Contents [from] which base AI models were trained, by contemporary creators of varying categories, with an expectation that their contents would be monetized, may have one possible option, amid others, for [how] AI companies may compensate for what they used: promotion.
There are several base AI models, where the contents of several creators were used. This means that it is beyond just a few companies, but several of them, across continents. Some AI companies are making deals with major content companies, while there might be explorations for creators at other stages.
However, compensating for what is already used [as training data] by any company that is seeking to be better responsible than others could use an option of promotion of contents for content creators whose contents may have been used. This could expand how to work with minds and perceptions, as AI accelerates.
A company could create a promotional shuffling program, where a set of creators are highlighted in a certain interval, giving their work some boost, towards future visibility and monetization.
Several AI companies have chatbots, but many of them are expanding their services. Some are deploying AI agents, others are foraying into new functions for different sectors.
There are several contents [from creators] with parallels for what AI companies are currently offering and what they would, in future. It is possible for some content creators to get dates, moments, or brackets that their content can follow some of the results or tasks of AI chatbots, shaping how those contents are seen.
An AI company that has social media platforms can have some promotional credit for content creators, or have a new highlight button to see some [contents] specially for this purpose. Those with search engines or AI agents could also highlight, include, or refer to specific content or categories.
The objective is to ensure that as AI provides a new option for contents, those that make original contents can still get a fair number of requests, shaping how they can further monetize their contents or stay relevant.
Though a large number of content creators could make this approach just possible for sets or categories of them, it will be something that could be at least more beneficial than nothing, such that promotional contents go along AI outputs.
Architecture for this promotion can be designed, with abundant options to cover several pieces of content and all stages of content creators.
If some content creators are promoted and get exposed, to demands for their content, from new customers or some projects, and they need new staff, it is possible to explore a wages-loan program for the content team.
This means that the team or the individual can apply for a loan to pay wages directly. Such that whatever the wages are, necessary for extra labor, for that new project, it can be paid directly at the end of the wage term, as a loan, directly to the recipient(s). The loan should not extend beyond three months, for most cases, and payment should begin afterward.
The loan is not expected to be bulky since it is directly for wages, in the short term, making it somewhat low-risk, and should be for a new project with the capability for repayment.
This could be another way to provide some support to content creators, amid AI, and explorations of how to compensate, by fair corporations, for used training data.
There is a recent story on Reuters, Meta to invest $10 billion for Louisiana data center, stating that “Facebook-parent Meta, opens new tab said on Wednesday it plans to invest $10 billion to set up an AI data center in Louisiana, in what would be the tech company’s largest data center in the world. The Hyperscaler data center, which is planned in Richland Parish, is designed to process huge amounts of data required to support digital infrastructure, including artificial intelligence workloads. The development comes a day after Meta said it was seeking proposals from nuclear power developers to help meet its AI and environment goals, adding that it wanted to add 1 to 4 gigawatts of new U.S. nuclear generation capacity starting in the early 2030s. AI computing has led to a massive surge in the energy needs of Big tech companies such as Amazon and Microsoft, sparking a renewed interest in nuclear power.”
There is a recent announcement by OpenAI, OpenAI and Future partner on specialist content, stating that “OpenAI and Future, the global platform for specialist media, has today announced a strategic partnership to bring content from Future’s 200–plus media brands to OpenAI’s users. Future, headquartered in the UK and listed on the FTSE 250 with operations globally, distributes trusted, specialist content across a range of platforms, including websites, newsletters, videos, magazines, and live events. Its brands include Marie Claire, PC Gamer, TechRadar, Tom’s Guide, The Week, Who What Wear, and Cycling Weekly. The initiative brings Future’s journalism to new audiences while also enhancing the ChatGPT experience. ChatGPT users will be able to access content from across Future’s portfolio, with attribution and links to the full original articles for transparency and further information. This content partnership builds on Future’s existing deployment of OpenAI’s technology. The publisher has developed chatbots so users can engage more deeply with content from Tom’s Hardware and Who What Wear. Future is also using OpenAI’s tools across multiple functions including sales, marketing, and editorial to boost productivity.”
