The Meaning of Open: How Open Systems Drive Innovation and Value

The Meaning of Open: How Open Systems Drive Innovation and Value

In the early 19th century, the United States faced a challenge with railroad tracks. There were seven different standards for track width, causing a lack of expansion and growth in the railway network. However, when the railway companies agreed upon a standard width of 4' 8.5", the network flourished and expanded westward. This historical example highlights the significance of open systems.

At Google, the belief is that open systems lead to more innovation, value, and freedom of choice for consumers. This belief is based on two components: open technology and open information. Open technology involves open source, where code is released and supported to help grow the internet, and open standards, which adhere to accepted standards and work towards improving the entire internet. Open information means transparency, providing valuable information to users, and giving them control over their own data.

The conventional wisdom suggests that companies should lock in customers to exclude competitors. However, in closed systems, innovation tends to be incremental, as the focus is on preserving the status quo. In contrast, open systems allow for fast innovation and thought leadership, attracting customers based on the merits of products and not just business tactics.

Open systems also allow for innovation at all levels, from the operating system to the application layer. This broad growth benefits the entire industry, stimulating economies of scale and reducing costs for all competitors. The goal is to keep the internet open, promoting choice, competition, and preventing users and developers from getting locked in.

When it comes to AI, the distribution of value between startups and incumbents has varied in different waves of technology. In the first internet wave, most of the value went to startups like Google, Amazon, and Facebook. In the mobile wave, incumbents like Apple and Google captured a significant portion of the value. However, in the crypto wave, startups took the lead, with little participation from existing financial services companies.

To beat an incumbent as a startup in the AI space, building something dramatically better or focusing on a new customer segment or distribution moat is necessary. Startups need to offer a 10X better product to overcome the advantages of incumbents. However, this time around, the technology seems dramatically stronger, making it easier to create products that surpass incumbents.

Infrastructure-centric companies with broad adoption and growing usage are emerging in the AI space. This provides startups with access to the necessary technologies and creates more opportunities. Tasks like code writing, marketing copy, and image generation can be automated through AI, creating a core part of workflow tools. The ability to summarize or generate text and images in a high fidelity way opens up new possibilities for product applications.

The key to success in this wave of AI innovation is to identify actual end-user needs and unserved markets. Startups must focus on meeting these needs and leveraging the exciting technology available. By doing so, startups can finally start to gain real value from AI.

In conclusion, the concept of open systems has proven its value throughout history. Open technology and open information drive innovation, value, and choice. In the AI space, startups have the potential to capture more value than in previous waves of technology. By understanding end-user needs and leveraging the power of AI, startups can thrive in this exciting era of innovation.

Actionable Advice:

1. Embrace open systems: Instead of locking in customers, focus on understanding the fast-moving system and using that knowledge to generate better, more innovative products. Thought leadership and fast innovation will attract and retain customers.
2. Utilize open source and open standards: Contribute to open source projects and adhere to accepted standards. This not only allows others to help build the best products but also ensures that innovation continues even if a company fails to innovate adequately.
3. Identify unserved markets and end-user needs: With the advancements in AI technology, startups have the opportunity to address real customer needs. By focusing on these needs and leveraging AI capabilities, startups can create valuable products and gain a competitive edge.