AI and Your Money: Trust, Risk and Reality episode artwork

EPISODE · Mar 5, 2026 · 1H 1M

AI and Your Money: Trust, Risk and Reality

from The Age of AI with Lara Lewington and Ben Clark · host Joy Peddlers

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? The humans who make this programme would love to hear from you. Join us on social media or send us an email Email: [email protected] Instagram: @theageofaipod YouTube: @theageofaipod Linkedin: The Age of AI The Age of AI is brought to you by AIR, a launchpad for researchers to create innovative AI startups. Supported by Responsible Ai UK, an international ecosystem for responsible AI research and innovation, and delivered by Future Worlds, the tech startup accelerator at the University of Southampton. Learn more about your ad choices. Visit megaphone.fm/adchoices

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? The humans who make this programme would love to hear from you. Join us on social media or send us an email Email: [email protected] Instagram: @theageofaipod YouTube: @theageofaipod Linkedin: The Age of AI The Age of AI is brought to you by AIR, a launchpad for researchers to create innovative AI startups. Supported by Responsible Ai UK, an international ecosystem for responsible AI research and innovation, and delivered by Future Worlds, the tech startup accelerator at the University of Southampton. Learn more about your ad choices. Visit megaphone.fm/adchoices

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AI and Your Money: Trust, Risk and Reality

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This episode is 1 hour and 1 minute long.

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This episode was published on March 5, 2026.

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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...

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