#FactCheck: Viral Fake Post Claims Central Government Offers Unemployment Allowance Under ‘PM Berojgari Bhatta Yojna’
Executive Summary:
A viral thumbnail and numerous social posts state that the government of India is giving unemployed youth ₹4,500 a month under a program labeled "PM Berojgari Bhatta Yojana." This claim has been shared on multiple online platforms.. It has given many job-seeking individuals hope, however, when we independently researched the claim, there was no verified source of the scheme or government notification.
Claim:
The viral post states: "The Central Government is conducting a scheme called PM Berojgari Bhatta Yojana in which any unemployed youth would be given ₹ 4,500 each month. Eligible candidates can apply online and get benefits." Several videos and posts show suspicious and unverified website links for registration, trying to get the general public to share their personal information.
Fact check:
In the course of our verification, we conducted a research of all government portals that are official, in this case, the Ministry of Labour and Employment, PMO India, MyScheme, MyGov, and Integrated Government Online Directory, which lists all legitimate Schemes, Programmes, Missions, and Applications run by the Government of India does not posted any scheme related to the PM Berojgari Bhatta Yojana.
Numerous YouTube channels seem to be monetizing false narratives at the expense of sentiment, leading users to misleading websites. The purpose of these scams is typically to either harvest data or market pay-per-click ads that suspend disbelief in outrageous claims.
Our research findings were backed up later by the PIB Fact Check which shared a clarification on social media. stated that: “No such scheme called ‘PM Berojgari Bhatta Yojana’ is in existence. The claim that has gone viral is fake”.
To provide some perspective, in 2021-22, the Rajasthan government launched a state-level program under the Mukhyamantri Udyog Sambal Yojana (MUSY) that provided ₹4,500/month to unemployed women and transgender persons, and ₹4000/month to unemployed males. This was not a Central Government program, and the current viral claim falsely contextualizes past, local initiatives as nationwide policy.
Conclusion:
The claim of a ₹4,500 monthly unemployment benefit under the PM Berojgari Bhatta Yojana is incorrect. The Central Government or any government department has not launched such a scheme. Our claim aligns with PIB Fact Check, which classifies this as a case of misinformation. We encourage everyone to be vigilant and avoid reacting to viral fake news. Verify claims through official sources before sharing or taking action. Let's work together to curb misinformation and protect citizens from false hopes and data fraud.
- Claim: A central policy offers jobless individuals ₹4,500 monthly financial relief
- Claimed On: Social Media
- Fact Check: False and Misleading
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Introduction
In April 2026, Anthropic revealed Claude Mythos, an artificial intelligence application capable of finding security flaws in computer networks more effectively than human beings. The corporation claimed to have found hundreds of thousands of substantially serious vulnerabilities in established desktop operating systems and web-based browsers that have not been used for at least 20 years. This news has greatly alarmed those responsible for leading financial organisations, banks, and governments throughout the world. Nevertheless, this news demonstrates a much larger problem: we do not have enough cybersecurity professionals trained to do this kind of work. At the current estimate, there are 4.8 million cyber security professionals short of what is needed globally. There is a need to develop different kinds of workforce training programs to help prepare these professionals as we continue to see the emergence of new AI technologies.
What Is Claude Mythos ?
Anthropic created Claude Mythos as part of its Claude AI system, competing against ChatGPT and Google Gemini. In April 2026, expert testing revealed Mythos excelled at identifying problems in legacy code and suggested exploitation methods. It found a vulnerability that had existed for 27 years. Because of these advanced capabilities, Anthropic restricted access through “Project Glasswing,” giving it only to 12 major tech companies and 40 organizations managing critical software. Canadian Finance Minister François-Philippe Champagne called it an “unknown unknown.” Andrew Bailey of the Bank of England said regulators needed to examine what Mythos could mean for financial attacks. The European Union raised concerns. India’s Finance Minister Nirmala Sitharaman warned at SEBI’s Foundation Day on April 25, 2026, that cybersecurity is the single most pressing challenge facing markets today. She stated a single successful cyberattack on a major exchange or large broker could disrupt markets nationally and shake public confidence for years. Sitharaman emphasized that AI tools make attacks faster, more adaptive, and autonomous, capable of discovering system vulnerabilities and manipulating code.
The Real Problem: Discovery Versus Fixing
Mythos highlights a fundamental mismatch in cybersecurity. Finding a vulnerability does not guarantee it will be fixed. Organizations face challenges patching systems. Many use obsolete technology, and updates can break dependent components. Organizations in developing nations often lack financial resources for repairs or downtime. Critical systems like hospitals, banks, and power grids cannot go offline. Before Mythos, human hackers found vulnerabilities slowly. Now AI tools find weaknesses faster than they can be fixed, creating a dangerous gap. Ciaran Martin, former head of the UK’s National Cyber Security Centre, explained that Mythos is “a really good hacker” against unprotected systems. Organizations following basic security practices—regular updates, strong passwords, network protection, trained staff can likely defend against it. The UK AI Safety Institute concluded Mythos poses the biggest threat to poorly defended systems, noting: “We cannot say for sure whether Mythos Preview would be able to attack well-defended systems.”
The Workforce Challenge
The Mythos announcement exposes the real problem: we lack enough trained cybersecurity workers. There is a global shortage of 4.8 million workers against a current workforce of 5.5 million. In AI security specifically, 34 percent of needed skills are missing. But the harder problem is that AI is changing needed skills. Entry-level jobs monitoring security alerts are being automated. These were traditional career starting points. Young people learned basic skills and moved to advanced roles. Now these positions disappear while new AI security jobs emerge for which nobody has training. Organizations cannot hire fast enough for new AI roles because few people have these skills. This leads to a vicious cycle. With fewer entry-level positions available, there will be fewer young adults entering the job market which results in even fewer workers with this skill set; thus, the shortage of qualified applicants increases; this thereby increases organizations’ vulnerability. Without action taken immediately, this issue will continue to worsen
Way Forward
- Clarify What Skills We Need
Governments and industry must work together to define what cybersecurity workers need in an AI world. Currently, aspiring professionals study networking, software, and vulnerability finding, but AI security training barely exists. Governments should work with universities and companies to clarify needed skills: understanding what AI tools can and cannot do in security, finding and fixing AI system problems.
- Support Workers Who Lose Jobs To Automation
Workers who find themselves losing their jobs due to automation will require government support. All too often without an alternative, these skilled and trained workers will leave their profession forever. The government will need to provide funding for training of displaced employees, support for those changing careers to become cyber security professionals.
- Create Clear Rules For AI Security Tools
When companies create powerful security tools, governments must understand their capabilities and risks. Companies should be required to thoroughly test tools before release, clearly explain what tools can do and their limitations, and explain safety and misuse prevention plans. Governments should monitor actual tool usage, not simply trust voluntary compliance.
- Focus On Basic Security First
Most attacks do not need advanced AI tools. They succeed because organizations have not implemented basic security. Some never update software, train employees, use strong passwords, protect data properly, or test defenses. Governments should require organizations, especially those managing critical systems, to implement these basics.
Conclusion
Claude Mythos matters not because it is a weapon of destruction, but because it forces hard questions: Do we have enough skilled workers? Are our systems well-protected? The answer is no. We face a shortage of 4.8 million cybersecurity workers and lack AI security training. Yet this is also an opportunity. Governments can invest in training, strengthen defenses, and create clear rules for AI security tools. Governments, organizations and educational institutions must collaborate to create viable Cybersecurity career pathways. We can act through either creating panic or creating a trained and prepared workforce to meet today’s challenges. The time is now.
References
- https://www.bbc.com/news/articles/crk1py1jgzko
- https://red.anthropic.com/2026/mythos-preview/
- https://www.anthropic.com/project/glasswing
- https://www.aisi.gov.uk/blog/our-evaluation-of-claude-mythos-previews-cyber-capabilities
- https://www.bsg.ox.ac.uk/people/ciaran-martin
- https://www.isc2.org/Insights/2024/10/Cybersecurity-Workforce-INSIGHTS-October-2024
- https://decrypt.co/364141/anthropic-claude-mythos-serious-threat-overhyped-ai-security-institute
- https://www.businesstoday.in/latest/economy/story/fm-nirmala-sitharaman-wants-sebi-regulated-entities-to-remain-exceptionally-vigilant-heres-why-527437-2026-04-25
- https://www.theweek.in/news/biz-tech/2026/04/25/sebi-38th-anniversary-cybersecurity-concerns.html
Introduction
China is on the verge of unveiling a new policy that will address how Artificial Intelligence (AI) influences employment. On January 27, 2026, the Ministry of Human Resources and Social Security (MOHRSS) announced it would publish a paper on the contribution of AI to the labour and employment markets. The policy will include provisions to help impacted industries, expand assistance to young workers and graduates, and come up with interdisciplinary training programmes to equip individuals with jobs in an AI-enabled economy. The authorities have stressed that AI does not kill jobs but changes them, and education will be needed to assist employees in adjusting to the changes.
This announcement reflects a more proactive policy on AI-based changes in labour, showing that China intends to sustain economic modernisation through AI, as well as social stability. It also depicts wider international issues concerning the rate of automation and the necessity of considering labour and training policy.
AI and the Changing Nature of Work
AI is transforming work content and nature in industries. AI systems enhance the productivity of various functions, including data processing, logistics, and customer service, although they alter the nature of tasks carried out by humans. Extant studies indicate that although AI can automate routine activities, new occupations that require complex thinking, management of artificial intelligence, and skills related to people, including empathy, creativity, and problem-solving, may be generated.
This is the key nuance in the policy framing of China. Authorities point out that AI does not always result in massive unemployment. Instead, it transforms jobs and necessitates workers to change to new task profiles. This perspective is in line with the recent reports of the world research organisations, which predict the effects of AI as transformational and not necessarily destructive. As an example, the World Economic Forum Future Jobs Report 2023 observes that the change in technology will introduce new jobs that were not there 10 years ago, and retraining and upskilling will be instrumental in accessing those opportunities.
Key Components of China’s Policy Response
China’s forthcoming policy is expected to focus on three main areas that address both current workforce needs and future readiness.
Support for Key Industries
The policy will offer targeted assistance to sectors where artificial intelligence is gaining pace. Industries like advanced manufacturing, high-tech services, and online logistics will also get specialised assistance to assist companies in using AI to complement human labour and not just to replace it. The Chinese government tries to balance industrial upgrading with employment by channelling resources to the growth areas.
Assistance for Youth and Graduates
The youth and the recent graduates are entering a labour market that is changing rapidly. The policy aims to increase the support services to this population by career counselling, internships, and training programmes correlated with changing employer demands. According to a study by McKinsey Global Institute, the young workforce all over the globe can face disproportionate disruption in case the prospects of training are scarce, making initial career backing imperative.
Interdisciplinary Talent Development
The Chinese strategy focuses on interdisciplinary training that blends knowledge of domains and AI literacy and digital illiteracy. This is indicative of the realisation that hybrid skills are required in the future. The Organisation for Economic Cooperation and Development suggests that workers who can make it through the technical and non-technical elements of work will stand a better chance of winning in the AI age.
These components show that China’s strategy is not simply to protect existing jobs but to help workers transition to roles that leverage AI’s strengths.
Economy, Stability and Strategic Modernisation
The policy is an attempt to control technological transition as part of wider economic planning. It is an indication that the government regards AI as a structural change rather than an external shock that can be predicted and influenced by policy.
This is in contrast to some other reactions to labour markets in other countries, where the reactionary approach has been seen as a reaction to the job losses that have already become reality. The initiative by China implies that there should be a change in the manner in which one can expect change instead of reacting to change.
Global Comparisons and Shared Challenges
Governments worldwide are testing the options to adapt to the work effects of AI. The European Union is considering the individual learning account and portable training benefits, which would assist workers to gain access to reskilling opportunities in the course of their careers. In the US, there is a concerted effort by the public-private partnerships to match the development of the workforce with technological implementation.
The strategy of China has some of these components, but it stands out due to its incorporation with national planning processes. China wants the adoption of AI to help it achieve the common good and not division by connecting the workforce policy to the overall innovation and economic purpose.
Meanwhile, the issue of balancing the supply of labour with the demand of technology is a challenge of its own to countries with older populations and relatively smaller working forces. The timing and design of policy are particularly significant in China, as there is a large labour force and continuous changes in demography.
Practical Challenges and Risks
The success of China’s emerging policy will depend on effective implementation. Several practical issues will require careful attention:
Ensuring Equitable Access to Training
The labour force in China is diversified, and it goes through technology zones in cities and other rural areas. It will be paramount to make sure that the opportunity of upskilling is extended to all workers across the spectrum to prevent the further worsening of regional inequalities. Research conducted on reskilling across the globe shows that rural and low-income groups tend to lack access to training, despite the availability of programmes.
Aligning Training with Labour Demand
The programme of upskilling should be related to the market requirements. Disconnected training is prone to resulting in the production of skills that are obsolete or not applicable in actual work settings. Experience in emerging economies indicates that the involvement of employers in the training design enhances placement success on the part of the learner.
Private Sector Participation
The policy needs to be translated into employment outcomes with the help of private companies. Incentives to make firms invest in worker training, internships, and apprenticeships will enable workers to shift to AI-augmented jobs with ease.
A Model for AI Workforce Policy
The Chinese policy can serve as an example for other countries that want to balance technological advancement and labour market security. It acknowledges the fact that the effect of AI on employment is not only a technical or an economic problem but also a social challenge. Through foregrounding training, support, and coordinated action, China aims to create a future where people are ready to change and not lose their jobs to this change.
This strategy can be agreed with the suggestions of international organisations like the World Bank and the OECD, which insist on the idea of lifelong learning and flexibility of labour markets, as well as proactive investment in human capital as the main aspects of the labour policy in the future.
Conclusion
Artificial intelligence will continue to reshape work around the world. China’s forthcoming policy, which emphasises support, training and strategic integration of AI into labour markets, reflects a proactive and holistic view of technological transition. Other countries could benefit from studying this approach, especially in terms of linking workforce development with innovation goals.
By anticipating disruption and investing in people as well as technology, policymakers can help ensure that AI becomes a driver of shared economic opportunity rather than a source of exclusion. The balance between innovation and employment will shape not only economic outcomes but also social cohesion in the years ahead.
References
Amid reports that the death toll in Iran’s ongoing protests has risen to 2,571, a video has been widely circulated on social media showing a man slapping a person dressed in clerical attire after an argument. Users sharing the clip claim that public anger in Iran has escalated to the point where people are now physically attacking religious clerics. However, research by the Cyber Peace Foundation has found this claim to be misleading. The research established that the video is not recent and has no connection to the current protests in Iran. In fact, the clip dates back to 2021 and was entirely scripted.
Claim
On January 14, 2026, users on X (formerly Twitter) shared the viral video with captions suggesting that Iranian citizens are openly assaulting clerics amid the ongoing unrest. One such post stated that the situation in Iran had deteriorated so badly that people were now beating religious leaders.
The link, archived version, and screenshot of the post are available below:
Factcheck:
To verify the authenticity of the claim, the Cyber Peace Foundation extracted keyframes from the viral video and conducted a Google reverse image search. This led investigators to a report published on April 19, 2021, on the Persian-language website of Deutsche Welle (DW). The visuals matched the viral clip exactly, confirming that the footage is nearly five years old, not recent. Here is the link to the original video, along with a screenshot:
Further examination of reports by Fars News Agency revealed that Tehran police had conducted a detailed probe into the video at the time and declared it fake and pre-scripted. According to Tehran Police Chief Hossein Rahimi, the individual seen wearing religious attire was not a cleric. Here is the link to the original video, along with a screenshot: He was actually employed at a carpet cleaning shop in Tehran, while the man seen slapping him was his own son.
Police stated that the video was deliberately staged and circulated to provoke public sentiment and create unrest by falsely linking it to religious tensions. Both the father and son were arrested, and images of them in police custody were published in contemporaneous reports. Additional confirmation was found on the Independent Persian website, which had also reported on the incident on April 19, 2021, reiterating that the video was fabricated and unrelated to any protest movement. Here is the link to the original video, along with a screenshot:
Conclusion
The claim that the viral video shows an Iranian protester slapping a cleric during the current wave of protests is false. The video is from 2021, was scripted, and has no link to the ongoing demonstrations in Iran. It is being reshared with a misleading narrative to spread disinformation and inflame public sentiment.c
