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Good Morning! Welcome to today's AI Business Weekly. You're part of a community that values clarity over hype and business impact over benchmark theater. Let's get to it.

ECB Economists Warn AI-Driven Stock Rally Is Likely to Trigger a Sharp Correction

The European Central Bank just made an unusual argument: a correction is coming, and it could happen even if AI turns out to be everything investors hope it is. See why the ECB says success doesn't prevent a crash →

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Google Buys Bankrupt Spirit Airlines' Internal Data for $10 Million to Train Its AI Models

If you ever flew Spirit Airlines or worked there, your old emails are about to help train Google's AI, and a rival AI company was bidding for the exact same dataset. See what's actually included in the deal →

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Montreal Police Quietly Deploy AI License Plate Cameras, Take One Down After Backlash

A reporter spotted an AI surveillance camera mounted on a lamp post, and within days of the story running, it was gone, raising real questions about what else might already be out there. See what the camera could actually track →

Vals AI Raises $40 Million After Finding Frontier Models Fail Over Half of Real Finance Tasks

A startup just raised serious money proving something most AI vendors would rather you not know, today's most advanced models get real financial analysis wrong more often than they get it right. See the number that's rattling enterprise buyers →

Stratus Launches AI Innovation Arm to Build Agentic Tools for Construction Trades

A construction software company just proved AI adoption isn't only happening in offices and data centers, it's quietly reaching the job site too. See the tools already in customers' hands →

📚 From the AI Knowledge Hub

📢 The Signal Behind the Noise

Today's five stories all circle the same underlying question: how much of the current AI moment is real value, and how much is momentum waiting to correct? The ECB is warning that even genuine success doesn't guarantee current valuations hold. Vals AI just put a number on the gap between what AI vendors claim and what their models actually deliver. Google and Montreal police are both quietly expanding what AI touches, your old emails, your license plate, without much public conversation about where that data actually goes. And Stratus is the reminder that away from the headlines, AI is still landing in genuinely useful, unglamorous places, like a construction site trying to automate assembly work. None of these stories exist in isolation. They're all part of the same reckoning: figuring out what AI is actually worth, to markets, to businesses, and to the people whose data and daily lives it increasingly touches.

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