Alexander Lange published a piece titled Mapping the decentralized world of tomorrow, which includes an infographic showing the landscape of many of the tokens launched so far. He lays it out in a graph, beginning with platforms and protocols and followed by middleware, financing methods, and decentralized applications. A few interesting points:
On token value:
Value is created on token level rather than on equity level, therefore opposing everything we experienced in conventional software businesses. Tokens represent an atomic unit of a company’s business model. Some are sold to finance the project but their main purpose is to monetize products and services in the long run. Tokens don’t make sense for any business model and need to fit into the company’s landscape of services to be useful….. A more objective approach of valuing a token would be to define its “utility value” by analyzing real life KPIs.
The fundamentally different value creation allows for new kinds of venture financing in form of ICOs attracting developers, technologists, early adopters and mainstream investors in that order.
On possible new business models:
We might see a paradigm shift from the “data economy” towards an “attention economy”. As soon as the infrastructure for self sovereign data ownership is in place and users get back the control over their data…think of being payed by the network for writing high quality stuff on reddit, medium or facebook… think of google with a transparent ranking algorithm fighting fake news and corruption.
Lange believe it will take time, since users don’t care about the backend technology, rather they care about the functionality. Still he believes the potential for major adoption is there:
Mainstream adoption is still pretty far ahead, maybe 5 years or more. People don’t care whether or not software is built on blockchain technologies, what counts is utility and price.
Some similar points to what Balaji S. Srinivasan wrote about recently, specifically in regards to looking at the bigger picture of the technology and temperament of timeframes.