The Robot That Was Not Ours — And The Mirror We Cannot Afford to Ignore

Let me tell you exactly what happened. Every detail. Because the details matter more than the headlines.

It was February 18, 2026. New Delhi. Bharat Mandapam — the grand venue where India was hosting the India AI Impact Summit, the first major AI gathering in the entire Global South. Prime Minister Narendra Modi was there. Google CEO Sundar Pichai was there. OpenAI’s Sam Altman was there. Anthropic’s Dario Amodei was there. World leaders from nearly twenty nations were seated in the hall.

Over a hundred billion dollars in AI investment pledges were announced. Microsoft. Adani Group. Global giants lining up to bet on India’s future.

India, for one week, was standing at the centre of the world stage.

And then Orion walked in.

Meet Orion

At the Galgotias University exhibition stall, a four-legged robotic dog was drawing crowds. It was sleek. It moved with mechanical grace. Visitors gathered. Cameras pointed. People were genuinely impressed.

A professor named Neha Singh — from the School of Management, a communications faculty — stepped in front of a DD News camera, India’s state broadcaster, and said the words that would be heard around the world: “You need to meet Orion. This has been developed by the Centre of Excellence at Galgotias University.”

She said it with energy. She said it with pride. She said it with the unmistakable enthusiasm of someone who had always wanted a moment like this.

She got her moment.

Just not the one she imagined.

The Internet Does Not Sleep

Within hours, something unstoppable happened. The video went viral. And the internet — that vast, merciless, encyclopaedic crowd — went to work.

Social media users quickly identified the robot as the Unitree Go2 — a commercially available robotic dog manufactured by China’s Unitree Robotics, sold openly in India for approximately ₹2 to 3 lakh.

You can buy it online. Today. Right now. With a few clicks.

This was not a prototype. This was not a breakthrough from a Centre of Excellence. It was a product sold by China’s Unitree Robotics for about $1,600 — widely available in research and education markets globally.

The exposure was instant. The humiliation was total.

Following increased scrutiny, the power supply to the Galgotias University booth was reportedly disconnected after they were asked to leave the exhibition.

They did not just lose their stall. They lost the power. Literally and figuratively. In the middle of India’s biggest AI summit, in front of the entire world, Galgotias University was unplugged and shown the door.

It Got Worse

If you thought the Unitree Go2 was the end of it, you were wrong.

Galgotias University also faced fresh scrutiny after claiming that faculty and students had developed a “soccer drone” entirely in-house, describing it as a fully indigenous effort. Online users quickly identified the drone as the Striker V3 ARF, a commercially available product sold in India for roughly ₹40,000.

Not one. Two. Two products. Both bought. Both presented as built.

The university had come to India’s most important technology summit and brought a shopping cart dressed up as a laboratory.

The Response That Made It Worse Still

Now watch carefully what happened next — because this part tells us everything about the disease, not just the symptom.

As the backlash intensified, Galgotias University released a statement characterizing the criticism as a targeted “propaganda campaign” against the institution. By framing the public scrutiny as a malicious attack rather than a legitimate ethical inquiry, the university attempted to shift the narrative.

Think about that. The evidence was on video. The robot was on Amazon. And the university’s first instinct was to call it propaganda.

Then, in a new statement the following day, the university apologized and said Singh was “not authorized to talk to the media” and was “ill-informed.” It stated: “She was not aware of the technical origins of the product and in her enthusiasm at being on camera, gave factually incorrect information.”

Read that sentence once more, slowly.

“In her enthusiasm at being on camera.”

The university itself said it. It was the camera. It was the hunger for the moment. It was the intoxication of the spotlight that caused a communications professor — not a robotics engineer, not an AI researcher, but a communications professor — to stand before a national broadcaster and claim ownership of a Chinese robot, at a summit watched by the entire world.

Professor Singh herself later said: “I take accountability that perhaps I did not communicate it properly, as it was done with a lot of energy and enthusiasm and very quickly, so I may not have come across as eloquently as I usually do.”

With energy and enthusiasm. Very quickly.

This is what happens when the desire to perform replaces the discipline to prepare.

The World Was Watching. And It Was Not Impressed.

The political fallout was immediate and sharp.

Opposition leader Rahul Gandhi posted on X: “Instead of leveraging India’s talent and data, the AI summit is a disorganised PR spectacle — Indian data up for sale, Chinese products showcased.” The Bridge Chronicle

The Indian National Congress said: “The Modi government has made a laughing stock of India globally, with regard to AI. In the ongoing AI summit, Chinese robots are being displayed as our own. This is truly embarrassing for India.”

Now understand what was at stake. The India AI Impact Summit had been billed as the first major AI gathering hosted in the Global South, with Modi, Pichai, Altman, and Amodei all present, and over $100 billion in AI investments pledged.

One hundred billion dollars. World leaders. Global cameras. And India’s legacy of that week will forever carry a footnote — the university that brought a Chinese robot and called it their own.

That footnote cost nothing to create and will take years to erase.

Now Let Me Speak As Someone Who Was Watching

I am not writing this to pile more shame on Professor Neha Singh. The internet has already been unkind enough, and cruelty is not a lesson worth teaching.

I am writing this because what happened at Bharat Mandapam is not an isolated incident. It is a symptom of a national habit. And habits, unlike accidents, must be understood before they can be changed.

Wound One: The Hunger for the Camera

Professor Singh is not a villain. She is a product of an era that has taught all of us — educators, students, institutions, entire nations — that the camera is the measure of reality. That if you are not seen, you do not exist. That speed and enthusiasm are substitutes for depth and truth.

She stood in front of a camera at the biggest stage she had ever occupied, and she reached for the most impressive thing nearby. She grabbed the robot. She gave it a name. She gave it a story. She told the world it was India’s.

None of it was true. But for twenty seconds, it felt like it could be. And in a world that rewards the twenty-second feeling over the twenty-year fact, that felt like enough.

It was not enough. It was catastrophic.

Wound Two: A Communications Professor Was Sent to an AI Summit

This is the wound that cuts deepest, and it has nothing to do with Professor Singh personally.

Why was a faculty member from the School of Management — someone who, by her own admission, is not in AI — the one speaking to DD News about robotics and artificial intelligence at a national summit?

As the university itself admitted: she was “not aware of the technical origins of the product.”

She did not know what she was presenting. She was not qualified to present it. And yet there she stood, on national television, making claims she had no foundation to make.

This is what happens when universities send their most camera-comfortable faces instead of their most technically knowledgeable minds to represent them. When the marketing department leads and the research department follows. When the stall looks better than the substance behind it.

A good camera presence and a marketing mindset are valuable tools. But they are tools — not substitutes for knowledge, not replacements for research, and certainly not credentials to represent a university’s technical capability on a national stage. When we send our best performers instead of our best builders, we will always, eventually, run out of performance to give.

Wound Three: We Mistook Buying for Building

The most painful irony of this entire episode is what the university said in its defence — that the robot was purchased as a tool to inspire students to create something better.

That is not necessarily a bad educational philosophy. Using existing technology to teach is legitimate. Hundreds of universities around the world do exactly this.

But you do not take your classroom to the world stage and claim the furniture is your invention.

There is a profound difference between using technology and building it. India, at this moment in history, cannot afford to confuse the two. Not at a summit. Not on DD News. Not in front of Sam Altman.

Sun Tzu Had a Warning for India — Written 2,500 Years Ago

In The Art of War, Sun Tzu teaches the most important lesson that ambitious people almost always learn too late:

“Supreme excellence consists in breaking the enemy’s resistance without fighting.”

The great general does not announce himself. He does not hold a press conference before the battle. He does not invite cameras to film his preparation. He builds — in silence, with discipline so absolute it becomes invisible. And when he finally moves, the world does not need to be told. It already knows.

India’s universities are doing the opposite. They are announcing victories they have not won. They are inviting cameras to watch preparations that have not happened. They are standing on stages they have not yet earned the right to occupy.

And the world — that patient and merciless observer — is taking careful note.

The lesson of Sun Tzu for every Indian institution today is simple: go dark. Go deep. Do the work that cannot be filmed.

Build the robot. Do not buy it and rename it.

Write the algorithm. Do not borrow it and rebrand it.

Publish the research. Do not present someone else’s product as your own centre of excellence.

When you have truly built something — something that works, something the world needs, something that carries the unmistakable fingerprint of original Indian thought — you will not need to chase the camera. The camera will find you. It always finds people who have done something real.

The Stakes Are Higher Than One University’s Embarrassment

This incident is embarrassing. But embarrassment fades. What does not fade is the structural danger that the embarrassment reveals.

India’s greatest economic asset for thirty years has been its people — hundreds of millions of willing, educated, affordable workers who powered the IT boom, the BPO revolution, the back-office transformation of global business. India’s human capital was its competitive advantage. Its sheer workforce size was its leverage at every negotiating table on Earth.

That advantage is now under direct, accelerating threat from the same technology that was on display at Bharat Mandapam.

Artificial intelligence does not want a salary. It does not take sick leave. It does not need a visa. It does not ask for a promotion.

Every task that once required a junior software engineer, a data entry operator, a customer service representative, a document reviewer — AI is either already doing it or is months away from doing it. Not eventually. Now.

And here is the brutal arithmetic: if India’s universities are producing graduates who know how to look good on camera but not how to build systems that cameras want to film — we will not just fall behind the United States and China in AI. We will find ourselves in a world where the very workforce that made India powerful is no longer valuable.

The robot that embarrassed us at Bharat Mandapam was made in China. The question India must answer is whether, twenty years from now, we will be building the robots — or being replaced by them.

What Narayana Murthy Knew That We Are Forgetting

When N. R. Narayana Murthy, an Indian billionaire businessman, spoke of seventy hours of work, comfortable India reacted with outrage. He was called old-fashioned. Exploitative. Out of touch.

But Murthy was not talking about suffering. He was talking about the mathematics of catching up.

India is not the frontier of AI. We are not leading. We are watching. And the distance between watching and leading does not close on a forty-hour week and a viral reel.

The countries that are winning in AI are winning because of years — sometimes decades — of quiet, unglamorous, camera-free work. In labs with bad lighting. In offices with cold coffee. In classrooms where the teacher knows the answer to every question asked, because they spent thirty years finding those answers before they ever stood at a podium.

That culture of depth — of working so hard and so long that you no longer need to announce yourself — is what India must rebuild. Not just in technology. In every discipline where we are currently mistaking appearance for substance.

The Road Forward

So what must we do? Not as a political slogan. As a daily practice.

First, build the foundation. Every great structure begins underground — with work that nobody sees, that earns no applause, that has no camera pointing at it. Indian universities must return to the unglamorous discipline of foundational education. Deep mathematics. Rigorous logic. Real engineering. The kind of learning where failure is required and shortcuts are impossible.

Second, embrace the discipline of silence. The most powerful thing a young Indian student, researcher, or institution can do right now — in the noisiest era in human history — is to go quiet. Stop announcing. Start building. Not for a summit. Not for DD News. For the truth. For the work itself. For two years, five years, ten years — however long it takes to build something so real that the camera cannot help but notice it.

Third, put your best minds at the front, not your best eloquent faces. When India goes to the world stage — at a summit, in a journal, in a boardroom — let it be represented by the people who actually built the thing being shown. Not the people who are best at explaining things they did not build.

And finally — understand the moment we are in. The world is not waiting for India to be ready. The AI revolution is not pausing while we sort out our camera habits. Every month of confusion, every summit of smoke and mirrors, every robot renamed and re-presented — is a month of genuine work not done, a real innovation not built, a generation of students not properly equipped for the world they will inherit.

A Final Word…

Professor Neha Singh made a mistake in front of the entire world. She will carry that for a long time. And as an observer, I find no joy in that.

But I want to say this plainly: she is not our enemy. She is our mirror.

Every institution that has ever overstated its capabilities to attract funding mirrors her. Every student who has ever padded a resume mirrors her. Every government that has ever announced an initiative before building the infrastructure for it mirrors her.

The robot named Orion was not made at Galgotias University.

But the desire that brought it to that stage — the desperate, camera-hungry, shortcut-seeking desire to be seen as something we have not yet become — that was made right here, in all of us, over many years of rewarding appearance over substance.

The way out is not more humiliation. It is honesty.

And honesty, in this case, begins with three words that are harder to say than any technical claim on national television, but infinitely more powerful than any borrowed robot:

We are not there yet.

But we can be. If we stop performing and start building.

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