[This is a stopgap for an intended post to position FairPay for the currently emerging era of digital media and AI. The time seems ripe.]
Until explained better, see "PART 1 – FairPay concepts -- economic exchange in the digital era" of this post, which provides an introduction to FairPay, a family of innovative win-win revenue models that is broadly relevant now. (You can skip the introduction aimed at the Web Monetization community.)
Additional background is listed under the Selected Items tab, above.
I developed a whole family of innovative FairPay strategies beginning in 2010 on this blog and many business and scholarly publications, and evangelized those ideas with many businesses and researchers, until phasing deeper into social media in my other blog. The post linked above contains the most recent overview (2021).
FairPay generated great interest, but limited uptake. A key gating issue was complexity and cognitive load on users from an adaptive pricing strategy -- but now, the expected rise of Personal AI agents (PAIs) promises to largely eliminate that problem, as a customer PAI agent negotiates with the vendor AI agent -- not over price, but over how value is understood and the value surplus is shared by both parties -- to reduce the burden on the user.
Please read those prior explanations with the idea of such a Personal AI agent in mind.
