AI Is Transforming Media Forever: The State of DAO Tooling and Its Impact on Media Companies

Kazuki Nakayashiki

Hatched by Kazuki Nakayashiki

Jul 30, 2023

5 min read

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AI Is Transforming Media Forever: The State of DAO Tooling and Its Impact on Media Companies

In today's rapidly evolving digital landscape, the media industry is undergoing a profound transformation. Artificial Intelligence (AI) is playing a pivotal role in reshaping the way media companies operate and monetize their creativity. With the inherent unpredictability of the creative act, media businesses are constantly seeking ways to de-risk their creative endeavors. This is where AI steps in, providing strategies that flatten the upside of creative work while dampening the downsides. Let's explore how AI is transforming media and its implications for the future.

One of the key strategies employed by media companies to de-risk creativity is summarizing other people's work. It is often easier to summarize something interesting than to create it from scratch. This approach allows media companies to tap into existing content and present it in a new format that resonates with their audience. For example, early Buzzfeed found success by taking popular posts on Reddit and rewriting them as listicles, which reliably went viral. This strategy not only de-risks the creative process but also makes it easier for AI to automate. Summary-based media products are more amenable to automation, paving the way for increased efficiency and productivity.

Another de-risking strategy is finding a content arbitrage. Media companies can take a piece of content that performed well somewhere else and reformat it for their own audience. This approach leverages the success of existing content and tailors it to suit the preferences of a specific target audience. By capitalizing on proven content, media companies minimize the risks associated with creating something entirely new. However, it is worth noting that this strategy also makes it easier for AI to automate content creation. Automation technologies, such as Glasp Hatch, can identify successful content and replicate it in a shorter timeframe.

Formats play a crucial role in de-risking creativity. By providing structure to the creative process, formats make it easier to create something new. They act as a framework, akin to filling out a Mad Libs, that guides the creative output. Media companies often develop their own formats that align with their brand and resonate with their audience. Formats offer a degree of predictability and familiarity, reducing the risks associated with creating entirely novel content. However, as with other de-risking strategies, formats also make it easier for AI to automate content creation. Automated systems can follow predefined formats and generate content at scale.

Shorter and shallower content is another de-risking strategy embraced by media companies. Complexity increases exponentially with the length and depth of creative output. By making content shorter and shallower, media companies can streamline the creative process and minimize the risks associated with more in-depth content creation. This strategy enables media companies to produce content more efficiently and at a faster pace. However, it is important to strike a balance as shallow content may lack substance and fail to engage audiences effectively.

Sequels provide another avenue for de-risking creativity. Rather than coming up with something entirely new, media companies can remix and expand on existing content. This is why Hollywood churns out sequels after sequels. By capitalizing on the success of previous content, media companies reduce the risks associated with creating something fresh. However, this strategy also presents an opportunity for AI to automate content creation. Automated systems can easily remix and expand on existing content, further blurring the line between human and AI creativity.

Interviewing people is an effective de-risking strategy as well. It is often easier to have an interesting conversation and summarize it than to generate new ideas from scratch. By conducting interviews and summarizing the key insights, media companies can create engaging content while minimizing the risks associated with generating original ideas. This approach leverages the expertise and perspectives of others, providing valuable insights for the audience. However, as with other de-risking strategies, interviewing people also opens the door for AI automation. Natural language processing algorithms can analyze interviews and generate summaries, reducing the need for human intervention.

While AI offers significant benefits for media companies in terms of de-risking creativity, there are also risks and challenges to consider. The increasing automation of content creation and production may lead to job displacement for writers who are currently employed by larger media companies. However, there is also an opportunity for individual writers to leverage AI tools to create media products independently. The cost structure of creating media products is shifting towards a more software-like model, enabling writers to devote more time to research and writing longer, more in-depth articles that are less amenable to automation. This can result in higher-quality content that offers unique insights and perspectives.

In conclusion, AI is transforming media forever by revolutionizing the way content is created, de-risked, and monetized. De-risking strategies such as summarizing other people's work, finding content arbitrages, creating formats, making content shorter and shallower, producing sequels, and conducting interviews have become essential tools for media companies. These strategies enable media companies to streamline their creative processes, increase efficiency, and mitigate risks. However, it is crucial to strike a balance between leveraging AI automation and preserving the unique value that human creativity brings. By incorporating AI tools and techniques, writers can enhance their leverage, create better work, and navigate the evolving media landscape successfully.

Actionable Advice:

  1. Embrace AI tools and automation to enhance your creative leverage. Explore platforms and technologies that can streamline your content creation process and provide valuable insights.
  2. Focus on creating longer, more in-depth articles that offer unique perspectives and insights. While shorter content may be easier to produce, investing time in research and writing can set your work apart from automated content.
  3. Leverage your expertise and personal brand to create independent media products. As the cost structure of media creation shifts towards a software-like model, individual writers have the opportunity to devote more time to research and writing, creating high-quality, original content.

By combining the power of AI with human creativity, media companies and individual writers can navigate the changing landscape, embrace new opportunities, and continue to deliver engaging and impactful content to their audiences.

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