#FactCheck – Debunked: Dhoni's Viral Picture Misinterpreted as Political Support

Introduction

Recently, the Delhi Police arrested a licensed telecom PoS agent, who identified himself as “Shivam Telecom," from a roadside kiosk adjacent to Hindu Rao Hospital. On the face of it, the headline may have simply read, “One man, one arrest." However, beneath that arrest is the unsettling story of a fully legitimate retail shop actively forging other people’s identification documents into weapons, one SIM card at a time, for as little as ₹500-600 each. This is not an account of an isolated offender; it is a peek into the vulnerability of SIM card security for typical end-users and the reasons why every mobile phone subscriber must pay attention to the unseen journey of his number.

 Why SIM Security Matters Now

Erstwhile, a SIM card was only a simple device for sending text messages and making calls. Today, however, it’s also a direct link to most of our lives online, be it online banking to verify it through one-time passwords (OTP) or Unified Payments Interface (UPI); social media platforms; or email accounts to reset a forgotten password, two-factor authentications (2FA), or even numerous other online services. Therefore, losing a SIM card and getting it fraudulently issued under your name, or criminals accessing your identity to buy a SIM, can be a serious cause of concern, as they can then impersonate you, conduct various frauds, bypass checks, or commit acts that can lead to you being wrongly implicated.

According to the investigation, criminals were procuring SIM cards through the authorized outlets of telecom companies, not unlicensed dealers. This clearly proves a deficiency in the Know Your Customer (KYC) process for the SIM card activation. The situation, however, is worse and is also highlighted by the fact that more than 21 lakh mobile numbers from the more than 114 crore mobile numbers reviewed under the Sanchar Saathi initiative launched by the department of telecommunications (DoT) were associated with fake or invalid identity documents. A state police chief of Tamil Nadu claims that 90% of the cyber fraud cases involved SIM cards obtained through misused identity documents.

How Illegally Activated SIMs Fuel Everyday Scams?

Once a SIM is activated using someone else's identity documents or biometric data, without their knowledge, it becomes a disposable, hard-to-trace tool for criminals. Here's how that plays out in practice:

1. Phishing and impersonation calls: Using an honest person’s details for a SIM registration allows the scammer to have a “clean” number that won’t tip off victims about a potential scam immediately when carrying out a fake bank call, fake delivery scam, or fake impersonation of an officer.
2. OTP and account-takeover fraud:  Since the SIM card is used as the anchor to OTP verification, an unauthorized SIM can be used to capture one-time passwords to activate new digital payments, create a new digital payments account, or use other personal information linked to your phone number to reset your service passwords.
3. Financial fraud and money mule networks: According to the investigators, such SIMs were extensively being used to open digital payment accounts as well as to flow money across a number of fraud chains, thus enabling the fraudsters to build a layer of financial infrastructure that is not linked with their actual identities.
4. Identity theft with real-world consequences: The identity of the Aadhaar holder (whose document was used to activate the SIM card) might be unaware that a SIM exists under his name until the fraud is uncovered during a loan default or a criminal investigation where he is forced to justify a crime committed using “his” number that he is oblivious to. 

That is the anonymity that SIM-card fraud has: the fact that the SIM on the face of it seems genuine, but the one operating it and the registered owner have absolutely no relationship whatsoever.

Red Flags Every Mobile User Should Watch For

Most people won't know their identity has been misused until something goes visibly wrong. A few warning signs are worth taking seriously:

1. Your SIM suddenly loses network connectivity or displays "No Service" for an extended period without any known outage, SIM replacement request, or billing issue.
2. You stop receiving OTPs or verification messages for banking, UPI, or other online services, particularly if login attempts continue to occur on your accounts.
3. You receive unexpected OTPs, verification codes, or account alerts for services you never signed up for, indicating that someone may be attempting to use your mobile number.
4. You receive calls or messages intended for someone else or asking you to confirm activities you never performed, which may suggest your number has been misused or duplicated.
5. Your bank or telecom provider notifies you of unusual account activity, failed identity verification, or changes that you did not authorize.
6. You discover multiple mobile connections registered in your name that you never requested, a risk that often remains unnoticed unless you proactively check through the Department of Telecommunications' Sanchar Saathi portal.

None of these guarantee fraud, but any of them is a reason to check further rather than assume it's a glitch.

Practical Steps to Protect Yourself

The good news is that Indian users now have direct tools to check and control this exposure:

1. Identify your SIMs: Via the Department of Telecom’s Sanchar Saathi website, you can access a list of all mobile numbers registered in your name. Report and get any SIMs you do not recognize deactivated promptly.
2. Safeguard your identity documents and biometrics: Do not disclose your Aadhaar information, OTPs, or biometrics to unofficial persons or retail agents. Ensure your SIM is activated in your presence by an official dealer of the telecom company.
3. Tighten the security of your accounts: Wherever possible, use the most secure multi-factor authentication methods; an authenticator app, rather than just SMS, would be ideal. Consider enabling account change or SIM swap notifications from your telecom provider.
4. Stay vigilant about your bank accounts and financial activities. Watch for unusual OTP requests, password change requests, login notifications, and unrecognized devices being logged into your online accounts. Being observant early on helps minimize losses.
5. Take swift action if a SIM stops working: Contact your telecom provider and report the misuse to the Sanchar Saathi website as well as your nearest cyber station, or file a complaint through the cybercrime helpline number.

A Shared Responsibility

Consumer vigilance is not enough to save the system. Telecom providers must verify customer authenticity and check their retail points sufficiently so that a roadside vendor of the likes of “Shivam Telecom” cannot have their retail outlet anywhere the retail outlets may not need to be established and can be run even from an abandoned car body on the street for weeks. Authorities are ensuring this by making all franchisees and PoS agents and distributors register, such that the individual activating each SIM is perfectly identifiable. Consumers should take precautions and report suspicious patterns and be vigilant for fraud detection and protect themselves by knowing the system, like the use of the Sanchar Saathi platform.

Conclusion

The Delhi fake SIM case proves that even sophisticated technologies are not enough to protect India’s telecom ecosystem. No amount of biometric validation, AI fraud prevention tools, or rigid KYC compliance can offset a single corrupt agent selling SIM cards over the counter. While law enforcement works to clamp down, the responsibility also falls upon consumers, who need to regularly monitor their SIM registrations, safeguard their identity, and report any suspicious transactions in time to minimize the threat of identity theft and SIM-based cybercrime.

Sources

• https://www.prokerala.com/news/articles/a1784141.html 
• https://the420.in/dots-sanchar-saathi-initiative-exposes-21-lakh-sim-cards-activated-illegally 
•  https://www.sancharsaathi.gov.in/ 
•  https://www.pib.gov.in/PressReleasePage.aspx?PRID=2113857 
• https://www.business-standard.com/amp/industry/news/nearly-4-million-sims-deactivated-as-govt-cracks-down-on-digital-fraud-125080500300_1.html 
• https://www.digit.in/news/telecom/here-are-5-new-sim-card-rules-implemented-by-dot-amid-rising-scams-and-frauds.html 

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Introduction

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You ask an app for directions to a street you've driven down a hundred times. You let autocomplete finish your sentence before you've decided what you meant to say. You take a photo of a document instead of reading it, trusting the summary a model hands back. None of these moments feel like a loss. Each one is, on its own, a reasonable trade of effort for convenience. But add them up across a year, a career, an industry, and you start to wonder what exactly we've been trading away. Every technology wave produces its own founding myth. For AI, the myth is that intelligence can be manufactured at scale, bottled into a model, and dispensed on demand - cheaper, faster, and eventually better than the human original. It's a seductive story, and one we've been telling ourselves so uncritically that we've stopped noticing what it costs.

The casualties of this bet are rarely dramatic. Nobody announces that a skill has quietly atrophied, or that a habit of independent judgement has gone unused long enough to weaken. These losses don't show up as headlines; they show up later, as gaps, when the system that was supposed to think for us turns out not to have been thinking at all. Ford Motor Company's recent decision to rehire around 350 veteran engineers, after leaning heavily on AI-driven quality systems, is a small but telling data point.¹ The lesson isn't that automation failed outright — it's that a process can be automated without the judgement that made the process work ever being captured in the first place. That distinction between automating a task and actually preserving the human expertise behind it is the real subject of this AI moment.

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How Organisations Are Using AI in Decision-Making

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More organisations are now leaning on AI not just to execute tasks, but to help shape decisions. Deloitte's 2026 Global Human Capital Trends survey found that 60% of executives now regularly use AI to support their decisions, and the same report cites Gartner's projection that by 2027, half of all business decisions will be augmented or automated by AI agents. Companies like Netflix and Amazon are often pointed to as examples of this working well using AI to enhance recommendations and logistics while keeping people involved in the interpretation, generating significant value in the process. Elsewhere, results have been more mixed: MIT's "State of AI in Business 2025" study found that 95% of generative AI pilots showed no measurable P&L impact within six months, often because this initiative failed to integrate feedback or adapt to context rather than because the underlying model was flawed. Critics have noted the study used a narrow definition of success (six-month, bottom-line ROI), so the figure may understate the value AI creates in ways that aren't captured on the P&L. Notably, this is not an argument against using AI. It is an argument about how we use it and why the human-in-the-loop principle, keeping people actively involved in judgement rather than passively rubber-stamping outputs, is not a compliance checkbox but the thing that determines whether automation actually works. That distinction, between automating a task and preserving the human expertise behind it, is the point of contention.

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Finding the Balance

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The lesson isn't to use AI less, it's to be deliberate about where it sits in the process. The strongest results come from pairing AI's speed with human judgement, not swapping one for the other. That means keeping a clear owner for important decisions, checking that the model is optimising for the right goal, and treating its output as a strong first draft rather than a final answer. Used this way, AI doesn't replace thinking, it gives good judgement more room to work.

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Two Framings We Should Retire

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Conversations about AI adoption keep falling into two lazy framings. The first is AI versus humans, as if technology and workforce are locked in a zero-sum contest for relevance. The second is AI versus jobs, reducing every discussion to headcount and displacement. Both are legitimate concerns, but they crowd out a more urgent question: as AI gets embedded deeper into how decisions are made, what happens to the quality of the decisions themselves? This is not a question about whether AI is useful and it plainly is. It is a question about what gets quietly outsourced along with the task, and whether anyone notices before it matters.

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Why “Wisdom of Crowds” Does Not Automatically Apply to AI

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A comforting analogy often gets reached for: surely, with millions of people using the same models, errors will average out, the way independent forecasters tend to converge on accurate estimates.² That analogy breaks down where it matters most. The wisdom-of-crowds effect depends on independent thinking, genuinely diverse information, and an aggregation mechanism that does not distort the signal. When millions of people query the same underlying model, those conditions collapse. Everyone draws from the same statistical engine, trained on overlapping data, tuned toward similar “safe” answers. The apparent agreement is not corroboration, it is an echo. This creates a genuinely new risk: AI can be confidently, fluently, and uniformly wrong across an entire organisation at once, without the friction that would normally surface an error in a single person's judgement.

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The Casualties, Named Plainly

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Several things erode quietly when organisations are not deliberate about integrating AI into decisions. Independent judgement is the first casualty of the willingness to form a view before checking what the model says. Verification effort follows: generative AI collapses retrieval and generation into one fluent output, and people invest less effort checking something that already sounds complete and well-reasoned. Diversity of thought narrows as more decision-makers lean on the same handful of models for research and drafting, quietly reducing the range of framings available when it matters most. Accountability becomes harder to trace when a recommendation generated by a model and passed along with minimal scrutiny creates a strange vacuum where a decision was made but nobody quite owns it. And informational anchoring sets in, where a signal becomes a coordination point simply because everyone is looking at it, regardless of its accuracy.

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Why Human-in-the-Loop Is a Design Requirement

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“Human in the loop” often becomes a rubber-stamp step rather than genuine scrutiny. That is a mistake, because the functions humans provide are structural, not decorative. Context that a model cannot infer  history, relationships, unstated constraints  shapes whether a reasonable-sounding answer is right in a specific situation. Domain expertise built over years lets someone recognise when a fluent answer is subtly wrong. Ethical judgement decides trade-offs a model has no standing to make on an organisation's behalf. Accountability means someone can be asked why a decision was made and answer from reasoning, not from “the system recommended it.” And the rarest function of all is the willingness to challenge a convincing answer and resisting the very fluency that makes AI output persuasive.

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What This Looks Like in Practice

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For organisations, the goal is not slowing AI adoption but being deliberate about where human judgement stays load-bearing. AI output should default to draft status until a qualified person has actively tested its logic against context the model lacks. Teams using the same AI tools for analysis should build in a step that actively seeks disagreement, rather than assuming convergence means correctness. Ford's decision to bring engineers back to lead design reviews is instructive: expertise, once encoded into a system, is not safe to let atrophy in the people who built it.³ Verification should be visible and required for decisions with real financial, legal, safety, or reputational consequences. And organisations should track which decisions were AI-assisted and who owned the final call, so accountability stays traceable rather than quietly disappearing.

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Conclusion

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Decades ago, management thinkers warned that automating a broken process only helps an organisation fail faster. The AI era raises the stakes on that warning: judgement itself, the hard-won capacity to reason well under uncertainty, can be automated away without anyone deciding to give it up. Machines already process information faster than any team of people. What they cannot yet do is originate the wisdom that comes from human experience, accountability, and the willingness to be told one is wrong. That capacity erodes not because AI is powerful, but because organisations stop deliberately exercising it. The real task ahead is not resisting AI, but ensuring that as it takes on more of the work of deciding, humans deliberately keep hold of the responsibility of deciding.

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References

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1. https://www.assemblymag.com/articles/100186-ford-rehires-veteran-engineers-to-improve-ai-vehicle-quality
2. https://finance.yahoo.com/technology/ai/articles/ford-rehires-veteran-engineers-ai-144332497.html
3. https://finance.yahoo.com/technology/ai/articles/ford-rehires-more-300-engineers-162210705.html
4. https://www.msn.com/en-us/money/other/ford-rehires-hundreds-of-engineers-after-ai-struggles-to-improve-quality/ar-AA26P4QB?ocid=BingNewsSerp
5. https://www.foxbusiness.com/technology/ford-rehires-experienced-engineers-after-ai-misses-mark
6. https://www.livemint.com/opinion/online-views/artificial-wisdom-of-crowds-jobs-crisis-ai-technology-automation-openai-model-11785009289768.html
7. https://www.deloitte.com/us/en/insights/topics/talent/human-capital-trends/2026/decision-making-with-ai.html
8. https://www.hpcwire.com/aiwire/2026/03/04/deloittes-state-of-ai-2026-why-enterprise-execution-is-falling-behind-adoption/ and Legal.io summary: https://www.legal.io/blog/5719519/MIT-Report-Finds-95-of-AI-Pilots-Fail-to-Deliver-ROI-Exposing-GenAI-Divide
9. https://www.marketingaiinstitute.com/blog/mit-study-ai-pilots

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Introduction
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In May 2025, at Mumbai’s first-ever World Audio Visual and Entertainment Summit (WAVES), PM Narendra Modi marked a turning point: the rise of what he called India's Orange Economy. Here lies a new path to growth - one built less on factories, more on invention, artistry, and spreading thought globally. While aiming for massive economic scale, India finds its creative industries movies, sound, games, cartoons, clothing design, books, online media stepping forward. 

First appearing in a 2013 guide from the Inter-American Development Bank, the phrase 'orange economy' emerged through work by Felipe Buitrago Restrepo and Iván Duque Márquez, suggesting past neglect in defining how culture connects with economic activity. Because orange stands for imagination and heritage in many societies, it became the label for this particular sector of economic life..

According to UNESCO’s 2022 Global Report Reshaping Policies for Creativity, the cultural and creative sectors account for 3.1% of world GDP and employ 6.2% of the global workforce – more than the total number of people employed in car manufacturing in Europe, Japan and the U.S. Meanwhile, UNCTAD's 2024 Creative Economy Outlook shows cross-border trade in creative services hit $1.4 trillion in 2022, up nearly a third from five years ago, demonstrating how imagination is remaking modern commerce.

In his book The Creative Economy, economist John Howkins states that the creative economy is essentially about the relationship between creativity and economics, where ideas themselves are products, and imagination becomes a form of capital.

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India’s Slice of Orange 

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The Scale of Opportunity
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Despite its potential, India’s role in the global creative economy remains largely untapped. According to the FICCI-EY Media and Entertainment Report, the country’s media and entertainment sector ranks among the world’s most rapidly expanding, fueled by a youthful demographic that is increasingly online and earning more. Boasting over 600 million people using the internet, it hosts a vibrant network of creators - musicians in Guwahati, podcasters in Kochi, game developers in Bengaluru, filmmakers in Punjab - who together form a rich pool of talent unlike any other.

Now comes a shift at the WAVES Summit, where PM Modi framed content, creativity, and culture as core to an emerging economy. Not just products but ideas take center stage here, he suggested, during what he described as the ideal time to build from India for global impact. While earlier efforts pushed factory output under Make in India, this approach turned toward thinking work - where stories, visual forms, and online expression shape progress. Thought becomes product; imagination fuels industry.

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Creative Industries Leading Change
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What many people don’t know is that India makes more films than any other country. The films made in Tamil, Telugu, Malayalam or Kannada are also widely circulated outside India, not just the output of Mumbai. Streaming services such as Netflix and Amazon Prime carry these works, reaching far beyond local audiences. Furthermore, India’s gaming industry is nascent but growing rapidly, and is attracting increasing attention from policy makers. Until recently, studios around the world have not relied on Indian teams for animation and visual effects. Now, local creators are slowly building their own game franchises. Momentum is shifting - original ideas once rare now appear more often across the country. Deep within India’s craft traditions handwoven textiles, carved block patterns, intricate metallic threadwork lies a quiet fusion of legacy and modern expression. Viewed anew through the framework of creative enterprise, such practices reveal dual value: access to global markets alongside sustenance for village-based makers. Rather than mere relics, they function as living systems where art meets income. Changes in perception make them economic opportunities, rather than local crafts. Every stitch, every weave, is not just technique but the weight of continuity in the face of change. And today, streaming platforms allow independent musicians in India to connect directly to listeners worldwide.

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The Three T’s: Technology Talent Tolerance
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Richard Florida, an economist, in his work The Rise of the Creative Class once proposed a model where city progress ties closely to innovation, skilled individuals, and openness. His idea - crafted originally for U.S. urban areas fits well when viewing India today. Growth now depends less on old industries, more on environments that attract capable minds through flexibility. Regions thrive not just by building tech hubs but by welcoming diverse lifestyles. One factor feeds another: talent flows where freedom exists, ideas grow where tools are available. A place gains momentum only if it supports all three at once.

Technology

A tool opens doors. Low-cost internet, budget phones, together with government-backed digital expansion, made making content possible for nearly anyone. The focus should be on accessibility and last mile delivery. 

Talent

Home to the youngest population on Earth, it sees countless imaginative minds emerge yearly from schools that now encourage original thinking. Still, despite rising worldwide interest in what these individuals produce, many cannot cover basic needs - a gap highlighted by UNESCO’s 2022 findings. But this contradiction lacks for systems that ensure fair pay, protect ideas, and offer stability beyond fleeting projects.

Tolerance

Openness to difference, trial, and unusual thinking shapes the trickier part of the equation. The wide mix of tongues, beliefs, and cultural expressions in India adds real value. Still, fostering innovation demands systems willing to adapt with rules safeguarding free expression, fair access for women in arts sectors, smoother paths for excluded groups.

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Challenges on the Path to “Create in India”
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India has millions of creators who influence culture but struggle to make a regular income from their work. Platforms take the lion’s share of profits, but those creating content, especially outside the big cities, often don’t have legal help, fair contracts or links with brands.

Another issue is Intellectual Property Literacy, IP rules such as copyright, trademark and patent systems empower the creative economy. Still, uneven understanding and spotty enforcement across India put many creators at risk of unfair use. Surprisingly, UNESCO’s 2022 assessment points to missing global standards for measuring creative sectors. Because of this gap, India faces challenges in shaping precise policy moves. Without detailed cultural satellite accounts, tracking progress remains uneven. Sector-specific figures would help fill these blind spots. Otherwise, decisions rely on incomplete information.Lastly, across the world, female professionals in artistic fields hold fewer top roles while earning less than men - a gap clearly seen in India too. To shape a fairer cultural sector, intentional strategies must elevate women, indigenous makers, and creators with disabilities.

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Conclusion
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In India, where young energy meets tradition through digital tools. Stories once shared locally now move across borders, carried by platforms that turn art into income. Because of this shift, music and fashion gain reach but only if creators can protect their work. Without fair pay or legal backing, even brilliant ideas fade quietly. Support systems matter, not just ambition. Recognition from society shapes whether fresh voices endure. In 2022, UNESCO’s report showed that although more people want to do creative work, those who create it still find it hard to make a living. New ideas offer a way forward, not to copy what exists, culture is then voice and value all at once.

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References
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1. https://sprf.in/from-make-in-india-to-create-in-india-charting-indias-orange-economy-frontier/ 
2. https://www.unesco.org/reports/reshaping-creativity/2022/en 
3. https://iasscore.in/current-affairs/indias-orange-economy 
4. https://indiasworld.in/the-dawn-of-indias-orange-economy/ 
5. Marta-Christina Suciu, "The Creative Economy" (Academy of Economic Studies, Bucharest)
6. John Howkins, The Creative Economy: How People Make Money from Ideas (2001)
7. Richard Florida, The Rise of the Creative Class (2002)
8. UNCTAD, Creative Economy Outlook 2024
9. SPRF, "From Make in India to Create in India" (December 2025)
10. IDB, The Orange Economy: An Infinite Opportunity (2013)

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