The Evolving Landscape of Value Creation in the Digital Age

Kazuki Nakayashiki

Hatched by Kazuki Nakayashiki

Aug 29, 2023

4 min read

0

The Evolving Landscape of Value Creation in the Digital Age

Introduction:
In today's digital age, the dynamics of value creation and capture are undergoing a significant transformation. The traditional notion of controlling supply to generate profits has been disrupted by the internet, which has empowered those who can aggregate demand. This shift has led to the "death of middlemen," as markets become more efficient. In this article, we will explore the changing landscape of value creation, the rise of generative AI platforms, and the role of infrastructure vendors in capturing value.

The Rise of Aggregation and Specialization:
The internet has created a barbell effect, characterized by both consolidation and fragmentation. Companies now capture profits by providing the best user experience, attracting consumers, and subsequently attracting suppliers. This virtuous cycle of value creation and capture has led to a reevaluation of the role of middlemen. Middlemen who simply route supply and demand without adding significant value are being squeezed out. The power now lies in the hands of those who generate demand, enabling them to capture the value.

Generative AI Platforms and Structural Defensibility:
Generative AI platforms have seen staggering growth, fueled by novelty and a multitude of use cases. Infrastructure vendors have emerged as the biggest winners in this market, capturing the majority of revenue flowing through the stack. However, application companies often struggle with retention, product differentiation, and gross margins. Model providers, responsible for the existence of this market, have yet to achieve large-scale commercialization.

The Path to Building a Sustainable Generative AI Business:
While selling end-user applications seems like the obvious route to building a sustainable generative AI business, it may not be the only or best path. B2B and B2C apps drive long-term customer value through network effects, data retention, and complex workflows. Margins are expected to improve as competition and efficiency in language models increase. AI tourists leaving the market will lead to higher retention rates. Vertically integrated apps have an advantage in driving differentiation. Hosting services for proprietary APIs and open-source models are also emerging as valuable hubs for model producers and consumers.

Value Capture and the Role of Infrastructure Companies:
In the generative AI market, a significant portion of revenue flows through infrastructure companies. App companies spend a substantial percentage of their revenue on inference and fine-tuning, either through cloud providers or third-party model providers. Approximately 10-20% of total revenue is estimated to go to cloud providers. Nvidia, with its data center GPU revenue, stands out as a major winner in this space.

The Durability of Infrastructure as a Defensible Layer:
Infrastructure companies, such as Nvidia, have established themselves as lucrative and durable players in the generative AI stack. While various moats exist, including scale, supply chain, ecosystem, algorithmic, distribution, and data pipeline moats, none of them tend to be durable over the long term. It remains to be seen if direct network effects will emerge as a strong, defensible factor in any layer of the stack.

The Future of Generative AI:
It is unclear whether the generative AI market will witness a long-term winner-take-all dynamic. Both horizontal and vertical companies are expected to succeed based on specific end-markets and end-users. Verticalization may prevail when the AI itself is the primary differentiating factor in the end-product. On the other hand, horizontalization may occur when AI is part of a larger, long-tail feature set.

Actionable Advice:

  1. Emphasize the user experience: To capture value in the digital age, focus on providing the best user experience. This will attract more consumers/users and suppliers, creating a virtuous cycle of value creation.
  2. Explore vertical integration: If the AI itself is the key differentiator in your product, consider tightly coupling the user-facing app with a home-grown model. This can enhance differentiation and capture more value.
  3. Consider infrastructure partnerships: As infrastructure companies play a crucial role in capturing value, explore partnerships with reliable infrastructure providers to optimize costs and ensure scalability.

Conclusion:
The digital age has disrupted traditional notions of value creation and capture. The internet has empowered those who can aggregate demand, while middlemen who lack significant value-add have been marginalized. Generative AI platforms and infrastructure companies have emerged as key players in this evolving landscape. As the market matures, value capture will align more closely with value creation, and the best companies will reap significant rewards. By understanding these dynamics and taking actionable steps, businesses can position themselves for success in the digital era.

Sources

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