#FactCheck- Viral ‘Army Jump Accident’ Video Is AI-Generated

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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Introduction 

The geographical world has physical boundaries, but the digital one has a different architecture and institutions are underprepared when it comes to addressing cybersecurity breaches. Cybercrime, which may lead to economic losses, privacy violations, national security threats and have psycho-social consequences,  is forecast to continuously increase between 2024 and 2029, reaching an estimated cost of at least 6.4 trillion U.S. dollars (Statista). As cyber threats become persistent and ubiquitous, they are becoming a critical governance challenge. Lawmakers around the world need to collaborate on addressing this emerging issue.

Cybersecurity Governance and its Structural Elements

Cybersecurity governance refers to the strategies, policies, laws, and institutional frameworks that guide national and international preparedness and responses to cyber threats to governments, private entities, and individuals. Effective cybersecurity governance ensures that digital risks are managed proactively while balancing security with fundamental rights like privacy and internet freedom. It includes, but is not limited to :

1. Policies and Legal Frameworks: Laws that define the scope of cybercrime, cybersecurity responsibilities, and mechanisms for data protection. Eg: India’s National Cybersecurity Policy (NCSP) of 2013, Information Technology Act, 2000, and Digital Personal Data Protection Act, 2023, EU’s Cybersecurity Act (2019), Cyber Resilience Act (2024), Cyber Solidarity Act (2025), and NIS2 Directive (2022), South Africa’s Cyber Crimes Act (2021), etc.
2. Regulatory Bodies: Government agencies such as data protection authorities, cybersecurity task forces, and other sector-specific bodies. Eg: India’s Computer Emergency Response Team (CERT-In), Indian Cyber Crime Coordination Centre (I4C), Europe’s  European Union Agency for Cybersecurity (ENISA), and others.
3. Public-Private Knowledge Sharing: The sharing of the private sector’s expertise and the government’s resources plays a crucial role in improving enforcement and securing critical infrastructure. This model of collaboration is followed in the EU, Japan, Turkey, and the USA. 
4. Research and Development: Apart from the technical, the cyber domain also includes military, politics, economy, law, culture, society, and other elements. Robust, multi-sectoral research is necessary for formulating international and regional frameworks on cybersecurity. 

Challenges to Cybersecurity Governance 

Governments face several challenges in securing cyberspace and protecting critical assets and individuals despite the growing focus on cybersecurity. This is because so far the focus has been on cybersecurity management, which, considering the scale of attacks in the recent past, is not enough. Stakeholders must start deliberating on the aspect of governance in cyberspace while ensuring that this process is multi-consultative. (Savaş & Karataş 2022). Prominent challenges which need to be addressed are: 

• Dynamic Threat Landscape: The threat landscape in cyberspace is ever-evolving.  Bad actors are constantly coming up with new ways to carry out attacks, using elements of surprise, adaptability, and asymmetry aided by AI and quantum computing. While cybersecurity measures help mitigate risks and minimize damage, they can’t always provide definitive solutions. E.g., the pace of malware development is much faster than that of legal norms, legislation, and security strategies for the protection of information technology (IT). (Efe and Bensghir 2019).
• Regulatory Fragmentation and Compliance Challenges: Different countries, industries, or jurisdictions may enforce varying or conflicting cybersecurity laws and standards, which are still evolving and require rapid upgrades. This makes it harder for businesses to comply with regulations, increases compliance costs, and jeopardizes the security posture of the organization. 
• Trans-National Enforcement Challenges: Cybercriminals operate across jurisdictions, making threat intelligence collection, incident response, evidence-gathering, and prosecution difficult.  Without cross-border agreements between law enforcement agencies and standardized compliance frameworks for organizations, bad actors have an advantage in getting away with attacks. 
• Balancing Security with Digital Rights: Striking a balance between cybersecurity laws and privacy concerns (e.g., surveillance laws vs. data protection) remains a profound challenge,  especially in areas of CSAM prevention and identifying terrorist activities. Without a system of checks and balances, it is difficult to prevent government overreach into domains like journalism, which are necessary for a healthy democracy, and Big Tech’s invasion of user privacy. 

The Road Ahead: Strengthening Cybersecurity Governance 

All domains of human life- economy, culture, politics, and society- occur in digital and cyber environments now. It follows naturally, that governance in the physical world translates into governance in cyberspace. It must be underpinned by features consistent with the principles of openness, transparency, participation, and accountability, while also protecting human rights. In cyberspace, the world is stateless and threats are rapidly evolving with innovations in modern computing. Thus, cybersecurity governance requires a global, multi-sectoral approach utilizing the rules of international law, to chart out problems, and solutions, and carry out detailed risk analyses. (Savaş & Karataş 2022). 

References

• https://www.statista.com/forecasts/1280009/cost-cybercrime-worldwide#statisticContainer
• https://link.springer.com/article/10.1365/s43439-021-00045-4#citeas 
• https://digital-strategy.ec.europa.eu/en/policies/cybersecurity-policies#ecl-inpage-cybersecurity-strategy 

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Introduction

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Purchasing online currencies through one of the numerous sizable digital marketplaces designed specifically for this purpose is the simplest method. The quantity of cryptocurrency and money paid. These online marketplaces impose an exchange fee. After being obtained, digital cash is stored in a digital wallet and can be used in the metaverse or as real money to make purchases of goods and services in the real world. Blockchain ensures the security and decentralisation of each exchange. 

Its worth and application are comparable to those of gold: when a large number of investors choose this valuable asset, its value increases and vice versa. This also applies to cryptocurrencies, which explains why they have become so popular in recent years. The metaphysical realm is an online space where users can communicate with one another via virtual personas, among other features. Furthermore, money and commerce always come up when people communicate. 

Web3 is welcoming the metaverse, and in an environment where conventional currency isn't functional, its technologies are making it possible to use cryptocurrencies. Non-Fungible Tokens (NFTs) can be used to monitor intellectual rights to ownership in the metaverse, while cryptocurrencies are used to pay for content and incentivise consumers. This write-up addresses what the metaverse crypto is. It also delves into the advantages, disadvantages, and applications of crypto in this context. 

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Convergence of Metaverse and Cryptocurrency

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As the main form of digital money in the Metaverse, digital currencies can be used to do business and exchange in the digital realm. The term "metaverse" describes a simulation of reality where users can communicate in real time with other users and an environment created by computers. The acquisition and exchange of virtual products, virtual possessions, and electronic creativity within the Metaverse can all be made possible via cryptocurrency. 

Many digital currencies are based on blockchain software, which can offer an accessible and safe way to confirm payments and manage digital currencies in the Metaverse. By giving consumers vouchers or other electronic currencies in exchange for their accomplishments or contributions, cryptocurrency might encourage consumer engagement and involvement in the Metaverse.

In the Metaverse, cryptocurrency can also facilitate portable connectivity, enabling users to move commodities and their worth between various virtual settings and platforms.

The idea of fragmentation in the Metaverse, where participants have more ownership and control over their virtual worlds, is consistent with the decentralised characteristics of cryptocurrencies.

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Advantages of Metaverse Cryptocurrency

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There are countless opportunities for creativity and discovery in the metaverse. Because the blockchain is accessible to everyone, unchangeable, and password-protected, metaverse-centric cryptocurrencies offer greater safety and adaptability than cash. Crypto will be crucial to the evolution of the metaverse as it keeps growing and more individuals show interest in using it. Here are a few of the variables influencing the growth of this new virtual environment.

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Safety

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Your Bitcoin wallet is intimately linked to your personal information, progress, and metaverse possessions. Additionally, if your digital currency wallet is compromised, especially if your account credentials are weak, public, or connected to your real-world identity, cybercriminals may try to steal your money or personal data. 

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Adaptability

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Digital assets can be accessed and exchanged worldwide due to cryptocurrencies’ ability to transcend national borders. By utilising a local cryptocurrency, many metaverse platforms streamline transactions and eliminate the need for frequent currency conversions between various digital or fiat currencies. Another advantage of using autonomous contract languages is for metaverse cryptos. When consumers make transactions within the network, applications do away with the need for administrative middlemen.

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Objectivity

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By exposing interactions in a publicly accessible distributed database, the use of blockchain improves accountability. It is more difficult for dishonest people to raise the cost of digital goods and land since Bitcoin transactions are public. Metaverse cryptocurrencies are frequently employed to control project modifications. The outcomes of these legislative elections are made public using digital contracts. 

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NFT, Virtual worlds, and Digital currencies  

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Using the NFT is an additional method of using Bitcoin for metaverse transactions. These are distinct electronic documents that have significant potential value.  

A creator must convert an electronic work of art into a virtual object or virtual world if they want to display it digitally in the metaverse. Artists produce one-of-a-kind, serialised pieces that are given an NFT that may be acquired through Bitcoin payments. 

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Applications of Metaverse Cryptography

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Fiat money or independent virtual currencies like Robux are used by Web 2 metaverse initiatives to pay for goods, real estate, and services. Fiat lacked the adaptability of cryptocurrencies with automated contract capabilities, even though it may be used to pay for goods and finance the creation of projects. Users can stake these within the network virtual currencies to administer distributed metaverses, and they have all the same functions as fiat currency.

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Banking operations

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Lending digital cash to purchase metaverse land is possible. Banks that have already made inroads into the metaverse include HSBC and JPMorgan, both of which possess virtual real estate. "We are making our foray into the metaverse, allowing us to create innovative brand experiences for both new and existing customers," said Suresh Balaji, chief marketing officer for HSBC in Asia-Pacific.

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Purchasing

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An increasingly important aspect of the metaverse is online commerce. Users can interact with real-world brands, tour simulated malls, and try on virtual apparel for their characters. Adidas, for instance, debuted an NFT line in 2021 that included customizable peripherals for the Sandbox. Buyers of NFTs crossed the line separating the virtual universe and the actual world to obtain the tangible goods associated with their NFTs.

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Authority

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Metaverse initiatives are frequently governed by cryptocurrency. Decentraland, a well-known Ethereum-based metaverse featuring virtual reality components, permits users to submit and vote on suggestions provided they own specific tokens.

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Conclusion

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The combination of the virtual world and cryptocurrencies creates novel opportunities for trade, innovation, and communication. The benefits of using the blockchain system are increased objectivity, safety, and flexibility. By facilitating exclusive ownership of digital assets, NFTs enhance metaverse immersion even more. In the metaverse, cryptocurrencies are used in banking, shopping, and government, forming a user-driven, autonomous digital world. The combination of cryptocurrencies and the metaverse will revolutionise how we interact with online activities, creating a dynamic environment that presents both opportunities and difficulties.

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References

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• https://www.telefonica.com/en/communication-room/blog/metaverse-and-cryptocurrencies-what-is-their-relationship/
• https://hedera.com/learning/metaverse/metaverse-crypto
• https://www.linkedin.com/pulse/unleashing-power-connection-between-cryptocurrency-ai-amit-chandra/

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