#FactCheck-Old Parliament Video Falsely Shared as Kangana Ranaut Backing CJP Protest
Executive Summary
A video from the Parliament complex is being widely shared on social media with the claim that Bharatiya Janata Party (BJP) MP Kangana Ranaut has come out in support of the ongoing Cockroach Janata Party (CJP)-led protest at Delhi’s Jantar Mantar. The viral post claims that Ranaut can be seen raising slogans in support of the protesters. CyberPeace Research Wing’s research found the claim to be misleading. The viral footage is not related to the ongoing CJP protest. It dates back to April 2026, when BJP women MPs staged a demonstration outside Parliament after the 131st Constitutional Amendment Bill failed to pass. The old video is now being falsely linked to the current protest.
Claim:
On July 20, 2026, an X (formerly Twitter) user shared the viral video claiming that “BJP MP Kangana Ranaut has now started protesting against her own party.”
The post link, archive link and screenshot are provided below.
https://x.com/Kshivasp_IND/status/2079215438664233391
Fact Check:
To verify the claim, the Desk extracted keyframes from the viral video and conducted a reverse image search using Google Lens. This led to the same video uploaded on the Instagram account ashutoshjourno on April 17, 2026. The caption accompanying the post read, “Aaj Makar Dwar ka nazara alag tha” (The scene at Makar Dwar was different today).
https://www.instagram.com/reels/DXPQoIAiQ3L/
In the next stage of the research, the Desk carried out a keyword search based on the clues obtained from the Instagram post. This led to a Zee News report published on April 17, 2026, which reported that NDA MPs staged a protest outside Parliament after the 131st Constitutional Amendment Bill failed to pass. The visuals in the report matched those seen in the viral video.
https://www.instagram.com/reels/DXPL4tOky5P/
Conclusion:
CyberPeace Research Wing’s research found the viral claim to be misleading. The video is unrelated to the ongoing CJP protest at Jantar Mantar. It was recorded in April 2026, when BJP women MPs protested outside Parliament following the failure of the 131st Constitutional Amendment Bill to pass. The old footage is now being falsely shared as a recent video of Kangana Ranaut supporting the CJP protest.
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Introduction
Children today are growing up amidst technology, and the internet has become an important part of their lives. The internet provides a wealth of recreational and educational options and learning environments to children, but it also presents extensively unseen difficulties, particularly in the context of deepfakes and misinformation. AI is capable of performing complex tasks in a fast time. However, misuse of AI technologies led to increasing cyber crimes. The growing nature of cyber threats can have a negative impact on children wellbeing and safety while using the Internet.
India's Digital Environment
India has one of the world's fastest-growing internet user bases, and young netizens here are getting online every passing day. The internet has now become an inseparable part of their everyday lives, be it social media or online courses. But the speed at which the digital world is evolving has raised many privacy and safety concerns increasing the chance of exposure to potentially dangerous content.
Misinformation: The raising Concern
Today, the internet is filled with various types of misinformation, and youngsters are especially vulnerable to its adverse effects. With the diversity in the language and culture in India, the spread of misinformation can have a vast negative impact on society. In particular, misinformation in education has the power to divulge young brains and create hindrances in their cognitive development.
To address this issue, it is important that parents, academia, government, industry and civil society start working together to promote digital literacy initiatives that educate children to critically analyse online material which can ease navigation in the digital realm.
DeepFakes: The Deceptive Mirage:
Deepfakes, or digitally altered videos and/or images made with the use of artificial intelligence, pose a huge internet threat. The possible ramifications of deepfake technology are concerning in India, since there is a high level of dependence on the media. Deepfakes can have far-reaching repercussions, from altering political narratives to disseminating misleading information.
Addressing the deepfake problem demands a multifaceted strategy. Media literacy programs should be integrated into the educational curriculum to assist youngsters in distinguishing between legitimate and distorted content. Furthermore, strict laws as well as technology developments are required to detect and limit the negative impact of deepfakes.
Safeguarding Children in Cyberspace
● Parental Guidance and Open Communication: Open communication and parental guidance are essential for protecting children's internet safety. It's a necessity to have open discussions about the possible consequences and appropriate internet use. Understanding the platforms and material children are consuming online, parents should actively participate in their children's online activities.
● Educational Initiatives: Comprehensive programs for digital literacy must be implemented in educational settings. Critical thinking abilities, internet etiquette, and knowledge of the risks associated with deepfakes and misinformation should all be included in these programs. Fostering a secure online environment requires giving young netizens the tools they need to question and examine digital content.
● Policies and Rules: Admitting the threats or risks posed by misuse of advanced technologies such as AI and deepfake, the Indian government is on its way to coming up with dedicated legislation to tackle the issues arising from misuse of deepfake technology by the bad actors. The government has recently come up with an advisory to social media intermediaries to identify misinformation and deepfakes and to make sure of the compliance of Information Technology (IT) Rules 2021. It is the legal obligation of online platforms to prevent the spread of misinformation and exercise due diligence or reasonable efforts are made to identify misinformation and deepfakes. Legal frameworks need to be equipped to handle the challenges posed by AI. Accountability in AI is a complex issue that requires comprehensive legal reforms. In light of various cases reported about the misuse of deepfakes and spreading such deepfake content on social media, It is advocated that there is a need to adopt and enforce strong laws to address the challenges posed by misinformation and deepfakes. Working with technological companies to implement advanced content detection tools and ensuring that law enforcement takes swift action against those who misuse technology will act as a deterrent among cyber crooks.
● Digital parenting: It is important for parents to keep up with the latest trends and digital technologies. Digital parenting includes understanding privacy settings, monitoring online activity, and using parental control tools to create a safe online environment for children.
Conclusion
As India continues to move forward digitally, protecting children in cyberspace has become a shared responsibility. By promoting digital literacy, encouraging open communication and enforcing strong laws, we can create a safer online environment for younger generations. Knowledge, understanding, and active efforts to combat misinformation and deeply entrenched myths are the keys to unlocking the safety net in the online age. Social media Intermediaries or platforms must ensure compliance under IT Rules 2021, IT Act, 2000 and the newly enacted Digital Personal Data Protection Act, 2023. It is the shared responsibility of the government, parents & teachers, users and organisations to establish safe online space for children.
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Introduction
Microchips are the invisible foundation of the modern economy. From consumer electronics and automotive manufacturing to military defense and artificial intelligence, virtually every critical industry relies on semiconductor supply chains. Yet, despite their ubiquity, chip manufacturing remains one of the most complex and concentrated supply networks on the planet. This explainer breaks down the global semiconductor ecosystem: how chips are produced, where the primary vulnerabilities lie, and why control over silicon has become the defining geopolitical battleground of our time.
A Chip Crosses More Borders Than Most People Do
Chipmaking is a relay race across continents. Engineers design the layout, then factories carve it onto silicon wafers so precisely that a particle of dust can ruin a batch. A single chip may be designed in the United States, made in Taiwan on Dutch equipment, assembled in Malaysia or Vietnam, and soldered in China or India. Thus, the entire link in the chain is vulnerable, and the failure of one weak element will lead to the stoppage of the entire chain. The forecast for the industry in 2021 was complicated by pandemic-related constraints and record demand, resulting in the disruption of automakers’ production costs by $210 billion and the loss of 7.7 million vehicles, according to AlixPartners
The Geography of Silicon Power
Manufacturing clusters in East Asia: Taiwan is focused on advanced manufacturing, South Korea – on memory (Samsung, SK Hynix), Japan – on chemicals and equipment. South Korea is ready to double its DRAM production in 2026 by increasing it 5 times than 2025. China is seeking to reduce its dependence on imports, but it is not as far along in advanced manufacturing as many analysts believe. The US holds much of the underlying IP but manufactures a smaller share of it — TSMC's Arizona campus shows the shift, growing from $12 billion to over $165 billion, with a further $100 billion expansion announced in mid-2026 that could push the total to $265 billion, potentially the largest foreign direct investment in US history.
Foundry, Fabless, or Both?
The semiconductor industry runs on three primary business models:
- Fabless (Design-Only): Companies like NVIDIA, AMD, and Qualcomm focus exclusively on architecture, intellectual property, and circuit design. They outsource all physical fabrication to specialised manufacturers, which helps them stay agile.
- Pure-Play Foundries (Manufacturing-Only): Dedicated contract manufacturers, most prominently TSMC (Taiwan Semiconductor Manufacturing Company), take designs from fabless firms and produce the physical wafers. They invest billions annually in advanced lithography and don’t compete in product design.
- Integrated Device Manufacturers (IDMs): Legacy companies like Intel and Samsung manage the entire lifecycle, from designing and fabricating to packaging their own chips. However, maintaining both cutting-edge design and manufacturing capabilities has become more and more difficult, leading IDMs to adopt hybrid foundry strategies.
Advanced Packaging: The New Frontier
For decades, the primary driver of semiconductor performance was Moore’s Law: shrinking transistor dimensions on a single silicon die. But physical limitations are making traditional scaling prohibitively expensive, making the industry shift its focus to Advanced Packaging. Techniques like 2.5D and 3D stacking combine multiple chips with short, dense wiring, boosting speed and efficiency without shrinking transistors, which are crucial for AI hardware. TSMC's CoWoS platform is now considered as critical as fabrication itself, with demand regularly outpacing supply. Because packaging needs far less capital than a leading-edge fab, more countries are racing to build local packaging capacity.
Who Actually Runs This Industry
A few companies dominate the market. TSMC is the biggest contract manufacturer of chips, while Samsung is both a designer and a manufacturer. Intel is re-establishing its foundry business, while Nvidia has taken over the market for AI and graphics processing units. Qualcomm and MediaTek dominate the market for mobile phone chips, and AMD competes in the personal computer market. Finally, there is one tiny Dutch company, ASML, which has a monopoly on the most advanced lithography tools, called extreme ultraviolet, or EUV. Each such machine costs more than $15 billion, so there is no real competition for now. Broadcom, Micron, and SK Hynix are other important players, as they are major suppliers of memory chips for computers and cars, as well as AI chips.
Where Things Are Headed
AI remains central, pushing advanced packaging and high-bandwidth memory to the top of every strategy; SEMI projects 300mm memory equipment investment will exceed $50 billion in 2026. Trade policy now matters as much as technology. In January 2026, the U.S. imposed a 25 per cent tariff on advanced semiconductors and began applying case-by-case reviews to previously near-automatic rejections of requests for Chinese firms to buy state-of-the-art chips for use in artificial intelligence computers. The U.S. is incentivizing Taiwanese manufacturers to make semiconductors in America while South Korea, Japan, and the European Union have made efforts to encourage investment in their own display technology. According to an article from Bloomberg published in July 2026, new fabrication plants face a danger of being delayed for years due to a shortage of skilled workers, resulting in billions of dollars wasted on investments.
Conclusion
Ultimately, semiconductors represent the ultimate convergence of technology, commerce, and geopolitics. A single speck of silicon now carries the weight of global GDP, national security, and the future of artificial intelligence. As trade barriers rise and supply chains re-align, control over these micro-foundations will decide which economies lead and which get left behind. The next decade will be won by mastering advanced packaging, talent management, and forging strategic alliances.
References
AlixPartners. "Semiconductor Shortages to Cost the Auto Industry Billions." September 2021
TSMC. "TSMC Arizona." Company overview
World Semiconductor Trade Statistics (WSTS). "Global Semiconductor Market Surges Beyond $1.5T 2026."
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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.
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