The Value of AI: Startups vs. Incumbents and the Future of Innovation

The Value of AI: Startups vs. Incumbents and the Future of Innovation

Introduction:

The evolution of AI has brought significant value to various industries, but the distribution of that value has been uneven. In the past, incumbents have typically captured the majority of AI-generated value, leaving startups with smaller shares. However, this trend may be shifting in the current wave of AI innovation. This article explores the dynamics between startups and incumbents in previous technological waves, examines the potential reasons for the changing landscape, and discusses the opportunities and challenges that lie ahead for startups in the AI space.

The Startup vs. Incumbent Split in Previous Waves:

Looking back at the internet and mobile waves, we see a pattern where startups and incumbents shared the value created by these technologies to varying degrees. In the internet wave, startups like Google, Amazon, and Facebook emerged as major players, but incumbents such as Microsoft and Apple also extended their franchises onto the internet. There was perhaps a 60:40 or 70:30 split in favor of startups. Similarly, in the mobile wave, incumbents like Apple and Google dominated, but startups like Uber and Instagram managed to capture significant value. This split was roughly 20:80 in favor of incumbents.

The Crypto Wave: A Startup Capture:

In contrast, the crypto wave has been predominantly driven by startups. Bitcoin, Ethereum, Coinbase, and Binance, among others, have created substantial value, with minimal participation from existing financial services or infrastructure companies. This 100% startup capture in the crypto space highlights the unique nature of this technology and its potential to disrupt traditional industries.

Overcoming Incumbent Advantages:

To succeed as a startup against incumbents in any technological wave, it is crucial to either build a product that is dramatically better than what the incumbents offer or target a new customer segment or distribution moat that the incumbents cannot effectively serve. In general, a 10X better product is required to overcome the incumbents' distribution, capital, and pre-existing product moats. However, as AI technology evolves, the data advantage that incumbents once held might be diminishing. Companies now have access to vast amounts of data from the broader internet, enabling them to train models that work effectively with smaller datasets.

The Current AI Wave: A Technology Sea Change:

The current wave of AI innovation feels different from previous waves for several reasons. The speed of innovation across multiple areas is remarkable, and the technology itself is dramatically stronger. This increased strength allows for the creation of products that are 10X better than what incumbents offer. While GPT-3, a widely-known AI model, is not yet the breakthrough technology that startups can build big businesses on, a future model that is 5-10X better could lead to a new ecosystem of startups and augment existing incumbent products.

The Role of Infrastructure-centric Companies:

Unlike previous AI startups, the current wave includes a clear set of infrastructure-centric companies with broad adoption and rapidly growing usage. OpenAI, Stability.AI, Hugging Face, and Weights and Biases are examples of such companies that provide essential infrastructure and technology for startups to leverage. This ecosystem of infrastructure companies creates more opportunities for startups to access and utilize AI technologies effectively.

Identifying Unserved Product Markets:

To fully leverage the potential of AI, it is crucial to identify actual end-user needs and unserved product markets that can benefit from this wave of technology. The key is to focus on the actual needs of end users rather than simply applying AI as a solution in search of a problem. By understanding the pain points and challenges faced by users, startups can develop products that provide real value and gain a competitive edge.

Conclusion:

The AI landscape is evolving, and startups are poised to play a more significant role in capturing the value generated by this technology. With advancements in AI models, infrastructure-centric companies, and a focus on end-user needs, startups have the potential to create truly innovative and valuable products. To succeed, startups must continue to push the boundaries of what is possible with AI, identify untapped markets, and build products that exceed user expectations.

Actionable Advice:

1. Embrace the technology sea change: Stay updated with the latest advancements in AI and leverage them to create products that are significantly better than what incumbents offer.

2. Focus on end-user needs: Understand the pain points and challenges faced by potential users and develop AI solutions that directly address those needs.

3. Collaborate with infrastructure-centric companies: Utilize the infrastructure and technologies provided by companies like OpenAI, Stability.AI, Hugging Face, and Weights and Biases to gain a competitive edge and access the necessary resources for success.

In conclusion, the future of AI holds exciting possibilities for startups. By capitalizing on the strengths of AI technology, understanding user needs, and leveraging infrastructure-centric companies, startups can overcome incumbent advantages and create significant value in the AI space. The times ahead are indeed exciting for startups venturing into the AI landscape.