The Ownership Economy: Crypto & The Next Frontier of Consumer Software – Variant

The Ownership Economy: Crypto & The Next Frontier of Consumer Software – Variant

In the world of technology and innovation, change is constant. As new advancements emerge, they bring with them the potential to transform industries and reshape the way we interact with software platforms. One such innovation that is revolutionizing the way we think about ownership and value creation is the advent of cryptocurrencies and the concept of user ownership.

The protocol innovation of tokens, similar to packets for value, has paved the way for a new era of consumer software. This disruption lies not only in the way new software platforms can be built and gain adoption but also in the shift towards software that is not only built, operated, and funded by individual users but also owned by them. This idea of user ownership is at the core of the success of Bitcoin and Ethereum, the first user-owned and operated networks at scale.

Traditionally, the economic interests of the biggest internet platforms have been concentrated and often poorly aligned with their most valuable contributors – their users. However, the concept of ownership changes this dynamic. When users have a stake in the platforms they contribute to, they are more motivated to engage in deeper ways, whether it's through providing ideas, computing resources, code, or community building. This cooperative economic model ensures better alignment with users over time, resulting in platforms that are larger, more resilient, and more innovative.

The history of protocol adoption follows a pattern. Early adopters leverage new protocols to do things that were previously impossible, and founders who build products that make these new models more accessible to a wider audience are often the winners. The key to success lies in bootstrapping adoption and participation through better economic alignment with users.

Now, let's shift our focus to the realm of AI and its potential impact on various industries. Just as the internet pushed distribution costs to zero, AI is pushing creation costs towards zero. The economic value derived from AI will not be distributed linearly along the value chain but will instead experience rapid consolidation and power law outcomes among infrastructure players and end-point applications.

The availability of widely accessible data sets and mathematical algorithms means that essentially anyone can build a copycat AI model if they have the skills and resources. However, the real differentiator lies in the developer community, ease of use, and the network effect around the ecosystem. Open source also exerts downward pricing pressure on model providers, as they compete with free alternatives. In this environment, fine-tuned models may win battles, but foundational models win wars.

Long-term differentiation in AI models comes from data-generating use cases. The ability to leverage unique data sources and generate valuable insights sets companies apart. However, it's important to note that open source can transform AI startups into consulting shops rather than SaaS companies, as the focus shifts from selling access to models to providing consulting services.

When it comes to competition among endpoints, the purchasing decision is often driven by go-to-market (GTM) strategy rather than a pure vendor comparison. The success of an "AI" startup is determined by sales, marketing, and overall perception rather than solely model performance. AI becomes a marketing tool to attract customers hungry for products that can perform complex tasks.

For startups competing in the SaaS space, companies that already possess inherent distribution or product capabilities have a competitive advantage. It is easier for large companies to integrate AI into their existing products than for startups to build competitive full-suite products from scratch. Distribution becomes the key differentiator in this scenario.

In a world where content creation is virtually free, distribution becomes paramount. Creators who leverage AI tools to produce better content at a faster pace have the potential to build a critical mass of fans. However, the dynamics of the digital media world, where only a small percentage of creators capture the majority of revenue, will be further exaggerated by AI. AI becomes the invisible force that powers companies to create previously unimaginable products that delight users.

In conclusion, the advent of cryptocurrencies and the concept of user ownership is reshaping the landscape of consumer software. The economic alignment between users and platforms ensures better outcomes for all parties involved. Similarly, AI is disrupting industries by pushing creation costs towards zero and driving consolidation among infrastructure players. The winners in the AI space will be determined by their ability to leverage unique data sources, provide easy-to-use solutions, and master the art of distribution. To thrive in this ever-changing landscape, here are three actionable pieces of advice:

1. Embrace the concept of user ownership: As a platform or software developer, consider ways to incorporate user ownership into your business model. This will not only incentivize users to contribute more but also create a sense of loyalty and alignment with your platform.

2. Prioritize distribution: In the world of AI, the ability to distribute your product or service effectively is crucial. Focus on building partnerships, leveraging existing distribution channels, and creating a strong go-to-market strategy to gain a competitive edge.

3. Invest in developer community and ease of use: In the realm of AI, the developer community and ease of use are significant differentiators. Foster a strong developer community around your product and prioritize creating an intuitive user experience to attract and retain users.

By following these actionable advice, you can position yourself for success in the ownership economy and the age of AI.