The creative economy where AI predicts and rewards with royalties @0G_labs , @trylimitless , @RariChain The creative economy, where AI predicts the outcomes of creative activities and automatically distributes royalties based on those results, is a model that structurally redefines how the value assessment and revenue distribution of creative works have been constructed. This structure operates around the process of forming economic value by utilizing data and market signals from the pre-creation stage, moving away from the traditional method where works are evaluated in the market and rewards are determined only after completion. At the core of this structure is an AI-based prediction infrastructure. 0G Labs provides an environment where AI can analyze various data sources through a modular structure that separates large-scale data processing and computation. This infrastructure is used to quantify the likelihood of specific creative ideas or concepts achieving certain outcomes based on past creative performance data, publicly available social response indicators, market activity records, and more. This prediction process is distinguished from traditional subjective evaluations in that it is composed of calculable operations and recordable data processing results rather than individual intuition. The results of AI predictions do not remain as mere reference materials but are transformed into economic signals through prediction markets. Limitless, operating on the Base chain, offers short-term prediction markets where participants can trade on whether specific creative performance indicators have been met. In this process, predictions are expressed in the form of prices, and a collective evaluation is accumulated as multiple participants take positions reflecting their information and judgments. This market structure is characterized by treating prediction results as fluid economic indicators rather than fixed numbers. The creative works themselves are issued in an environment where royalty enforcement is mandated at the protocol level. RARI Chain is designed to reject transactions that do not include royalties at the network level when trading NFTs through an Arbitrum-based layer structure. As a result, creators automatically receive a portion of secondary trading profits based on the verification rules of the chain itself, without relying on the policies or practices of individual marketplaces. The royalty rate can be set per asset, and the same rules are consistently applied every time a transaction occurs. When these structures are combined, the procedures of the creative economy consist of a continuous flow of prediction, market signal formation, asset issuance, and reward distribution. AI processes data from the pre-creation stage, the prediction market expresses this as economic prices, and creative works are issued in a form that includes royalties, with subsequent trading profits automatically distributed. In this process, the accuracy of predictions is linked to the profits and losses of market participants, and royalty enforcement is maintained by technical rules. This structure involves various stakeholders participating simultaneously. Creators can check how their work is being economically evaluated through predictions and market signals, and they receive ongoing rewards through the royalty enforcement structure even after transactions. Entities participating in predictions find themselves in an environment where their analytical results are validated through the differences between market prices and actual performance. Capital providers allocate capital based on performance indicators and prediction markets rather than individual creators or completed results. At the same time, this structure clearly reveals friction points with existing systems. Prediction markets are directly connected to gambling and financial regulations in various countries, and there have been reports of restrictions or prohibitions on similar services in some jurisdictions. Additionally, tokenized assets with automatically enforced royalties bring legal issues such as securities classification, tax criteria, and cross-border transaction processing. Technically, issues such as data manipulation, market distortion, and bias in indicator selection remain ongoing management targets. The creative economy that combines AI-based predictions and protocol-level royalty enforcement shows a structure where creative activities are traded not just based on outcomes but also on processes and expectations. This model serves as a case explaining how different economic orders are formed by measuring the value of creation post-factum versus quantifying and fixing distribution rules in advance. This structure can be described as a combination of currently existing individual technologies and services, with each element based on systems that already operate independently. $0G $RARI $LMTS $ARB $BASE