AI is not taking "your" job

Today, we’re looking at DeepMind CEO Demis Hassabis’ boldest belief that the path to AGI lies in scaling AI systems to their absolute limits. It’s a high-stakes bet that could define the future of artificial intelligence or reveal its biggest blind spot. We’re also looking at JPMorgan CEO Jamie Dimon’s surprising take on AI, its a grounded, contrarian view that challenges the panic and reframes what really matters in the age of automation.

In today’s post:

• Jamie Dimon isn’t buying the AI job panic

• DeepMind’s big AGI bet: scale or fail

• Why AI tools are free in India and what it really costs

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BREAKTHROUGH

AI will take jobs but maybe not the ones you're thinking about

JPMorgan Chase CEO Jamie Dimon says AI won’t dramatically reduce jobs next year. He’s not being naive, he just thinks we’re asking the wrong question.

Here’s everything you need to know:

• Dimon argues AI is more like the invention of tractors or vaccines: disruptive, but ultimately beneficial.

• The real job loss trend, he says, started long before AI ever showed up.

• He emphasizes “proper regulation” to manage AI’s risks bad actors, not just bad tech, are the issue.

• Instead of panic, his advice: sharpen your communication skills, emotional intelligence, and adaptability.

• AI will automate tasks, not necessarily entire careers and many industries will need more people, not fewer.

• He suggests governments and companies should phase in AI in ways that avoid mass dislocation.

• Retraining, relocation, and even early retirement could become key tools in the transition.

Dimon isn’t sugarcoating anything, he’s reframing the debate. The bigger risk isn’t job loss, it’s a workforce stuck waiting for someone else to make the first move. If you’re learning fast, adapting fast, and building real skills, AI doesn’t look like a threat. It looks like leverage.

RESEARCH

To reach human-level AI, DeepMind says: scale everything

Demis Hassabis wants to max out AI scaling compute, data, models. He believes it’s the only reliable path to AGI. But not everyone agrees.

Here’s everything you need to know:

• At the AI+ Summit, DeepMind’s CEO said large-scale AI systems are key components maybe even the entirety of AGI.

• His argument: every leap in AI so far has come from pushing size, compute, and data harder.

• Gemini 3, DeepMind’s latest model, is a showcase of this approach and the beginning of something bigger.

• But critics like Yann LeCun say scaling hits a wall. Real intelligence, he argues, comes from new architecture not more GPUs.

• LeCun’s team is building AI that learns like humans: through context, memory, and physical interaction.

• The debate isn’t just philosophical it’s shaping billions in infrastructure, chip design, and energy use.

• Hassabis acknowledges scale won’t be enough alone but insists it’s the foundation AGI needs.

This isn’t just a tech debate, it’s a fork in the road. Hassabis is betting that scaling gets us 90% of the way to AGI. LeCun says it’s the wrong map entirely. History will remember which one was right or which one moved faster.

STRATEGY

India isn’t just a market. It’s a training ground.

AI companies are handing out premium subscriptions in India for free. Perplexity, Google, OpenAI. Big names, big giveaways. But it’s not generosity.

Here’s everything you need to know:

• Telecoms like Airtel and Jio now bundle AI tools worth thousands of rupees into basic mobile plans.

• Companies say it’s about “access,” but it’s really about data and India offers a goldmine.

• India’s 900M+ internet users, low-cost mobile data, and multilingual culture make it ideal for model training.

• Every click, query, and correction trains AI and users often don’t know they’re the product.

• Laws like India’s DPDP Act exist, but AI-specific regulation is still missing, leaving a grey area.

• Meanwhile, lawsuits over unauthorized scraping are piling up from The New York Times to Reddit to Disney.

• Tech giants are racing to secure legal training rights, cutting deals with global media but few in India.

India is becoming the silent engine behind the next generation of AI and most users don’t even know it. Free tools feel like progress. But when regulation lags behind innovation, the cost isn’t money. It’s agency. And that’s much harder to win back.

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