The Intersection of Generative AI and Building Great Organizations

The Intersection of Generative AI and Building Great Organizations

Introduction:
The rapid growth of generative AI applications has captured the attention of industry experts and investors alike. From image generation to copywriting and code writing, these applications have already exceeded $100 million in annual revenue. However, the question of who truly owns the generative AI platform remains unanswered. In this article, we will explore the various players in the market and their roles in shaping the future of generative AI. Additionally, we will draw insights from Jim Collins' concept of "First Who...Then What?" to understand the importance of having the right people in building great organizations.

The Role of Infrastructure Vendors:
Infrastructure vendors have emerged as the biggest winners in the generative AI market. They capture the majority of the dollars flowing through the stack. Companies providing infrastructure services, such as cloud providers and third-party model providers, are essential for the functioning of generative AI applications. It is estimated that around 10-20% of total revenue in generative AI goes to these infrastructure companies. Nvidia, with its data center GPU revenue, stands out as a lucrative and seemingly defensible player in this space.

Challenges for Application Companies:
While application companies experience rapid revenue growth, they often struggle with retention, product differentiation, and gross margins. In the absence of strong technical differentiation, these companies must drive long-term customer value through network effects, data retention, or complex workflows. It is not yet clear whether selling end-user apps is the only path to building a sustainable generative AI business.

The Role of Model Providers:
Model providers are responsible for the very existence of the generative AI market. However, they have yet to achieve large commercial scale. Commercialization for model providers is likely tied to hosting, as demand for proprietary APIs and hosting services for open-source models grows rapidly. Many model providers have embraced the concept of public benefit corporations, prioritizing the public good in their mission without hindering their fundraising efforts.

Bringing it All Together:
As the generative AI landscape evolves, it is unclear whether there will be a long-term winner-take-all dynamic. Both horizontal and vertical companies have the potential to succeed, depending on the end-markets and end-users. If the AI itself is the primary differentiating factor, verticalization (coupling the user-facing app to the home-grown model) may be advantageous. On the other hand, if the AI is part of a larger feature set, horizontalization may be more suitable.

The First Who...Then What Concept:
Jim Collins' concept of "First Who...Then What?" emphasizes the importance of having the right people in building great organizations. This concept aligns with the generative AI space, where the right people, from executives to developers, play a crucial role in driving success. By ensuring that the right people are on the bus and in key positions, companies can navigate any direction effectively. Motivating and managing people becomes less of a challenge when the right individuals are in place.

Actionable Advice:

1. Prioritize People: Focus on attracting and retaining the right talent in your generative AI organization. Invest in hiring individuals who align with your company's mission and have the necessary skills to drive innovation and success.
2. Foster Collaboration: Encourage collaboration and cross-functional teamwork within your organization. The synergy among diverse talents can lead to breakthroughs and foster a culture of continuous learning and improvement.
3. Adapt to Change: Stay nimble and adapt to the evolving landscape of generative AI. Continuously evaluate your business model, strategies, and market trends to ensure that you remain competitive and agile.

Conclusion:
The generative AI market presents immense opportunities and challenges for various players. Infrastructure vendors, application companies, and model providers all play significant roles in shaping the industry's future. To build great organizations in this space, it is crucial to prioritize the right people and create an environment that fosters collaboration and adaptability. By leveraging the insights from Jim Collins' "First Who...Then What?" concept and implementing the actionable advice provided, companies can position themselves for long-term success in the ever-evolving world of generative AI.