#FactCheck -AI-Generated Video Falsely Shows Car Stuck on Delhi–Jaipur Highway Signboard

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).

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Claim

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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.”

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• Post link: https://x.com/rajgarh_mamta1/status/2026696175311786408?s=20
• Archived link: https://perma.cc/22AA-KBS4

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Fact Check:

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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.

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Another AI detection tool, Undetectable.ai, suggested a 77 percent probability that the video was AI-generated.

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Conclusion

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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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Amid the popularity of OpenAI’s ChatGPT and Google’s announcement of introducing its own Artificial Intelligence chatbot called Bard, there has been much discussion over how such tools can impact India at a time when the country is aiming for an AI revolution.

During the Budget Session, Finance Minister Nirmala Sitharaman talked about AI, while her colleague, Minister of State (MoS) for Electronics and Information Technology Rajeev Chandrasekhar discussed it at the India Stack Developer Conference.

While Sitharaman stated that the government will establish three centres of excellence in AI in the country, Chandrashekhar at the event mentioned that India Stack, which includes digital solutions like Aadhaar, Digilocker and others, will become more sophisticated over time with the inclusion of AI.

As AI chatbots become the buzzword, News18 discusses with experts how such tech tools will impact India.

AI IN INDIA

Many experts believe that in a country like India, which is extremely diverse in nature and has a sizeable population, the introduction of technologies and their right adoption can bring a massive digital revolution.

For example, Manoj Gupta, Cofounder of Plotch.ai, a full-stack AI-enabled SaaS product, told News18 that Bard is still experimental and not open to everyone to use while ChatGPT is available and can be used to build applications on top of it.

He said: “Conversational chatbots are interesting since they have the potential to automate customer support and assisted buying in e-commerce. Even simple banking applications can be built that can use ChatGPT AI models to answer queries like bank balance, service requests etc.”

According to him, such tools could be extremely useful for people who are currently excluded from the digital economy due to language barriers.

Ashwini Vaishnaw, Union Minister for Communications, Electronics & IT, has also talked about using such tools to reduce communication issues. At World Economic Forum in Davos, he said: “We integrated our Bhashini language AI tool, which translates from one Indian language to another Indian language in real-time, spoken and text everything. We integrated that with ChatGPT and are seeing very good results.”

‘DOUBLE-EDGED SWORD’

Sundar Balasubramanian, Managing Director, India & SAARC, at Check Point Software, told News18 that generative AI like ChatGPT is a “double-edged sword”.

According to him, used in the right way, it can help developers write and fix code quicker, enable better chat services for companies, or even be a replacement for search engines, revolutionising the way people search for information.

“On the flip side, hackers are also leveraging ChatGPT to accelerate their bad acts and we have already seen examples of such exploitations. ChatGPT has lowered the bar for novice hackers to enter the field as they are able to learn quicker and hack better through asking the AI tool for answers,” he added.

Balasubramanian also stated that CPR has seen the quality of phishing emails improve tremendously over the past 3 months, making it increasingly difficult to discern between legitimate sources and a targeted phishing scam.

“Despite the emergence of the use of generative AI impacting cybercrime, Check Point is continually reminding organisations and individuals of the significance of being vigilant as ChatGPT and Codex become more mature, it can affect the threat landscape, for both good and bad,” he added.

While the real-life applications of ChatGPT include several things ranging from language translation to explaining tricky math problems, Balasubramanian said it can also be used for making the work of cyber researchers and developers more efficient.

“Generative AI or tools like ChatGPT can be used to detect potential threats by analysing large amounts of data and identifying patterns that may indicate malicious activity. This can help enterprises quickly identify and respond to a potential threat before it escalates to something more,” he added.

POSITIVE FACTORS

Major Vineet Kumar, Founder and Global President of CyberPeace Foundation, believes that the deployment of AI chatbots has proven to be highly beneficial in India, where a booming economy and increasing demand for efficient customer service have led to a surge in their use. According to him, both ChatGPT and Bard have the potential to bring significant positive change to various industries and individuals in India.

“ChatGPT has already made an impact by revolutionising customer service, providing instant and accurate support, and reducing wait time. It has automated tedious and complicated tasks for businesses and educational institutions, freeing up valuable time for more significant activities. In the education sector, ChatGPT has also improved learning experiences by providing quick and reliable information to students and educators,” he added.

He also said there are several possible positive impacts that the AI chatbots, ChatGPT and Bard, could have in India and these include improved customer experience, increased productivity, better access to information, improved healthcare, improved access to education and better financial services.

Reference Link : https://www.news18.com/news/explainers/confused-about-chatgpt-bard-experts-tell-news18-how-openai-googles-ai-chatbots-may-impact-india-7026277.html

Introduction
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The rapid adoption of artificial intelligence (AI) tools and applications in companies has been largely presented as a groundbreaking development for enterprises. The potential for increased productivity and efficiently scaled companies eliminates repetitive tasks and builds a narrative that practically writes itself for executives. What has largely been ignored, however, is its effect on its users- the employees.  Evidence from across the United States, United Kingdom, and continental Europe indicates an increase in psychological disengagement from work, along with an increase in the number of people who are actively sabotaging the very systems that companies have invested millions of dollars to implement, as a direct result of being forced to work with AI. 

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The Backdrop: Quiet Quitting
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Quiet quitting is a form of employee disengagement  wherein workers meet only the basic expectations of their job without. Gallup puts global employee engagement at just 21%. State of the Global Workplace 2026 report which analysed employee well-being across 160 countries reports that in India,  employee and manager engagement has declined. Around 62% of workers describe themselves as not engaged, and another 17% are actively disengaged — not just drifting, but potentially pulling in the opposite direction. What does this mean for productivity? Gallup estimates this costs the global economy roughly $8.9 trillion in lost productivity each year, around 9% of world GDP. This is the workplace AI has entered into. 

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How AI Is Changing the Nature of Work

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The promise was simpler work but employees report that the reality is often more of it. AI raises output expectations without necessarily reducing effort. Workers now lose the equivalent of 51 working days per year to technology friction, nearly two full months up 42% from 2025. Poorly integrated systems force employees to spend hours troubleshooting or correcting AI-generated outputs, adding cognitive load rather than removing it. Focus efficiency dropped to a three-year low of 60%, as collaboration time surged 34% and multitasking climbed 12%. AI is not eliminating work. It is transforming it into something more demanding and more fragmented. The psychological dimension is equally documented. TalentLMS research found that 54% of employees report persistent workplace unhappiness, with one in five experiencing it frequently or constantly. 29% report unmanageable workloads during this transition, and 15% do not clearly understand their role expectations in an AI-transformed workplace. When workers cannot see where they fit, withdrawal is a rational response.

Then there is the fear. IBM announced it would not replace roughly 7,800 back-office positions that could be handled by AI, framing it as natural attrition. Klarna said its AI assistant was doing the work of 700 full-time customer service agents. Dropbox laid off 16% of its workforce, with its CEO explicitly citing the need to “make room for AI.” AI was the leading cause of job cuts in March 2026  the first time that has happened since tracking began. 

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The Causal Link: AI Anxiety to Quiet Quitting
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A peer-reviewed study published in March 2025 establishes the causal mechanism between forced AI adoption and employee disengagement. Conducted across 457 employees in Turkish SMEs, it found that AI anxiety does not directly compel people to resign. Instead, it triggers quiet quitting a form of progressive disengagement that functions as a precursor to departure. Drawing on Withdrawal Progression Theory, the study frames quiet quitting as a preliminary stage of turnover intention, where withdrawal progresses from mild detachment toward eventual exit. The integrated causal chain runs as follows: forced AI adoption creates work intensification and job anxiety, which produce burnout and loss of autonomy, which trigger psychological withdrawal, which precedes turnover. DHR Global’s Workforce Trends Report for 2026 found that overall employee engagement dropped from 88% to 64% in a single year. Crucially, 69% of C-suite leaders say their company has communicated clearly about AI’s impact on jobs but only 12% of entry-level staff agree. When the people most exposed to displacement are also the least informed about what is happening to their roles, disengagement is not a mystery. It is a response to a vacuum of information.

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From Disengagement to Active Withdrawal
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Quiet quitting is then a natural response. But what has emerged alongside it is something more active, and it is where the disengagement crisis tips into something organisations are unprepared for. The Writer and Workplace Intelligence survey of 2,400 knowledge workers found that 29% of employees admit to willfully withdrawing from their company’s AI strategy. Among Gen Z workers, that figure jumps to 44%. Active withdrawal takes several forms: entering proprietary data into public AI chatbots, using unapproved tools, outright refusing to engage with mandated platforms, and in some cases deliberately generating low-quality outputs to make the technology look ineffective. For Gen Z, the resistance has a structural logic. Junior roles in finance, law, and tech the traditional “learning by doing” rungs of the career ladder have declined by 32% since 2022. For a 22-year-old, AI is not a tool; it is a competitor that has already taken their first job. Workers who resist AI out of fear for their jobs are making themselves more vulnerable to the outcome they dread. 77% of executives say employees who refuse to become proficient in AI will not be considered for promotions or leadership roles, and 60% are considering cutting those who refuse to adopt it entirely.

Meanwhile, 75% of executives admit their company’s AI strategy is “more for show” than a meaningful guide to outcomes. Only 29% report significant ROI from generative AI, despite 97% claiming to have already deployed agents across their organisation. 39% of business leaders admit they made employees redundant as a result of deploying AI of whom 55% concede they made the wrong decisions about those redundancies. Organisations are moving fast, getting it wrong, and the cost is being absorbed by the workforce.

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Conclusion
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AI is not directly causing quiet quitting. However, AI is changing how we view working relationships; it will continue to result in predictable outcomes of poor execution of AI (i.e. passive to active disengagement) and radically change the way that we work, primarily by creating an increase in job demands, reducing autonomy, and  raising worker anxiety without providing any transparency about future AI technology use.  If AI continues to create a challenging work environment, it may lead to increased psychological detachment from work and ultimately result in productivity losses, possibly canceling out the very gains expected from AI integration. This globally rising disengagement from AI tools begets the question: is technology being deployed responsibly? 

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References 
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1. https://www.gallup.com/workplace/349484/state-of-the-global-workplace.aspx 
2. https://www.walkme.com/news-releases/enterprises-lose-51-workdays-per-employee-to-technology-friction-annually-despite-record-ai-investment-walkme-global-study-of-3750-finds/.  
3. https://www.activtrak.com/resources/state-of-the-workplace/ 
4. https://peoplemanagingpeople.com/employee-retention/quiet-cracking/ 
5. https://www.webpronews.com/the-quiet-revolt-gen-z-workers-are-deliberately-undermining-ai-deployments-from-the-inside/ 
6. https://www.uctoday.com/productivity-automation/44-of-gen-z-workers-are-sabotaging-your-enterprise-ai-rollout-the-problem-isnt-gen-z/ 
7. https://pmc.ncbi.nlm.nih.gov/articles/PMC11939379/ 
8. https://huntscanlon.com/workforce-trends-2026-leaders-confront-burnout-disengagement-and-ai-driven-change/ 
9. https://fortune.com/2026/04/08/gen-z-workers-sabotage-ai-rollout-backlash/  
10. https://peoplemanagingpeople.com/employee-retention/quiet-cracking/
11. https://www.hrgrapevine.com/us/content/article/2026-04-09-ai-adoption-is-tearing-companies-apart-says-new-report 
12. https://economictimes.indiatimes.com/news/new-updates/india-leads-in-workplace-disengagement-as-quiet-quitting-trend-rises-why-are-indians-mentally-checking-out-at-jobs/articleshow/130104773.cms?from=mdr 

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