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

Oct 21
This is Satchin Panda.

He's a biology professor who's studied circadian rhythms for 20+ years.

His message? Your body has an internal clock—and ignoring it causes diabetes, weight gain, and early aging.

Here are 6 timing tricks to sync your circadian rhythm: 🧵 Image
Panda is a professor at the Salk Institute in California.

In 2002, he co-discovered melanopsin, a blue-light sensing protein in your eyes that controls your master biological clock.

This discovery was named one of Science magazine's top 10 breakthroughs.
Melanopsin tells your brain when it's day or night by sensing blue light.

It triggers melatonin at night (makes you sleepy) and suppresses it in the morning (makes you alert).

But modern life is destroying this rhythm.
Read 15 tweets
Oct 19
This is Andrej Karpathy.

Former Tesla AI Director who built their self-driving system from scratch.

He just spent 3 hours with Dwarkesh Patel revealing mind-blowing truths about AI that 99% of people wouldn't know...

Here are 9 insights that will change how you think about AI: Image
1/ Why It's The Decade of Agents (Not The Year)

Karpathy's reaction to AI hype: "We'll be working with these things for a decade."

Current agents lack intelligence, multimodality, and continual learning.

"They're cognitively lacking and it's just not working."
2/ We're Building "Ghosts," Not Animals

We're not replicating evolution or biological intelligence.

We're training by imitating internet documents, creating "ethereal spirit entities" that mimic humans.

"We're summoning ghosts, not building animals."
Read 12 tweets
Oct 13
BREAKING: Google paid out $430K to researchers finding AI vulnerabilities & one pattern kept repeating.

Every AI system they tested had the same critical weakness. And attackers already know what it is.

Here's what they found:

(hint: it's not the technology that's broken) Image
The AI security war is already here.

Cybercriminals are using AI to launch attacks 40% faster than before. 85% of all cyberattacks now leverage artificial intelligence.

But defenders are losing—and not for the reasons you'd expect. Image
In 2025, 131 new security vulnerabilities are discovered daily.

When attackers identify a weakness, they exploit it in an average of 5 days.

Defenders? 74 days to patch. Some vulnerabilities remain unpatched for over 180 days. Image
Read 15 tweets
Oct 10
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:

THREAD🧵 Image
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 18 tweets
Oct 8
Deloitte just made the biggest mistake of 2025:

AI wrote their $440,000 government report. Fabricated every source. Full refund.

But what they're hiding is far worse.

The internal document that exposes why every Big Four firm is secretly terrified: 🧵 Image
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July 2025: Deloitte's 237-page report goes public... Australia's Department of Employment and Workplace Relations.

The assignment: Review automated systems penalizing welfare recipients.

Contract value: $440,000.

Within weeks, the entire foundation would collapse.
Dr. Christopher Rudge, deputy director of Sydney University's health law center, identified the first anomaly while reviewing the methodology.

A citation attributed to his colleague—Professor Lisa Burton Crawford—for research that didn't exist.

Then he found systematic fabrication across the entire document.
Read 16 tweets
Oct 7
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

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