Mad Money w/ Jim Cramer

CNBC
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25 snips
Mar 27, 2026 • 44min

Mad Money w/ Jim Cramer 3/27/26

A fast tour of market forces reshaping stocks, from war-driven oil pressure to the Fed’s data watch. Company spotlights include consumer and food names, retail champions, and a possible takeover play. Deep dives on AI/data-center infrastructure, defense and space investing, and how branding and blue-collar trades can thrive in an AI era.
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6 snips
Mar 26, 2026 • 44min

Mad Money w/ Jim Cramer 3/26/26

Daniel Schreiber, CEO of Lemonade, a digital-first insurance leader that uses AI for instant policies and claims. George Kurtz, CEO of CrowdStrike, a cybersecurity pioneer focused on AI-driven defense and Agentic SOCs. They discuss rapid automated claims, fraud detection, AI as a security demand driver, agentic security platforms, and why data scale and regulatory barriers matter.
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Mar 25, 2026 • 44min

Mad Money w/ Jim Cramer 3/25/26

Analysis of how Middle East tensions and Sunday futures are shaking oil and market volatility. Discussion of packaged-food takeover rumors and housing weakness tied to Fed policy. Deep dive into FedEx results and transport risks amid rising oil. Exploration of U.S. LNG opportunities and top players. Quick-fire stock calls and guidance on when to stay invested during turbulence.
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Mar 24, 2026 • 44min

Mad Money w/ Jim Cramer 3/24/26

Sarah Fryer, CFO of OpenAI and veteran tech finance leader, discusses OpenAI’s massive fundraising and strategic investor mix. She walks through product priorities, enterprise adoption, compute-driven growth, and monetization plans. Conversation touches on ethics, government use limits, and a cautious path to public markets.
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Mar 23, 2026 • 44min

Mad Money w/ Jim Cramer 3/23/26

Keisha Steelman, President and CEO of Ulta Beauty and turnaround leader, discusses strategy and the omnichannel push. She talks loyalty membership, TikTok and merchandising moves. She covers store operations and the path to margin recovery through disciplined SG&A and targeted investments.
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33 snips
Mar 20, 2026 • 44min

Mad Money w/ Jim Cramer 3/20/26

A fast-paced tour of recent market turbulence and oil-driven volatility. Rumors around big packaged-food deals and housing weakness get sharp attention. Deep dive into transport and FedEx’s surprising strength. A focused LNG thesis after Middle East disruptions and top US export plays. Rapid-fire trading calls and guidance on when to lock in profits or sit tight.
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Mar 19, 2026 • 44min

Mad Money w/ Jim Cramer 3/19/26

J.K. Szymanski, CEO of Signet Jewelers, a retail jewelry leader steering strategy and capital allocation. He discusses Signet’s turnaround, focus on a streamlined portfolio, consumer resilience, and the role of lab-grown diamonds. Short takes cover results, cash deployment, and strategic priorities in clear, punchy conversation.
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14 snips
Mar 18, 2026 • 44min

Mad Money w/ Jim Cramer 3/18/26

Arthur Mensch, co-founder and CEO of Mistral AI, talks open-weight models and decentralizing AI. Jeff Martin, Chairman and CEO of Sempra, outlines big utility and LNG plans and a $65B capital push. They discuss enterprise AI deployment, competition with large vendors, U.S. energy exports, and transmission growth in Texas. Short, sharp conversations on tech and energy strategy.
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Mar 17, 2026 • 44min

Mad Money w/ Jim Cramer 3/17/26

Jensen Huang, NVIDIA co-founder and CEO who grew the company from GPUs into AI infrastructure. He discusses NVIDIA’s shift to AI systems and data center expansion. He explains software agents, the new Vera CPU, confidential computing across clouds, and partnerships speeding drug discovery. He also previews open-source OpenCLAW and why NVIDIA’s reach may keep expanding.
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Mar 16, 2026 • 44min

Mad Money w/ Jim Cramer 3/16/26

Michael Dell, CEO of Dell Technologies, on building AI-ready data centers and financing solutions. Rene Haas, CEO of Arm, on power-efficient CPUs scaling from mobile to data centers and autonomous machines. Sasin Ghazi, CEO of Synopsys, on virtual prototyping, AI-driven chip design and speeding engineering cycles. They focus on AI infrastructure demand, power efficiency, and tools that accelerate semiconductor development.

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