#FactCheck:AI-Created Video Falsely Shows Car Catching Fire During Celebration
Executive Summary:
A video showing a car catching fire is rapidly going viral on social media. In the clip, a family can be seen bursting firecrackers in front of a newly purchased car. Moments later, the vehicle also appears to catch fire. The video is being shared with the claim that the family was celebrating the purchase of a new car with fireworks, which accidentally led to the vehicle going up in flames. Many users are circulating the clip as footage of a real incident. However, an research by the CyberPeace found that the video is not from a real-life event but has been created using Artificial Intelligence (AI).
Claim
On February 25, 2026, an X user named “Mamta Rajgarh” shared the viral video with the caption:“This was supposed to be a grand celebration for buying a new car, but it turned into a ceremony of burning the car. What do you say? Comment below.”
- Post link: https://x.com/rajgarh_mamta1/status/2026696175311786408?s=20
- Archived link: https://perma.cc/22AA-KBS4
Fact Check:
To verify the claim, we conducted a keyword search on Google but found no credible news reports supporting the alleged incident. Upon closely examining the video, we noticed several technical inconsistencies. The car’s number plate is unclear, a common flaw often seen in AI-generated content. Additionally, the sequence of events appears unnatural — the firecrackers seem to extinguish first, and only after a delay does the car suddenly catch fire. These irregularities raised suspicion that the video may have been artificially generated. To further verify, we analyzed the clip using AI detection tools. Hive Moderation indicated a 98.7 percent likelihood that the video was generated using Artificial Intelligence.
Another AI detection tool, Undetectable.ai, suggested a 77 percent probability that the video was AI-generated.
Conclusion
Our research confirms that the viral video does not depict a real incident. It has been created using Artificial Intelligence and is being misleadingly shared as genuine footage.
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Introduction
As AI becomes more deeply integrated into everyday life and industries, Google Cloud is increasing its investment in AI-ready data centres worldwide, with India emerging as a key part of its expansion plans. Thomas Kurian’s latest India visit highlighted Google Cloud’s expanding ambitions in the country. Beyond the $15 billion, 1GW Visakhapatnam data centre announced in October 2025, Google is planning a larger multi-year AI infrastructure push, backed by partnerships with major enterprises across banking, healthcare, and digital services. This reflects a shift where countries are not only competing to create advanced AI technologies but also to build the infrastructure needed to support and lead the future AI economy. But it's worth being precise about what "building infrastructure" actually means here because it is private, foreign-headquartered capital constructing facilities on Indian soil, under terms that remain largely opaque to the public that will depend on them. That distinction matters more than the investment headline suggests.
The Promise and Pressure of Google’s Full-Stack AI Strategy
For decades, data centres were mainly built to store information, host websites, and support cloud applications. The rise of generative AI has completely changed that role. Today's systems need massive computing power both to train models on huge datasets and to run them every time someone generates content or automates a task. It is distinguished from traditional workloads mainly due to relying on proprietary technologies like GPU or TPU, alongside advanced networking and dynamic storage systems that complement each other and work in unison. The efforts of Google to create its own TPUs are understandable as they played a vital role in a number of achievements made by Google DeepMind. Today, the companies, government entities, and people turning to AI solutions put enormous pressure on the processing of data.
The companies that are building this infrastructure are shaping ecosystems on which others will depend on. Google’s “full stack” approach that infers controlling everything from chips and AI models to cloud platforms and applications which may improve efficiency and reduce costs, but it also creates deeper dependence on a single provider. Like a hospital adopting an AI platform is not just purchasing software; over time, its data systems, workflows, and operations can become closely tied to the underlying cloud ecosystem.
This concern when viewed against the concentration of the global cloud market: Amazon Web Services, Microsoft Azure, and Google Cloud together control roughly two-thirds of global cloud infrastructure, making them the dominant gatekeepers of enterprise computing. As these same companies move upward into AI models and applications while controlling the compute layer beneath them, the debate is no longer only about market share, it is about control over the entire AI value chain.
Why Location Matters and Why It Isn't Enough
In traditional internet services, a delay of a few milliseconds rarely mattered. However, future AI applications like autonomous vehicles, AI-assisted diagnostics, automated factory robotics will demand near-instant decision-making and cannot always depend on servers thousands of kilometres away. Regional data centres reduce that latency, which matters especially for India, where hundreds of millions are expected to interact with AI-powered services in the coming years. There is also the question of data sovereignty, and this is where the infrastructure narrative gets ahead of the regulatory reality. Governments worldwide are increasingly concerned about where citizens' and companies' data is stored and processed and local data centres are presented as the answer, but physical proximity does not automatically translate into legal accountability. Google has acknowledged that it bills cloud revenue through whichever global entity corresponds to the data centre being accessed which means an Indian client's spending on Google Cloud infrastructure inside India may still not be booked, taxed, or contractually governed as an Indian transaction. Google Cloud India Pvt. Ltd reported just ₹2,065.4 crore in FY25 revenue, strikingly disconnected from the scale of a $15 billion facility and its roster of major Indian clients. Servers on Indian soil do not by themselves guarantee that India captures the tax base, the leverage, or the oversight that "data sovereignty" implies.
This gap is widened by where India's own data protection framework stands. The Digital Personal Data Protection (DPDP) Act, 2023 leaves retention periods and purpose limitation loosely specified under Sections 8(7) and 12, and its enforcement rules are still being finalised. When hospitals or banks process data through a foundation-model platform like Gemini Enterprise, questions like where processing occurs and what audit trail exists for cross-border flows are not resolved by a local data centre's presence. At present, they rely mostly on vendor assurance rather than independent verification.
Economic Opportunities: More Than Just Servers
AI data centres are often imagined as buildings filled with computers, but their economic impact extends further, into energy systems, construction, engineering, semiconductor supply chains, and skilled technical work. Countries hosting these facilities can benefit from investment and job creation, while local businesses gain access to AI tools without building expensive infrastructure of their own.
For India, expanded AI infrastructure could support ambitions to become a global technology hub, and could narrow the gap in access to high-performance computing that has historically disadvantaged smaller companies and researchers. That potential is real. But it should be weighed against the terms on which it arrives, whether the economic value generated is captured domestically through tax revenue and enforceable local accountability, or whether India functions primarily as a hosting site while value accrues elsewhere. The current revenue-booking structure suggests the latter is, at minimum, a live risk rather than a settled question.
The Environmental Challenge of AI Expansion
However, what remains less discussed is the environmental cost behind this expansion from its impact on the power grid and water required for cooling to clearing use of renewable energy. A 1GW facility, the scale for the Visakhapatnam project is comparable to the output of a mid-sized power plant dedicated entirely to compute demand. As models grow larger and adoption accelerates, this level of energy and water consumption has become one of the central concerns of the global AI infra. As much attention as the investment figures receive, the sustainability issue behind such large-scale infrastructure deserves equal visibility.
The Future: AI Infrastructure as National Infrastructure
The expansion of Google Cloud's AI data centres show a change in how the world views computing. Data centres are no longer invisible facilities operating in the background; they are becoming strategic infrastructure comparable to power grids and telecom networks. That comparison should prompt that infrastructure this consequential is usually made subject to public oversight, licensing conditions, and accountability mechanisms proportionate to its importance which is missing so far. Google Cloud's investment and the compute capacity it brings will lower barriers for Indian enterprises and researchers who have long lacked access to frontier-scale infrastructure. Against this backdrop, India needs to develop the regulatory, tax, and competition frameworks to ensure that the foundation serves the country hosting it, rather than the company that owns it.
Beyond Compute: The Emerging Question of AI Sovereignty
The next phase of the AI race may not be defined only by who builds the most capable models, but by who governs the infrastructure, standards, and decision making systems that those models depend upon. As advances in artificial general intelligence and discussions around superintelligence move from research laboratories into policy circles, control over compute resources is becoming a matter of strategic importance comparable to control over energy reserves or communication networks. Nations that rely entirely on external providers for advanced AI infrastructure may eventually find themselves dependent not merely for technology services, but for economic productivity, public administration, healthcare delivery, and national security capabilities. For India, the challenge is therefore larger than attracting investment. It is about ensuring meaningful domestic participation in ownership, governance, talent development, and oversight so that the intelligence systems shaping the future remain aligned with national priorities and public interest.
References
Introduction
Misinformation in India has emerged as a significant societal challenge, wielding a potent influence on public perception, political discourse, and social dynamics. A potential number of first-time voters across India identified fake news as a real problem in the nation. With the widespread adoption of digital platforms, false narratives, manipulated content, and fake news have found fertile ground to spread unchecked information and news.
In the backdrop of India being the largest market of WhatsApp users, who forward more content on chats than anywhere else, the practice of fact-checking forwarded information continues to remain low. The heavy reliance on print media, television, unreliable news channels and primarily, social media platforms acts as a catalyst since studies reveal that most Indians trust any content forwarded by family and friends. It is noted that out of all risks, misinformation and disinformation ranked the highest in India, coming before infectious diseases, illicit economic activity, inequality and labour shortages. World Economic Forum analysts, in connection with their 2024 Global Risk Report, note that “misinformation and disinformation in electoral processes could seriously destabilise the real and perceived legitimacy of newly elected governments, risking political unrest, violence and terrorism and long-term erosion of democratic processes.”
The Supreme Court of India on Misinformation
The Supreme Court of India, through various judgements, has noted the impact of misinformation on democratic processes within the country, especially during elections and voting. In 1995, while adjudicating a matter pertaining to keeping the broadcasting media under the control of the public, it noted that democracy becomes a farce when the medium of information is monopolized either by partisan central authority or by private individuals or oligarchic organizations.
In 2003, the Court stated that “Right to participate by casting a vote at the time of election would be meaningless unless the voters are well informed about all sides of the issue in respect of which they are called upon to express their views by casting their votes. Disinformation, misinformation, non-information all equally create an uninformed citizenry which would finally make democracy a mobocracy and a farce.” It noted that elections would be a useless procedure if voters remained unaware of the antecedents of the candidates contesting elections. Thus, a necessary aspect of a voter’s duty to cast intelligent and rational votes is being well-informed. Such information forms one facet of the fundamental right under Article 19 (1)(a) pertaining to freedom of speech and expression. Quoting James Madison, it stated that a citizen’s right to know the true facts about their country’s administration is one of the pillars of a democratic State.
On a similar note, the Supreme Court, while discussing the disclosure of information by an election candidate, gave weightage to the High Court of Bombay‘s opinion on the matter, which opined that non-disclosure of information resulted in misinformation and disinformation, thereby influencing voters to take uninformed decisions. It stated that a voter had the elementary right to know the full particulars of a candidate who is to represent him in Parliament/Assemblies.
While misinformation was discussed primarily in relation to elections, the effects of misinformation in other sectors have also been discussed from time to time. In particular, The court highlighted the World Health Organisation’s observation in 2021 while discussing the spread of COVID-19, noting that the pandemic was not only an epidemic but also an “infodemic” due to the overabundance of information on the internet, which was riddled with misinformation and disinformation. While condemning governments’ direct or indirect threats of prosecution to citizens, it noted that various citizens who relied on the internet to provide help in securing medical facilities and oxygen tanks were being targeted by alleging that the information posted by them was false and was posted to create panic, defame the administration or damage national image. It instructed authorities to cease such threats and prevent clampdown on information sharing.
More recently, in Facebook v. Delhi Legislative Assembly [(2022) 3 SCC 529], the apex court, while upholding the summons issued to Facebook by the Delhi Legislative Assembly in the aftermath of the 2020 Delhi Riots, noted that while social media enables equal and open dialogue between citizens and policymakers, it is also a tool in the where extremist views are peddled into mainstream media, thereby spreading misinformation. It noted Facebook’s role in the Mynmar, where misinformation and posts that Facebook employees missed fueled offline violence. Since Facebook is one of the most popular social media applications, the platform itself acts as a power center by hosting various opinions and voices on its forum. This directly impacts the governance of States, and some form of liability must be attached to the platform. The Supreme Court objected to Facebook taking contrary stands in various jurisdictions; while in the US, it projected itself as a publisher, which enabled it to maintain control over the material disseminated from its platform, while in India, “it has chosen to identify itself purely as a social media platform, despite its similar functions and services in the two countries.”
Conclusion
The pervasive issue of misinformation in India is a multifaceted challenge with profound implications for democratic processes, public awareness, and social harmony. The alarming statistics of fake news recognition among first-time voters, coupled with a lack of awareness regarding fact-checking organizations, underscore the urgency of addressing this issue. The Supreme Court of India has consistently recognized the detrimental impact of misinformation, particularly in elections. The judiciary has stressed the pivotal role of an informed citizenry in upholding the essence of democracy. It has emphasized the right to access accurate information as a fundamental aspect of freedom of speech and expression. As India grapples with the challenges of misinformation, the intersection of technology, media literacy and legal frameworks will be crucial in mitigating the adverse effects and fostering a more resilient and informed society.
References
- https://thewire.in/media/survey-finds-false-information-risk-highest-in-india
- https://www.statista.com/topics/5846/fake-news-in-india/#topicOverview
- https://www.weforum.org/publications/global-risks-report-2024/digest/
- https://main.sci.gov.in/supremecourt/2020/20428/20428_2020_37_1501_28386_Judgement_08-Jul-2021.pdf
- Secretary, Ministry of Information & Broadcasting, Govt, of India and Others v. Cricket Association of Bengal and Another [(1995) 2 SCC 161]
- People’s Union for Civil Liberties (PUCL) v. Union of India [(2003) 4 SCC 399]
- Kisan Shankar Kathore v. Arun Dattatray Sawant and Others [(2014) 14 SCC 162]
- Distribution of Essential Supplies & Services During Pandemic, In re [(2021) 18 SCC 201]
- Facebook v. Delhi Legislative Assembly [(2022) 3 SCC 529]
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The Equitable Growth Approach of AI and Digital Twins
Digital Twins can be simply described as virtual replicas of physical assets or systems, powered by real-time data and advanced simulations. When this technology is combined with AI, the impact it has on enabling real-time monitoring, predictive maintenance, optimised operations, and improved design processes through the creation of virtual replicas of physical assets becomes even greater. The greatest value of AI is its ability to make data actionable. And when combined with digital twins, these data can be collated, analysed, inefficiencies removed, and better decisions can be taken to improve efficiency and quality.
This intersection between AI and Digital Twins holds immense potential for addressing key challenges, particularly in countries like India, which is rapidly embracing digital adoption to achieve its economic ambitions and sustainability goals. According to Salesforce’s most recent survey on generative AI use among the general population within the U.S., UK, Australia and India, 75% of generative AI users are looking to automate repetitive tasks and use generative AI for work communications. India is particularly looking towards a rapid digital adoption, economic ambitions, and sustainable developments to be achieved through AI adoption. This blog discuss the intersection of equitable growth, sustainability, and AI-driven policies in India.
Sustainability and the Path Ahead: Digital Twin and AI-Driven Solutions
India faces sustainability challenges which are mainly associated with issues such as urban congestion, the rising demand for energy along with climate change and environmental degradation. AI and Digital Twins provide solutions for real-time simulations and predictive analysis. Some of the examples are its applications in sustainable urban planning such as smart cities like the Indore Smart City Initiative and traffic optimisation, energy efficiency/optimisation through AI-driven renewable energy projects and power grid optimisation and even water resource management through leak detection, equitable distribution and conservation.
The need is to balance innovation with regulation, particularly, underscoring the importance of ethical and sustainable deployment of AI and digital twins and addressing data privacy with AI ethics with recent developments such as the India’s evolving AI policy landscape, including the National Strategy for Artificial Intelligence and its focus on AI for All, regulatory frameworks such as DPDP Act and the manner in which they address AI ethics, data privacy, and digital governance.
The need is to initiate targeted policies that promote research and development in AI and digital twin technologies, skill development and partnerships with the private sector, think tanks, nonprofits and others. Also, collaborations at the global level would include aligning our domestic policies with global AI and sustainability initiatives and leveraging the international frameworks for climate tech and smart infrastructure.
Cyberpeace Outlook
As part of specific actions, policymakers need to engage in proactive governance to ensure the responsible use and development of AI. This includes enacting incentive schemes for sustainable AI projects and strengthening the enforcement of data privacy laws. Industry leaders must support equitable access to AI and digital twin technologies and develop tailored AI tools for resource-constrained settings, particularly in India. Finally, researchers need to drive innovation in alignment with sustainability goals, such as those related to agriculture and groundwater management.
References
- https://economictimes.indiatimes.com/tech/artificial-intelligence/technologies-like-ai-and-digital-twins-can-tackle-challenges-like-equitable-growth-to-sustainability-wef/articleshow/117121897.cms
- https://www.salesforce.com/news/stories/generative-ai-statistics/
- https://www.mdpi.com/2673-2688/4/3/38
- https://www.ibm.com/think/topics/generative-ai-for-digital-twin-energy-utilities
