Mad Money 02/03/26 | Audio Only

Mad Money - February 8, 2024: Summary

Key Concepts:

• Software vs. Hardware/Industrial Shift: A market correction favoring companies that use software (industrials, banks) over those that produce it, driven by AI fears.
• AI Disruption: Concerns that AI will render existing software obsolete or significantly reduce its value, impacting pricing models (per seat licenses).
• Price-to-Earnings (P/E) Multiple Contraction: Shrinking P/E multiples for software companies, indicating investor pessimism despite stable earnings.
• Digital Twins & Accelerated Computing: The potential of AI, particularly through Nvidia and Dassault Systèmes, to revolutionize industrial design, manufacturing, and drug discovery.
• OpenAI Funding & Nvidia Partnership: Analysis of OpenAI’s massive funding needs and the continued strong relationship with Nvidia despite media speculation.
• Chipotle’s Turnaround: Discussion of Chipotle’s strategic initiatives, menu innovation, and potential for growth.
• Merc’s Pipeline & Innovation: Examination of Merc’s expanding pipeline, including Enlistide and a long-acting antiviral, and its potential for future growth.

1. Market Shift: Software Sell-Off & Industrial Gains

The Dow Jones Industrial Average tumbled 167 points, while the NASDAQ experienced a 1.43% drop, with software stocks bearing the brunt of the decline (down 24.3%). Kramer argues the market is signaling a broad rejection of software, favoring companies that use software – banks, consumer packaged goods, and industrials – even if their current earnings aren’t stellar. High-quality enterprise software stocks like Salesforce, ServiceNow, and Adobe have seen their stock prices decline despite positive earnings reports. This is attributed to fears that AI will either replace or diminish the user base of these companies, impacting their “per seat” revenue model.

2. AI as a Disruptive Force

The catalyst for this shift appears to be a story about Anthropic, an AI service, developing programs to automate legal work. While previous attempts at AI automation in legal fields haven’t gained traction, Anthropic’s success resonated with the market, suggesting potential for widespread job displacement and a re-evaluation of software value. The market is preemptively pricing in this disruption, even before it fully materializes.

3. P/E Multiple Contraction & Investor Sentiment

Kramer emphasizes that software companies’ earnings aren’t necessarily declining, but their price-to-earnings (P/E) multiples are shrinking. This indicates investors are willing to pay less for future earnings due to AI-related uncertainty. He questions how low these multiples could go, citing examples like Salesforce, Workday, and Roper Technologies. Software stocks lack traditional defenses like dividends or buybacks, making them vulnerable.

4. Nvidia & Dassault Systèmes: The Future of Industrial Innovation

A significant portion of the show focused on the partnership between Nvidia and Dassault Systèmes (DS). This collaboration aims to integrate Nvidia’s AI platform (CUDA X, Nvidia AI, Omniverse) with DS’s suite of tools to create “physical AI” – applying AI to the physical world. This includes:

• Digital Twins: Creating virtual representations of physical systems (planes, factories, drugs) for design, simulation, and testing.
• Accelerated Design & Simulation: Reducing the time and cost of product development, particularly in industries like aerospace and pharmaceuticals.
• Industrial Revolution 4.0: Powering the next wave of industrial growth through AI-driven automation and optimization.
• Drug Discovery: Using AI to simulate drug trials and accelerate the development of new medications, potentially reducing costs by 50%.

5. OpenAI Funding & the Nvidia Relationship

Kramer addressed concerns about OpenAI’s massive funding needs (potentially $300 billion over five years) and its relationship with Nvidia. He interviewed Jensen Huang (Nvidia CEO) to dispel rumors of a strained partnership. Huang emphatically stated:

• No Controversy: There is no conflict between Nvidia and OpenAI.
• Continued Investment: Nvidia intends to invest in OpenAI’s future funding rounds.
• Strategic Alignment: The two companies are aligned in their vision for the future of AI.
• Multiple Funding Rounds: OpenAI is pursuing multiple funding rounds, including one before a potential IPO.

Huang clarified that the initial $10 billion investment per gigawatt of compute power is still on the table, and Nvidia remains committed to supporting OpenAI’s growth.

6. Chipotle’s Turnaround Strategy

Kramer interviewed Scott Boight (Chipotle CEO) to discuss the company’s turnaround efforts. Key takeaways include:

• Recipe for Growth: A strategy focused on operational excellence, culinary innovation, brand messaging, and technology modernization.
• Menu Innovation: Launching four new protein LTOs (Limited Time Offers) and sides/dips to drive traffic and increase customer spending. Chicken Al Pastor is returning on February 10th.
• Digital Enhancement: Revamping the rewards program and leveraging AI to improve efficiency.
• Stock Buybacks: Chipotle has repurchased $2 billion worth of stock, demonstrating confidence in the company’s future.

7. Merc’s Expanding Pipeline & Innovation

Rob Davis (Merc CEO) highlighted the company’s expanding pipeline and key growth drivers:

• Enlistide: A new oral formulation of a drug similar to Rapatha, offering convenience and potentially broader adoption.
• WinRev: A treatment for pulmonary hypertension showing promising results.
• Long-Acting Antiviral: A partnership with Sedera Pharma to develop a strain-agnostic antiviral that provides season-long protection against the flu.
• P/E Expansion: Kramer believes Merc is a beneficiary of the shift towards valuing companies with strong science and innovation.

8. Lightning Round Highlights:

• Gladstone Land Corporation (LAND): Kramer advised against investing, expressing uncertainty about the company’s operations.
• Solstice Advanced (SOL): Kramer recommended holding the stock, acknowledging its strong performance and his previous mistake in selling it.

Conclusion:

Kramer’s “Mad Money” episode painted a picture of a market undergoing a significant shift, driven by fears of AI disruption. While acknowledging the risks, he emphasized the opportunities presented by companies like Nvidia, Dassault Systèmes, Chipotle, and Merc, which are positioned to benefit from the evolving technological landscape. He stressed the importance of understanding the underlying fundamentals and separating hype from reality, particularly regarding OpenAI’s funding and partnerships. The key takeaway is that while software may be facing headwinds, innovation and companies that enable innovation are poised for growth.