#FactCheck- AI-Generated Deepfake Falsely Shows Lt Gen Devendra Sharma Speaking About Missing Aviators in Operation Sindoor

Most laws regulate what people do. This one regulates what clock everyone is doing it by, and once you sit with that idea for a moment, it stops sounding like a bureaucratic footnote and starts sounding like something genuinely foundational.

On 27 August 2026, India's Department of Consumer Affairs notified the Legal Metrology (Indian Standard Time) Rules, 2026, making Indian Standard Time the single legally binding reference for every legal, administrative, commercial, and official purpose across the country. The Rules will come into force 180 days after their publication in the Official Gazette, giving government departments, businesses, and institutions a compliance runway to align their systems before the requirement actually bites.

Why time needed a law at all

It might seem strange that a country needs legislation to tell everyone what time it is. India has used IST, a single time zone five and a half hours ahead of Coordinated Universal Time, since 1947. But using a time zone informally and legally mandating it as the sole authoritative reference for every official and commercial transaction are two very different things, and the gap between them is exactly where this rule lives.

The government's own reasoning, laid out in its official statement, centres on a shift most people experience daily without ever thinking about its plumbing. Banking and digital payments, telecommunications networks, railways, power grids, and government record systems all depend on accurate, synchronised time stamps to function correctly. When different systems quietly draw their time from different sources, even by fractions of a second, the resulting inconsistencies can affect the coordination and recording of transactions in ways that are invisible until something goes wrong. A trade executed on a stock exchange, a UPI payment cleared between banks, a railway signal handoff between two junctions, and an emergency service dispatch all depend on every clock in the chain agreeing with every other clock, and until now, India had no single rule compelling that agreement.

The quieter, more interesting part of the rule

Buried inside the announcement is a detail that matters more than the headline. The Rules do not simply declare IST the law of the land; they also authorise the use of NavIC, India's own satellite navigation system, alongside other approved domestic timing sources, as legitimate means of disseminating that time. The government's stated rationale is candid about the current state of affairs: several critical Indian systems presently draw their time from foreign satellite based sources, and building domestic timing infrastructure through NavIC and legal metrology laboratories is intended to reduce that dependence going forward.

That single sentence carries real weight once you consider how global positioning and timing systems actually work. Most of the world's precise digital time synchronisation ultimately traces back to GPS, the American satellite constellation, whose signals also happen to be notoriously easy to disrupt. GPS and other satellite navigation signals arrive at receivers on Earth as extremely weak radio transmissions, weak enough that they can be jammed with cheap equipment or spoofed, meaning an attacker broadcasts a counterfeit signal that mimics a legitimate one closely enough to fool a receiver into accepting false position or timing data. Researchers and government reports going back years have flagged that a large share of critical infrastructure sectors, power grids, financial markets, telecommunications, and transport among them, carry meaningful dependence on GPS derived timing, and a 2017 UK government assessment specifically warned that systematic satellite signal jamming could cause serious disruption to a country's financial, electricity, and communications systems all at once. Cybersecurity researchers have separately demonstrated proof of concept attacks where a deliberately falsified timing signal, rather than a falsified position, was enough to destabilise systems that assumed their clock could always be trusted.

Seen against that backdrop, embedding NavIC as an approved domestic timing source inside a legal metrology framework is not merely a nationalistic footnote about self reliance. It is a genuine resilience decision. A country that can generate, verify, and distribute its own trusted time signal, independent of a foreign satellite constellation that it does not control and cannot secure on its own, has a meaningfully smaller attack surface for an entire category of infrastructure disruption that rarely makes headlines until it actually happens.

Who actually built this, and why that composition matters

The drafting process itself offers a useful clue about how seriously this was treated. Reports on the rule making process indicate the Rules were shaped by a high powered inter ministerial committee chaired by the Secretary of Consumer Affairs, with representation from the National Physical Laboratory and the Indian Space Research Organisation for the underlying science and satellites, IIT Kanpur for engineering expertise, the National Informatics Centre and CERT In for network infrastructure and its security, the Securities and Exchange Board of India for financial market implications, and the Railways, Telecom, and Financial Services departments for the systems that will actually have to run on this new standard day to day. That is not a committee assembled around a single ministry's convenience; it is a committee assembled around the actual shape of the problem, spanning physics, engineering, finance, and network security together. As part of the broader One Nation, One Time initiative, a White Rabbit Technology based IST Dissemination Demonstration Network was already commissioned at the Regional Reference Standard Laboratory in Bengaluru back in July 2026, suggesting the infrastructure groundwork was underway well before the legal framework caught up to it.

What the 180 day window actually means in practice

It is worth being precise about what compliance actually requires here. This is not a deadline demanding new hardware overnight; for most organisations, it means auditing which internal systems currently reference time from an unverified or foreign source and ensuring they align with certified IST going forward, alongside institutions preparing to receive that certified time through the domestic infrastructure the government is simultaneously building out. The six month runway exists precisely because this touches an unusually wide spread of sectors at once, and forcing an abrupt cutover would create more operational risk than the rule is designed to remove.

The bigger picture

A rule about what time it is legally does not sound like cybersecurity news, and on the surface, it is not. But underneath the administrative language sits a genuinely forward looking recognition: as more of daily life, banking, communication, transport, and governance runs on systems that must agree, down to the second, on a shared reference point, the integrity of that reference point becomes critical infrastructure in its own right. India choosing to build, verify, and legally anchor its own trusted time source, rather than continuing to quietly rely on a foreign satellite system it cannot secure independently, is less about symbolism and more about closing a vulnerability most people never knew existed until they were asked to think about it.

References

1. OpenGov Asia, "India Issues Rules to Standardise National Time Reference Systems." https://opengovasia.com/india-issues-rules-to-standardise-national-time-reference-systems/?c=us
2. Daily Excelsior, "Centre notifies rules mandating IST as common time reference; 180 day window for compliance." https://www.dailyexcelsior.com/centre-notifies-rules-mandating-ist-as-common-time-reference-180-day-window-for-compliance/
3. Greater Kashmir, "Department of Consumer Affairs notifies Legal Metrology Rules, 2026." https://www.greaterkashmir.com/national/department-of-consumer-affairs-notifies-legal-metrology-rules-2026-12454447
4. Insights on India, "Legal Metrology (Indian Standard Time) Rules, 2026." https://www.insightsonindia.com/2026/08/31/legal-metrology-indian-standard-time-rules-2026/
5. Blitz India Media, "Indian Standard Time Rules 2026: NavIC, Legal Metrology." https://blitzindiamedia.com/news/indian-standard-time-rules-2026-navic-legal-metrology/
6. Observer Voice, "India Establishes Legal Framework for Standard Time." https://observervoice.com/india-establishes-legal-framework-for-standard-time-225958/
7. The Live Nagpur, "Govt notifies rules to make IST the common time reference." https://thelivenagpur.com/2026/08/31/govt-notifies-rules-to-make-ist-the-common-time-reference/
8. Safran Navigation and Timing, "GNSS Security and Cybersecurity: What are the Parallels?" https://safran-navigation-timing.com/gnss-security-and-cybersecurity-what-are-the-parallels/
9. Safran Navigation and Timing, "Securing Critical Infrastructures from Jamming and Spoofing Cyberattacks." https://safran-navigation-timing.com/securing-critical-infrastructures-from-jamming-and-spoofing-cyberattacks/
10. Combain, "The Silent Threat In The Sky: GPS Jamming, GPS Spoofing." https://combain.com/gps-jamming-spoofing/

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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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Executive Summary
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A video is being widely shared on social media showing a police officer driving an e-rickshaw, while two other policemen are seen in the back seat. Users sharing the clip claim that, due to a shortage of petrol, this is a new initiative by the Uttar Pradesh Police. However, research by CyberPeace found the viral claim to be false. Our research also confirms that the video is not real but AI-generated.

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Claim

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An Instagram user shared the viral video claiming that due to fuel shortages, Uttar Pradesh Police has started patrolling using e-rickshaws.

• Post link: https://www.instagram.com/reel/DWepKWXAeiE/ 
• Archive: https://archive.ph/QBNXs 

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Fact Check

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To verify the claim, we first conducted a keyword search on Google but found no credible media reports supporting this claim.

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Next, we extracted keyframes from the viral video and performed a reverse image search using Google Lens. During this process, we found the same video uploaded on an Instagram channel on March 28, 2026. The uploader clearly mentioned that the video was created purely for entertainment purposes.
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• Link: https://www.instagram.com/reel/DWa0z-vjbq6/‍

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We further analyzed the video using AI detection tools. When scanned with Hive Moderation, the results indicated that the video is approximately 94% AI-generated.

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In the next step, we also tested the clip using DeepAI. According to its analysis, the video is about 97% AI-generated.

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Conclusion

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Our research clearly shows that the viral video is not authentic. It is an AI-generated clip created for entertainment purposes, and the claim that Uttar Pradesh Police has started e-rickshaw patrolling due to petrol shortage is false.

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