The idea that AI will kill SaaS is too simplistic. It most accurately applies to large, public companies with significant inertia whose existing moats are disappearing. Startups and growth-stage companies that can maintain a 'day one' mentality and constantly re-evaluate their product have a significant advantage.

Spotify intentionally focuses on "low regret" content like music and podcasts. This aligns with its subscription model, as users are unlikely to pay monthly for a service where they regret 70% of the time spent, unlike engagement-driven ad models.

While platform businesses (marketplaces) can achieve massive valuations, they are incredibly difficult and expensive to build due to the chicken-and-egg problem. For most founders, a traditional B2B SaaS model is a far safer and more direct path to success.

The "SaaS apocalypse" will target "beta" software—tools that make companies more similar to their competitors. Conversely, "alpha" software—platforms that allow a company to express its unique strategy and competitive advantage—will thrive as AI makes customization and differentiation easier.

Ad-supported models (AVOD) create a complex system with creators, audiences, platforms, and advertisers, where someone is always losing. Subscription models (SVOD) simplify the business into a direct creator-to-audience relationship, making it more stable and sustainable.

The dominant per-user-per-month SaaS business model is becoming obsolete for AI-native companies. The new standard is consumption or outcome-based pricing. Customers will pay for the specific task an AI completes or the value it generates, not for a seat license, fundamentally changing how software is sold.

The traditional per-seat SaaS model is losing relevance. As AI allows for the completion of discrete workflows, customers expect to pay for the outcome ('do this thing for me'), not for access. This per-task model is a significant competitive advantage against legacy players.

SaaS value lies in its encoded business processes, not its underlying code. AI's primary impact will be forcing SaaS companies to adopt natural language and conversational interfaces to meet new user expectations. The backend complexity remains essential and is not the point of disruption.

The 'build an audience first, then monetize' strategy is a trap for SaaS founders. This model is only viable for massively funded companies like HubSpot. Bootstrappers should focus on solving a problem directly, not on the long, resource-intensive path of building a media arm with uncertain monetization.