Building in AI: Lessons from Netflix's Failed Social Strategy

Building in AI: Lessons from Netflix's Failed Social Strategy

Introduction:
AI technology has become a powerful tool for solving customer problems that were previously unsolvable. However, it's important to remember that the fundamental dynamics of business still apply. In this article, we will explore the common points between building in AI and Netflix's failed social strategy, and discuss actionable advice for success in both areas.

1. The Importance of Growth Over Hype:
   When it comes to AI, there is often a lot of hype surrounding the technology. However, it's crucial to focus on real growth rather than getting caught up in the buzz. Building a successful AI system requires hard work and attention to detail. The "big idea" is just the starting point, and it's the execution that truly matters.

2. Evaluating Ideas and Ignoring Sunk Cost:
   Netflix's failed social strategy serves as a reminder to evaluate ideas thoroughly, even if there is support from higher-ups. Small wins can cloud judgment, and it's essential to ask ourselves if a project will be big enough to make a significant impact. Ignoring sunk costs, especially when emotionally attached to a project, is crucial in making objective decisions.

3. Learning from Netflix's Mistakes:
   Netflix believed that social recommendations would have a strong network effect and reduce costs. However, they failed to realize that movie tastes are uniquely diverse, and people may not trust their friends' recommendations. It's important to temper our pride in ownership and evaluate ideas objectively. Clearly define objectives and be open to better ideas. Killing projects properly, without getting attached to sunk costs, allows for better resource allocation.

Actionable Advice for Building in AI:

1. Focus on Growth, Not Hype: Instead of getting caught up in the hype surrounding AI, concentrate on real growth and execution. Work hard and pay attention to the small details that make a difference.

2. Evaluate Ideas Objectively: When considering an AI project, thoroughly evaluate the idea's potential impact and scalability. Don't let small wins cloud your judgment. Be open to different perspectives and better ideas.

3. Kill Projects Properly: If a project is not meeting objectives or lacks long-term viability, don't hesitate to cut ties. Avoid getting emotionally attached to sunk costs. Properly assess the project's merits and allocate resources to more promising endeavors.

Conclusion:
Building in AI requires a focus on growth, evaluation of ideas, and the ability to make tough decisions. By learning from Netflix's failed social strategy, we can understand the importance of objective evaluation, ignoring sunk costs, and being open to better ideas. In the world of AI, execution and attention to detail are key to success. Remember, the "big idea" is just the beginning – it's how that idea unfolds that truly matters.