#FactCheck -Old Karnataka Video Falsely Linked to Holi Celebrations on Eid in Delhi

Introduction

Quantum mechanics is not a new field. It finds its roots in the works of physicists such as Niels Bohr in the 1920s, and has informed the development of technologies like nuclear power in the past. But with developments in science and engineering, we are at the cusp of harnessing quantum mechanics for a new wave of real-world uses in sensing and metrology, computing, networking, security, and more. While at different stages of development, quantum technologies have the potential to revolutionise global security, economic systems, and digital infrastructure. The science is dazzling, but it is equally urgent to start preparing for its broader impact on society, especially regarding privacy and digital security. This article explores quantum computing, its threat to information integrity, and global interdependencies as they exist today, and discusses policy areas that should be addressed.

What Is Quantum Computing?

Classical computers use binary bits (0 or 1) to represent and process information. This binary system forms the base of modern computing. But quantum computers use qubits (quantum bits) as a basic unit, which can exist in multiple states ( 0, 1, both, or with other qubits) simultaneously due to quantum principles like superposition and entanglement. This creates an infinite range of possibilities in information processing and allows quantum machines to perform complex computations at speeds impossible for traditional computers. While still in their early stages, large-scale quantum computers could eventually:

1. Break modern encryption systems
2. Model complex molecules for drug discovery
3. Optimise global logistics and financial systems
4. Accelerate AI and machine learning

While this could eventually present significant opportunities in fields such as health innovation, material sciences, climate modelling, and cybersecurity, challenges will continue to arise even before the technology is ready for commercial application. Policymakers must start anticipating their impact.

Threats

Policy solutions surrounding quantum technologies will depend on the pace of development of the elements of the quantum ecosystem. However, the most urgent concerns regarding quantum computing applications are the risk to encryption and the impact on market competition.

1. Cybersecurity Threat: Digital infrastructure today (e.g., cloud services, networks, servers, etc.) across sectors such as government, banking and finance, healthcare, energy, etc., depends on encryption for secure data handling and communications. Threat actors can utilise quantum computers to break this encryption. Widely used asymmetric encryption keys, such as RSA or ECC, are particularly susceptible to being broken. Threat actors could "harvest now, decrypt later”- steal encrypted data now and decrypt it later when quantum capabilities mature. Although AES-256, a symmetric encryption standard, is currently considered resistant to quantum decryption, it only protects data after a secure connection is established through a process that today relies on RSA or ECC. This is why governments and companies are racing to adopt Post- Quantum Cryptography (PQC) and quantum key distribution (QKD) to protect security and privacy in digital infrastructure.

2. Market Monopoly: Quantum computing demands significant investments in infrastructure, talent, and research, which only a handful of countries and companies currently possess. As a result, firms that develop early quantum advantage may gain unprecedented competitive leverage through offerings such as quantum-as-a-service, disrupting encryption-dependent industries, or accelerating innovation in pharmaceuticals, finance, and logistics. This could reinforce the existing power asymmetries in the global digital economy. Given these challenges, proactive and forward-looking policy frameworks are critical.

What Should Quantum Computing Policy Cover?

Commercial quantum computing will transform many industries. Policy will have to be flexible and be developed in iterations to account for fast-paced developments in the field. It will also require enduring international collaboration to effectively address a broad range of concerns, including ethics, security, privacy, competition, and workforce implications.

1. Cybersecurity and Encryption: Quantum policy should prioritise the development and standardisation of quantum-resistant encryption methods. This includes ongoing research into Post-Quantum Cryptography (PQC) algorithms and their integration into digital infrastructure. Global policy will need to align national efforts with international standards to create unified quantum-safe encryption protocols.

2. Market Competition and Access: Given the high barriers to entry, regulatory frameworks should promote fair competition, enabling smaller players like startups and developing economies to participate meaningfully in the quantum economy. Frameworks to ensure equitable access, interoperability, and fair competition will become imperative as the quantum ecosystem matures so that society can reap its benefits as a whole.

4. Ethical Considerations: Policymakers will have to consider the impact on privacy and security, and push for the responsible use of quantum capabilities. This includes ensuring that quantum advances do not contribute to cybercrime, disproportionate surveillance, or human rights violations.

5. International Standard-Setting: Setting benchmarks, shared terminologies, and measurement standards will ensure interoperability and security across diverse stakeholders and facilitate global collaboration in quantum research and infrastructure.

6. Military and Defence Implications: Militarisation of quantum technologies is a growing concern, and national security affairs related to quantum espionage are being urgently explored. Nations will have to develop regulations to protect sensitive data and intellectual property from quantum-enabled attacks.

7. Workforce Development and Education: Policies should encourage quantum computing education at various levels to ensure a steady pipeline of talent and foster cross-disciplinary programs that blend quantum computing with fields like machine learning, AI, and engineering.

8. Environmental and Societal Impact: Quantum computing hardware requires specialised conditions such as extreme cooling. Policy will have to address the environmental footprint of the infrastructure and energy consumption of large-scale quantum systems. Broader societal impacts of quantum computing, including potential job displacement, accessibility issues, and the equitable distribution of quantum computing benefits, will have to be explored.

Conclusion

Like nuclear power and AI, the new wave of quantum technologies is expected to be an exciting paradigm shift for society. While they can bring numerous benefits to commercial operations and address societal challenges, they also pose significant risks to global information security. Quantum policy will require regulatory, strategic, and ethical frameworks to govern the rise of these technologies, especially as they intersect with national security, global competition, and privacy. Policymakers must act in collaboration to mitigate unethical use of these technologies and the entrenchment of digital divides across countries. The OECD’s Anticipatory Governance of Emerging Technologies provides a framework of essential values like respect for human rights, privacy, and sustainable development, which can be used to set a baseline, so that quantum computing and related technologies benefit society as a whole.

References

• https://www.weforum.org/stories/2024/07/explainer-what-is-quantum-technology/
• https://www.paconsulting.com/insights/what-is-quantum-technology
• https://delinea.com/blog/quantum-safe-encryption#:~:text=This%20can%20result%20in%20AES,%2D128%20to%20AES%2D256.
• https://www.oecd.org/en/publications/a-quantum-technologies-policy-primer_fd1153c3-en.html

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Governments in nations across the globe are consequently vying to draw in data centre investments as components of the wider AI sovereignty policies. However, recent events in Ireland make it clear that such an infrastructure is associated with significant environmental and social price tags. In geographically dense and resource-strained countries such as India, these trade-offs pose some pressing questions of whether today's AI ambitions are socially or environmentally sustainable. The data centre crisis in Ireland provides a handy reminder. It puts emphasis on the capacity of land use, water stress, energy demand, and disruption of communities to amplify quickly as digital infrastructure continues to increase at a faster rate than the regulatory and ecological capacity. These lessons should be paid close attention to as India continues to develop the IndiaAI Mission and establish itself as an AI hub in the future.

Why Data Centres Are Ecological Stress Multipliers

The data centres are sometimes referred to as clean digital infrastructure; however, in an actual sense, they are heavy industrial guardians of resources. Centres of large proportions demand an extensive amount of land, constant electricity, and a significant amount of water to cool down. 

The most apparent effect is on energy consumption. Data centres are 24/7, round the clock, and need to be powered with a high-quality and stable electricity supply. By 2022, data centres had more than a quarter of the overall national electricity demand in Ireland, which created problems regarding grid stability and energy security (EirGrid, 2022). This compelled regulators to limit new connections in some of the areas. These trends also bring some similarities to certain regions of the United States, especially in Virginia, where particular data centres have led to peaks in the electricity demand in the region (U.S. Energy Information Administration, 2023).

Another primary source of pressure is the use of water. Heavy liquid coolers are very intensive systems in data centres, which tend to use the local freshwater sources. This may directly compete with residential and agricultural requirements in case of heatwaves or drought. In the western US, environmental advocates have issued notices that data centres contribute to a water deficit in other overextended basins (New York Times, 2023).

It also depends on local pollution and land use. Data centres are normally constructed on large plots close to urban or peri-urban centres, having good accessibility. This may push aside farmlands, increase property rates, and change local ecologies. The backup diesel generators, which are employed during power cuts, add to air and noise pollutants, and they thus impact the adjacent communities.

Ireland’s Experience and the Social Backlash

The low corporate taxes, cool climate, and PIC access to the EU market made Ireland a big data centre hub. The concentration of facilities around Dublin was, however, done unintentionally, leading to its rapid concentration. The population in their local communities also experienced mounting housing pressure, power competition, and underemployment because the number of long-term jobs created by a data centre is comparatively low.

The Irish government later realised that data centre expansion was causing strain on climate commitments and electricity infrastructure on a national level. The grid operators started denying new connections to data centres in sections of the country, which amounted to a kind of moratorium on further growth (TechPolicy.Press, 2024). What was initially a digital success story became a government issue, an ecology versus economic plan clash.

This experience particularly applies to smaller or densely populated countries. Countries such as Ireland and India have concentrated influences on fewer points, unlike the United States or China, which are able to spread data centres over wide areas.

India’s Emerging Data Centre Geography

India is advertising data centres as a way of advancing its digital and AI platforms. There are a number of states that have published data centre policies, such as Maharashtra, Tamil Nadu, Telangana, and Uttar Pradesh. The connectivity, financial infrastructure, and location to large user bases are making Mumbai, Chennai, Hyderabad, and Noida major hubs (MeitY, 2023).

Nevertheless, these areas are already stressed in terms of the environment. Mumbai also suffers from land shortage and flooding. There is a permanent water scarcity in Chennai. Hyderabad and Noida cannot cope with the intensity of population growth and energy demand in urban areas. Locating such large-scale data centres in these locations will pose a risk of augmenting the existing vulnerabilities instead of decentralising the benefits of development.

India, in contrast to the United States or China, does not have continental-scale low-density areas with spare water and power near demand centres. Each additional data centre in India is thus likely to have an impact on an increasing number of people per unit of infrastructure, by land acquisition, water diversion, grid pressure, or environmental externalities.

Community Impacts and Uneven Costs

The cost incurred by local communities to increase their data centre expansion is not proportionate to the benefits enjoyed. The after construction efforts to generate employment is minimal and the long term effects include strains on infrastructure. Tariffs can be increased with the growth of electric power demand. The extraction of water may have impacts on local supply. The prices of real estate may crowd out the lower-income population.

These impacts may be enhanced in India, where urban inequality is already high. The informal settlements along the industrial areas are such that they are vulnerable to pollution as well as diversion of resources. Data centres will otherwise be yet another project that creates unequal development without proper consultation with the community and other environmental protection measures.

What This Means for India’s AI Sovereignty Plans

The IndiaAI Mission of India focuses on developing local AI potential, data networks, and processing units to minimise the use of external systems ( IndiaAI Mission Document, 2024). This vision is based on data centres. Nevertheless, the concept of simple AI autonomy is made difficult by ecological limits.

An AI infrastructure that compromises water security, energy availability, or climate objectives could come under opposition and regulation backlash, as in the case of Ireland. This would delay deployment and add up to more expenses. Physical expansion is not sufficient to have true AI sovereignty. It should also take into consideration sustainability, decentralisation, and efficiency.

This brings about strategic concerns. India must invest more vigorously in energy-efficient computing, edge AI and model optimisation as opposed to scale. Is renewable energy integration viable to maintain the information centre demand? Is data centre siting to comply with long term water and land use planning, and not the short-term incentives of investment?

Towards a Sustainable Digital Infrastructure Strategy

India can still afford to learn not to repeat the errors experienced elsewhere. This will necessitate data centres being regarded as digital assets, not important infrastructures that have an environmental and social impact. Both more robust environmental impact assessments and public water and energy accounting and community involvement must become unavoidable.

From an AI policy perspective, sustainability should be seen as a pillar of sovereignty. An AI ecosystem that depends on fragile ecological foundations is not resilient. By learning from Ireland and adapting global lessons to local realities, India can pursue AI leadership without creating new environmental crises.

The future of AI will not be decided only by algorithms and talent. It will also be shaped by land, water, energy, and the communities that live alongside digital infrastructure. Ignoring those realities would make AI ambition fragile rather than sovereign.

References

• TechPolicy.Press. What Ireland’s Data Center Crisis Means for the EU’s AI Sovereignty Plans. 2024. https://techpolicy.press
• EirGrid. Electricity Demand Forecast Statement. 2022. https://www.eirgridgroup.com
• U.S. Energy Information Administration. Data Centers and Energy Demand. 2023. https://www.eia.gov
• New York Times. Data Centers Are Straining Water Supplies in the American West. 2023. https://www.nytimes.com 
• Ministry of Electronics and Information Technology. India Data Centre Policy and Digital Infrastructure Initiatives. 2023. https://www.meity.gov.in
• IndiaAI Mission. Official Mission Document and Framework. 2024. https://indiaai.gov.in

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Executive Summary:

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A video is going viral on social media linking it to the ongoing conflict between the US-Israel and Iran. The clip shows explosions on buildings and is being shared with the claim that it depicts an attack on Israel. It is further claimed that Iran targeted a nuclear site located near the sea in Israel, and this video shows that attack. However, an research  by the CyberPeace found the claim to be false. The video is not from a real incident but has been created using AI.

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Claim:

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On social media platform X, a user shared the viral video on March 8, 2026, with the caption: “Iran attacked an Israeli nuclear site located near the sea.”
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• https://x.com/ParvenNaz/status/2030680111570096253?s=20 
• https://perma.cc/E9S2-MPVE 

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Fact Check:

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To verify the viral claim, we searched relevant keywords on Google but found no credible news reports supporting it.On closely examining the video, we observed several technical inconsistencies. The person seen in the video appears robotic, raising suspicion that the content may be AI-generated. To confirm this, we analyzed the video using AI detection tools. The tool Hive Moderation indicated that the video is approximately 97.5 percent likely to be generated using artificial intelligence.

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We also used the AI detection tool Matrix.Tencent. The results suggested that the video is likely AI-generated, with around a 77 percent probability.

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Conclusion:

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Our research  found that the viral video claiming to show an Iranian attack on Israel is AI-generated and not related to any real incident.

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