Market Maker

AmplifyME

The AmplifyME Market Maker Podcast makes finance fun and easy to understand. Hosted by LinkedIn Top Voice Anthony Cheung and trader-turned-founder Piers Curran, each week they break down the biggest market stories and trends shaping the global economy. Get real insight, boost your commercial awareness, and learn how markets really work, with top guests from leading banks, hedge funds, and asset managers sharing their career journeys and invaluable advice.

  1. vor 1 Tag

    The $500 Billion AI Debt Machine & The Great CapEx Test

    Nvidia, CoreWeave and Wall Street are pouring hundreds of billions of dollars into AI infrastructure. But how does the financial machine behind the AI boom actually work and where are the risks? In this episode of the Market Maker Podcast, Anthony Cheung and Piers Curran unpack CoreWeave’s extraordinary growth and $100bn+ revenue backlog, Nvidia’s role at the centre of the AI ecosystem, and the huge amounts of debt and private capital being used to finance data centres and GPUs. We explain what neoclouds are, why GPUs are increasingly being treated as infrastructure assets, and how firms including BlackRock, Blackstone, Apollo, Goldman Sachs and KKR are helping finance the AI buildout. But there’s another side to the story. We explore the “circular financing” concerns surrounding Nvidia and its customers, the growing concentration risk across the AI industry, and what could happen if hyperscalers such as Microsoft, Alphabet, Amazon and Meta begin to slow their enormous AI spending. Finally, we look at the wider macro picture, including the latest US CPI inflation data, Federal Reserve interest rate expectations and why the AI boom itself is beginning to show up in inflation. Is this the financial infrastructure needed to power the next technological revolution or is too much money becoming dependent on the AI boom continuing? (00:00) The $1 Trillion AI Spending Boom (03:51) CoreWeave’s Incredible Growth (04:58) The $104BN AI Order Book (08:35) What Is a Neocloud? (11:18) The Huge Cost of AI Infrastructure (16:13) Nvidia’s $500BN Wall Street Deal (17:53) How GPUs Became an Asset Class (21:14) Was Michael Burry Wrong on AI? (24:50) How Wall Street Finances AI (27:12) The AI Circular Financing Risk (33:34) Nvidia’s Biggest Concentration Risk (37:18) Can the AI Spending Boom Continue? (38:50) How to Invest Beyond Big Tech (40:12) The Next Trillion-Dollar AI Company? (44:30) AI Boom or House of Cards? (45:06) US Inflation Falls Again (47:05) Will the Fed Hike in September? (49:27) What to Expect From Jackson Hole

  2. 6. Aug.

    The AI Hedge Fund That Blew Up | The Situational Awareness Story

    A 22-year-old former OpenAI researcher built one of the hottest AI-focused hedge funds on Wall Street, generated extraordinary returns, then watched it unravel in spectacular fashion after a leveraged bet went wrong. Citadel stepped in to buy the portfolio, markets rebounded, and the episode raised important questions about AI investing, risk management and whether today's market is repeating the mistakes of the past. In this episode of Market Maker, Anthony Cheung and Piers Curran explain what really happened to Leopold Aschenbrenner's fund, why leverage can turn winning trades into disasters, how margin calls work, and why Ken Griffin and Citadel emerged as the biggest winners. They compare the story with the collapse of Long-Term Capital Management in 1998, showing why human psychology often matters more than intelligence in financial markets. They also break down why the S&P 500 has returned to record highs, what blockbuster earnings are telling us about the AI trade, whether semiconductor stocks have found a bottom, what falling oil prices mean for interest rates, and whether today's rally is built on solid foundations or growing optimism. Whether you're investing in AI, preparing for a career in finance, or simply trying to better understand global markets, this episode explains the biggest stories shaping Wall Street and what they could mean for investors next. (00:00) The AI Hedge Fund That Blew Up (02:00) Who Is Leopold Aschenbrenner? (05:30) 439% Returns... Then Disaster (08:04) How Leverage Really Works (14:28) Margin Calls Explained (19:45) Why Citadel Bought the Portfolio (24:11) The Ken Griffin Playbook (27:00) The LTCM Crash Comparison (31:08) The Psychology of Greed (37:22) Why the S&P 500 Hit Record Highs (41:53) Is the AI Trade Back?

  3. 3. Aug.

    The AI Investment Playbook: Who Wins Next & Where the Money Goes

    Artificial intelligence is changing the world, but who will actually make the money? In this episode of the Market Maker Podcast, we explore the AI investment ecosystem to understand where value is really being created. From OpenAI and Anthropic to Nvidia, Apple, Microsoft, Alphabet and Amazon, we break down the business models, investment strategies and competitive dynamics shaping the next phase of AI. Rather than focusing on the technology itself, we ask the questions investors should be thinking about. Is the AI boom sustainable? Which parts of the ecosystem are most likely to capture the profits? Could today's winners become tomorrow's losers? And what does all of this mean for investors, businesses and young professionals building careers in an AI-driven economy? If you're interested in investing, business strategy, financial markets or technology, this episode provides a practical framework for understanding one of the biggest investment themes of our time. If you enjoyed the episode, don't forget to like, subscribe and let us know in the comments: Who do you think will be the biggest winner in AI over the next five years? (00:00) The AI Investment Story (01:13) How Big Is the AI Opportunity? (07:06) Is AI Becoming Another Dot-Com Bubble? (09:30) OpenAI, Anthropic & The AI Labs (20:54) Is Being First Mover an Advantage? (22:30) Hyperscalers: Microsoft, Google, Apple & Amazon (32:09) Apple's Surprisingly Different AI Strategy (37:11) Nvidia & The Picks-and-Shovels Trade (43:08) Are AI Data Centres Becoming a Bubble? (49:12) Who Really Wins From AI? (51:49) The Skills That Will Matter Most in an AI World

  4. 20. Juli

    Sky Buys ITV for £1.6BN | Reformation's IPO Explained

    Wall Street isn't the only place where billion-dollar deals are happening. This week, Anthony Cheung and Stephen Barnett break down ITV's agreement to sell its television and streaming business to Comcast, the owner of Sky, and explain why this is far more than just another media acquisition. They explore how investment banks advise on transformational M&A deals, why companies separate business divisions to unlock value, and what the transaction means for the future of UK broadcasting. They also analyse Reformation's upcoming IPO, using it as a case study to explain direct-to-consumer brands, private equity exits, consumer investing and why some retail companies become stock market winners while others collapse. Along the way, they compare brands including Nike, Lululemon, Abercrombie and Allbirds, discuss what makes an attractive IPO candidate, and explain how investment banks position companies before going public. Whether you're preparing for finance interviews, working in markets, or simply want to better understand the biggest business stories shaping the economy, this episode breaks down the commercial awareness behind the headlines. (00:00) England Exit (02:29) ITV Sold to Sky (06:37) The Deal Advisers (08:03) Comcast Explained (16:07) ITV Business Model (19:53) The Role of Banks (30:07) Reformation IPO (33:58) The Numbers (40:17) Nike vs Abercrombie (45:33) PE Exit Strategy (52:08) IPO Boom (53:54) Final Prediction

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The AmplifyME Market Maker Podcast makes finance fun and easy to understand. Hosted by LinkedIn Top Voice Anthony Cheung and trader-turned-founder Piers Curran, each week they break down the biggest market stories and trends shaping the global economy. Get real insight, boost your commercial awareness, and learn how markets really work, with top guests from leading banks, hedge funds, and asset managers sharing their career journeys and invaluable advice.

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