{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"In the Money with Amber Kanwar","title":"The AI Case Wall Street Bears Get Wrong","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/6738cc92\"></iframe>","width":"100%","height":180,"duration":3787,"description":"Artificial intelligence has been hyped, doubted, celebrated, and questioned — but very few people understand it from the inside out.On this episode of In the Money with Amber Kanwar, Amber sits down with Malcolm White, Portfolio Manager, BMO Global Asset Management, to cut through the noise around the AI boom and explain what’s actually happening beneath the headlines. From the launch of ChatGPT to today’s trillion-dollar AI infrastructure buildout, Malcolm breaks down why this moment is fundamentally different — and why many investors still don’t fully grasp the technology driving it.Drawing on his experience as both a former AI programmer and portfolio manager, Malcolm explains why AI adoption is moving faster than anything he’s seen before, how skepticism around valuations, capex, and so-called “AI bubbles” often misses the mark, and why physical constraints — power, data centers, and compute — matter just as much as software. He offers a rare behind-the-scenes look at how AI models are trained, why data is the new gold, and what investors get wrong about chips, depreciation, and commoditization.In the Mailbag, Malcolm weighs in on some of the most talked-about names in the AI ecosystem, including Broadcom (AVGO), Reddit (RDDT), SanDisk (SNDK), Western Digital (WDC), and Celestica (CLS). He explains why volatility is rising even as the AI capex cycle remains intact, how investors should think about pullbacks versus broken theses, and why certain “boring” infrastructure plays are quietly benefiting from massive shifts in data, memory, and storage demand.In Pro Picks, Malcolm lays out three high-conviction ideas tied to different stages of the AI and innovation cycle. He explains why Nvidia's (NVDA) fundamentals continue to be misunderstood despite its dominant position, why memory and semiconductors remain critical bottlenecks, and why Samsung Electronics (005930.KS) offers an underappreciated catch-up opportunity. He also looks further out to the next frontier...","thumbnail_url":"https://img.transistorcdn.com/er9NR63MREFV6i2rlZX8f-yMY6gNSK83fNUOzBPoSt8/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zZmQy/OWMwNmEzY2Y0YTg1/NjM4MjQ3Y2NjMWYy/Zjk1My5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}