#FactCheck-Air Taxi is a prototype and is not launched to commercial public

Introduction 

In the digital era, where technology is growing rapidly,  the role of Artificial Intelligence (AI) has been making its way to different corners of the world. Where nothing seems to be impossible, technology and innovation have been moving conjointly and once again, and such innovation is in the limelight with its groundbreaking initiative known as “Project Groot”, which has been announced by the AI chip leader “Nvidia”. The core of this project is the fusion of technology with AI and robotics, where a humanoid can be produced with the capability to understand the natural language and interact with it to further learn from the physical environment by observing human actions and skills. Project Groot aims to assist humans in diverse sectors such as Healthcare and so on. 

Humanoid robots are based on NVIDIA’s thor system-on-chip (SoC). The thor powers the intelligence of these robots, and the chip has been designed to handle complex tasks and ensure a safe and natural interaction between humans and robots. However, a big question arises about the ethical considerations of privacy, autonomy and the possible replacement of human workers. 

Brief Analysis 

Nvidia has announced Project GR00T, or Generalist Robot 00 Technology, which aims to create AI-powered humanoid robots with human-like understanding and movement. The project is part of Nvidia's efforts to drive breakthroughs in robotics and embodied AI, which can interact with and learn from a physical environment. The robots built on this platform are designed to understand natural language and emulate movements by observing human actions, such as coordination, dexterity, and other skills.

The model has been trained on NVIDIA GPU-accelerated simulation, enabling the robots to learn from human demonstrations with imitation learning and from the robotics platform NVIDIA Isaac Lab for reinforcement learning. This multimodal AI system acts as the mind for humanoid robots, allowing them to learn new skills and interact with the real world. Leading names in robotics, such as Figure, Boston Dynamics, Apptronik, Agility Robotics, Sanctuary AI, and Unitree, are reported to have collaborated with Nvidia to leverage GR00T.

Nvidia has also updated Isaac with Isaac Manipulator and Isaac Perceptor, which add multi-camera 3D vision. The company also unveiled a new computer, Jetson Thor, to aid humanoid robots based on NVIDIA's SoC, which is designed to handle complex tasks and ensure a safe and natural interaction between humans and robots.

Despite the potential job loss associated with humanoid robots potentially handling hazardous and repetitive tasks, many argue that they can aid humans and make their lives more comfortable rather than replacing them.

Policy Recommendations 

The Nvidia project highlights a significant development in AI Robotics, presenting a brimming potential and ethical challenges critical for the overall development and smooth assimilation of AI-driven tech in society. To ensure its smooth assimilation, a comprehensive policy framework must be put in place. This includes:

• Human First Policy - Emphasis should be on better augmentation rather than replacement. The authorities must focus on better research and development (R&D) of applications that aid in modifying human capabilities, enhancing working conditions, and playing a role in societal growth. 
• Proper Ethical Guidelines - Guidelines stressing human safety, autonomy and privacy should be established. These norms must include consent for data collection, fair use of AI in decision making and proper protocols for data security. 
• Deployment of Inclusive Technology - Access to AI Driven Robotics tech should be made available to diverse sectors of society. It is imperative to address potential algorithm bias and design flaws to avoid discrimination and promote inclusivity.
• Proper Regulatory Frameworks - It is crucial to establish regulatory frameworks to govern the smooth deployment and operation of AI-driven tech. The framework must include certification for safety and standards, frequent audits and liability protocols to address accidents. 
• Training Initiatives - Educational programs should be introduced to train the workforce for integrating AI driven robotics and their proper handling. Upskilling of the workforce should be the top priority of corporations to ensure effective integration of AI Robotics. 
• Collaborative Research Initiatives - AI and emerging technologies have a profound impact on the trajectory of human development. It is imperative to foster collaboration among governments, industry and academia to drive innovation in AI robotics responsibly and undertake collaborative initiatives to mitigate and address technical, societal, legal and ethical issues posed by AI Robots. 

Conclusion 

On the whole, Project GROOT is a significant quantum leap in the advancement of robotic technology and indeed paves the way for a future where robots can integrate seamlessly into various aspects of human lives. 

References

• https://indianexpress.com/article/explained/explained-sci-tech/what-is-nvidias-project-gr00t-impact-robotics-9225089/
• https://medium.com/paper-explanation/understanding-nvidias-project-groot-762d4246b76d
• https://www.techradar.com/pro/nvidias-project-groot-brings-the-human-robot-future-a-significant-step-closer
• https://www.barrons.com/livecoverage/nvidia-gtc-ai-conference/card/nvidia-announces-ai-model-for-humanoid-robot-development-BwT9fewMyD6XbuBrEDSp

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Executive Summary
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A video circulating on social media shows Dr. Vikas Divyakirti speaking during a podcast, where he is heard saying, “Those who cannot even memorise and speak four sentences are considered the greatest in India.” Several users are sharing the clip claiming that the remark was aimed at Narendra Modi. However, a research by CyberPeace found the claim to be misleading. The research revealed that the viral clip has been edited and shared out of context. In the original video, Divyakirti made the remarks in reference to film stars, not the Prime Minister.

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Claim

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On Facebook, a user shared the viral clip with an English caption alleging that Divyakirti criticised Modi, saying he cannot speak without a teleprompter or scripted interviews and has built a false image of greatness.

• https://www.facebook.com/share/v/17EicvJqAy/ 
• https://archive.ph/Ep2aH 

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Similarly, another user shared the video on X, suggesting that people who cannot speak without a teleprompter are still considered great in India, indirectly linking the remark to Modi.

• https://x.com/JeetuBesla/status/2038097193585005031?s=20 
• https://archive.ph/hMZYX 

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Fact Check

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To verify the claim, we extracted keyframes from the viral video and conducted a reverse image search using Google Lens. This led us to the original video uploaded on the official YouTube channel of Raj Shamani.

• https://www.youtube.com/watch?v=uLnJy8LddgM 

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At around the 3:55 mark, the same clip can be seen. During the conversation, Shamani asks whether building a larger-than-life perception actually benefits an individual. Responding to this, Dr. Vikas Divyakirti explains that film stars often have an exaggerated public image. He notes that many of the dialogues they are praised for are not written by them, but by others, and some even rely on teleprompters while speaking. He further adds that there are individuals who cannot even memorise and deliver four sentences or think independently, yet are regarded as great in India. He also mentions that many social media personalities use teleprompters, but audiences remain unaware and assume they possess exceptional knowledge.

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Conclusion

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The viral claim is misleading. The video has been edited and shared out of context. Dr. Vikas Divyakirti was referring to film stars and social media personalities, not Narendra Modi.

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The global race for Artificial Intelligence is heating up, and India has become one of its most important battlegrounds. Over the past few months, tech giants like OpenAI (ChatGPT), Google (Gemini), X (Grok), Meta (Llama), and Perplexity AI have stepped up their presence in the country,  not by selling their AI tools, but by offering them free or at deep discounts.

At first, it feels like a huge win for India’s digital generation. Students, professionals, and entrepreneurs today can tap into some of the world’s most powerful AI tools without paying a rupee. It feels like a digital revolution unfolding in real time. Yet, beneath this generosity lies a more complicated truth. Experts caution that this wave of “free” AI access isn’t without strings attached. This offering impacts how India handles data privacy, the fairness of competition, and the pace of the development of homegrown AI innovation that the country is focusing on. 

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The Market Strategy: Free Now, Pay Later  

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The choice of global AI companies to offer free access in India is a calculated business strategy. With one of the world’s largest and fastest-growing digital populations, India is a market no tech giant wants to miss. By giving away their AI tools for free, these firms are playing a long game:

1. Securing market share early: Flooding the market with free access helps them quickly attract millions of users before Indian startups have a chance to catch up. Recent examples are Perplexity, ChatGPT Go and Gemini AI which are offering free subscriptions to Indian users. 
2. Gathering local data: Every interaction, every prompt, question, or language pattern, helps these models learn from larger datasets to improve their product offerings in India and the rest of the world. Nothing is free in the world - as the popular saying goes, “if something is free, means you are the product. The same goes for these AI platforms: they monetise user data by analysing chats and their behaviour to refine their model and build paid products. This creates the privacy risk as India currently lacks specific laws to govern how such data is stored, processed or used for AI training. 
3. Create user dependency: Once users grow accustomed to the quality and convenience of these global models, shifting to Indian alternatives,  even when they become paid, will be difficult. This approach mirrors the “freemium” model used in other tech sectors, where users are first attracted through free access and later monetised through subscriptions or premium features, raising ethical concerns.  

Impact on Indian Users

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For most Indians, the short-term impact of free AI access feels overwhelmingly positive. Tools like ChatGPT and Gemini are breaking down barriers by democratising knowledge and making advanced technology available to everyone, from students, professionals, to small businesses.  It’s changing how people learn, think and do - all without spending a single rupee.But the long-term picture isn’t quite as simple. Beneath the convenience lies a set of growing concerns:

• Data privacy risks: Many users don’t realise that their chats, prompts, or queries might be stored and used to train global AI models. Without strong data protection laws in action, sensitive Indian data could easily find its way into foreign systems.
• Overdependence on foreign technology: Once these AI tools become part of people’s daily lives, moving away from them gets harder — especially if free access later turns into paid plans or comes with restrictive conditions.
• Language and cultural bias: Most large AI models are still built mainly around English and Western data. Without enough Indian language content and cultural representation, the technology risks overlooking the very diversity that defines India

Impact on India’s AI Ecosystem  

India’s Generative AI market, valued at USD $ 1.30 billion in 2024, is projected to reach 5.40 billion by 2033. Yet, this growth story may become uneven if global players dominate early.  

Domestic AI startups face multiple hurdles — limited funding, high compute costs, and difficulty in accessing large, diverse datasets. The arrival of free, GPT-4-level models sharpens these challenges by raising user expectations and increasing customer acquisition costs.  

As AI analyst Kashyap Kompella notes, “If users can access GPT-4-level quality at zero cost, their incentive to try local models that still need refinement will be low.” This could stifle innovation at home, resulting in a shallow domestic AI ecosystem where India consumes global technology but contributes little to its creation.  

CCI’s Intervention: Guarding Fair Competition  

The Competition Commission of India (CCI) has started taking note of how global AI companies are shaping India’s digital market. In a recent report, it cautioned that AI-driven pricing strategies such as offering free or heavily subsidised access could distort healthy competition and create an uneven playing field for smaller Indian developers.

The CCI’s decision to step in is both timely and necessary. Without proper oversight, such tactics could gradually push homegrown AI startups to the sidelines and allow a few foreign tech giants to gain disproportionate influence over India’s emerging AI economy.  

 What the Indian Government Should Do  

To ensure India’s AI landscape remains competitive, inclusive, and innovation-driven, the government must adopt a balanced strategy that safeguards users while empowering local developers.  

 1. Promote Fair Competition  

The government should mandate transparency in free access offers, including their duration, renewal terms, and data-use policies.  Exclusivity deals between foreign AI firms and telecom or device companies must be closely monitored to prevent monopolistic practices.  

 2. Strengthen Data Protection 

Under the Digital Personal Data Protection (DPDP) Act, companies should be required to obtain explicit consent from users before using data for model training.  Encourage data localisation, ensuring that sensitive Indian data remains stored within India’s borders.  

3. Support Domestic AI Innovation  

Accelerate the implementation of the IndiaAI Mission to provide public compute infrastructure, open datasets, and research funding to local AI developers like  Sarvam AI, an Indian company chosen by the government to build the country's first homegrown large language model (LLM) under IndianAI Mission. 

4. Create an Open AI Ecosystem

India should develop national AI benchmarks to evaluate all models, foreign or domestic, on performance, fairness, and linguistic diversity. And at the same time, they have their own national data Centre to train their indigenous  AI models. 

5. Encourage Responsible Global Collaboration

Speaking at the AI Action Summit 2025, the Prime Minister highlighted that governance should go beyond managing risks and should also promote innovation for the global good. Building on this idea, India should encourage global AI companies to invest meaningfully in the country’s ecosystem through research labs, data centres, and AI education programmes. Such collaborations will ensure that these partnerships not only expand markets but also create value, jobs and knowledge within India.

Conclusion

The surge of free AI access across India represents a defining moment in the nation’s digital journey. On one hand, it’s empowering millions of people and accelerating AI awareness like never before. On the other hand, it poses serious challenges from over-reliance on foreign platforms to potential risks around data privacy and the slow growth of local innovation. India’s real test will be finding the right balance between access and autonomy, allowing global AI leaders to innovate and operate here, but within a framework that protects the interests of Indian users, startups, and data ecosystems. With strong and timely action under the Digital Personal Data Protection (DPDP) Act, the IndiaAI Mission, and the Competition Commission of India’s (CCI) active oversight, India can make sure this AI revolution isn’t just something that happens to the country, but for it. 

References

1. https://www.moneycontrol.com/artificial-intelligence/cci-study-flags-steep-barriers-for-indian-ai-startups-calls-for-open-data-and-compute-access-to-level-playing-field-article-13600606.html# 
2. https://www.imarcgroup.com/india-generative-ai-market 
3. https://www.mea.gov.in/Speeches-Statements.htm?dtl/39020/Opening_Address_by_Prime_Minister_Shri_Narendra_Modi_at_the_AI_Action_Summit_Paris_February_11_2025 
4. https://m.economictimes.com/tech/artificial-intelligence/nasscom-planning-local-benchmarks-for-indic-ai-models/articleshow/124218208.cms 
5. https://indianexpress.com/article/business/centre-selects-start-up-sarvam-to-build-country-first-homegrown-ai-model-9967243/# 

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