TikTok’s Future: Learnings From China and Eigenquestions for the AI Red Wedding

TikTok’s Future: Learnings From China and Eigenquestions for the AI Red Wedding

In today's digital age, where social media platforms dominate the online landscape, companies are constantly seeking ways to stay ahead of the competition and monetize their user base. One platform that has gained significant traction and captured the attention of young people worldwide is TikTok. With its infamous algorithm and user-friendly interface, TikTok has become a hub for creative expression and entertainment. However, its potential extends far beyond just being a platform for viral videos.

According to SVP Prabhakar Raghavan, TikTok's internal studies have shown that 40% of young people prefer using TikTok or Instagram over Google Maps or Search when looking for a place to eat lunch. This statistic highlights the immense power of video search and its potential in unlocking new opportunities for in-app commerce. Companies that can master video search and keep their customers' actions within their app have the ability to expand their business into commerce and payments, tapping into a highly lucrative market.

Imagine if every user-generated video content on TikTok had a location tag that could redirect users to vouchers or other deals. This could revolutionize the advertising landscape, providing merchants with a wealth of new, free, and seemingly unbiased user-generated "ads" for their products or services. With TikTok's billion monthly active users and the average user spending 91 minutes per day on the platform, the potential reach and impact of such a feature are staggering.

Interestingly, this concept is not entirely new. In China, TikTok's sister app Douyin has already integrated search functionality into its platform successfully. With 600 million daily active users, search on Douyin has become a mainstream and popular behavior. Thanks to the algorithms and user behavior on Douyin, the app can push new places to users that they may have never thought to search for. This continuous discovery of the best places around you is made possible through short videos, which improve with every swipe as the platform better understands user interests.

While TikTok's potential in the realm of video search and in-app commerce is exciting, it is important to remember that machines cannot replace humans in certain domains. Moravec's paradox reminds us that there will always be areas where humans excel, such as conceptual understanding, intentional creativity, and deep empathy. Machines, on the other hand, should focus on tasks that humans are not efficient at, such as storage, search, and scheduling.

For entrepreneurs and AI founders, it is crucial to navigate the Idea Maze – a process of asking and answering all the first- and second-order questions that arise when developing a business idea. This exercise helps identify the global optimal product to create, starting from a basic ground truth about the future. Both Jeff Bezos and Elon Musk embarked on this journey, starting with a fundamental belief about the future and working their way backwards to a non-obvious first product.

While most founders and venture capitalists understand that AI has the potential to transform software and industries, the real challenge lies in identifying the non-obvious first product that will drive this transformation. Shishir Mehrotra has coined the term "Eigenquestions" for these critical questions that dominate product strategy. These Eigenquestions are the smallest set of questions with a good branching factor, prescribing all future questions and guiding AI founders towards the billion-dollar idea.

In conclusion, the future of TikTok and the potential of AI lie in leveraging video search and in-app commerce. By mastering video search, social media platforms can unlock new opportunities for monetization and expand their business into the realm of commerce and payments. However, it is important to recognize the limitations of machines and focus on areas where humans excel. Navigating the Idea Maze and identifying the non-obvious first product is crucial for entrepreneurs and AI founders. Before we wrap up, here are three actionable pieces of advice:

1. Embrace the power of video search: Invest in developing algorithms and technologies that enhance video search capabilities, allowing users to discover new places, products, and experiences effortlessly.

2. Think backwards for product strategy: Start with a fundamental belief about the future and work your way backwards to identify the non-obvious first product that will drive transformation in your industry.

3. Balance human and machine capabilities: Recognize the areas where humans excel, such as conceptual understanding and empathy, and focus on leveraging machines for tasks that humans are not efficient at, such as storage and search.

By incorporating these insights and taking actionable steps, companies can navigate the evolving landscape of social media and AI, unlocking new opportunities and driving innovation in their respective industries.