Karl Mehta Profile picture
Jul 21 15 tweets 5 min read Read on X
BREAKING: Norway's $2 trillion wealth fund ran a 12-month AI experiment.

They gave Claude access to their entire investment workflow.

Result: 213,000 hours saved. 20% productivity boost.

But what they found hiding in the data changed everything:

A Thread 🧵 Image
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Meet Nicolai Tangen, CEO of NBIM - the world's largest sovereign wealth fund.

700 employees managing $2 trillion in assets.

In 2022, he made a strategic decision that would reshape their entire operation.

But first, he had to address significant organizational resistance... Image
Tangen began systematically advocating for AI adoption across his 670-person team.

The challenge? Most investment professionals viewed AI as potentially disruptive to established workflows.

Traditional analysts were spending days on tasks that seemed impossible to automate.

Then Claude was introduced...
The first major breakthrough came with their Snowflake data warehouse integration.

Portfolio managers could suddenly query complex datasets using natural language.

What previously required technical SQL expertise now took seconds.

But this was just the initial phase... Image
Next, they implemented automated earnings call analysis.

Claude could process hours of executive commentary and extract key insights efficiently.

Risk managers were analyzing significantly more companies in the same timeframe.

Meanwhile, something important was happening behind the scenes...
NBIM monitors news for 9,000 companies across 16 languages.

Before Claude: Teams of analysts, days of manual work.
After Claude: Minutes of automated analysis with structured insights.

The efficiency gains were substantial, but they discovered an unexpected pattern...
The Investment Simulator revealed a critical insight:

Human portfolio managers were making predictable behavioral decisions that impacted returns.

AI could identify these patterns with 95% accuracy.

The fund was experiencing losses due to cognitive biases...
Here's where Tangen made his most decisive move:

"It can't be voluntary. If you don't use AI, you will never be promoted."

He implemented mandatory AI adoption across all 700 employees.

The organizational response was mixed... Image
But the measurable results were compelling:

• 20% productivity gains (213,000 hours saved annually)
• $100 million in trading cost savings
• 95% accuracy in voting decisions
• 49 million transactions optimized globally

The business case was clear.
The voting system became particularly effective.

They input 40-50 page executive compensation documents into Claude with their guidelines.

AI recommendations achieved 95% accuracy.

Even their notable "no" vote on Elon Musk's $56 billion Tesla package was AI-assisted.
Today, 100% of NBIM employees use Claude.

They're targeting $400 million in annual cost savings.

The fund that once struggled with efficiency is now leading AI adoption in asset management.

The key lesson wasn't just about technology... Image
It was about understanding human decision-making.

The AI didn't just automate processes - it identified costly behavioral biases.

Portfolio managers learned their emotional decisions were predictable and measurable.

AI became their analytical partner, not their replacement.
Tangen's framework for other executives:

"Don't make AI voluntary. Measure everything. Start with specific use cases."

He's now implementing selective hiring - prioritizing AI-skilled staff for new positions.

The strategy is clear: Build capabilities systematically. Image
P.S. If you're an SMB company in the healthcare or BFSI sector…

I've built an AI platform that helps you spot problems in your business before they happen.

Curious which insights could save you millions?

You can book a demo here, and we'll map it out: predixtions.com
Thanks for reading.

If you enjoyed this post, follow @karlmehta for more content on AI and politics.

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More from @karlmehta

Nov 13
BREAKING: Salesforce's $200B company ran a 9-month AI experiment.

They gave AI agents access to their entire customer support, engineering, and sales.

Result: 1 million conversations. 360,000 hours saved.

But what Marc Benioff admitted on camera changed everything:

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Marc Benioff promised 1 billion AI agents by year-end at Dreamforce.

Inside Salesforce right now: AI does 30-50% of work in engineering and support. 1,000+ jobs cut. No more coders hired.

This isn't a pilot. It's workforce replacement at scale.
The results look incredible.

1 million customer conversations handled. 32,000 weekly. 360,000 developer hours saved annually.

44,000 hours saved by sales teams.

But then I watched his Bloomberg interview...
Read 17 tweets
Nov 9
Harvard just proved bedroom temperature controls sleep quality.

Participants fell asleep in 6.2 minutes when cool vs 20 minutes when warm.

Yet most people still don't optimize this simple factor.

Here's the exact temperature range that triggers deep, restful sleep: 🧵 Image
Your core body temperature is the key.

When it drops by just 1°F, your brain floods with melatonin and initiates deep, restorative sleep.

Harvard researchers stumbled upon this when they noticed something strange...
Test subjects in cool rooms fell asleep 70% faster than those in warm rooms.

6.2 minutes vs 20 minutes.

The difference? Their core temperature dropped naturally, activating the body's built-in sleep pharmacy.
Read 13 tweets
Nov 5
BREAKING: JPMorgan Chase gave 200,000+ employees access to AI tools.

This was the world's largest AI experiment in history.

Result: 15+ million hours saved annually. $2+ billion in productivity gains.

But what they found hiding in the data changed everything:

A Thread 🧵 Image
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Jamie Dimon just revealed JPMorgan's AI strategy at the Data + AI Summit.

While most companies are still planning, JPMorgan has already deployed AI across 300,000 employees in 100 countries.

The scale is unprecedented.
JPMorgan invests $2 billion annually on AI initiatives alone.

That's out of their total $18 billion technology budget.

With 55,000 programmers and a 200-person dedicated AI research team, they've built the industry's most advanced AI infrastructure.
Read 17 tweets
Nov 3
She predicted:

• The Deep Learning revolution (2012)
• AI's blindness to the physical world (2018)
• The shift to world models (2024)

Now Fei-Fei Li revealed the 5 next AI waves reshaping every physical industry.

Here's what you should know (& how to position yourself): 🧵 Image
First, her track record:

Li created ImageNet, the dataset that triggered the AI revolution.

She leads Stanford's Human-Centered AI Institute. Her startup World Labs just raised $230 million.

When Li makes predictions, the entire AI industry pays attention.
1/ Spatial intelligence is the missing piece for AGI

Current AI lives in flat, 2D space. It can write essays about riding a bike but can't understand balance or how objects interact.

Li's World Labs raised $230M to build systems that perceive and interact with 3D environments.
Read 13 tweets
Nov 1
Elon Musk's new interview with Joe Rogan just went viral.

And he's NOT just talking about SpaceX or Tesla.

Instead, he revealed what terrifies him most about AI... and it's not the technology itself.

Here are 8 shocking insights from their 3-hour conversation: 🧵 Image
1/ Instilling The Right Values In AI

@elonmusk's biggest fear isn't AI becoming too powerful. It's forcing AI to believe things that are false.

"If you tell AI that diversity is most important and misgendering is worse than nuclear war... you get very dystopian outcomes."
2/ Your Entire Media Diet Will Be AI-Generated

"Most of what people consume in 5-6 years, maybe sooner, will be just AI generated content."

Music, videos, news—everything personalized and created in real-time.

Human-made content becomes a niche hobby.
Read 12 tweets
Oct 28
Blue Light exposure at night is quietly destroying your health.

It accelerates aging, chronic fatigue, and even weight gain.

Since 70% of adults have exposure to blue light at night...

Here's what you should probably know and the ONE habit that will slow down aging rapidly: 🧵 Image
Most people think it's just about sleep quality.

They're wrong.

What's happening inside your body when you scroll at 11 PM is far more dangerous than anyone realizes...
In 2015, Harvard researchers conducted a breakthrough study.

They had participants read on an LED tablet for just 2 hours before bed.

The results? Melatonin levels dropped by 55%. Sleep onset delayed by 1.5 hours.

But that wasn't the worst part... Image
Read 13 tweets

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