AI promises to transform finance, but can it ever be trusted with people’s money?
Lara Lewington and Ben Clark explore one of the toughest frontiers for artificial intelligence: the financial system. From messy data and market volatility to the risks of automation at scale, finance is one of the hardest environments in which to deploy AI safely.
They’re joined by Usman Khan, co-founder and CEO of APEX:E3, a fintech company building AI-powered data and workflow tools for capital markets. With multiple startups behind him and deep experience in market infrastructure, Usman explains where AI genuinely works in finance and where the technology can break down.
Along the way, Lara and Ben unpack the latest headlines shaping the AI landscape, including the race toward self-driving cars between Waymo and the fast-rising challenger Wayve, the global push to develop local AI models beyond Silicon Valley, and the growing debate around safeguards and control of powerful AI systems.
From trust and regulation to data quality and the future of financial markets, this episode looks past the hype to ask a crucial question: how do you build AI systems that people can actually trust with their money?
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