US Suspends Cognizant’s PERM Green Card Filings: What’s Next?

Breaking news banner about US suspension of Cognizant green card filings.

After a summer of visa-fraud scrutiny, Cognizant faces a PERM suspension. Here is the investigation timeline, the historical PERM data, and what employees need to know.

The U.S. government has suspended Cognizant’s PERM filings, blocking a key filing step the company uses to sponsor employees for green cards. Labor Department Inspector General Anthony D’Esposito announced the action on September 8. For workers relying on Cognizant to sponsor permanent residency, the immediate question is whether their case can move forward.

The move follows a summer of scrutiny. Federal investigators announced a broader H-1B and PERM fraud investigation on July 8. By July 11, public reporting had linked Cognizant’s name to whistleblower complaints discussed by the inspector general. The September announcement brings that scrutiny directly into the company’s PERM filings. July 8 government announcement, July 11 reporting

For Indian professionals, the stakes are clear: a potential interruption to green card sponsorship, with no announced end date in the reporting reviewed. The effect on applications already pending remains unclear. The announcement does not establish an H-1B ban or the cancellation of employees’ existing visas.

What the government has—and has not—announced

D’Esposito’s reported statement says: “Cognizant’s PERM filings are suspended.” He links the action to an anti-fraud effort involving his office and the White House Fraud Task Force.

The IANS report says the material released did not disclose specific allegations, affected application numbers or a suspension period, and identified no criminal charges against the company. It included no Cognizant response. An investigation is not a finding of wrongdoing.

When did the investigation begin? The timeline

July 8, 2026 is the documented launch date of the broader government investigation. The sources reviewed do not establish the opening date of a separate Cognizant-specific case.

DateWhat happenedWhat it establishes
July 8, 2026DOL OIG announced an investigation into H-1B/PERM fraud and worker exploitation.Broader probe; the release does not name Cognizant. Official release
By July 11, 2026Times of India reported that D’Esposito discussed whistleblower complaints mentioning Cognizant and dozens of subpoenas.Public reporting linking the company to scrutiny; the subpoena count concerns the broader probe.
July 14, 2026OIG initiated a separate audit of PERM recruitment requirements.Program-wide review of whether U.S. workers were recruited; not a Cognizant finding.
August 13, 2026OIG reported Dallas field checks in its nationwide H-1B investigation.The release does not identify Cognizant as a visited company.
September 8, 2026D’Esposito announced Cognizant’s PERM suspension on X, according to reproduced reporting.Company-specific suspension announcement.
US suspends Cognizant's PERM Green Card filings amid investigation.

62 days separate the broader probe’s July 8 launch and the September 8 suspension announcement. That interval describes the public timeline, not the length of a proven Cognizant-specific investigation.

What investigators are looking for

The July 8 announcement described suspected fraudulent applications, coercive wage kickbacks and exploitation of foreign workers across employment-visa programs. Those are allegations discussed in the broader investigation; the release does not attribute each practice to Cognizant. DOL OIG

The separate July 14 audit asks a more specific question about PERM: to what extent were U.S. workers recruited for the advertised vacancies? That matters because recruitment is central to the program’s purpose. OIG audit memorandum

Cognizant’s PERM numbers: historical records, not today’s affected cases

MyVisaJobs’ profile for Cognizant Technology Solutions US Corporation displays the following historical labor-certification status counts. These snapshots provide context; they do not reveal how many applications the September suspension affects.

Fiscal yearCertifiedCertified-withdrawn
2023589510
2024741494

Source: MyVisajobs accessed September 8, 2026. Categories are reproduced as shown. “Certified-withdrawn” is separate from “certified” and is not a denial. These are historical database records, not green cards issued, unique affected employees or a verified count of new filings received in each year. The underlying DOL records were not independently reconciled, and no company-wide 2025 or 2026 zero is inferred.

The number that matters most right now—applications affected by the suspension—was not disclosed in the announcement as reported. Historical volumes cannot fill that gap.

Chart showing certified and withdrawn PERM records for FY 2023 and FY 2024.

What is PERM—and where does it fit in a green card application?

PERM is an employer-led labor certification process. Broadly, the employer must demonstrate that there are insufficient able, willing, qualified and available U.S. workers for the position, and that employing the foreign worker will not adversely affect comparable U.S. workers’ wages and working conditions.

For cases requiring this certification, the basic sequence is:

  1. The employer completes the required preliminary steps and files its labor certification application.
  2. After certification, the employer submits it with an immigrant worker petition, Form I-140, to USCIS.
  3. The worker still needs to complete the applicable immigration process before becoming a permanent resident.

PERM approval is not a green card. It is an earlier step. DOL says a certified application must be submitted to USCIS within its 180-day validity period. The date DOL receives the labor certification application generally establishes the priority date for these cases.

That explains why a disruption here matters: it can interrupt a case before it reaches the next agency.

Does this mean Cognizant’s H-1B visas are suspended too?

The reported announcement does not establish an H-1B suspension. PERM concerns permanent labor certification; H-1B is a separate temporary employment program. The announcement does not indicate Cognizant’s H-1B program has been suspended.

Employees should therefore distinguish three questions: Can I continue working under my current authorization? Can my employer make a future visa filing? Can my green card sponsorship move forward? A headline about PERM does not answer all three.

There can, however, be a connection between green card progress and future H-1B extensions. USCIS describes circumstances in which a labor certification or I-140 filed at least 365 days before the requested extension start date can support H-1B extensions beyond the usual six-year limit. Eligibility depends on the case.

The practical implication is that a filing delay may deserve more urgent attention for someone approaching a deadline than for someone early in their U.S. employment. An immigration lawyer should assess that timing using the employee’s actual records.

What should Cognizant employees ask now?

The useful next step is to get a written, case-specific answer from the company’s immigration team or the attorney handling the sponsorship.

Ask:

  • What stage is my case at? Recruitment, PERM filed, PERM certified, I-140 pending or I-140 approved?
  • Has my case actually been affected? Request the relevant notice or written explanation.
  • Which deadline needs attention first? Ask about current status, any upcoming extension and any certification expiry.
  • What happens next? Is the team awaiting agency instructions, preparing a response or taking another step?
  • When will I receive another update? A clear follow-up date is more useful than an open-ended assurance.

These are questions to clarify the situation, not a recommendation to resign, switch employers or abandon an application. Those decisions require an assessment of the individual case.

Is Cognizant the only company named?

IANS also reports a Cloudera PERM suspension; it does not establish identical circumstances.

That makes this a story worth following beyond one employer. But it does not justify predicting which company will face action next.

What matters next

The next meaningful development will be documentation explaining how the suspension operates, along with any response from Cognizant. Employees need to know whether existing applications can proceed, what new filings face and when the position may change.

For Indian professionals following the story, the most useful distinction is between the announced action and its still-unclear effect on individual cases. The first is news. The second is what determines a family’s next decision.

Follow the immigration news that affects your life in America. Visit Asia91.com to download the Asia91 app for U.S. Desi community news, events and radio.

New H-1B Visa Fee Fight: What 6,000+ Comments Reveal

Pie chart showing comments distribution with categories and percentages.
Asia91.com
A NEW $103,265 VISA FEE

We read 6,142 comments people sent to the government about this new visa fee. Here’s what’s actually in there.

The government wants to charge $103,265 every time a company hires a skilled foreign worker on an H-1B visa. Before that becomes final, anyone can write in and say what they think – and officials have to read it. In the first eight days, 6,142 people did. We read every one and pulled out the numbers, the arguments, and a few things nobody expected.

6,142
comments in 8 days
$103,265
the proposed fee
38%
oppose it outright
In this piece – 17 points
  1. What’s actually happening
  2. Who’s winning the comment war
  3. The flip nobody saw coming
  4. Two arguments, one number
  5. Accusations of caste-based hiring
  6. Actual lawyers showed up, with citations
  7. This isn’t just a tech story
  8. “AI is already doing the job”
  9. 15 people too scared to give their name
  10. 410 people brought up Canada, unprompted
  11. The companies that got named
  12. The AI prompt someone forgot to run
  13. The copy-paste campaigns
  14. From “Based.” to legal essays
  15. People who think it should be higher
  16. The part that isn’t funny
  17. What happens next
Red = against the fee
Green = for the fee
Amber = neutral, just a number

Point 1

A fee, and a very short window to react

Quick version: the H-1B visa lets U.S. companies hire skilled foreign workers – engineers, researchers, doctors, and international students who studied here. The government now wants to charge $103,265 every time a company files one of these visas, on top of fees that already exist.

Before that becomes law, the public gets a chance to say something about it. Anyone can write in, and by law the government has to actually read what people say before finalizing anything. That window opened on August 25, 2026 and runs for 30 days. People used almost all of it in the first eight.

6,142 people wrote in. Almost all of them – 6,140 – typed a real, substantial comment. Not a form checkbox. Not a one-word reaction. Actual paragraphs.

Chart 1 – How fast comments came in
Line chart showing daily comment volume from Aug 25 to Sep 3, peaking at 1,863 on Aug 26

What you’re looking at: each dot is one day, and the number above it is how many comments arrived that day. The chart shoots up on day two – 1,863 comments landed in under 24 hours – then slowly tapers off.

Why it matters: a normal government rule doesn’t get noticed by 1,863 people overnight. Something – a Reddit thread, a WhatsApp forward, a lawyer’s newsletter – pushed people here fast, and they already knew which side they were on.

Source: DHS Docket USCIS-2026-0298, public comments Aug 25–Sep 3, 2026 · Analysis: Asia91


Point 2

For it, against it, or just venting

We read every comment and sorted them by tone: does it clearly support the fee, clearly oppose it, do both, or is it too short to tell? This isn’t a scientific poll – it’s a careful read of 6,000+ real comments, one at a time.

Chart 2 – Where everyone stands
Donut chart: 38% oppose, 21% support, 4% mixed, 37% too short to call

What you’re looking at: the whole donut is all 6,142 comments. 38% (red) clearly oppose the fee. 21% (green) clearly support it. The rest are too short or mixed to score – things like “In favor” or a bare link to a file.

Why it matters: among people who took a clear side, opposition beats support by roughly 2 to 1. That’s the headline – but it hides something more interesting, which is what happened hour by hour. Keep reading.

Source: DHS Docket USCIS-2026-0298 · Analysis: Asia91 (keyword-based, not a scientific survey)

Point 3

Day one leaned one way. Every day after flipped.

On the very first day this went live, comments leaned in favor of the fee. Starting the next morning, that reversed hard – and stayed reversed.

Chart 3 – The overnight reversal
Stacked bar chart per day showing support share flipping from 71% to under 40%

What you’re looking at: each bar is one day. The green part is the share who supported the fee that day, red is the share who opposed it. On Aug 25, green (support) was 71% of the bar. One day later, red (oppose) had taken over and never gave it back.

Why it matters: this looks like two different online communities racing to find the comment page. Whoever wanted the fee found it first – within hours. Then a much bigger, slower-moving group of H-1B holders, international students, and tech employers arrived and dominated every day after.

Source: DHS Docket USCIS-2026-0298 · Analysis: Asia91

Point 4

Two sides, arguing about completely different things

Forget “for” and “against” for a second. What are people actually typing about? We searched every comment for specific topics and counted how often each one came up.

Chart 4 – What people actually wrote about
Horizontal bar chart of themes by percentage of all comments

What you’re looking at: each bar is one topic, and the number is what share of all 6,142 comments mention it. A comment can mention more than one topic, so these don’t add up to 100%.

Why it matters: “Wages / American workers” and “Innovation / competitiveness” are almost tied at the top – meaning both sides feel equally strongly, they’re just arguing about different things entirely.

Source: DHS Docket USCIS-2026-0298 · Analysis: Asia91

The case against the fee

International students who took out loans years before this fee existed. Small businesses that can’t afford a six-figure hire the way Google can. A legal claim that a court already struck down a similar $100,000 charge as an illegal tax.

The case for the fee

IT staffing firms accused of using the visa as cheap labor. Concern about American tech wages being undercut. A repeated (if fuzzy) claim that most H-1B workers come from one country.


Points 5–11

7 things people actually said in the comments

Beyond “for it” or “against it,” the comments contain some genuinely surprising, specific arguments. Here’s the full range – with the numbers to back it up.

Point 5

Accusations of caste-based hiring

264 comments raise some kind of bias or discrimination issue. Within that group, 22 comments go further than a general complaint – they specifically allege that Indian hiring managers, once promoted into a position to hire, favor candidates from their own caste or community. That’s a much sharper, more specific claim than plain “the system is unfair” venting, and it’s not just one person: several different comments make a similar claim independently.

Chart 5 – How often each bias claim came up (raw count)
Bar chart of bias-related terms in comments, raw counts

What you’re looking at: out of all 6,142 comments, how many used each specific word or accusation.

Source: DHS Docket USCIS-2026-0298 · Analysis: Asia91

Chart 6 – Casteism, sized against other bias claims (not against all 6,142 comments)
Bar chart showing each bias category as a percentage of the 264 bias-related comments

What you’re looking at: this time the percentages are out of the 264 comments that raised any bias claim, not out of all 6,142 – that’s the fair comparison. Casteism is 8.3% of that smaller group; plain nepotism is a much bigger 30.3%; general “discrimination” is the largest slice at 56.8%.

Why it matters: casteism is real and specific, but it’s the fourth-largest slice of a fairly small pie – context worth having before running a headline with just the number 22.

Source: DHS Docket USCIS-2026-0298 · Analysis: Asia91

“Some Indian managers would rather hire a more expensive Indian of their caste” than a cheaper, equally qualified candidate, one commenter wrote, calling it a bigger problem than wages alone. — public comment, DHS Docket USCIS-2026-0298
A commenter who said they’d worked at Microsoft for nearly two decades wrote that “once an Indian was promoted, they began hiring more Indians” – something they said was well known internally, though no documentation was offered. — public comment, DHS Docket USCIS-2026-0298
What we’re not publishing

A small number of comments in this file went further than argument – they named specific private individuals and linked to their personal LinkedIn profiles as supposed “evidence.” We’re not repeating those names or links. That a federal comment box got used this way is itself worth knowing, which is why we’re mentioning it – but the specific targets don’t belong in any published piece.

A full breakdown of this finding – including the counter-argument for why these claims shouldn’t be taken at face value – runs in its own piece: “Is There a Caste Problem in Tech Hiring?”

Point 6

Actual lawyers showed up – with citations

553 comments – nearly one in ten – cite a specific U.S. immigration law by name, arguing the government doesn’t even have the legal authority to charge this fee. Others cite the exact court case that already struck down a similar charge. This isn’t public opinion, it’s a parallel legal argument, filed one comment at a time.

Chart 6 – Legal arguments, named specifically
Bar chart of legal citations across comments

What you’re looking at: how many comments name each specific law or legal precedent.

Why it matters: if this rule ever gets challenged in court, the arguments are already sitting right here, in public.

Source: DHS Docket USCIS-2026-0298 · Analysis: Asia91

Chart 13 – Legal arguments, sized against each other
Bar chart of legal arguments as a percentage of the 696 comments citing any legal argument

What you’re looking at: of the 696 comments that cite any legal argument, what share cites each one. INA §286(m) – the core question of whether DHS even has the authority to charge this fee – dominates at 79.5%.

Source: DHS Docket USCIS-2026-0298 · Analysis: Asia91

Point 7

This isn’t just a tech story

625 comments mention STEM fields directly – but 82 specifically raise healthcare, including rural hospitals that rely on H-1B doctors. If this fee goes through, some small hospitals could quietly lose their only specialist. That’s a very different story than “tech worker visa fight.”

Chart 7 – Who this actually touches
Bar chart of sectors and cap numbers mentioned

What you’re looking at: how many comments mention each group or specific visa-cap number.

Why it matters: the popular image is “tech workers vs. American coders.” The comments say it’s bigger than that – hospitals, universities, and research labs are all in the mix.

Source: DHS Docket USCIS-2026-0298 · Analysis: Asia91

Chart 14 – Sectors, sized against each other
Bar chart of sectors as a percentage of the 1,385 comments citing any sector or cap number

What you’re looking at: of the 1,385 comments naming a sector or specific cap number, what share goes to each. STEM dominates at 45.1%, but healthcare still gets a real 5.9% – not nothing, for a “tech visa” fight.

Source: DHS Docket USCIS-2026-0298 · Analysis: Asia91

Point 8

“AI is already doing the job – why do we need the visa?”

A genuinely unexpected argument: 74 comments frame this as AI-versus-everyone, not immigrant-versus-citizen. Some say AI is already doing the technical work H-1B visas were meant for. Others say the opposite: losing global talent now is exactly how the U.S. falls behind China in the AI race – a country named in 165 separate comments.

Point 9

15 people were too scared to give their name

A small but real detail: 15 comments mention fear of getting in trouble with an employer just for commenting. This is supposed to be a safe, official way to speak up – and some people clearly didn’t feel safe doing it under their own name.

Point 10

410 people brought up Canada, unprompted

Nobody asked about Canada. 410 comments mentioned it anyway – almost always as “the job just moves there instead.” Add in 165 mentions of China and 54 direct references to “brain drain,” and there’s a real argument here: pricing out global talent doesn’t send the job to Ohio. It sends it to Toronto or Shenzhen.

Point 11

The companies that got named – for very different reasons

Microsoft, Google, and Amazon get named most – usually in arguments about AI and competitiveness. Cognizant, Infosys, and TCS – the outsourcing firms – get named specifically as the “problem,” almost never in a flattering way.

Chart 8 – Companies named by name
Bar chart of company mentions

What you’re looking at: how many comments mention each company. Red bars are outsourcing firms named as part of the “problem.” Green bars are big tech, mostly named around AI and competitiveness.

Why it matters: this could be its own article – a scorecard of who got dragged and why.

Source: DHS Docket USCIS-2026-0298 · Analysis: Asia91

Chart 15 – Companies, sized against each other
Bar chart of companies as a percentage of the 147 comments naming any company

What you’re looking at: of the 147 comments that name a company at all, what share goes to each one. Microsoft alone accounts for over a third.

Source: DHS Docket USCIS-2026-0298 · Analysis: Asia91


Point 12

Someone submitted the AI prompt instead of the answer

At least five different people submitted the exact same text into the official record. It wasn’t a form letter. It was a raw ChatGPT-style instruction – brackets and all.

“Write a short, persuasive public comment (150–250 words) opposing DHS Docket No. USCIS-2026-0298… include 3 concise points on how the fee hurts [insert your industry/perspective]… end with a clear call to withdraw the rule.” — submitted as an actual comment, five times, by five different people

Nobody filled in the bracket. Nobody ran the prompt. Someone shared an AI template in a group chat or on Reddit, and at least five people copy-pasted the raw instructions straight into the official government record – the same permanent file as the legal briefs above. Funny, and also a real look at what “organized advocacy” looks like in 2026.

Point 13

Form letters, from both sides

About 2% of all comments are near-identical to at least one other comment – meaning organized templates were circulating, not just individual people typing in the moment.

Chart 9 – The most-repeated comments
Bar chart of duplicated comment templates and their counts

What you’re looking at: each bar is one specific piece of text that showed up more than once, and how many times it was copy-pasted.

Why it matters: some of these are clearly advocacy-group talking points dressed up as personal stories. The line between “one person’s real opinion” and “coordinated campaign” is blurrier than it looks.

Source: DHS Docket USCIS-2026-0298 · Analysis: Asia91


Point 14

From “Based.” to legal essays

The shortest comment is four characters. The longest hits the platform’s character limit. Both are in the same file.

Chart 10 – How long people’s comments were
Bar chart of comment length buckets

What you’re looking at: comments grouped by length, from a single word (amber) to multi-thousand-character essays (red). The typical comment lands around 700 characters – roughly the length of this paragraph.

Why it matters: 801 comments run past 3,000 characters – long enough to cite specific laws and court cases. At the other end, people just typed “Based.” and moved on. Same file, wildly different effort levels.

Source: DHS Docket USCIS-2026-0298 · Analysis: Asia91

Point 15

225 people think $103,265 isn’t high enough

Among people who support the fee, plenty didn’t just want the government to keep the number – they wanted it higher. Some by a little. Some by a lot.

Chart 11 – How high people want the fee to go
Bar chart of proposed higher fee amounts

What you’re looking at: each bar is a fee amount someone proposed instead of $103,265, and how many comments proposed it.

Why it matters: seven separate people want the fee to be ten million dollars. That’s not really a policy position – it’s a way of saying “just end the program” without literally saying it.

Source: DHS Docket USCIS-2026-0298 · Analysis: Asia91

Chart 16 – How the $10M askers stack up
Bar chart of escalation amounts as a percentage of the 195 comments proposing any higher fee

What you’re looking at: of the 195 comments that proposed some number higher than $103,265, what share picked each tier. Most people who want it higher land in the “$200K or more” range – the $10 million asks are a small, loud minority within that group.

Source: DHS Docket USCIS-2026-0298 · Analysis: Asia91

Point 16

A government comment page is still the internet

Most of this file is a genuine, real debate – real financial stakes, real frustration, both sides. But a small slice of the anti-immigrant comments cross from disagreeing with a policy into openly hostile language toward Indian applicants specifically, not just criticism of the visa program. It’s a small share of the total – well under 1% used explicit slurs – but it’s sitting in the same permanent government record as everything above. We’re not repeating that language here; the pattern is the point, not the words themselves.


Point 17

This is still open for comment

The public has until September 25, 2026 to weigh in – so everything above is a snapshot, not the final tally. Comment volume usually spikes again in the last 48 hours of any window like this, and given how fast this one started, the ending could be bigger than the beginning.

By law, the government has to review and respond to the substance of what people said before finalizing anything. Whatever number it lands on, it will have to answer to a record that includes rural hospitals, laid-off engineers, immigration lawyers, a leaked AI prompt, and seven people who think the fee should be ten million dollars.

This is still open for comment.

We’re tracking every new submission until the window closes September 25. Get the update on the Asia91 app before anyone else does.

Get the Asia91 app

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Costco Dosa Batter Shock: Frisco Family Finds Gray, Fungus-Like Growth Before Expiration Date

A popular Costco dosa batter has left one Frisco family asking a disturbing question: how can a refrigerated product appear spoiled before its best-by date?

The family regularly bought W’Kana Gourmet Millet Batter Dosa because it made breakfast easy—especially with children at home. But the convenience quickly turned into concern.

The first time, the customer noticed an unusual smell after opening the container. He had already eaten a few dosas before becoming suspicious. Thinking it might have been a bad batch—or perhaps because the batter had been left outside briefly while he was cooking—he threw it away.

Then he purchased a fresh container.

This time, he says the batter was kept refrigerated, and the best-by date had not passed. But when he opened it the next day, he found a disturbing gray, sticky mixture covered with pale, irregular patches.

Based on the photographs, the surface appears fungus-like and completely different from the normal smooth appearance consumers expect from dosa batter.

From Reels to Resignation: How Gen Z Is Rewriting Indian Politics

Dismissed as distracted and unserious, India’s youngest political generation turned memes, masks and short videos into a national movement powerful enough to force a rare cabinet exit.

Gen Z has heard all the accusations before: too distracted, too comfortable, too addicted to phones and too unserious to care about politics.

Then India’s young people locked in.

In July 2026, weeks of youth-led demonstrations over examination paper leaks, education reform and shrinking job prospects culminated in the resignation of Union Education Minister Dharmendra Pradhan. What began online through satire and memes had grown into a nationwide movement that placed the Narendra Modi government under unusual public pressure.

The movement did not abandon seriousness; it repackaged it. Cockroach masks, superhero costumes, Instagram Reels and sarcastic placards captured public attention, while marches, a prolonged hunger strike and negotiations created political pressure.

The result challenged one of the most persistent stereotypes about Gen Z: that a generation fluent in memes cannot also be politically committed.

From an Online Joke to a National Movement

Gen Z is generally understood to include people born after 1996, although definitions vary. Only its older members can currently vote, but the generation’s political influence extends far beyond the ballot box. It can shape narratives, create pressure and move an issue from a social-media feed to the national agenda.

The Cockroach Janta Party, or CJP, demonstrated that power.

The satirical movement was founded by political communications strategist Abhijeet Dipke after controversial remarks comparing unemployed young people to “cockroaches” and “parasites” sparked widespread anger. Rather than reject the insult, supporters reclaimed the cockroach as a symbol of survival: difficult to silence, difficult to eliminate and impossible to ignore.

The humor attracted attention, but the grievances behind it were real. Students were angry about repeated examination irregularities, particularly the leak of a national medical entrance examination paper. The resulting retest affected approximately two million students. The protests also became an outlet for wider anxiety about unemployment, educational opportunities and government accountability.

Activist and education reformer Sonam Wangchuk emerged as one of the movement’s most visible supporters, completing a 26-day hunger strike. Protesters marched, faced police barricades, endured tear gas and demanded Pradhan’s resignation.

On July 25, Pradhan stepped down. The government also agreed to demands that included examination-system reforms, withdrawing police cases against protesters and compensating families of students who had died by suicide following the examination controversy.

Reuters described the confrontation as Modi’s biggest youth challenge since he became prime minister in 2014 and reported that Pradhan was only the second minister to resign following a scandal during Modi’s tenure.

That made the episode more than a viral moment. It became evidence that digital frustration, when connected to a concrete grievance and organized offline action, can produce a political result.

Gen Z Is Harder to Treat as a Permanent Vote Bank

Previous generations are often described as “legacy voters”—people whose political loyalties are strongly influenced by family, caste, community or regional identity and remain relatively stable over time.

Gen Z has not eliminated those influences, and no generation should be treated as politically uniform. However, younger voters appear increasingly willing to make their support conditional. A political party may win their approval on one issue and face their anger on the next.

Many young voters who have supported the BJP, for example, can still criticize the government over examination leaks, unemployment or policies affecting their everyday lives. Supporting a leader does not necessarily mean adopting that leader as a permanent personal identity.

This makes Gen Z difficult to manage through personality-driven politics alone. Young people can instantly retrieve old speeches, promises and interviews. A statement made years ago can return as a split-screen Reel within hours, placed beside a politician’s latest claim.

The internet has given ordinary voters a searchable political memory.

Gen Z does not merely listen to leaders. It fact-checks them, remixes them, parodies them and sometimes trolls them.

That does not automatically make every criticism informed or fair. But it does make political communication more exposed. A carefully manufactured image can now be challenged by thousands of creators working from their phones.

The Algorithm Is the New Political Editor

For Gen Z, political information does not wait to be searched for. It arrives.

It appears between a comedy Reel, a fashion video and a friend’s holiday pictures. A 90-minute political speech may receive limited attention, while one 30-second segment from that speech can reach millions of people before the day ends.

This does not mean framing has become less important. In fact, it has become more important. The person who selects the clip, adds the caption and chooses the music can influence how an entire speech is understood.

Instagram Reels, YouTube Shorts, memes and independent digital creators have therefore become central players in political communication. They influence which moments become visible, which contradictions become embarrassing and which grievances become shareable.

The Cockroach Janta Party understood this instinctively. It did not begin with a traditional party office, television campaign or established political machinery. It began with an absurd symbol and a message that fit naturally into internet culture.

The symbol brought people in; the seriousness of the issue kept them involved.

Political information found Gen Z through its feeds. Gen Z then carried that information into the streets.

From Rallies to Reels

Political leaders have recognized the shift.

Following the youth protests, Prime Minister Narendra Modi increasingly appeared in selfie-style videos and informal, vertically filmed social-media content. His outreach included youth-oriented language, pop-culture references and encouragement for creators to use formats such as “Get Ready With Me,” commonly known as GRWM.

The broader BJP communication system also began experimenting with shorter, less polished videos designed for Instagram and other youth-focused platforms. According to Reuters, Modi urged ministers to become more active on platforms popular with young people and to make their videos appear less scripted.

Leader of Opposition Rahul Gandhi adopted a more interactive approach, inviting students and Gen Z users to participate in an Instagram “Ask Me Anything” session. Serious questions about education and politics appeared alongside lighter exchanges designed to make the politician seem accessible and human.

These efforts reveal the new competition taking place in Indian politics. Politicians are no longer competing only for votes. They are competing for attention, authenticity and relatability.

But views, likes and playful comments do not automatically translate into trust. Gen Z is deeply familiar with influencer culture and can quickly recognize communication that feels overly manufactured. A leader may speak the language of the internet and still become the subject of the internet’s jokes.

The politicians have entered Gen Z’s digital territory. That does not mean Gen Z will accept them there.

Tackling Serious Issues With “Unserious” Humor

Traditional protests are associated with speeches, slogans, marches and hunger strikes. The CJP demonstrations included all of those—but added a distinctly Gen Z layer.

Some protesters appeared dressed as Spider-Man, Batman, Iron Man and other pop-culture characters. Others wore cockroach masks, recorded GRWM-style videos before attending demonstrations or used trending sounds to document what was happening around them. Placards turned examination leaks, unemployment and political frustration into punchlines designed to travel online.

Even confrontations with police were narrated through irony and dark humor.

From the outside, this behavior can appear chaotic or even inappropriate. But humor was not evidence that protesters lacked seriousness. It was a communication strategy, a coping mechanism and a form of political resistance.

Memes lowered the barrier to participation. A young person who might never watch a television debate could understand a joke about a paper leak within seconds. A superhero costume could attract a camera, but the protester’s explanation could then carry the political message to millions.

Gen Z did not make protest less serious. It made seriousness shareable.

Behind the costumes was genuine anger. Behind the Reels were students worried about their futures. Behind the cockroach symbol were young people who believed institutions had stopped listening to them.

The Danger of Politics by Algorithm

The same tools that give young people political power can also create serious problems.

Short videos remove context. Algorithms reward outrage. False claims can spread faster than corrections, and a clever edit can make a misleading argument feel convincing. Online movements may also become trapped inside ideological bubbles in which popularity is mistaken for accuracy.

There is another challenge: sustaining attention. A movement can dominate social media for a week and disappear when the algorithm discovers a new controversy. Turning online enthusiasm into lasting reform requires organization, leadership, negotiations and measurable goals.

The CJP movement succeeded because it connected viral creativity with a specific demand and sustained offline pressure. Its longer-term test will be whether it can continue influencing public policy after the trending hashtags fade.

Why Indian Americans Should Pay Attention

This transformation matters beyond India.

For many young Indian Americans, Indian politics is experienced less through newspapers or evening television and more through Instagram, YouTube and videos forwarded by relatives on WhatsApp. A political moment in Delhi can enter a Dallas, New Jersey or Bay Area family conversation within minutes.

That creates a new kind of transnational political participation. Members of the diaspora may not vote in India, but they can amplify stories, influence family conversations, support causes and shape how events in India are understood abroad.

It also makes reliable reporting more important. When politics travels internationally through short clips, the distinction between verified information, satire and propaganda can quickly disappear.

Gen Z Has Locked In—But What Comes Next?

India’s Gen Z has not rejected politics. It has rejected the assumption that politics must always look and sound traditional.

This generation may organize through Instagram, speak through memes and arrive at a protest dressed as Spider-Man. None of that prevents it from understanding injustice, demanding accountability or sustaining a movement.

The Cockroach Janta Party protests showed that digital culture can become democratic power when humor is connected to a real grievance and online attention is converted into collective action.

Gen Z has not replaced rallies with Reels. It has made Reels the road to the rally.

And after a movement born from memes helped force a Union minister’s resignation, no political party can afford to dismiss the next viral joke as “just the internet.”

The Dirty World of AI Data Centers: Powering the Future or Consuming It?

A Gen Z girl stands at her bathroom sink, splashing water on her face.

She looks up at the camera, mock horror in her eyes: “Oh my god. I just used water that was supposed to go to AI. Jeff Bezos is going to be so mad at me.”

The reel got millions of views. So did a hundred versions of it — people apologizing to their showers, their swimming pools, their water bottles.

Here’s the twist: the Bezos quote everyone was mocking — that water should be prioritized for AI over human needs — was never real. Fact-checkers traced it to a satire post after his appearance at VivaTech in Paris. He never said it.

But notice what happened. Millions of people saw a billionaire supposedly telling them to drink less water so machines could think more — and believed it instantly. No hesitation. No fact-check needed.

That instant believability is the real story.

Because while the quote was fake, the anxiety behind it is very real. AI data centers do drink billions of gallons of water. They do consume electricity on the scale of entire cities. And communities across America are genuinely asking whether their resources now come second to server farms.

So let’s talk about what’s actually happening — because the truth is stranger than the meme.


“A facility that uses a city’s worth of electricity and millions of gallons of water might employ thirty to a hundred people. That’s it. No jobs boom. No middle-class revival. Just a handful of high-skill technicians and security guards.”

“Water and power constraints — not chip shortages — are now the primary bottlenecks for expansion.”

“Data centers are becoming an important issue in local, state, and potentially federal elections because it is an important subject for voters.”


Have you ever imagined that every time you ask an AI chatbot a question, generate an image, or use a smart assistant, somewhere a building the size of several football fields springs into action?

Imagine a modern-day gold mine.

Except instead of miners digging for precious metal, thousands of processors are digging through data. Instead of pickaxes, there are GPUs. Instead of dynamite, there is electricity.

And instead of gold, the commodity is intelligence itself.

Hidden behind the excitement of artificial intelligence is a rapidly expanding network of AI data centers — vast industrial facilities quietly reshaping economies, politics, energy systems, and even local elections.

While AI is often discussed as software, its real foundation is brutally physical: land, power, water, and money.

And the scale is staggering. The International Energy Agency’s satellite tracking shows that “AI factories” — cutting-edge data centers built specifically for AI — have more than tripled in capacity in just 18 months. Electricity consumption by AI-focused data centers surged 50% in 2025 alone.

The question is no longer whether AI will transform society.

The question is: who will bear the cost of building the infrastructure that makes it possible?


What Exactly Are AI Data Centers?

At their simplest, data centers are buildings filled with servers that store, process, and transmit information.

AI data centers are a different breed altogether.

Unlike traditional facilities that handle websites, emails, and cloud storage, AI data centers are designed to train and operate large artificial intelligence models. They contain thousands of specialized chips working simultaneously, processing oceans of information around the clock.

Here’s one number that captures the leap:

A conventional server rack consumes 5 to 15 kilowatts of electricity. A modern AI rack? 30 to over 100 kilowatts.

That’s not an upgrade. That’s a different species — up to twenty times hungrier, rack for rack.

The result is a new class of infrastructure that demands:

  • Massive electricity supplies — often with dedicated substations
  • Advanced cooling systems — increasingly liquid-cooled, chip by chip
  • High-speed fiber networks
  • Large land parcels — hundreds of acres at a time

These facilities have become the factories of the AI age.


America’s New Gold Rush

If the nineteenth century was defined by railroads and the twentieth century by oil, the twenty-first may be defined by compute power.

Technology giants — Microsoft, Google, Amazon, and Meta — have collectively committed hundreds of billions of dollars toward AI infrastructure, with combined annual capital spending now rivaling the GDP of mid-sized nations.

The United States government and many state governments see these projects as strategic assets.

Why?

Because AI leadership increasingly depends on compute capacity. The US already accounts for roughly 45% of global data center electricity consumption — the largest market on Earth. Countries that control advanced AI infrastructure gain advantages in:

  • Economic competitiveness
  • Military applications
  • Scientific research
  • Cybersecurity
  • Technological innovation

To win these projects, states across America are rolling out the red carpet:

  • Property tax exemptions
  • Sales tax incentives
  • Fast-track approvals
  • Infrastructure support packages
  • Favorable zoning policies

The result? What many analysts call a new real estate rush.

Large tracts of land with access to power and fiber are suddenly worth multiples of what they fetched a few years ago. Rural counties that once competed for factories now compete for AI campuses.

But beneath the promises of investment and innovation lies a more complicated story.


What Lies Beneath the AI Boom?

Supporters portray data centers as engines of economic development.

Critics see something very different.

Across Virginia, Texas, Georgia, Michigan, Arizona and beyond, residents are increasingly organizing against proposed projects. And Virginia shows why the stakes feel so personal: data centers already consume an estimated 26% of the state’s electricity — more than one in every four kilowatt-hours.

The concerns are not ideological. They are practical:

  • Rising electricity demand — and rising residential bills
  • Pressure on local water supplies
  • Industrial noise, humming 24/7
  • Land consumption
  • Limited long-term employment
  • Increased strain on infrastructure

The community argument is simple: the benefits flow to large technology companies and investors. The costs stay local.

This is why data centers have begun appearing in election campaigns and local political debates — and why the coalitions opposing them look so unusual.

Environmental activists, farmers, suburban homeowners, and fiscal conservatives are finding themselves on the same side, for different reasons.

Some oppose the environmental footprint. Some oppose public subsidies. Some simply ask: does a facility employing a small workforce justify hundreds of millions in tax incentives?

For many Americans, AI is no longer an abstract technology debate.

It’s a line item on the utility bill. A water table. A changed skyline.


The Hidden Costs of the AI Race

The AI revolution is often told as a story of algorithms.

Increasingly, it is a story of resources.

⚡ Electricity

Perhaps the greatest challenge facing AI expansion is power.

A single large AI campus can consume hundreds of megawatts — comparable to a small city.

Zoom out and the numbers get dizzying. The IEA projects global data center electricity consumption will roughly double from about 485 TWh in 2025 to 950 TWh by 2030 — nearly 3% of all electricity on the planet. In the US, data centers consumed about 4.4% of national electricity in 2023; federal researchers project that share could hit as much as 12% by 2028.

One January 2026 industry forecast put it vividly: US data center demand is set to jump from 80 to 150 gigawatts between 2025 and 2028 — like adding an entire Spain to the grid in three years.

Utilities now face an impossible-sounding question: How do you power AI growth while pursuing clean energy goals?

The answer remains uncertain — and the scramble is real.

Some companies are betting on nuclear: hyperscalers locked up over 10 gigawatts of new or restarting nuclear capacity in just 18 months, and the pipeline of small modular reactor agreements nearly doubled to 45 GW by early 2026.

Others are building natural gas generation. Renewables continue to grow — but the sheer scale of demand has sparked concerns that fossil fuel dependence could persist far longer than climate plans assumed.

💧 Water

Cooling advanced AI systems requires serious resources.

In many regions, data centers depend on water-intensive cooling. US data centers drew an estimated 17 billion gallons of water directly in 2023 — with over 200 billion more consumed indirectly through the power plants feeding them.

In drought-prone areas like Arizona, that math has become a flashpoint between communities and developers. Newer liquid-cooling technology can cut direct water use dramatically — but it doesn’t touch the electricity, which remains the dominant cost.

🏗️ Land and Infrastructure

Data centers occupy enormous footprints.

Unlike manufacturing plants or corporate headquarters, they may generate relatively few permanent jobs after construction ends — often just that thirty-to-a-hundred headcount.

This raises hard questions about land-use priorities and what a community actually gets for what it gives up.

🔒 Privacy and Centralization

Beyond environmental concerns, some critics worry about concentration of power.

The same infrastructure that enables AI innovation can also support increasingly sophisticated data collection, analytics, and digital services.

Whether these developments ultimately enhance convenience, efficiency, and security — or create new concerns about surveillance and control — remains an ongoing public debate.


Why Indian-Americans and Investors Are Paying Attention

The AI infrastructure boom is deeply connected to the Indian and Indian-American technology ecosystem.

Indian-origin executives lead major technology firms across cloud computing, semiconductors, and AI development. Indian-American engineers, researchers, and entrepreneurs are designing the software and hardware these facilities run on.

At the same time, infrastructure funds, pension funds, and institutional investors increasingly view data centers as premium long-term assets.

Investors describe them as the “digital equivalent of toll roads” — critical infrastructure that businesses depend on regardless of economic cycles.

India itself is pursuing the same path.

The country’s AI ambitions, exploding digital economy, and expanding cloud market are driving heavy investment in domestic data center capacity.

Yet India faces the very questions confronting America:

  • Can electricity generation keep pace?
  • How will water resources be managed?
  • Where should large facilities be located?
  • Who benefits most from the economic gains?

The Real Battle May Not Be AI — It May Be Energy

For years, the AI conversation was about software breakthroughs.

Today, a different reality is emerging.

The limiting factor may not be algorithms. It may be energy.

Industry analysts increasingly agree: the binding constraint on AI is no longer silicon. It’s sites, grid interconnections, power procurement, and politics.

The countries that can build reliable generation, modern transmission, and resilient infrastructure may hold the decisive advantage in the AI era.

In this sense, the race for artificial intelligence increasingly resembles earlier struggles over oil, railways, and industrial capacity.

Compute is becoming a strategic resource.

And every AI query ultimately traces back to a power plant somewhere.


The Questions We Haven’t Answered Yet

A century ago, people looked at smokestacks and saw progress.

Only later did they begin asking what was entering the air.

Today, many look at artificial intelligence and see limitless possibility.

But behind every AI response stands a warehouse of servers, a flow of electricity, a source of water, and a chain of political and economic decisions.

Are AI data centers the power stations of a new digital civilization?

Or are they the first signs of a resource-intensive future whose costs are still hidden from view?

When the AI age is finally written into history books, will these facilities be remembered as the foundations of unprecedented innovation — or as monuments to a technological race that consumed more than it created?

The machines are learning.

The data centers are growing.

The power meters are spinning.

The rest of the story is still being written.


Key figures sourced from the International Energy Agency, Lawrence Berkeley National Laboratory, and industry research published through mid-2026.

Not a New Hero — The King India Never Forgot

The New York Times article is under scrutiny for reducing Chhatrapati Shivaji Maharaj’s legacy to contemporary politics.

If someone told an Indian that Chhatrapati Shivaji Maharaj is India’s “new hero,” the reaction would probably not begin with agreement — it would begin with confusion.

That is exactly why a recent New York Times article sparked such intense discussion online.

Titled around the idea that India’s right wing has embraced a 17th-century king as a modern symbol, the article explored how Chhatrapati Shivaji Maharaj’s public visibility has expanded in recent years and argued that his image is increasingly being linked with Hindu nationalism and contemporary politics.

But the controversy that followed was not simply about politics. It was about something deeper: who gets to define historical memory, and whether global media sometimes oversimplifies how India remembers its own icons.

What the New York Times article argues

The central argument of the New York Times article is not that Shivaji Maharaj suddenly became important. Rather, it suggests that in recent years his image has been elevated nationally and increasingly connected with modern political identity — especially under the current political environment.

The article points to visible examples:

– more public statues and memorials,

– stronger national references to Shivaji beyond Maharashtra,

– political speeches invoking his legacy,

– and the broader use of historical figures in shaping public identity.

The article appears to frame this growth as part of a larger political and cultural movement in India — particularly linked to Hindu nationalism and the rise of the BJP over the last decade.

The underlying implication is that historical figures are being reintroduced into national consciousness through contemporary politics.

That argument is not entirely unusual. Governments around the world often draw inspiration from historical personalities to create national narratives. But where the article became controversial was in how many readers interpreted its framing.

The political usage of Shivaji in contemporary India

There is little debate that Chhatrapati Shivaji Maharaj occupies an increasingly visible place in national political language today.

Prime Minister Narendra Modi has repeatedly referenced Shivaji Maharaj in speeches and public events, often presenting him as a symbol of courage, governance, strategic thinking and civilizational confidence.

Large memorial projects and public commemorations have also gained visibility in recent years.

At the same time, Shivaji’s national reach today is wider than before. Historically associated most strongly with Maharashtra and Maratha identity, his symbolism now appears more prominently across different parts of India.

Supporters of this trend argue that this is not political manufacturing but broader recognition of a historical figure whose influence deserved greater national attention.

Many also point to the fact that Shivaji’s memory was never restricted only to one region.

His name has existed for decades in public life — across roads, institutions, airports, textbooks, public celebrations and popular culture.

Supporters of broader recognition also argue that institutions have drawn lessons from his military and administrative thinking.

For example, Shivaji’s emphasis on naval strength is often referenced in discussions around India’s maritime traditions, and his strategic use of terrain and fort systems is frequently discussed in military history and leadership contexts.

However, whether such references amount to historical appreciation or political symbolism depends largely on perspective.

The backlash: “Shivaji was never a new hero”

One of the strongest criticisms of the article came from social media users who argued that the headline itself created a misleading impression.

Among the widely circulated responses was a thread by commentator Indu Viswanathan.

Her central criticism was straightforward:

Shivaji Maharaj was never a forgotten figure waiting to be rediscovered.

She argued that presenting him as a “new hero” creates a false impression for international readers — as if modern politics created his relevance.

Her comparison was striking: describing Shivaji as a new hero, she argued, would be similar to calling George Washington a new hero for Americans.

She also criticized the article’s language choices.

One example she highlighted was describing Shivaji statues as “rising across India.”

Her argument was that such wording subtly changes perception.

Instead of describing public commemoration, she argued, language like “rise” can create associations of political movements, social threat, or ideological expansion.

Her larger point was not that political usage does not exist.

Her argument was that political usage and historical significance are not the same thing.

According to this view, political parties may amplify Shivaji’s visibility, but they did not create his importance.

My view: where the New York Times article feels incomplete

The strongest limitation of the article is not that it discusses politics.

Political usage of historical figures is a valid topic and governments across the world do it. But the article, in my view, underestimates how deeply embedded Chhatrapati Shivaji Maharaj already was in Indian public memory long before the current political environment.

Shivaji’s popularity is not recent.

His symbolic importance did not emerge in the last 10–12 years, nor can it be understood mainly through the rise of one political party.

For generations, Shivaji Maharaj has occupied a major place in Indian public consciousness through education, literature, public institutions, regional identity, cultural memory and political discourse.

His influence has also existed in Indian politics for decades across different periods and movements. References to Shivaji appeared during parts of the Independence movement as a symbol of resistance and self-rule, and later his legacy became strongly associated with regional political mobilisation in Maharashtra, including through parties such as Shiv Sena long before the current government came to power.

This is why reducing his present visibility mainly to recent political promotion feels incomplete.

The article appears to move too quickly from observing increased public celebration of Shivaji to suggesting that his prominence is primarily a result of BJP-era political messaging.

That connection, in my view, overlooks an important distinction:

Political amplification is not the same as political creation.

A government or political movement can elevate, nationalise, or emphasise a historical figure — but that does not necessarily mean it created that figure’s relevance.

This is where I think the article lacks deeper engagement with the historical and emotional impact Shivaji Maharaj has had on Indian society over centuries.

To many Indians, Shivaji is not viewed as a newly constructed political symbol but as a historical personality whose relevance already existed and continues to evolve.

Similarly, the article’s framing risks presenting Shivaji’s growing visibility mainly as evidence of Hindu nationalism or minority marginalisation.

That framing may resonate with a familiar international narrative, but it can also simplify a far more layered reality.

Understanding Shivaji primarily through the lens of contemporary political gain may miss why his image continues to resonate so strongly across generations and regions in the first place.

Conclusion

The New York Times article raises an important discussion about how historical figures continue to shape modern politics. But in doing so, it appears to miss a much deeper reality — Chhatrapati Shivaji Maharaj is not a newly elevated political symbol, but a figure who has occupied a powerful place in India’s historical and political consciousness for generations.

His influence did not begin with the current government, nor can it be explained only through contemporary political narratives. While political parties may amplify his legacy, they did not create it.

The article’s framing may fit a narrative that is easier for Western audiences to understand — one centred on Hindu nationalism and political symbolism — but in doing so, it risks overlooking the historical depth, emotional connection, and long-standing public memory associated with Shivaji Maharaj in India.

Shivaji was never waiting to be rediscovered. And regardless of political cycles, his impact on Indian society and public imagination is likely to continue for generations to come.

Beyond Remittances: Why Karnataka Wants an NRI Department — And Whether It Could Become a New Political Power Centre

The Karnataka government’s proposal to create a dedicated mechanism for Non-Resident Indians (NRIs) has sparked a wider debate about how Indian states engage with their overseas communities.

In recent weeks, overseas Kannadigas organisations have intensified their demand for a dedicated institution to handle the concerns of the state’s global diaspora. A delegation led by entrepreneur and philanthropist Dr. Ronald Colaco met Karnataka leaders and called for a separate ministry, secretariat and directorate to address issues ranging from welfare and legal assistance to investment facilitation and student support.

The discussion gained momentum after Karnataka Deputy Chief Minister D. K. Shivakumar announced plans to establish a dedicated NRI-focused government department aimed at strengthening engagement with overseas Kannadigas and attracting investment into the state. However, subsequent reports indicate that the government is still evaluating the proposal and examining whether a new department would overlap with existing agencies involved in investment promotion and administration. As a result, it remains unclear whether the final structure will be a full-fledged ministry, a department, a secretariat or another institutional arrangement.

The debate reflects a broader trend across India: states increasingly see their overseas populations not merely as emigrants sending remittances home, but as investors, skilled professionals, entrepreneurs and influential global networks.

What Karnataka Is Proposing

According to government announcements and diaspora representatives, the proposed NRI mechanism would focus on:

  •  Grievance redressal for overseas Kannadigas.
  •  Assistance in legal and property-related matters.
  • Support for overseas students and workers.
  • Emergency coordination during crises abroad.
  • Investment facilitation through a single-window system.
  • Stronger links between the state government and the global Kannadigas community.

Supporters argue that Karnataka, despite having one of India’s largest overseas professional communities, lacks a dedicated institutional framework comparable to those operating in several other states.

At the same time, the proposal appears to be evolving. While diaspora groups have demanded a separate ministry, government discussions have increasingly focused on the practical structure and whether existing departments can already perform some of these functions.

Other States Have Already Built Similar Institutions

Karnataka would not be the first state to create a dedicated diaspora-focused institution.

Kerala: India’s Most Developed NRI Model

The benchmark remains Kerala’s Non-Resident Keralites Affairs Department (NORKA), established in 1996 as the first state-level NRI department in India.

Over the years, NORKA has developed into a comprehensive system that includes:

  • Grievance redressal services.
  • Welfare programmes.
  • Insurance schemes.
  • Overseas recruitment support.
  • Assistance during emergencies.
  • Rehabilitation and entrepreneurship support for returning migrants.
  • Dedicated coordination with Indian missions and central government agencies.
  • Kerala has continued expanding these efforts. In recent years, it launched additional welfare and insurance initiatives for expatriate Malayalis and strengthened support systems for overseas workers and returnees.

Because of its institutional depth and longevity, NORKA is often cited as the model that other states seek to emulate.

Punjab maintains a dedicated Department of NRI Affairs along with a State Commission for NRIs.

The department has historically concentrated on:

  • Property disputes involving overseas Punjabis.
  • Legal assistance.
  • Complaint redressal.
  • Coordination with police and district administrations.

Punjab’s model emerged largely because of the large Punjabi diaspora in countries such as Canada, the United Kingdom, the United States and Australia.

Rajasthan: The Newest Entrant

Rajasthan recently established the Department of Domestic and Overseas Rajasthani Affairs (DORA).

The department focuses on:

  • Engagement with overseas Rajasthanis.
  • Investment promotion.
  • Diaspora outreach.
  • Grievance handling.

Because the initiative is relatively new, it is still too early to assess its long-term effectiveness.

Other States

Several other states have diaspora-focused bodies, though not always full ministries or departments.

These include:

  • Gujarat’s Non-Resident Gujarati initiatives.
  • Andhra Pradesh’s overseas Telugu engagement programmes.
  • Telangana’s NRI cell and migrant welfare efforts.
  • Tamil Nadu’s Overseas Tamils Welfare mechanisms.
  • Uttar Pradesh’s Pravasi engagement programmes.

The structures differ significantly, but the common goal is to maintain stronger links with overseas communities.

Why Governments Want Dedicated NRI Institutions

Supporters of dedicated NRI departments argue that they serve practical administrative needs rather than purely political objectives.

Millions of Indians live and work abroad. Many encounter challenges involving:

  • Labour disputes.
  • Immigration issues.
  • Property conflicts.
  • Documentation problems.
  • Fraud and recruitment scams.
  • Emergency evacuations.
  • Repatriation after deaths or crises.

Because responsibility for these issues is often spread across multiple agencies, a dedicated department can act as a single point of contact.

Investment and Economic Benefits

States also view their diasporas as valuable economic partners.

NRIs frequently invest in:

  • ·       Real estate.
  • ·       Healthcare.
  • ·       Education.
  • ·       Startups.
  • ·       Infrastructure projects.

A specialised institution can reduce bureaucratic hurdles and provide a single-window mechanism for investors.

For Karnataka in particular, this argument carries weight because many overseas Kannadigas work in technology, engineering, medicine and business sectors that align closely with the state’s economic priorities.

Emergency Response

Events such as the COVID-19 pandemic, conflicts in West Asia and sudden labour crises have demonstrated the importance of organised communication channels between governments and overseas citizens.

Departments like NORKA have often played an important role during such emergencies by coordinating with Indian embassies and helping affected expatriates.

The Limits of State-Level NRI Departments

Despite their benefits, such institutions face significant limitations.

Foreign affairs remain the exclusive responsibility of the Union government.

State governments cannot:

  • ·       Issue visas.
  • ·       Conduct diplomacy.
  • ·       Negotiate with foreign governments.
  • ·       Directly intervene in immigration policies.

As a result, state NRI departments largely function as coordination and facilitation bodies.

Another challenge is administrative overlap. Many of the functions proposed for NRI departments are already handled by investment agencies, labour departments, revenue authorities, police departments or the Ministry of External Affairs.

This concern appears to be one reason Karnataka is reviewing its proposal before making a final decision.

Are NRIs Becoming a Political Constituency?

The Karnataka debate also raises a broader political question.

Traditionally, NRIs were viewed primarily through the lens of remittances and economic contributions. Today, they are increasingly recognised as influential global communities with financial resources, professional networks and significant social influence.

Although most overseas Indians cannot easily participate in elections without travelling to India, diaspora groups often influence public opinion through:

  • ·       Community organisations.
  • ·       Social media networks.
  • ·       Business associations.
  • ·       Philanthropic initiatives.
  • ·       Political advocacy campaigns.

This has led some critics to question whether governments are creating NRI institutions primarily for welfare purposes or partly to cultivate influential support networks abroad.

Critics argue that if such departments are not carefully structured, they could evolve into:

  • ·       Patronage networks.
  • ·       Donation channels.
  • ·       Elite lobbying platforms.
  • ·       Preferential access systems for wealthy expatriates.

Supporters counter that these concerns should not overshadow the genuine administrative needs of millions of overseas Indians. They argue that transparency, independent oversight and clear accountability mechanisms can prevent misuse.

What Has the Central Government Done for NRIs?

The Union government has significantly expanded diaspora engagement over the past few years.

Key initiatives include:

  • ·       Expansion of digital consular services.
  • ·       Continued reforms under the e-Migrate system to protect overseas workers.
  • ·       Pravasi Bharatiya Divas outreach programmes.
  • ·       Increased focus on Overseas Citizen of India (OCI) services.
  • ·       Measures to simplify investment and financial transactions for NRIs and OCIs.
  • ·       Consular assistance and evacuation support during international crises.

The central government’s approach has generally focused on economic engagement, worker protection, cultural ties and strategic outreach rather than creating a separate political constituency.

A Test Case for the Future

Karnataka’s proposal comes at a time when states are increasingly competing for global capital, skilled professionals and diaspora engagement.

Whether the state eventually creates a ministry, department, secretariat or another institutional mechanism, the debate highlights a larger transformation in Indian governance.

Overseas Indians are no longer seen solely as remittance senders. They are increasingly viewed as investors, innovators, knowledge partners and global ambassadors for their home states.

The success of any future Karnataka NRI institution will ultimately depend on whether it delivers practical benefits—faster grievance redressal, better investment facilitation and stronger welfare support—or whether it becomes another layer of bureaucracy.

The larger question remains unresolved: are Indian states building these institutions because NRIs genuinely need them, or because overseas communities are becoming an increasingly valuable source of influence, funding and political capital?

Why This Feels Like Maha Kalyug for Indian Visa Holders in the USA

Person facing a path with signs about delays and uncertainty for Indian visa holders in the USA.

134 years.

That’s how long the green card wait can stretch for an Indian on H-1B, according to recent backlog models.

Not 134 months. Years.

Your grandchildren could inherit your place in the queue.

If that number doesn’t stop you, this one will: a Cato Institute study estimates 424,000 people will die waiting for their employment-based green card. Over 90% of them will be Indian.

Our scriptures have a word for an age like this. An age where you do everything right — and the universe still moves the goalpost.

Kalyug.

And for Indian visa holders in America right now? This isn’t just Kalyug.

This is Maha Kalyug. Here’s why.


The Weekend America Panicked Its Best Engineers

September 19, 2025. A Friday.

President Trump signs a proclamation: $100,000 fee on H-1B petitions. Effective Sunday.

Forty-eight hours’ notice.

What happened next felt like a scene from a disaster movie. Engineers in Bengaluru for their sister’s wedding abandoned the reception and booked one-way flights back. Companies sent midnight emails: get on a plane, now. The Indian Embassy in Washington opened an emergency helpline — the kind of thing you do after an earthquake, not a visa memo.

India’s Ministry of External Affairs publicly warned of “humanitarian consequences.”

For a program where Indians hold roughly 71% of all visas, that fee wasn’t a policy tweak.

It was a wall — with our community’s name on it.


Then the Plot Twisted. Twice.

Nine months later, June 2026: a federal judge strikes the fee down. Judge Leo Sorokin rules the government had no authority to impose what was, in effect, a tax. Only Congress can do that.

Victory? The community exhaled for about a week.

Then DHS called the ruling “blatant judicial activism” — and appealed.

And just days ago, a new proposal surfaced at the State Department: a refundable bond of up to $100,000 for certain green card applicants.

Read that timeline again. In ten months, the same community was told:

The fee is $100,000. The fee is annual. No wait — one-time. It doesn’t apply to you. Actually, it’s illegal. Actually, we’re appealing. Actually… how about a bond?

That whiplash isn’t a side effect.

Functionally, it is the policy. Uncertainty makes people give up and leave on their own. No law required.


July 2026: The Month the Queue Simply… Closed

While the fee drama played out in court, something quieter and crueler happened.

The July 2026 Visa Bulletin — the monthly document that decides a million Indian futures — dropped two bombs.

EB-2 India: UNAVAILABLE. Not delayed. Not retrogressed. Gone. The annual quota for Indians exhausted, zero green cards issuable until October.

EB-1 India: moved BACKWARD — to October 2022. The “extraordinary ability” fast lane, the one for the geniuses and the award-winners? Now also a parking lot.

Why does this keep happening? One brutal piece of math.

US law caps every country at about 7% of employment green cards — roughly 9,800 per year for India. Against a backlog of 300,000+ Indian professionals (over a million once you count spouses and kids).

Pakistan? Somalia? Applicants from smaller-volume countries often wait two years or less.

Indians: 50 years. 80 years. 134 years.

Same degrees. Same taxes. Same rules followed. Different birthplace.


The Traps Inside the Trap

The backlog is the disease. But 2025-26 added infections on top. Each one deserves its own headline:

The lottery is being rewired. In December 2025, DHS moved to weight H-1B selection by wage level instead of random chance. Translation: fresh graduates, researchers, teachers — priced out. One expert called the new H-1B a “luxury work permit.”

Going home became a gamble. Dropbox (interview waiver) eligibility? Slashed. Most people now need in-person interviews, and appointment backlogs in India stretch for months — Delhi is the worst. The old hack of stamping in Canada or Mexico? Largely shut down.

So people skip weddings. Skip funerals. Skip a dying parent’s last days. Because leaving America means betting you can return.

Spouses are on the chopping block. Proposals would end automatic H-4 work-permit extensions. If USCIS is slow with a renewal — and it will be — thousands of spouses, many engineers and doctors themselves, must simply stop working. Mid-career. Mid-mortgage.

The system itself is drowning. USCIS backlog: a record 11.3 million pending cases. H-1B petition processing times up 80% year-on-year. Work-permit backlogs nearly doubled.

And the kids age out. Turn 21 while your parents are still in the queue? You fall off their application. A child who arrived at four, who knows no other home, becomes an “international student from India” overnight. Back of the line. Start again.

Even the entrance is narrowing: student visas issued to Indians fell by nearly a third in early 2025, then almost half by mid-year.

The pipeline is being squeezed at the entrance, the middle, and the exit. Simultaneously.


Why “Kalyug” Is Exactly the Right Word

Here’s the part that cuts deepest — and it’s not about any single rule.

Every Indian parent taught the same covenant: study hard, follow the rules, wait your turn, and the system will honor it.

No community honored that deal more faithfully. Front door. Every form filed. Every fee paid. Every tax on time.

Kalyug, in the scriptures, is the age when that covenant breaks. When dharma stands on one leg. When effort and outcome come unhooked from each other.

A doctor who’s saved American lives for 18 years — undone by a delayed receipt notice.

A family’s 25 years of perfect compliance — outweighed by a wage-band algorithm.

A queue you joined in 2012 — stamped “UNAVAILABLE” in 2026, through no act of yours.

That’s not a policy problem. That’s a cosmology problem. And the community feels it in its bones.


But Here’s What the Scriptures Also Say

Kalyug comes with a strange consolation: it’s the age when small acts of dharma count double.

Translated for 2026:

File everything early — processing time is now the enemy. Keep documents battle-ready — retrogression punishes the unprepared. Ask your attorney about EB-3 downgrades — some windows, the “slower” lane moves faster for Indians. Plan any India trip like a military operation. And if your I-485 is filed, breathe: retrogression delays approval, it doesn’t kill the application.

But the bigger truth is this.

None of it changes until the per-country cap does. The fix has a name — bills like the Equal Access to Green Cards for Legal Employment Act have been introduced again and again. And died. Again and again.

Five million Indian-Americans. The wealthiest, most educated immigrant community in US history. And the one lever that would drain the entire backlog remains unpulled.

The scriptures promise one more thing about the age of discord: it ends.

The only question is whether this community waits for the yuga to turn on its own —

— or turns it.


Developments current as of July 2026. This landscape is shifting weekly — consult a licensed immigration attorney before acting on anything here.

The AI Brain Drain: How Meta is Poaching Its Way to Superintelligence

Meta’s aggressive recruitment is not just making headlines — it’s blowing up, and we’re not surprised. The numbers are what make it astonishing: $100 million deals.

With that kind of hike, it’s worth the hype and the surprise. It’s the declaration of a talent war, where many tech elites are switching sides.

While the compelling offer of $100 million (and more) has attracted many, others have turned it down.

What is this Attractive Offer by Meta?

As we witness this massive shift in allegiance and alliance, it’s definitely worth asking: what did it take to get top researchers to leave their comfortable positions?

On the surface, we’ve heard about $100 to $200 million over four years — but there’s more in store. Some offers were reportedly at billion-dollar levels.

Meta has also acquired stakes in AI startups like Scale AI ($14.3 billion for a 49% stake).

They’re reportedly planning to hire key figures like Daniel Gross of Safe Superintelligence and former GitHub CEO Nat Friedman, alongside their investment firm NFDG, showing just how much financial muscle Meta is flexing.

Silicon Valley’s Talent Wars: A Strategic History

This isn’t Meta’s first rodeo. Silicon Valley has been playing the talent acquisition game for decades, and the precedent is telling.

In the early 2010s, Apple, Google, Intel, and Adobe faced a major lawsuit for colluding to avoid poaching each other’s engineers — essentially an anti-competitive pact that ended up costing them $415 million in class-action settlements.

Since then, the poaching trend went underground but became significantly more strategic. 

Apple and Google have been quietly competing over AI talent for years, with Google offering massive bonuses specifically to retain key engineers who might otherwise jump ship.

The Uber vs. Google/Waymo case in 2017 showed exactly where the legal boundaries lie. Uber was accused of stealing trade secrets after hiring a former Google engineer, ultimately settling for $245 million and demonstrating the real risks when aggressive hiring crosses into questionable territory.

Now Meta has entered with a war chest that outshines those previous efforts. But they’re not just throwing money around — they’re systematically targeting the architects, the breakthrough minds, the people who actually drive innovation forward.

Meta’s approach shows they understand the legal landscape well and are working within established frameworks while pushing boundaries.

The current playbook involves several key strategies:

“Clean Room” Development: Companies establish isolated workspaces where new hires are instructed not to reference their previous employer’s work, basically telling them, “Hey, don’t use what you know from before, just use your general genius.” The practical effectiveness remains debated, but it provides legal protection when challenged.

General Expertise Hiring: Organizations frame recruitment around broad intelligence and experience rather than specific proprietary knowledge. This makes it harder to prove violations since general expertise is more difficult to regulate legally.

Jurisdictional Advantages: California’s legal environment makes non-compete agreements largely unenforceable, though NDAs and IP clauses remain binding. Enforcement typically requires substantial digital evidence.

Temporal Separation: Strategic waiting periods before involving new hires in critical projects create legal distance from previous work, even when everyone understands the underlying dynamics.

The collaborative nature of AI research provides natural cover. When multiple organizations work on similar problems, proving deliberate knowledge transfer versus independent development becomes extremely challenging.

Industry Leadership Weighs In

OpenAI’s Sam Altman has been notably direct about Meta’s recruitment tactics. Speaking on the Uncapped podcast, he revealed the scale of what his team is facing:

 “They started making these giant offers to a lot of people on our team … like $100 million signing bonuses, more than that compensation per year … so far none of our best people have decided to take them up on that.”

Altman’s criticism goes beyond the numbers, questioning the cultural implications: “To the degree to which they’re focusing on that, and not the work and not the mission, I don’t think that’s going to set up a great culture.”

It’s a pointed critique, but when someone’s offering $100 million signing bonuses, even the most mission-driven researchers have to at least consider what that kind of financial security could mean for their families and future work.

Ethics? What Ethics?

This is where things get messy.

Is Meta building the future… or just absorbing everyone else’s homework? When a trillion-dollar company starts scooping up entire R&D teams, it stops being innovation and starts looking like IP laundering.

No, it’s not illegal to be smart. But it gets ethically dicey when the smartest people from your rivals suddenly help your team “rethink” a suspiciously similar approach.

Even OpenAI’s CEO couldn’t hold back — publicly calling out Meta for throwing around $100M bonuses to lure his researchers. That’s not a collab. That’s a talent raid.

The bigger question: when you can outspend everyone else by orders of magnitude, are you competing on merit or just financial firepower? And what happens to the smaller labs that can’t play in this billion-dollar sandbox?

The Broader Impact

Meta’s recruitment strategy is reshaping the entire AI ecosystem in ways that extend far beyond individual job changes.

The financial scale is setting new compensation expectations across the industry. When one company offers generational wealth as signing bonuses, other organizations face an impossible choice: match the spending or lose their talent. Most simply can’t compete at these levels.

This creates a concerning concentration dynamic. AI talent was already scarce, and now it’s increasingly flowing toward whoever has the deepest pockets. 

That’s not necessarily great for innovation diversity or the kind of distributed development that has historically driven AI progress.

There’s also the question of what happens to collaborative research. The traditional academic-style openness that has characterized much AI research faces pressure when the financial stakes reach these levels. Competition at this scale doesn’t exactly encourage knowledge sharing.

Looking Ahead

Meta’s talent acquisition strategy represents a significant bet: that assembling the most expensive team in AI history will accelerate their path to superintelligence. 

Whether that bet pays off depends on some fundamental questions about how breakthrough innovation actually happens.

The approach is testing established norms around talent mobility, competitive practices, and the role of financial incentives in driving innovation. 

The results will likely influence how the entire industry approaches talent acquisition going forward.

What’s certain is that the competition for AI leadership has evolved well beyond technical capabilities. It now encompasses talent acquisition, organizational culture, and strategic positioning at unprecedented financial scales.

The talent war is officially on. And in a field where the winner might fundamentally reshape human civilization, maybe $100 million signing bonuses aren’t as outrageous as they first appear.

When Research Becomes a Shortcut: The Quiet Link Between Paper Mills and U.S. Green Cards

You don’t have to be a scientist to know something’s off when hundreds of research papers get retracted at once. It’s happening more often now—and not just because of sloppy work or accidental mistakes. There’s a deeper pattern underneath, one that reaches from Indian universities all the way to the doors of U.S. immigration.

Let’s start with the basics.

In the world of academia, publishing papers is a kind of currency. It helps you get promotions, earn grants, and build a reputation. In India especially, this pressure has turned into a kind of race. Many universities expect a steady stream of publications, regardless of whether the research actually contributes anything new. The result? A booming market for what’s politely called “research support,” but often looks more like ghostwriting, citation swaps, or outright manipulation.

Earlier this year, over 600 articles were pulled from a single journal publisher due to problems with peer review and paper quality. And that’s just one case. Retractions like these have become a regular feature of academic watchdog reports. Yet somehow, the researchers involved often go on without facing much pushback from their institutions.

So what does any of this have to do with U.S. immigration?

Here’s where it gets interesting.

The EB‑1A green card—a category meant for people with “extraordinary ability”—is one of the fastest ways for highly skilled professionals to get permanent residency in the United States. It’s especially popular among researchers, academics, and scientists. But there’s a catch: applicants have to prove their achievements. And for many, that proof comes in the form of published research, citations, and awards.

This has opened up a loophole.

Some applicants have figured out that you don’t necessarily need groundbreaking work to build a strong-looking profile. What you need are enough papers with your name on them and a decent number of citations. That’s where the machinery kicks in—people pay to get listed as co-authors, use citation rings to artificially boost their numbers, or publish in obscure journals that don’t ask too many questions.

It’s not hard to see why this works. To an immigration officer who isn’t an academic specialist, a list of publications and citations might look convincing. There’s a paper in an international journal. There’s someone else citing it. It all adds up—on paper, at least.

But once USCIS started noticing patterns—like sudden surges in citation counts, or applicants with ten papers in six months—the scrutiny increased. Requests for evidence and denials followed. And even legitimate researchers started facing more hurdles.

It’s a mess. But it also reflects a much larger problem.

The fact that research credentials can be manufactured so easily says something uncomfortable about how we treat knowledge. When a published paper becomes more about appearances than ideas, it stops being a marker of excellence. It becomes a transaction. And when that transaction is tied to something as high-stakes as a green card, the incentive to game the system grows.

There’s also a reputational cost. The more these cases surface, the more everyone with a similar background comes under suspicion. Researchers who’ve worked hard and played by the rules may now face delays, extra documentation, or flat-out disbelief.

It would be easy to chalk this up to a few bad actors. But that would miss the point.

This isn’t just about immigration. It’s about how we reward research, and how easy it is to fake excellence when quantity is valued more than quality. It’s about how academic institutions rarely enforce consequences, and how an entire ecosystem—from journals to immigration services—can be misled by something that looks like achievement but isn’t.

None of this means research credentials shouldn’t matter in immigration. They absolutely should. But we’re overdue for a tougher conversation about how we define merit—and whether the systems that rely on it are equipped to tell the difference between what’s real and what’s been put together for show.

Because once credibility slips away, it’s not just researchers who lose. It’s the institutions, the countries, and the people trying to do things the right way who pay the price.