Advice for Building in AI: Growth Loops and the Power of Execution

Advice for Building in AI: Growth Loops and the Power of Execution

AI technology has become a game-changer in solving customer problems that were previously unsolvable. However, it is important to remember that the same fundamental dynamics of business still apply, regardless of the industry you are in. While AI may not be a moat in itself, the real power and durability of a business still come from traditional sources such as economies of scale, network effects, counter-positioning, switching costs, and brand.

In the world of AI, there is often a lot of talk about alignment, defensibility, and AGI (Artificial General Intelligence). However, when it comes to building AI, the focus should be on execution and getting the small details right. Just like in any other field, excellence in AI requires hard work and attention to detail. The "big idea" may be important, but how that idea unfolds and is executed is what truly matters.

When it comes to growing a product or company, the concept of funnels has long been the go-to model. Funnels operate in a linear manner, with inputs at the top and outputs at the bottom. However, funnels do not account for reinvesting what comes out at the bottom to continue to feed growth over time. This means that in order to sustain growth, more inputs need to be constantly added at the top.

A more effective model for growth is the concept of growth loops. Growth loops are closed systems where the inputs through a process generate more outputs that can be reinvested in the inputs. In other words, the outputs of one cycle of the loop become the inputs for the next cycle, creating a compounding effect. This compounding effect makes growth more sustainable and reduces the need for constantly adding more inputs.

The fastest growing products are often powered by one or two major loops that transition over time. Understanding and measuring the power and health of these loops is critical in determining where to focus your efforts. By focusing on how one cohort of users leads to another cohort, you can reinvest the outputs of one loop into the inputs of the next, creating a self-sustaining growth cycle.

Growth loops also require a holistic approach. Instead of treating your product, channel, and monetization model as separate entities, growth loops combine them into a single system. This means that your growth strategy becomes more specific to your product and company, making it harder for others to replicate.

To build a successful AI-driven business, here are three actionable pieces of advice:

1. Focus on execution: While the idea behind your AI product may be important, it is the execution that will determine its success. Pay attention to the small details and work hard to get them right.

2. Embrace growth loops: Instead of relying solely on traditional funnels, adopt the concept of growth loops. Identify the major loops that power your product and understand how to reinvest the outputs to drive sustained growth.

3. Take a holistic approach: Don't treat your product, channel, and monetization model as separate entities. Instead, consider them as interconnected parts of a single system. This will make your growth strategy more tailored to your specific product and harder for competitors to replicate.

In conclusion, building in AI requires a focus on execution, embracing growth loops, and taking a holistic approach. While AI technology may be the new raw ingredient, the fundamentals of business still hold true. By understanding the power of execution and leveraging growth loops, you can build a successful AI-driven business that stands out in the market.