This Country Elected Their First AI-Powered Minister

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Hey there,

What if I told you a country just appointed an AI to be a government minister?

Not a minister using AI, but an actual AI serving as a minister.

And that's not even the craziest part. A major financial company also revealed that AI is writing half its code.

This stuff sounds insane, but it happened recently. And it's making me realize just how fast AI is moving from doing repetitive tasks to getting into critical systems.

Let’s get into it:

The World's First AI Government Minister

Albania just made history by appointing Diella (meaning 'sunshine' in Albanian) as the world's first AI minister. Not a minister FOR AI, but an AI AS a minister.

Diella's job? Handle all public procurement and make government contracts 100% incorruptible. They're betting their entire anti-corruption strategy on artificial intelligence.

The internet's reaction? People are torn. Reddit users immediately called out the obvious issue: "A new tactic to conceal corruption - present AI as 'non-biased' when it's trained on biased data."

But some made a brutal point: "Keep in mind how low the baseline is for human politician performance. My bet: it will be the best performing minister."

One comment summed it up perfectly: "Lived long enough that I'm starting to see headlines from sci-fi novels."

Now looking at it from a business angle: If an AI can handle billion-dollar government contracts, what can't it handle? More importantly, what human jobs are actually safe?

AI Is Already Writing Half the Code at Major Companies

While everyone debates AI's future potential, Robinhood just revealed 50% of their new code is AI-generated, with close to 100% of their engineers using AI tools like Cursor and Windsurf.

This isn't some small startup experimenting with AI. This is a company managing millions of people's money, and they're betting half their development on artificial intelligence.

And Robinhood isn't alone. The numbers are staggering:

• 78% of organizations now use AI in at least one business function

• 70% of financial institutions globally are using AI at scale (up from just 30% in 2023)

• JP Morgan Chase's AI tool COiN saves them 360,000+ hours per year on legal document review alone

• Banks using AI for operations see 60% efficiency gains and 40% cost reductions

When 75% of banks with over $100 billion in assets are projected to have fully integrated AI strategies by 2025, we're not talking about the future anymore - we're talking about right now.

The Uncomfortable Truth About What's Coming

This brings us to the part that's hard to discuss but impossible to ignore.

Both Albania's AI minister and Robinhood's AI-generated code show AI isn't just replacing simple tasks anymore. It's handling complex, high-stakes work that directly affects people's lives and money.  

But what happens to the people who used to do these jobs?

Mo Gawdat, former Chief Business Officer at Google X, called the 'AI will create new jobs' narrative '100% crap'.

His prediction? Even CEOs will be replaced. He's warning of a 15-year 'dystopia' before we reach an abundance economy 

What You Should Learn From All This?

Stop Building Tools. Start Building Systems.

Diella isn't just a tool - it's a complete system that handles entire government processes. Robinhood didn't just add AI features - they integrated AI into their core development workflow.

If you're building another AI writing assistant or code generator, you're playing small while others are thinking big.

Here's what I'd focus on instead:

• Compliance AI: Albania proved there's demand for AI in government. Think regulatory compliance, audit systems, fraud detection.

• Development & Code AI: Robinhood's success shows there's huge demand for AI that integrates into existing development workflows. Think code review systems, automations, deployment optimization.

• Career Transition AI: If Mo Gawdat is right about job displacement, people will need AI systems to help them change careers, retrain, and adapt. This demand gives you the opportunity to provide a supply.

What are you building that uses these changes instead of fighting them?

Let me know what you think - are you seeing the same patterns? And more importantly, how are you positioning your AI business for what's coming?

- Aashish

P.S. If you found this useful, reply and tell me which of these two stories surprised you most. I'm always looking for what catches people off-guard because that's usually where the biggest opportunities hide.

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