No matter what American white racists wants you to believe, Indians! please do not fall for it!! and don't let it shake your self confidence.
Indians make up just 1.5% of the US population which is around 5.1 million people.
But their impact is massive, share it with those basement dweller racists, whenever they throw a slur at you from their basement.
The Impact 👇
1. They contribute over 5-6% of the country's taxes ($250–300 billion annually) when they are just about 1% of total population.
2. 10% Of all US patents have an Indian inventor.
3. 10% of doctors are of Indian origin, serving nearly 30% of patients.
4. They own 60% of all hotels in the US.
5. 11% of US unicorns have an Indian founder.
6. 70% of US colleges have an Indian in top leadership.
7. 78% of Indians in the US have a college degree (vs. 36% national average).
8. Indian kids have won over 80% of Spelling Bees in the past 30+ years.
9. Even in food: Indian restaurants are just 1% of total, but 3% of Michelin-starred ones are Indian.
10. Plus, in 2023 alone, the Indian diaspora donated $1.5 billion to US causes and $800 million to India.
This is real soft power earned through hard work, education, and entrepreneurship.
But those basement dwellers high on conspiracies, blaming Indians for their miserable lives...will still stick to their delusion where all Indians are frauds, scammers and with fake degrees!!
Two economists just published a mathematical proof that AI will destroy the economy.
Not might. Not could. Will — if nothing changes.
The paper is called "The AI Layoff Trap." Published March 2, 2026. Wharton School, University of Pennsylvania. Boston University. Peer reviewed. Mathematically modeled.
The conclusion is one sentence.
"At the limit, firms automate their way to boundless productivity and zero demand."
An economy that produces everything. And sells it to nobody.
Here is how you get there.
A company fires 500 workers and replaces them with AI. A competitor fires 700 to keep up. Another fires 1,000. Every company is behaving rationally. Every company is following the incentives correctly. And every company is building a trap for itself.
Because the workers who were fired were also customers.
When they lose their jobs faster than the economy can absorb them, they stop spending. Consumer demand falls. Companies respond by cutting costs — which means automating more workers — which means less spending — which means more falling demand — which means more automation.
The loop has no natural exit.
The researchers tested every proposed solution. Universal basic income. Capital income taxes. Worker equity participation. Upskilling programs. Corporate coordination agreements.
Every single one failed in the model.
The only intervention that worked: a Pigouvian automation tax — a per-task levy charged every time a company replaces a human with AI, forcing them to price in the demand they are destroying before they pull the trigger.
No government has implemented this. No major economy is seriously discussing it.
Meanwhile the numbers are already tracking the curve. 100,000 tech workers laid off in 2025. 92,000 more in the first months of 2026. Jack Dorsey fired half of Block's workforce and said publicly: "Within the next year, the majority of companies will reach the same conclusion."
Nobody is doing anything wrong. Companies are following their incentives perfectly. That is exactly the problem.
Rational behavior. At scale. Simultaneously. With no mechanism to stop it.
Two economists built the math. The math leads to one place.
Source: Falk & Tsoukalas · Wharton School + Boston University ·
Scientists copied a fly's brain onto a computer and gave it a digital body; the results were shocking.
Now they want to do it with humans.
Source: badxstudio on IG
New fully automated stacking cranes at the Port of Long Beach
The Long Beach Container Terminal is the first fully automated container terminal in the United States, with both driverless cranes and driverless vehicles to transport containers
572 full time jobs were eliminated. Full automation began in 2021
🚨 HE FOUND OUT WHAT $29K GETS YOU AT A CHINESE CAR DEALERSHIP… AND IT MAKES NO SENSE
On his second day in China… he walks into an Avatr premium Chinese intelligent electric vehicle dealership.
He sits in a car and instantly is blown away.
• Massive full-width screens
• Glass panoramic roof
• Camera side mirrors
• Self-adjusting seats when you get in
• Premium red leather interior
• Looks like a Mercedes
Fully loaded.
Then they show him the price.
Only $29,000.
Brand new.
Top spec.
He’s told lower models are closer to $20K.
Meanwhile in the U.S.?
You’re paying $40K–$70K+ for cars with:
• Less tech
• Fewer features
• Cheap interiors
• Add-ons locked behind subscriptions
So why are we paying double for less in the U.S.… and who’s pocketing the difference?