#FactCheck - Old Video of Khamenei Manipulated With AI Voice, Viral Claim Misleading

Introduction

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AI is transforming the way work is done and redefining the nature of jobs over the next decade. In the case of India, it is not just what duties will be taken over by machines, but how millions of employees will move to other sectors, which skills will become more sought-after, and how policy will have to change in response. This article relies on recent labour data of India's Periodic Labour Force Survey (PLFS, 2023-24) and discusses the vulnerabilities to disruption by location and social groups. It recommends viable actions that can be taken to ensure that risks are minimised and economic benefits maximised.

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India’s Labour Market and Its Automation Readiness

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According to India’s Periodic Labour Force Survey (PLFS), the labour market is changing and growing. Participation in the labour force improved to 60.1 per percent in 2023-24 versus 57.9 per cent the year before, and the ratio of the worker population also improved, signifying the increased employment uptake both in the rural and urban geographies (PLFS, 2023-24). There has also been an upsurge of female involvement. However,  a big portion of the job market has been low-wage and informal, with most of the jobs being routine and thus most vulnerable to automation. The statistics indicate a two-tiered reality of the Indian labour market: an increased number of working individuals and a structural weakness.

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AI-Driven Automation’s Impact on Tasks and Emerging Opportunities 

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AI-driven automation, for the most part,  affects the task components of jobs rather than wiping out whole jobs. The most automatable tasks are routine and manual, and more recent developments in AI have extended to non-routine cognitive tasks like document review, customer query handling, basic coding and first-level decision-making. There are two concurrent findings of global studies. To start with, part of the ongoing tasks will be automated or expedited. Second, there will be completely new tasks and work positions around data annotation, the operation of AI systems, prompt engineering, algorithmic supervision and AI adherence (World Bank, 2025; McKinsey, 2017).

In the case of India, this change will be skewed by sector. The manufacturing, back-office IT services, retail and parts of financial services will see the highest rate of disruption due to the concentration of routine processes with the ease of technology adoption. In comparison, healthcare, education, high-tech manufacturing and AI safety auditing are placed to create new skilled jobs. NITI Aayog estimates huge returns in GDP with the adoption of AI but emphasises that India has to invest simultaneously in job creation and reskilling to achieve the returns (NITI Aayog, 2025).

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Groups with Highest Vulnerability in the Transition to Automation

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The PLFS emphasises that a large portion of the Indian population does not have any formal employment and that the social protection is minimal and formal training is not available to them. The risk of displacement is likely to be the greatest for informal employees, making up almost 90% of India’s labour force, who carry out low-skilled, repetitive jobs in the manufacturing and retail industry (PLFS, 2023-24). Women and young people in low-level service jobs also face a greater challenge of transition pressure unless the reskilling and placement efforts can be tailored to them. Meanwhile, major cities and urban centres are likely to have openings for most of the new skilled opportunities at the expense of an increasing geographic and social divide. 

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The Skills and Supply Challenge

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While India’s education and research ecosystem is expanding, there remain significant gaps in preparing the workforce for AI-driven change. Given the vulnerabilities highlighted earlier, AI-focused reskilling must be a priority to equip workers with practical skills that meet industry needs. Short modular programs in areas such as cloud technologies, AI operations, data annotation, human-AI interaction, and cybersecurity can provide workers with employable skills. Particular attention should be given to routine-intensive sectors like manufacturing, retail, and back-office services, as well as to regions with high informal employment or lower access to formal training. Public-private partnerships and localised training initiatives can help ensure that reskilling translates into concrete job opportunities rather than purely theoretical knowledge (NITI Aayog, 2025)

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The Way Forward

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To facilitate the change process, the policy should focus on three interconnected goals: safeguarding the vulnerable, developing competencies on a large-scale level, and directing innovation towards the widespread ability to benefit.

1. Protect the vulnerable through social buffers. Provide informal workers with social protection in the form of portable benefits, temporary income insurance based on reskilling, and earned training leave. While the new labour codes provide essential protections such as unemployment allowances and minimum wage standards, they could be strengthened by incorporating explicit provisions for reskilling. This would better support informal workers during job transitions and enhance workforce adaptability.
2. Short modular courses on cloud computing, cybersecurity, data annotation, AI operations, and human-AI interaction should be planned through collaboration between public and private training providers. Special preference should be given to industry-certified certifications and apprenticeship-based placements. These apprenticeships should be made accessible in multiple languages to ensure inclusivity. Existing government initiatives, such as NASSCOM’s Future Skills Prime, need better outreach and marketing to reach the workforce effectively.
3. Enhance local labour market mediators. Close the disparity between local demand and the supply of labour in the industry by enhancing placement services and government-subsidised internship programmes for displaced employees and encouraging firms to hire and train locally.
4. Invest in AI literacy, AI ethics, and basic education. Democratise access to research and learning by introducing AI literacy in schools, increasing STEM seats in universities, and creating AI labs in the region (NITI Aayog, 2025).
5. Encourage AI adoption that creates jobs rather than replaces them. Fiscal and regulatory incentives should prioritise AI tools that augment worker productivity in routine roles instead of eliminating positions. Public procurement can support firms that demonstrate responsible and inclusive deployment of AI, ensuring technology benefits both business and workforce.
6. Supervise and oversee the transition. Use PLFS and real-time administrative data to monitor shrinking and expanding occupations. High-frequency labour market dashboards will allow making specific interventions in those regions in which the acceleration of displacement occurs.

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Conclusion

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The integration of AI will significantly impact the future of the Indian workforce, but policy will determine its effect on the labour market.  The PLFS indicates increased employment but a structural weakness of informal and routine employment. Evidence from the Indian market and international research points to the fact that the appropriate combination of social protection, skills building and responsible technology implementation can change disruption into a path of upward mobility. There is a very limited window of action. The extent to which India will realise the productivity and GDP benefits predicted by national research, alongside the investments made in labour market infrastructure, remains uncertain. It is crucial that these efforts lead to the capture of gains and facilitate a fair and inclusive transition for workers.

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References

• Annual Report Periodic Labour Force Survey (PLFS) JULY 2022 - JUNE 2023. 
• Future Jobs: Robots, Artificial Intelligence, and Digital Platforms in East Asia and Pacific, World Bank. 
• Jobs Lost, Jobs Gained: What the Future of Work Will Mean for Jobs, Skills, and Wages, McKinsey Global Institute 
• Roadmap for Job Creation in the AI Economy, NITI Aayog
• India central bank chief warns of financial stability risks from growing use of AI, Reuters 
• AI Cyber Attacks Statistics 2025, SQ Magazine. 

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Introduction 

Due to the rapid growth of high-capability AI systems around the world, growing concerns regarding safety, accountability, and governance have arisen throughout the world; thus, California has responded by passing the Transparency in Frontier Artificial Intelligence Act (TFAIA), the first state statute focused on "frontier" (highly capable) AI models. This statute is unique in that it does not only target harms caused by AI models in the form of consumer protection as compared to the majority of state statutes; rather, this statute addresses the catastrophic and systemic risks to society associated with large-scale AI systems. As California is a global technology leader, the TFAIA is positioned to have a significant impact on both domestic regulation and the evolution of international legal frameworks for AI technology (and as such has the potential to influence corporate compliance practices and the establishment of global norms related to the use of AI).

Understanding the Transparency in Frontier Artificial Intelligence Act

The Transparency in Frontier Artificial Intelligence Act provides a specific regulatory process for companies that create sophisticated AI systems with societal, economic, or national security implications. Covered developers are required to publish an extensive safety and transparency policy that details how they navigate risk throughout the artificial intelligence lifecycle. The act requires developers to notify the government of any significant incidents or failures with their deployed frontier models on a timely basis.

A significant aspect of the TFAIA is that it establishes the concept of "process transparency", which does not explicitly control how AI developers create their models, but rather holds them accountable for their internal safety governance by mandating that they develop Documented safety frameworks that outline risk assessment, mitigation, and monitoring processes. The act allows developers to protect their trade secrets, patents, and national defense concerns by providing them with limited opportunities for exemption and/or redaction of their documents so that they can maintain a balance between data openness and safeguarding sensitive information..

Extraterritorial Impact on Global AI Developers

While the Act is a state law, its implementation has far-reaching effects. Many of the largest AI companies have facilities, research labs or customers in California. Therefore, to be compliant with the TFAIA, these companies are required to do so commercially. The ability to develop a unified compliance model across regions enables companies to avoid developing duplicate compliance models.

This same pattern has occurred in other regulatory areas, like data protection regulations; where a region's regulations effectively became global compliance benchmarks for that regulatory area. The TFAIA could similarly serve as a global standard for transparency in frontier AI and shape how companies build their governance structure globally even if they don't have explicit regulations in the regions where they operate.

Influence on International AI Regulatory Models

The TFAIA offers a unique perspective on global discussions about regulating AI. In contrast to other legislation which defines different levels of risk depending on the type of AI, the TFAIA targets specifically high-impact or emerging technologies. Other nations may see value in this model of tiered regulations based on capability and apply it for their own regulation of AI, with the strictest obligations placed on those with the most critical potential harm.

The TFAIA may serve as a guide for international public policy makers by showing how they can reference existing standards and best practices in developing regulations, thus improving interoperability and potentially lessening regulatory barriers to cross-border AI innovations.

Corporate Governance, Compliance Costs, and Competition

From an industry perspective, the Act revolutionizes the way companies govern themselves. Developers are now required to create thorough risk assessments, red-teaming exercises, incident response protocols, and have board oversight for AI safety and regulation. The number of people involved in this process increases accountability but at the same time the increases will create a burden of cost for all involved.

The burden of compliance will be easier for large tech companies than for smaller or start-ups, and thus large tech companies may solidify their position of dominance over the development of frontier AI. Smaller and newer developers may be blocked from entering the market unless some form of proportional or scaled compliance mechanism for where they operate emerges. These developments certainly raise issues surrounding innovation policy and competition law at a global scale that will need to be addressed by regulators in conjunction with AI safety concerns.

Transparency, Public Trust, and Accountability

The TFAIA bolsters the capability of citizens, researchers and journalists to oversee the development and the use of artificial intelligence (AI) through its requirement for public disclosure of the safety framework of AI systems. The disclosures will allow citizens, researchers and journalists to critically evaluate corporate claims of responsible AI development. Over time, this evaluation could increase trust in publically regulated AI systems and would expose businesses that exhibit a poor risk management process.

However, how useful this transparency is depends on the quality and comparability of the information being disclosed. Many current disclosures are either too vague or too complex, thus limiting the ability to conduct meaningful oversight. There should be a push for clearer guidance and/or the establishment of standardised disclosure forms for the purposes of public accountability (i.e., citizens) and uniformity between countries.

Conclusion

The Transparency in Frontier Artificial Intelligence Act is a transformative development in the regulation of Artificial Intelligence Technology, specifically, a whole new risk profile of this new generation of AI / (Advanced High-Powered) Technologies such as Autonomous Vehicles. This new California law will create global impact because it Be will change how technology companies operate, create regulatory frameworks and develop standards to govern/oversee the use of Autonomous Vehicles. The Act creates a “transparent” means for regulating (or governing) Autonomous Vehicles as opposed to relying solely on “technical” means for these systems. As other regions experience similar challenges that US Government is facing with respect to this new generation of AI (written laws), California's approach will likely be used as an example for how AI laws are written in the future and develop a more unified and responsible international AI regulatory framework.

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References

1. https://www.whitecase.com/insight-alert/california-enacts-landmark-ai-transparency-law-transparency-frontier-artificial
2. https://www.gov.ca.gov/2025/09/29/governor-newsom-signs-sb-53-advancing-californias-world-leading-artificial-intelligence-industry/ 
3. https://www.mofo.com/resources/insights/251001-california-enacts-ai-safety-transparency-regulation-tfaia-sb-53 ‍
4. https://www.dlapiper.com/en/insights/publications/2025/10/california-law-mandates-increased-developer-transparency-for-large-ai-models

Executive Summary:

Cyber incidents are evolving along with time, they are designed to attract and lure people through social networking sites and/or messaging services. In the recent past a spate of messages alleging that TRAI is offering ‘3 months free recharge with free voice calls and internet for 4g/5g with 200 GB free data’. These messages display the TRAI logo with attractive offers to trick the users into revealing their personal details. This blog discusses the functioning of this free mobile recharge scheme, its methods and guidelines on how to avoid such fake schemes. This blog explains the importance of vigilance and verification when receiving any links, emphasizing the need to report suspicious activities and educate others to prevent identity theft and protect personal information. 

Claim:

The message circulated an  enticing offer: free mobile recharge for 3 months which provides unlimited  free voice calls with 200GB 4G/5G data with TRAI logo. The key characteristics of the false claims are

• Official Branding: The logo of TRAI has been viewed as a deceptive facade of credibility. 

• Unrealistic Offers: It is accompanied by a free recharge , which is intended for an extended period indefinite period, like most fraudsters’ bait. 

• Urgency and Exclusivity: The offer is for a limited time to make urgency forcing the receiver to take the offer without confirmation. 

 The Deceptive Scheme:

Organized systematically, the fraudulent campaign usually proceeds in several steps, all of which aim at extracting  the victim’s personal data. Here’s a breakdown of the scheme:

1. Initial Contact:  Such messages or calls reach the users’ inboxes or phone numbers through social media applications such as WhatsApp or through text messages. These messages further implies that the user was chosen for the special offer from TRAI, which elicits the interest of the user. 

 2. Information Request: To claim the purported offer, users are directed to a website or asked to reply with personal details, including:

•  Phone number 
•  State of residence 
•  SIM provider details 

This is useful for the scammers as they harvest information which can be used to conduct identity theft or sold to others on the shady part of the internet known as the ‘Dark Web’. 

3. Fake Confirmation: After providing all the information, a congratulatory message appears on the screen showing that their phone number is eligible for the offer. The user is compelled to forward the message to many phone numbers through whatsapp to get the offer. 

 4. Pressure Tactics: The  message often implies a sense of time constraint or fear which psychologically produces pressure to provide all the user information. For example, users are given messages such as that if they do not ‘act now’, they will lose their mobile service. 

Analyzing the Fraudulent Campaign 

The TRAI fraudulent recharge scheme case depicts that  social engineering is used in cyber crimes. Here are some key aspects that characterize this campaign:

• Sophisticated Social Engineering 

Scammers take advantage of the holders’ confidence in official bodies such as TRAI. By using official TRAI logos, official language they try to deceive even cautious people. 

• Viral Spread 

The user is compelled to share the given message to friends and groups; this is an excellent strategy to spread the scam. It not only spreads the fraudulent message but also tries to extract the details of other people. 

• Technical Analysis

• Domain Name: SGOFF[.]CYOU
• Registry Domain ID: D472308342-CNIC
• Registrar WHOIS Server: whois.hkdns.hk
• Registrar URL: http://www.hkdns.hk
• Updated Date: 2024-07-24T18:50:48.0Z
• Creation Date: 2024-07-19T18:48:44.0Z
• Registry Expiry Date: 2025-07-19T23:59:59.0Z
• Registrar: West263 International Limited
• Registrar IANA ID: 1915
• Registrant State/Province: Anhui
• Registrant Country: CN
• Name Server: NORMAN.NS.CLOUDFLARE.COM
• Name Server: PAM.NS.CLOUDFLARE.COM
• DNSSEC: unsigned

Cloudflare Inc. is used to cover the scam. The real website always uses the older domain while this url has been registered recently which indicates that this link is a scam.  

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The  graph indicates that some of the communicated files and websites are malicious.

CyberPeace Advisory and Best Practice:

In light of the growing threat posed by such scams, the Research Wing of CyberPeace recommend the following best practices to help users protect themselves: 

1. Verify Communications: It is always advisable to visit the official site of the organization or call the official contact numbers of the company to speak to their customer care and clarify about the offers. 

2. Do not share personal information: No genuine organization will call the people for personal information.  Step carefully and do not provide personal  information that will lead to identity theft when dealing with such offers. 

3. Report Fraudulent Activity: If one receives any calls or messages that seem to be suspicious, then the user can report cyber crimes to the National Cyber Crime Reporting Portal on www. cybercrime. gov. in or call on 1930. Such scams are reportable and assist the authorities in tracking and fighting the vice. 

4. Educate Others : Always raise awareness among friends by sharing these kinds of scams. Educating people helps to avoid them falling prey to such fraudulent schemes. 

5. Use Reliable Resources :  Always refer to official sources or websites for any kind of offers or promotions.

Conclusion:

The free recharge scheme for 3 months with the logo of TRAI is a fraudulent scam. There is no official information from TRAI or in their official website about this free recharge scheme. Though the scheme looks attractive, it is deceptive.  Through this, the scammers are trying to collect personal details of the individual. Before clicking any links, it is necessary to check the authenticity of the information, report these kinds of incidents to spread awareness among people. Always be safe and be vigilant.  

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