Dear Readers,

The ground under AI is shifting faster than the headlines can keep up: regulators are quietly loosening guardrails, hyperscalers are pledging to double serving capacity every six months, and a new generation of frontier models is forcing companies to rethink which lab they bet on. When the EU experiments with rolling back parts of the AI Act and GDPR, Google chases a 1000× infra ramp, and Gemini 3 suddenly looks like a tier-1 challenger, the real question isn’t just who ships the smartest model – it’s who ends up owning the rails of the next economy.

In this issue, we follow that power shift across the stack: from Brussels’ softer stance on AI and privacy, to Google’s capacity surge and Gemini 3’s impact on the model leaderboard. We zoom in on the human cost with a featured story on AI-driven layoffs, then flip to the money flows: an AI startup eating junior bankers’ workflows, Brookfield turning AI infrastructure into a macro asset class, and the ECB putting AI bubbles and cyber risk on its supervisory radar. Sprinkled in are today’s prompt, chart, video, and rumor – small signals that, together, sketch where this wave is really heading; if you want to see how regulation, capital, and capability collide in real time, read on.

In Today’s Issue:

✂️ AI-driven automation accelerates job cuts

🏦 Model ML raises $75M to automate junior bankers' tasks

🏗️ Brookfield launches a $100B AI infrastructure program

🇪🇺 The ECB warns about AI bubble risks and surging cyber incidents

✨ And more AI goodness…

All the best,

Kim ‘Chubby’ Isenberg

The EU AI Act and the General Data Protection Regulation (GDPR) are being significantly rolled back by the European Commission - Europe is proposing to allow AI-training on anonymized/pseudonymized personal data, ease cookie-banner requirements, extend deadlines for “high-risk” AI systems, and simplify documentation for smaller firms. This shift comes amid pressure from big tech and the US, as Brussels responds to concerns that its tough tech rules are stifling innovation and economic growth.

Full interview: Google CEO Sundar Pichai on the ‘AI boom’ and the future of AI

A crisp new wave of layoffs is rippling through the tech world, and this time the culprit isn’t just market exhaustion - it’s raw automation. According to a late November report by the Los Angeles Times, companies in the U.S. cited artificial intelligence in the elimination of 48,414 jobs this year, with 31,000 announced in October alone.

Here’s the scoop: major players are attributing staff reductions to “AI and automation” - in simple terms, software agents and bots replacing repetitive human tasks. For the AI-community, this isn’t just another headline: it’s a real-world signal that the transition from proof-of-concept to mass deployment is happening. The value? If you’re building or studying AI systems, you now have a clear arena where your models directly influence workforce structure, economics and ethics.

Why it matters: It highlights a tangible shift: AI isn’t a future hypothesis - it’s affecting jobs now. For builders, analysts and commentators in the AI space, this is the moment to engage with real-world consequences.

Sources:

🔗 https://www.latimes.com/business/story/2025-11-20/ai-cited-in-close-to-50-000-job-cuts-as-tech-giants-accelerate-automation

🔗 https://www.resumetemplates.com/4-in-10-companies-will-replace-workers-with-ai-in-2025/

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London- and New York-based startup Model ML has raised $75 million to build AI tools that automate pitch decks and due-diligence work, directly targeting the “grunt work” of junior investment bankers. By compressing high-fee, labor-intensive workflows into software, this could reshape cost structures in advisory, shift bargaining power toward elite dealmakers, and pressure banks to rethink hiring pyramids and training models.