AI is increasing costs, slowing growth, and challenging the value proposition of established software companies. Canva illustrates the problem: generative tools can replace much of the creative work users once performed on its platform, while AI assistants may become the primary gateway to software. Companies that adapt quickly can benefit, but hesitant firms risk losing relevance and investor confidence. The discussion also questions whether private valuations reflect current performance or outdated funding rounds, while warning investors not to sell rare, high-performing companies too early. At Google, pressure for near-term commercial results is creating tension with researchers pursuing ambitious scientific and medical applications, helping rivals and startups attract elite talent through increasingly expensive compensation packages. AI’s expansion is also producing political and logistical challenges. Data-center opposition, electricity demands, subsidies, and regional policy could limit infrastructure growth. Elon Musk’s proposed semiconductor manufacturing effort reflects the urgency created by chip shortages and fragile supply chains. The episode further considers founder control and performance-based executive pay, arguing that incentives should reflect durable operating results rather than stock-price movements alone. Finally, changing consumer habits, revised monetization strategies, and AI-native competitors are exposing both resilient businesses and vulnerable software models.