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 QL-style investors remain prone to redemption even as fundamentals improve, while LLM redemptions fall earlier.

 Workers are not rejecting AI; many are asking for the training needed to adapt. Related Articles: The AI Job Market Needs a Demand Policy, Not a

Automation can raise firm efficiency while weakening output when worker consumption falls. Related Articles: The AI Job Market Needs a Demand Polic

The split between U.S. and non-U.S. markets shows that AI is not automatically credit-positive.

The figure separates shared movements from disagreement between newspaper-based and market-based shock measures, showing where a “shock” may reflect interpretation gaps rather than a clean policy surprise.

The figure shows how raw ECB newspaper coverage is filtered, checked for relevance and converted into a five-point monetary policy signal from strongly expansionary to strongly restrictive. Related Art

Value-Maxxing depends on three competencies: specifying useful context, orchestrating AI workflows, and reinvesting efficiency gains into new value. Related Articles:

User-controlled context turns AI from a vendor interface into a governed system of memory, tools, security, and judgment. Related Articles: Value-Maxxing: The AI Met