How AI Chatbots Could Make Money Besides Ads

The article argues that advertising is a poorly suited business model for AI chatbots because it disrupts the conversational illusion that makes the technology engaging. Unlike traditional platforms where ads are a standard revenue stream, integrating promotions into a natural dialogue feels unnatural and intrusive, potentially driving users away. Major providers currently show little enthusiasm for this approach, preferring to maintain the seamless experience that drives adoption. Instead, the primary revenue opportunities lie in APIs, plugins, and subscriptions. By offering API access, developers allow third parties to build on their infrastructure, mirroring successful cloud service models. Plugins integrate real-world services directly into the chat interface, creating value through utility rather than interruption. Furthermore, users are increasingly willing to pay for premium features and faster processing speeds, establishing subscriptions as a stable and growing income source for providers. This discussion is relevant to open data because it highlights the tension between data monetization and user trust. The article warns that licensing personal conversational data for targeted advertising could lead to significant privacy scandals, a critical concern for open data advocates who prioritize transparency and ethical data handling. Understanding these alternative business models helps clarify why protecting user data from intrusive commercial exploitation is essential for the sustainable and ethical development of AI technologies.

Source: thewrap.com
Published on 2023-04-22

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