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TRX Bessent says no systemic AI risk at JPMorgan investor conference
US Treasury Secretary Scott Bessent said he sees no systemic vulnerabilities tied to the AI investment boom, according to a Financial Times report cited by Hedgeweek. Speaking at a closed-door New York conference organised by JPMorgan Chase and the Robin Hood Foundation, he told Bridgewater CEO Nir Bar Dea during a 30-minute interview that "I don't see a systemic problem." The report notes his comments come amid renewed volatility in technology stocks and investor questions over AI valuations and debt raised to finance data centres.
Why “Unverified”
- Reported by Hedgeweek alone, with no second source or primary confirmation yet
1 independent source group across 1 post · evidence score 48/100. How labels work
What the sources claim
-
Bessent said he sees no systemic problem from the AI investment surge.
“Bessent said he saw no evidence of systemic vulnerabilities associated with the surge in AI investment”
Hedgeweek -
Bessent dismissed concerns that the AI investment boom poses a systemic risk to financial markets.
“has dismissed concerns that the artificial intelligence investment boom poses a systemic risk to financial markets”
Hedgeweek -
The remarks were made at a closed-door New York conference organised by JPMorgan Chase and the Robin Hood Foundation.
“Speaking at a closed-door investor conference in New York organised by JPMorgan Chase and the Robin Hood Foundation”
Hedgeweek -
Bessent made the comments in a 30-minute interview with Bridgewater CEO Nir Bar Dea.
“Bessent told Bridgewater Associates chief executive Nir Bar Dea during a 30-minute interview”
Hedgeweek -
The comments come amid renewed volatility in technology stocks and questions over AI valuations and debt-fuelled data centre spending.
“His comments come amid renewed volatility in technology stocks, with investors questioning the sustainability of AI valuations”
Hedgeweek
Sources
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Summary and claims extracted by AI with prompt analyze-story@5 on 2026-10-22 08:30 UTC. Labels are computed from the sources, not by the model.