The Changing Landscape of AI: Startups, Incumbents, and the Value Shift

The Changing Landscape of AI: Startups, Incumbents, and the Value Shift

Introduction:
In the ever-evolving field of artificial intelligence (AI), the distribution of value between startups and incumbents has been a topic of great interest. While previous waves of technological advancements saw incumbents capturing the majority of AI-generated value, recent trends suggest a shift in this dynamic. This article explores the historical distribution of value in various technological waves, the reasons behind incumbents' dominance, and the potential for startups to claim a larger share of value in the current AI wave.

The Past: Startups vs. Incumbents
Looking back at previous technological waves, such as the internet and mobile, we observe a pattern where incumbents initially held the upper hand in capturing AI-generated value. In the internet wave, giants like Google, Amazon, and Facebook emerged as dominant players, alongside some incumbents who extended their franchises onto the internet. The split of value between startups and incumbents was estimated to be around 60:40 or 70:30. Similarly, in the mobile wave, incumbents like Apple and Google dominated, while startups like Whatsapp, Uber, and Instagram managed to secure a significant share of value, albeit a smaller split of around 20:80.

The Crypto Exception:
In contrast to previous waves, the emergence of cryptocurrencies witnessed a complete capture of value by startups. Bitcoin, Ethereum, Coinbase, and other crypto-related startups dominated the creation of value, with minimal participation from existing financial services or infrastructure companies. This exceptional trend highlights the unique nature of the crypto industry and its disruption of traditional financial systems.

Challenges for AI Startups:
To overcome incumbents, AI startups face significant challenges. They either need to build a product that is dramatically better, overcoming incumbents' distribution, capital, and pre-existing product advantages, or they need to target untapped customer segments or distribution moats that incumbents cannot serve. In other words, a 10X better product is often required to compete with incumbents. Furthermore, many AI startups have historically taken on incumbents or operated in hard markets, such as education and healthcare, where technological innovation faces regulatory hurdles and market resistance.

The Current AI Wave: A Game Changer?
While incumbents have historically dominated AI-generated value, there are reasons to believe that startups will claim a larger share in the current AI wave. The advancements in AI technologies, such as transformers and unsupervised learning, have led to the emergence of infrastructure-centric companies like OpenAI, Stability.AI, Hugging Face, and Weights and Biases. These companies provide essential tools and access to AI technologies, creating more opportunities for startups to leverage AI in their products and services.

The Importance of End-User Needs:
To succeed in this AI wave, startups must focus on identifying actual end-user needs and unserved markets. It is crucial to avoid falling into the trap of developing technologies without a clear purpose or market demand. By aligning AI capabilities with specific customer needs, startups can create value and outperform incumbents.

Actionable Advice:

1. Develop a 10X better product: To compete with incumbents, startups must strive to build products that are significantly superior and offer clear advantages over existing solutions.
2. Identify untapped customer segments: Explore customer segments or distribution channels that incumbents cannot effectively serve, allowing startups to carve out their own niche.
3. Focus on end-user needs: Prioritize understanding the real needs of end-users and develop AI solutions that address those needs effectively.

Conclusion:
As the AI landscape continues to evolve, startups are poised to claim a larger share of AI-generated value. With advancements in AI technologies, the availability of infrastructure-centric companies, and a focus on end-user needs, startups have the potential to overcome incumbents' advantages and drive innovation in various industries. Exciting times lie ahead, as AI becomes a valuable tool for startups to create impactful and game-changing products.