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🔔 Gain an instant edge over Wall Street: https://stansberrydigest.com/?v=UIFnr... Are AI stocks on the verge of a major crash? After years of explosive growth in data centers, GPUs, and AI tools, warning signs are emerging on Wall Street. In this week’s episode of This Week on Wall Street, we break down: Why GPT-5’s lukewarm reception has investors asking tough questions about AI’s future The limits of large language models (LLMs) and the risks of “model collapse” Why AI’s business model is fundamentally different from past tech booms—and potentially more dangerous for investors Which companies are really profiting from AI right now (hint: it’s not the AI startups) Historical parallels from the dot-com bubble, self-driving cars, and overbuilt railroads How an AI market crash could unfold—and what it would mean for stocks across the tech sector Smart strategies to manage your AI exposure and protect your portfolio We also bring on Josh Balen, technology expert at Stansberry Research, for a deep-dive debate on whether we’re still in the early innings of AI—or if the slowdown has already begun. 📈 Whether you’re bullish or cautious on AI, this episode gives you the tools, data, and historical perspective to navigate what could be one of the most important market shifts of the decade. 0:00 – AI Stocks: Boom or Bust? 1:07 – GPT-5 Disappoints Investors 3:09 – AI Model Limits & Model Collapse Risk 5:14 – Why AI Companies Aren’t Profitable 8:42 – Tech Bubble Lessons for AI 10:05 – How the AI Crash Could Start 11:53 – Best Portfolio Strategies for AI Stocks 13:14 – Bull vs. Bear Debate on AI’s Future 15:52 – Predictive AI vs. Generative AI 17:35 – AI Breakthroughs in Images & Video 21:18 – Real-World AI Adoption Examples 22:37 – Market Cycles & AI Valuation Risks 26:47 – Can Anyone Predict the AI Shift? 29:31 – How to Stay Ahead in AI Investing #AIStocks, #GPT5, #AIBubble, #StockMarketCrash, #ArtificialIntelligence, #Nvidia, #OpenAI, #TechStocks, #MarketCrash, #Investing, #AIInvesting, #GenerativeAI, #WallStreet, #StockMarket, #MarketAnalysis