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Good morning! Today's edition is about the guardrails going up around AI as the money keeps flowing in. Let's get into it.
New York City Made Four AI Giants Testify Under Oath
Anthropic, OpenAI, Google and Meta answered questions at a first-of-its-kind city hearing, while a fifth company skipped a subpoena. See the bills that could put kill switches on AI →
Axya Raises $17 Million CAD to Fix Manufacturing's Messiest Job
MDA Space and GE Aerospace already use the Montreal startup's procurement AI, and it works on top of the ERP systems plants already run. See who backed it and what it does →
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South Korea Built a $118 Billion Fund From the Chip Boom, and an Economist Says It Needs a Finish Line
The money has no end date, no spending cap and no success metrics yet. See the case for guardrails →
Fleuret AI Raises €4 Million for AI Agents That Hack Your Systems on Purpose
The Paris startup wants penetration testing to run continuously, not once a year. See how the agents work →
PwC and Cohere Team Up on Secure AI You Can Run Air-Gapped
The alliance launches in Canada first and targets regulated sectors that cannot send data to a public cloud. See what the alliance includes →
📚 From the AI Knowledge Hub
AI Bubble — What the spending, revenue and debt data actually shows
ChatGPT Pricing — Every plan from $0 to $500 a month, and what changed in 2026
Highest Paying AI Jobs — Real salaries by role and employer, with sources
📢 The Signal Behind the Noise
Today's five stories sit on the same question: who is accountable when AI goes into real work? A city council wants kill switches and outside validation. A national fund is being criticized for lacking an end date. And the startups and consultants selling the tools are leading with oversight, from human sign-off in procurement to air-gapped deployments. For any business buying AI right now, the useful question is what happens when something goes wrong, and who is responsible for fixing it.
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