I anticipate a future where we redefine a work-week as the duration of a specific just-in-time gig, a weekend as the gap between gigs, vacations as opportunities presented by anticipation of long gaps but subject to sudden termination when new opportunities occur. The day itself will have break times that will vary day to day and may arise with no advanced notice, leading us to arrange social encounters with near-strangers who happen to share something in common including the fact that they are free at the same time.
Dedomenology has a saturation aspect, requiring very long periods of work stretching over many days regardless of the concepts of standard working hours such as a 40 hour workweek. When something needs to be tackled, it will employ the dedomenologist continuously until there is some level of completion. There will be an endless stream of assignments that someone will need to dive into the depths of the data ocean and staying there for a long time until the assignment is over.
The assumption is that the initial condition of the fully automated economy and government is ideal in terms of a modern middle-class experience for everyone with a guaranteed income and free entertainment. It can only get worse from there. Humans offer nothing to improve the future of the automation. Inevitably, they will segregate into groups. Those groups will strive for improvements of their condition where their best opportunity is at the expense of other groups. The automation will adapt.
I think this daily expense account is more realistic than a basic income to provide for the basic welfare of the unemployed in a fully automated economy. It is also helpful to illustrate how dismal this state of affairs will be. The expense account is a daily ration, and a cot in a shelter. But the shelter will have plenty of available virtual-reality head consoles.
The trend toward data lakes presents a pool of data that presents multiple versions truth that are analogous to newsstands or libraries of newspapers and periodicals chronicling current events. With the increasing need for people to get their “news” from data, it may be helpful to envision data science as an evolution of journalism instead of STEM (computer and math sciences). The computer science part is the equivalent of the printing press. The value of data comes from journalist skills.