Auditors highlighted two key vulnerabilities. The first is overheated investor expectations. Trillion-dollar injections into AI infrastructure (CAPEX) may not pay off due to the slow pace of integrating agents into the real sector, threatening a severe stock market correction. The second vulnerability is cyber risks. The integration of LLMs into trading algorithms and scoring systems creates the threat of synchronous failures, where a single model’s hallucination could trigger a chain reaction of sell-offs (flash crash). For the FinTech sector, this means an inevitable tightening of compliance and algorithm architecture requirements.
Source: Bank of England / Reuters
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