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Software: DEAD or Generational Buy? - Drew Cohen

The creator discusses the impact of AI on software companies, differentiating between existential risks and specific competitive threats. While acknowledging that some point solutions are at risk, the discussion focuses on established companies like Adobe, ServiceNow, and Salesforce, arguing that their entrenched positions, proprietary formats, and integrated platforms provide a moat against AI disruption. Adobe, in particular, is highlighted for its ecosystem and sticky user base, making it potentially attractive at current valuations despite unmanifested AI risks. The creator discusses how to analyze software stocks, using Adobe and Meta as examples. For Adobe, the focus is on valuation multiples and growth assumptions, suggesting it could be an opportunity if it's not a "melting ice cube." For Meta, the creator breaks down the business model into key variables (users, time spent, ad impressions, ad pricing) to analyze risks like AI, TikTok competition, and Apple's ATT, concluding that the core business drivers were stronger than perceived during a period of fear. The creator discusses how the market's fear surrounding software companies, using Adobe as an example, mirrors the past sentiment around Meta. The analysis focuses on identifying the core risks and sticking points for businesses, emphasizing incumbent competition over speculative AI threats. The creator highlights the importance of understanding switching costs, enterprise contracts, and existing user behavior rather than focusing on hypothetical AI competitors. The creator discusses the competitive landscape in the software industry, particularly focusing on enterprise software and vertical market software (VMS). He contrasts the perceived threat from AI-native startups with the strength of incumbent competitors like Salesforce, ServiceNow, Intuit, and Constellation Software. The discussion highlights that switching costs, integration complexities, and existing customer loyalty are significant barriers for new entrants, even with AI advancements. The creator emphasizes that human incentives and the mission-critical nature of software for businesses often outweigh the potential benefits of new AI-driven solutions, making it difficult for startups to displace established players. The creator discusses the potential impact of AI on software companies, focusing on pricing models and margin pressure. They analyze how companies like Adobe and Salesforce might adapt to AI-driven efficiency gains by charging existing users more or adopting new pricing structures. A significant portion of the discussion revolves around Constellation Software (CSU), specifically the risk of their inability to deploy capital effectively as they grow, and the metrics to watch for this risk. The creator discusses the long-term viability of software businesses and the challenges of sustaining high growth rates. They then delve into Copart (CPRT), detailing its strong competitive advantages in the vehicle salvage auction business, including integrations with insurers, a network of licensed yards, and a global marketplace. However, a potential long-term risk is identified: the possibility of fewer car accidents due to autonomous vehicles, which could diminish the relevance of Copart's core business. The creator discusses the business of Copart, highlighting potential long-term risks related to declining car accidents due to autonomous vehicles. The conversation then shifts to investing philosophies, emphasizing the importance of reading and continuous learning, drawing parallels to Warren Buffett's approach. The guest, Drew Cohen, shares his journey from trading leveraged ETFs to deep-dive business analysis.