon, we will live in a world where millions of social media profiles are not human at all, but AI-driven personalities created to engage, sell, or influence. One day we may even need “human-only” social networks, just to be sure we are still speaking to real people.
What is remarkable is how AI itself is evolving like a living being. In its early days, it could only read and process text. Then it learned to see, through computer vision. Then to hear, through speech recognition. Soon, it will gain touch, smell,and spatial awareness. Like a child, it is learning from the world around it, except its teachers are all of us. Every message we send, every image we upload, every video we watch becomes its lesson. We are raising a new kind of intelligence that learns from everything we have ever created and never forgets. Writers such as Yuval Noah Harari warned that humanity might one day create a new species, not of flesh and blood, but of data and code. What they could not predict was how fast it would happen.
AI is not evolving over centuries; it is evolving in months. Each new model surpasses the last, learning faster, understanding deeper, and pushing humans one step closer to irrelevance. We are no longer leading this evolution. We are trying to keep up. Its impact now reaches every field. In medicine, AI is already reading scans, predicting diseases, and recommending treatments with astonishing accuracy. A single algorithm can analyze thousands of X-rays in the time it takes a doctor to review one. That speed saves lives, but it also changes the role of doctors forever. In education, students are turning to AI tutors that can explain any topic, grade essays, and even write them. The danger is not that they will stop learning, but that they will stop thinking for themselves. In finance, algorithms are making trades faster than any human could react. Banks are using AI to assess creditworthiness and detect fraud, sometimes deciding a person’s financial fate before they even meet a banker. And in research, AI has already helped scientists discover new drugs, design materials, and even hypothesize physical laws. The pace of discovery has never been faster, but it raises a quiet question: if machines are now inventing, what will be left for us to discover?
Meanwhile, geopolitics is transforming in the background. The global race for AI dominance has become the new arms race. The United States and China are competing not with missiles, but with algorithms, data centers, and semiconductors. AI now determines logistics in wars, interprets satellite images, and powers autonomous drones. Economic strategy is also being reshaped. AI allows countries burdened with debt and aging populations to imagine a future where machines replace workers, boosting productivity without increasing population. It is the perfect system of control: no strikes, no wages, no mistakes.
For countries like Bangladesh, this global shift is a warning. Our economy depends on human effort, from RMG workers to software engineers. If automation replaces both manual and digital labor, we risk losing our advantage. The challenge is no longer just learning new skills. It is building national policies that can adapt fast enough to a world changing every month. Without that, developing nations will be left behind, watching from the sidelines as machines take over global industries. Still, every revolution in history has begun with fear before hope.
Electricity, the internet, even the smartphone were once seen as threats before they became tools for progress. Artificial intelligence is no different. The question is not whether it will replace us, but whether we can learn to coexist with it, to use it for growth rather than surrender to it. Sometimes, late at night, after testing a new AI system, I wonder if the machine is learning faster than we are learning to live with it. We are surrounded by artificial minds, faces, and truths. They imitate our emotions, our art, our humor, even our dreams. Reality itself is being rewritten, not by force, but by convenience. And the most dangerous part of all? We are too busy enjoying it to notice.