#FactCheck: Fake Claim that US has used Indian Airspace to attack Iran

At Semicon India 2025 held recently, the Prime Minister declared, “when the chips are down, you can bet on India”.  The event showcased the country’s first indigenous microprocessor, Vikram, developed by ISRO’s Semiconductor Lab, and announced that commercial chip production will begin by the end of 2025. India aims to become a global player in semiconductor production, and build self-reliance in a world where global supply chains are shifting rapidly. 

Why Semiconductors Matter

Semiconductors power almost everything around us, from laptops and air conditioners to cars and even the tiniest gadget we hardly notice . They’ve rightly been called the “oil of the digital age” because our entire digital world depends on them. But the global supply chain for chips is heavily concentrated. Taiwan alone makes over 60% of the world’s semiconductors and nearly 90% of the most advanced ones. Rising tensions between China and Taiwan have only shown how fragile and risky this dependence can be for the rest of the world. For India, building its own semiconductor base is not just about technology, it is about economic security and reduced dependence on imports.

India’s Push: The Numbers and Projects

The government has committed nearly US$18 billion across 10 projects, making it one of the country’s largest industrial bets in decades. Under the Production Linked Incentive (PLI) scheme, ₹76,000 crore (about US$9.1 billion) was set aside, of which most has already been allocated.

Key developments include:

• Vikram processor – developed at ISRO’s Semiconductor Lab, fabricated on 180nm technology.
• CG Power facility in Sanand, Gujarat – launched in 2024, scaling chip assembly and testing.
• Micron’s investment – ₹22,500+ crore in Gujarat for packaging and testing.
• Tata Electronics–PSMC partnership – ₹91,000 crore tie-up with Taiwan’s Powerchip for fabs.

The domestic market, valued at US$38 billion in 2023, is expected to touch US$100–110 billion by 2030 if growth sustains.

The Technology Gap

While the Vikram chip, a 32 bit microprocessor, is a proud milestone, it highlights the technology gap  India faces. The chip was fabricated using a 180nm CMOS process, a process that was cutting-edge back in the early 2000s. Today, companies like TSMC and Samsung are already producing 3nm chips for smartphones and AI servers, whereas those like Nvidia and Apple have developed chips 2ith 64-bit processing capabilities.

This means India's main focus, to become self-reliant in the mature end of the spectrum useful for space, defense, and automotives and electronics, is far from the global cutting edge. Bridging this gap will require both time and deep technical expertise.

Talent and Design Strengths

On the positive side, India already contributes around 20% of global semiconductor design talent. Two advanced design centers—one in Noida and another in Bengaluru—are working on 3nm designs. The government’s Design Linked Incentive scheme has cleared 20+ projects to nurture startups in chip design.

Over 60,000 engineers have been trained under various programs, but scaling this to the hundreds of thousands needed for fabs remains a challenge. Unlike software development, semiconductor fabrication demands highly specialised skills in process engineering, yield optimization, and supply chain logistics.

Lessons from Global Players

Countries like Taiwan, South Korea, and the US didn’t build their chip industries overnight. Taiwan’s TSMC spent decades and billions of dollars mastering yield rates and building trust with clients. The US recently passed the CHIPS and Science Act to revive domestic production, while the EU has its own Chips Act. Japan, too, has pledged billions, including ¥10 trillion in cooperation with India.

These examples show that success depends not just on funding , but also on harmony between government and private players, consistent execution, ecosystem building, and global partnerships.

The Challenges Ahead

India’s ambitions face several hurdles:

• Capital intensity – A single leading-edge fab costs US$10–20 billion, and requires constant upgrades.
• Supply chain complexity – Hundreds of chemicals, gases, and precision tools are needed, many of which India doesn’t yet produce domestically.
• Technology transfer – Advanced lithography machines (from ASML in the Netherlands, for example) are tightly controlled and not easily available.
• Execution risks – Moving from announcements to commercially viable fabs with competitive yields is where many countries have stumbled.

The Way Forward

India has big ambitions in the field of semi-conductor design and manufacturing, with the goal of becoming a major  global exporter instead of importer. The country appears to be adopting a step-by-step approach, starting with assembly, testing, and mature-node fabs, while simultaneously investing in design, research, and talent. Every successful global power in this industry first mastered older nodes before advancing to cutting-edge levels.

At the same time, international collaborations with players like Micron, Tata-PSMC, and Japan will be critical for technology transfer and capacity building. If India can combine its engineering talent, rising domestic demand, and government backing with the PLI scheme, and drive global collaborations, the outlook can be promising. 

Conclusion

India’s semiconductor story is just beginning, but the direction is clear. The Vikram processor and investment announcement at Semicon 2025 shows the intent of the government. The hard part now lies ahead: moving from prototypes to large-scale production and globally competitive fabs in an industry that demands substantial investment, flawless execution, and years of patience.

Yet the stakes couldn’t be higher. Semiconductors will shape the future of economies and national security . If India plays its cards right by nurturing talent, innovating and researching, and driving global partnerships,  the dream of becoming a global semiconductor hub may well move from ambition to reality.

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References 

• https://www.ndtv.com/india-news/when-chips-are-down-bet-on-india-pm-narendra-modis-big-semiconductor-push-6539317 
• https://www.indiatoday.in/science/story/what-is-vikram-32-bit-chip-presented-to-pm-modi-at-semicon-india-2025-2780582-2025-09-02#
• https://www.visionofhumanity.org/the-worlds-dependency-on-taiwans-semiconductor-industry-is-increasing/ 
• https://m.economictimes.com/tech/artificial-intelligence/tata-electronics-and-powerchip-semiconductor-manufacturing-corporation-to-build-indias-first-semiconductor-fab/articleshow/113694273.cms 
• https://www.business-standard.com/economy/news/10-trillion-yen-in-10-years-japan-pledges-big-investment-in-india-125082901564_1.html 
• https://www.oecd.org/content/dam/oecd/en/publications/reports/2023/06/vulnerabilities-in-the-semiconductor-supply-chain_f4de7491/6bed616f-en.pdf 
• https://techwireasia.com/2025/09/semiconductor-india-commercial-production-2025/ 

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Executive Summary
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A video circulating widely on social media claims to show a pilot of the Indian Air Force (IAF) crying and expressing fear about flying fighter jets, allegedly citing poor maintenance and frequent crashes. The clip is being linked to the crash of an IAF Sukhoi-30 fighter jet in Assam on March 5, in which two pilots lost their lives. In the viral video, a man dressed like a pilot is seen speaking emotionally, saying that flying fighter jets has become frightening due to lack of maintenance and repeated accidents. Several users are sharing the clip claiming that the man in the video is an IAF pilot revealing the reality behind aircraft crashes. However, research by the CyberPeace found the claim to be false. The video does not depict a real pilot or an actual incident. Instead, it appears to be an AI-generated clip created and circulated with the intent to spread misinformation.

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Claim:

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An Instagram user, ‘samacharsaar0’, shared the viral video on March 10, 2026, with the English caption: “2300 aircraft crashes, 1300 pilots dead: A major challenge before the IAF.”

• Source: :https://www.instagram.com/reel/DVqa4lNiYJQ 
• Archived link::https://perma.cc/EUZ8-DHE3 

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Fact Check:

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The claim was also debunked by PIB Fact Check. While verifying the viral video, PIB clarified that the clip is artificially generated and not related to any real IAF personnel.

To further verify the authenticity of the video, we analyzed it using AI detection tools. The tool Hive Moderation indicated a 99.9% probability that the video was generated using artificial intelligence.

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We also examined the clip using another AI detection platform, Undetectable. The analysis suggested an 82% likelihood that the video was created with AI tools. The tool also indicated the possibility that the footage may have been generated using the Sora AI video generation tool.

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Conclusion
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Our research  concludes that the viral video of a crying “pilot” is not authentic. The clip has been created using artificial intelligence and is being misleadingly shared as a real Indian Air Force pilot speaking about aircraft crashes. The government has also denied the claim associated with the video.

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Introduction

Advanced deepfake technology blurs the line between authentic and fake. To ascertain the credibility of the content it has become important to differentiate between genuine and manipulated or curated online content highly shared on social media platforms. AI-generated fake voice clone, videos are proliferating on the Internet and social media. There is the use of sophisticated AI algorithms that help manipulate or generate synthetic multimedia content such as audio, video and images. As a result, it has become increasingly difficult to differentiate between genuine, altered, or fake multimedia content. McAfee Corp., a well-known or popular global leader in online protection, has recently launched an AI-powered deepfake audio detection technology under Project “Mockingbird” intending to safeguard consumers against the surging threat of fabricated or AI-generated audio or voice clones to dupe people for money or unauthorisly obtaining their personal information. McAfee Corp. announced its AI-powered deepfake audio detection technology, known as Project Mockingbird, at the Consumer Electronics Show, 2024.

What is voice cloning?

To create a voice clone of anyone's, audio can be deeplyfaked, too, which closely resembles a real voice but, in actuality, is a fake voice created through deepfake technology. 

Emerging Threats: Cybercriminal Exploitation of Artificial Intelligence in Identity Fraud, Voice Cloning, and Hacking Acceleration

AI is used for all kinds of things from smart tech to robotics and gaming. Cybercriminals are misusing artificial intelligence for rather nefarious reasons including voice cloning to commit cyber fraud activities. Artificial intelligence can be used to manipulate the lips of an individual so it looks like they're saying something different, it could also be used for identity fraud to make it possible to impersonate someone for a remote verification for your bank and it also makes traditional hacking more convenient. Cybercriminals have been misusing advanced technologies such as artificial intelligence, which has led to an increase in the speed and volume of cyber attacks, and that's been the theme in recent times.

Technical Analysis

To combat Audio cloning fraudulent activities, McAfee Labs has developed a robust AI model that precisely detects artificially generated audio used in videos or otherwise.

• Context-Based Recognition: Contextual assessment is used by technological devices to examine audio components in the overall setting of an audio. It improves the model's capacity to recognise discrepancies suggestive of artificial intelligence-generated audio by evaluating its surroundings information.
• Conductual Examination: Psychological detection techniques examine linguistic habits and subtleties, concentrating on departures from typical individual behaviour. Examining speech patterns, tempo, and pronunciation enables the model to identify artificially or synthetically produced material.
• Classification Models: Auditory components are categorised by categorisation algorithms for detection according to established traits of human communication. The technology differentiates between real and artificial intelligence-synthesized voices by comparing them against an extensive library of legitimate human speech features.
• Accuracy Outcomes: McAfee Labs' deepfake voice recognition solution, which boasts an impressive ninety per cent success rate, is based on a combined approach incorporating psychological, context-specific, and categorised identification models. Through examining audio components in the larger video context and examining speech characteristics, such as intonation, rhythm, and pronunciation, the system can identify discrepancies that could be signs of artificial intelligence-produced audio. Categorical models make an additional contribution by classifying audio information according to characteristics of known human speech. This all-encompassing strategy is essential for precisely recognising and reducing the risks connected to AI-generated audio data, offering a strong barrier against the growing danger of deepfake situations.
• Application Instances: The technique protects against various harmful programs, such as celebrity voice-cloning fraud and misleading content about important subjects.

Conclusion

It is important to foster ethical and responsible consumption of technology. Awareness of common uses of artificial intelligence is a first step toward broader public engagement with debates about the appropriate role and boundaries for AI. Project Mockingbird by Macafee employs AI-driven deepfake audio detection to safeguard against cyber criminals who are using fabricated AI-generated audio for scams and manipulating the public image of notable figures, protecting consumers from financial and personal information risks. 

References:

• https://www.cnbctv18.com/technology/mcafee-deepfake-audio-detection-technology-against-rise-in-ai-generated-misinformation-18740471.htm
• https://www.thehindubusinessline.com/info-tech/mcafee-unveils-advanced-deepfake-audio-detection-technology/article67718951.ece
• https://lifestyle.livemint.com/smart-living/innovation/ces-2024-mcafee-ai-technology-audio-project-mockingbird-111704714835601.html
• https://news.abplive.com/fact-check/audio-deepfakes-adding-to-cacophony-of-online-misinformation-abpp-1654724