Shawn Chauhan

How much should a wedding cost?

In America: 2 months' salary
In Europe: 6 months' salary
In India: 20 years of savings

Here's the untold story of how India's $50B wedding industry is destroying an entire generation 🧵 

Every year, millions of Indian families spend 20% of their lifetime earnings on a single day.

The average middle-class family takes loans of ₹4 lakhs ($4,800) for weddings.

Many sell their assets or mortgage homes.

But this wasn't always the case. 

In the 1990s, Indian weddings were primarily cultural celebrations.

Today? They're a $50 billion industry growing at 25% annually.

What changed? 

The rise of "Instagram weddings" created impossible standards:

- Designer wear
- Destination venues
- Celebrity performers
- Luxury gatherings

But the real cost isn't just financial. 

In India there is a 300% increase in wedding-related anxiety cases in the last decade.

The numbers are shocking:

- 67% report severe anxiety
- 42% experience depression
- 31% have suicidal thoughts

All tied to wedding preparations.

The pressure comes from every direction: 

1. Family demanding grand celebrations

2. Society linking family honor to wedding scale

3. Social media creating unrealistic expectations

4. Peers constantly comparing ceremonies

The impact? A perfect storm of mental health issues. 

Meet Priya (name changed), a 25-year-old software engineer from Delhi.

Her parents' annual income: ₹8 lakhs ($9,200)
Expected wedding cost: ₹25 lakhs ($29,000)

The math doesn't add up. But society doesn't care.

The wedding loan industry is booming:

- 45% increase in 5 years
- Rising default rates
- Young couples starting life in debt

But something interesting is happening.

A new generation is fighting back.

Post-COVID, intimate weddings are rising:

- 50-100 guests instead of 500+
- Focus on experiences over extravagance
- Digital celebrations gaining acceptance

The results are:

- Lower costs
- Reduced stress
- More meaningful celebrations 

But the industry isn't backing down.

Wedding planners, designers, and venues are pushing back:

- "It's once in a lifetime"
- "What will people say?"
- "Think about family prestige"

The solution? Experts propose a three-pronged approach: 

1. Policy Changes:

- Cap on wedding expenses
- Regulation of wedding loans
- Tax benefits for smaller weddings 

2. Mental Health Support:

- Pre-wedding counseling
- Family therapy
- Support groups

3. Cultural Shift:

- Promoting sustainable celebrations
- Challenging social pressure
- Prioritizing couple's well-being 

The movement is growing.

Young couples are choosing:
- Court marriages
- Intimate gatherings
- Charity donations over expensive functions

The big fat Indian wedding might be a $50 billion industry.

But the human cost? 

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I hope you've found this thread helpful.

Follow me @shawnchauhan1 for more.

Like/Repost the quote below if you can:

The way Warren runs Berkshire Hathaway is insane.

Only 26 people in the middle of nowhere (Omaha) manage almost 400,000 employees.

But to get here, Buffett had to self-manufacture and scale a very unconventional model.

Here's the full story: 

In 1972, they made a purchase that changed everything: See's Candies.

Berkshire bought See's for $25M.
Over the subsequent couple of decades, See's paid BRK over $2 billion in dividends.

It gave Berkshire enough cash to re-deploy and the snowball to begin rolling. 

The acquisition of See's Candies helped shape Buffett's business philosophy.

1. Buy simple businesses.
2. Extreme delegation.

Warren never even pretended to influence operations, besides pricing.
Chuck Huggins was fully in charge. 

Wooden was one of the best basketball coaches ever.
His strategy was perfect.

Find the best players out there and concentrate the playing time on only them. Skill and intelligence compound.

After successfully partnering with Chuck, they doubled-down on The Wooden System. 

Buffett and Munger only look to partner with incredibly high-quality managers.

These high-class businesspeople don't need any instructions.
They permit a system of Level 5 delegation. 

After recognizing the power of this idea, and how scalable it is, they continued acquiring businesses like See's - Great economics and wonderful managers in place.

But Berkshire imposes one requirement:
"Basically we tell them to mail all the money to Omaha."

Warren is perfectly fine with delegating operations, but excess capital is sent to Omaha for him to allocate.

This is the greatest example of The Wooden System.

Berkshire gives playing time to all of these extraordinary individuals in what they do best, including Buffett. 

Berkshire owns dozens of businesses that do over $40 billion in cash flow.
On aggregate, they have 396,414 employees.

The curious thing, only 26 people are at headquarters.
How do they get away with managing all that?

"We delegate almost to the point of abdication." 

There are three key characteristics of Berkshire's model that were instrumental in their success:

1. Extreme Simplicity
2. Well placed incentives.
3. They built a "seamless web of deserved trust"

Let's briefly go over each.

A common mistake is thinking that, with increased scale should come increased complexity.

There's no extra reward for doing complicated things.
Go for simple, though with caution.

"Make things as simple as possible, but not simpler." 

Their absolute emphasis on this point impregnates the whole of Berkshire.

This is their website. (Extreme Simplicity) 

2. Managers' incentives and compensation schemes follow this guideline as well.

-Tailored to specific businesses' economics and situation.
-Easy to measure if goals are being hit.
-'Directly related to the daily activities of the plan participants.' 

3. No amount of compliance can fully impede misbehavior.
There's no replacement for trust.

The problem is finding trustworthy people.
When Buffett and Munger found any, they welcomed them to the family. 

To tie it all back together, the way they make deals with people illustrate all three keystones of their approach to business.

They've built an empire by scaling what's simple and looking for trustworthy people. 

IThanks for reading! A bit about me:

I’m Shawn, a Generative AI Consultant passionate about building AI-driven solutions. I write about AI, startups, and the future of work. 

China’s $500 million AI cluster was shut down overnight—by NVIDIA.

A "routine" driver update burned out 12,000 GPUs.

Accident? Insiders say otherwise.

Here’s the shocking tech sabotage story no one’s talking about 🧵 

On January 30, NVIDIA quietly pushed driver version 572.16, supposedly a standard update for their new RTX 5090 &amp; 5090D GPUs.

Within hours, chaos erupted on forums worldwide—GPUs went dark, permanently bricked.

Coincidence? Insiders aren't buying it... 

Users from Reddit to Baidu reported their \$4,000 GPUs instantly became "unrecognizable" after the update.

Consumer outrage was swift—but this wasn't about gaming PCs.

Something far bigger was happening behind closed doors: 

China's AI research clusters run on over 12,000 NVIDIA GPUs each, specifically the RTX 5090D variant made just to bypass strict U.S. export laws.

The scale matches perfectly with a Chinese state-affiliated paper detailing clusters of exactly 12,288 GPUs.

These GPUs are China’s lifeline for AI dominance—and NVIDIA had just crippled them.

Why did the GPUs brick?

NVIDIA quietly raised the GPU voltage by 80 mV to stabilize performance—a minor tweak, or so they claimed.

But engineers quickly discovered voltages spiked dangerously high, burning out vital chips permanently. 

Experts from NVIDIA’s own forums confirmed that voltage spikes reached dangerous levels—enough to blow circuits designed for cheaper export-spec GPUs.

Suddenly, China’s massive AI clusters were at risk.

For Beijing, the timing couldn't have been worse.

The outage lasted a grueling 36 hours, a full training epoch lost—catastrophic in a global AI arms race.

And the political implications are clear:

U.S. lawmakers have openly discussed embedding remote kill-switches into exported AI chips.

And this suspicious driver update looks exactly like the "kill switch" in action.

NVIDIA, facing backlash, scrambled to issue a new driver—quietly removing the dangerous voltage tweak. 

Yet damage was done: NVIDIA admitted to "low-volume hardware failures," a carefully vague confession.

Meanwhile, NVIDIA’s share price remained unscathed—because no public admission about China’s losses surfaced.

But insiders knew the truth: the world’s largest GPU maker had just flexed its geopolitical muscle.

Was it intentional sabotage? The evidence stacks up:

-  Means: NVIDIA’s driver update had kernel-level access and could silently deploy damaging firmware.

- Motive: Crippling China’s AI infrastructure provides the U.S. with an enormous competitive advantage.

- Opportunity: The RTX 5090D GPUs had just shipped, all vulnerable to a synchronized software attack.

Analysts, however, remain skeptical.

NVIDIA risking its corporate reputation seems unimaginable.

Yet the reality remains: the incident exposed a devastating vulnerability.

Here's the real story no one's talking about:

Beijing believed hardware was a safe bet—stable, secure, and untouchable.

NVIDIA proved them wrong overnight.

One small software tweak brought a multi-billion-dollar AI supercomputer cluster to its knees.

This isn't just about GPUs.

It's about the new era of geopolitical leverage:

Tech supremacy, not armies, decides power.

NVIDIA’s quiet move revealed the terrifying truth: 

Even trillion-dollar industries can be instantly destabilized by the hands behind everyday software.

NVIDIA’s subtle tweak sent a clear, chilling message—hardware dominance means nothing without control over the code running it.

One quiet update. Thousands of GPUs bricked.

China’s institutional power and billions invested?

All meaningless compared to a single company’s hidden leverage.

The future of AI competition just shifted—permanently. 

I’m Shawn, a Generative AI Consultant passionate about building AI-driven solutions.

I write about AI, startups, and the future of work. 

If you found these insights valuable: Sign up for my free AI newsletter!

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