"Action-Driven AI and Surviving the Creator Economy Winter: Unveiling the Power of Technology"

"Action-Driven AI and Surviving the Creator Economy Winter: Unveiling the Power of Technology"

Introduction:
The future of artificial intelligence (AI) is action-driven, where AI models like LLMs (language model models) perform better at question-answering tasks when they are prompted to "think step by step." However, to maximize their performance, these models can benefit greatly from external cognitive assets, such as search engines, code interpreters, and human interaction. In this article, we will explore the potential of action-driven AI and discuss how startups can navigate the challenges posed by the creator economy winter.

Action-Driven AI and External Cognitive Assets:
ReAct, a three-step iterative process consisting of Thought, Act, and Observation, empowers AI models to leverage external cognitive assets effectively. By understanding the power of their own tools and aligning actions with user desires, AI systems can achieve optimal results. Additionally, the integration of reinforcement learning can enhance the training process, enabling systems to produce better outcomes as measured by specific metrics of interest. This approach holds great promise for the future of AI, as it enables a rebalance of power in favor of consumers.

Surviving the Creator Economy Winter:
The creator economy has witnessed exponential growth, with a vast number of creators vying for attention and revenue. However, the distribution of earnings remains highly imbalanced, with the top percentage of creators capturing the majority of revenue. To survive the creator economy winter, startups must address the fundamental question of how they can help creators earn their fair share.

1. Providing Revenue Share Opportunities:
   Startups need to offer more than just software tools to creators. The ability to funnel new fans towards creators provides a significant advantage. Platforms that can drive traffic to creators' personal websites, for example, can greatly benefit writers. Additionally, startups must focus on bringing new fans, traffic, and monetization opportunities to creators, surpassing the utility-focused tools of the past.

2. Leveraging Proprietary Technology:
   For a startup to succeed in the creator economy, its proprietary technology must be at least ten times better than its closest substitute in a crucial dimension. Creators, especially the long-tail hobbyists who make up the majority, have limited budgets and high price sensitivity. Thus, creator economy tools must be priced at consumer subscription levels to be viable. Identical monetization methods such as ads and gated access can be employed, but careful consideration must be given to avoid perverse incentives associated with growing the top of the funnel at any cost.

3. Embracing Revenue Share Models:
   Revenue sharing is a crucial aspect of the creator economy. Startups can capture a percentage of revenue, allowing for viability and profitability. Platforms like YouTube, with its dual role of aggregating demand and advertiser supply, have successfully implemented revenue share models. Startups can adopt similar approaches by mixing software modules, incorporating demand aggregation, and taking a percentage of revenue. Examples include platforms like OnlyFans, which currently boasts a best-in-class 20% take rate, and cohort-based-course platform Maven, which helps instructors develop courses while taking a percentage of revenue.

Conclusion:
Action-driven AI holds immense potential for the future, allowing AI models to leverage external cognitive assets and produce optimal results. In the creator economy, startups can survive the winter by offering revenue share opportunities, leveraging proprietary technology, and embracing revenue share models. By prioritizing the needs of creators and providing them with the tools and support they require, startups can thrive in this ever-evolving landscape. As we move forward, it is crucial to continuously explore new strategies and adapt to the changing dynamics of the creator economy to ensure long-term success.