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Bloomberg's Joe Weisenthal and Tracy Alloway analyze the weird patterns, the complex issues and the newest market crazes. Join the conversation for interviews with the most interesting minds in finance, economics and markets.
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Compute, like oil, is being financialized through new markets for GPU futures and spot trading, driven by volatility and the need for hedging. Carmen Li, CEO of Compute Exchange and Silicon Data, is pioneering this shift with indices and exchange-traded futures in partnership with CME, aiming to bring transparency, liquidity, and risk management to a fragmented and volatile compute market.
The episode explores the physical and economic constraints shaping the development of AI, emphasizing how real-world resource limitations — from energy and compute to talent and infrastructure — are mirroring long-theorized AI thought experiments. Guest Anjney Midha, founder of AMP PBC and former a16z partner, argues that inefficient use of compute is the central bottleneck in AI progress, and that software-driven standardization and resource allocation can unlock massive gains in productivity and accessibility.
Aiden Johnson, a 20-year-old college basketball player and entrepreneur, founded Haywire, a data startup that brings transparency to the fragmented and opaque U.S. hay market by aggregating public USDA data and live auction prices. Using AI and automation, Haywire delivers real-time, regional hay pricing through newsletters and a database, helping farmers, ranchers, and horse owners make informed decisions amid rising costs and climate volatility.
Tomato prices have surged 40% year-over-year, hitting a record $2.69 per pound, driven by weather-related crop losses in Florida and reduced production in Mexico due to trade tariffs. The episode explores the complex supply chain, from farm to restaurant, and how volatility in fresh produce pricing affects retailers and consumers differently. It also delves into the agricultural innovations reshaping tomato flavor, the role of social media in driving food trends, and the growing influence of cold chain logistics in maintaining quality across volatile supply routes.
The conversation centers on the rapidly evolving AI inference market, where soaring enterprise demand is driving massive compute spending — often catching CFOs off guard — while infrastructure constraints shift from GPU scarcity to power and operational bottlenecks. Brandon McBee of CoreWeave, a leading 'neo cloud,' provides insight into the sustained, unrelenting demand for AI infrastructure across hyperscalers, AI labs, and increasingly diverse enterprise clients, all while highlighting the challenges of scaling amid non-fungible, complex GPU deployments.
Prediction markets are rapidly evolving beyond sports and elections into potential tools for economic hedging, but institutional adoption remains limited by awareness and compliance hurdles. Susquehanna International Group (SIG), as the first major market maker in this space, is working to solve the liquidity chicken-and-egg problem by providing deep balance sheet support and bridging the gap between retail-driven price discovery and institutional risk management.
Iain Dunning, head of AI at Hudson River Trading, joins Joe Wisenthal and Tracy Alloway on a live episode of the Odd Lots podcast recorded at City Winery in New York. The conversation centers on the integration of AI into high-frequency trading, the exponential growth of compute demands, and the shifting dynamics of talent, infrastructure, and market structure in the age of artificial intelligence.
David Solomon, CEO of Goldman Sachs, argues that fears of an AI-driven job apocalypse are overblown. While AI will disrupt white-collar work and displace some roles, history shows technology ultimately shifts labor rather than eliminates it entirely. The real opportunity lies in leveraging AI to free up human talent for higher-value, relationship-driven work.
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