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With various AI tools such as ChatGPT becoming increasingly popular, we areentering a true AI era. We can foresee that exceptional AI tools will soon reapconsiderable profits. A crucial question arise: should AI tools share revenuewith their training data providers in additional to traditional stakeholdersand shareholders? The answer is Yes. Large AI tools, such as large languagemodels, always require more and better quality data to continuously improve,but current copyright laws limit their access to various types of data. Sharingrevenue between AI tools and their data providers could transform the currenthostile zero-sum game relationship between AI tools and a majority ofcopyrighted data owners into a collaborative and mutually beneficial one, whichis necessary to facilitate the development of a virtuous cycle among AI tools,their users and data providers that drives forward AI technology and builds ahealthy AI ecosystem. However, current revenue-sharing business models do notwork for AI tools in the forthcoming AI era, since the most widely used metricsfor website-based traffic and action, such as clicks, will be replaced by newmetrics such as prompts and cost per prompt for generative AI tools. Acompletely new revenue-sharing business model, which must be almost independentof AI tools and be easily explained to data providers, needs to establish aprompt-based scoring system to measure data engagement of each data provider.This paper systematically discusses how to build such a scoring system for alldata providers for AI tools based on classification and content similaritymodels, and outlines the requirements for AI tools or third parties to buildit. Sharing revenue with data providers using such a scoring system wouldencourage more data owners to participate in the revenue-sharing program. Thiswill be a utilitarian AI era where all parties benefit.

Should ChatGPT and Bard Share Revenue with Their Data Providers? A New Business Model for the AI Era