Advice for Building in AI: Our Vision

Advice for Building in AI: Our Vision

In today's rapidly evolving world, AI has emerged as a transformative technology that has the potential to solve customer problems that were previously unsolvable. However, it is important to remember that while AI may be a new raw ingredient, the fundamental dynamics of business still apply. Building in AI requires a careful understanding of the same sources of power and durability that have always driven success in business.

One common misconception about AI is that it creates a moat for businesses. While AI technology can certainly provide a competitive advantage, it is not an impenetrable barrier. True power and durability in business still come from traditional sources such as economies of scale, network effects, counter-positioning, switching costs, and brand. These factors have always been the foundation of success, and AI should be seen as a tool to enhance and leverage these advantages, rather than a standalone solution.

It is also important to distinguish between growth and hype when it comes to AI. The hype surrounding AI can often overshadow the true potential for growth and impact. As builders in the AI space, it is crucial to focus 100% on growth and 0% on hype. Growth and hype are independent variables, and it is essential to prioritize real progress over empty promises.

When it comes to building in AI, excellence is primarily about hard work and attention to detail. Just like in any other field, execution is exponential. The "big idea" may be the starting point, but it is how that idea unfolds and is implemented that truly matters. AI commentators may discuss alignment, defensibility, and AGI, but builders understand the importance of practical considerations such as where to buy cheap GPUs. It is the small details and the ability to execute effectively that will ultimately determine success in AI.

At Stanford, our vision for building in AI is rooted in our commitment to promoting the welfare of people everywhere. We believe that a purposeful university promotes excellence not as an end in itself, but as a means to benefit society. Our approach to research, education, and impact in the field of AI is guided by this vision.

Our vision encompasses new initiatives that accelerate the creation and application of knowledge in AI. We recognize the importance of anchoring research and education in ethics and civic responsibility, ensuring that AI is developed and used in a way that aligns with our values and benefits society as a whole. Additionally, we are committed to promoting access and inclusion in all our AI activities, recognizing the importance of diversity in driving innovation and addressing societal challenges.

As builders in the AI space, it is important to take this vision into consideration and align our efforts with the broader goals of promoting welfare and making a positive impact. With that in mind, here are three actionable pieces of advice for building in AI:

1. Focus on the fundamentals: While AI may be a powerful tool, it is important to remember that the same principles of business apply. Build on traditional sources of power and durability, such as economies of scale, network effects, and brand, and use AI as a means to enhance and leverage these advantages.

2. Prioritize execution: The success of any AI project lies in its execution. Pay attention to the small details and work hard to get them right. Remember that the "big idea" is just the starting point, and it is how that idea unfolds and is implemented that truly matters.

3. Embrace ethics and inclusivity: AI has the potential to shape the future of society, and as builders, we have a responsibility to ensure that it is developed and used ethically. Consider the broader implications of your AI projects and strive to promote access and inclusion in all aspects of your work.

In conclusion, building in AI requires a careful understanding of the fundamentals of business, a focus on execution, and a commitment to ethics and inclusivity. By incorporating these principles into our AI endeavors, we can harness the true potential of this transformative technology and make a positive impact on society. Remember, the seed of the "big idea" is just the beginning - it is how we nurture and unfold that seed that truly matters.