It’s possible that humans could partner with robots to share revenue in a future machine economy. Imagine many humans coming together pooling their collective knowledge to teach robots a new skill. Those robots could share back a percentage of the revenue/value they produce back to the humans that made their intelligence possible.
Something similar already exists today with universities. College students pay money and time to learn specific skills that will help them earn more money in the future. Students often take out loans that they pay back after graduation. Robots could have the same ability to learn.
Robots could tap into loans that would pay out humans building out top quality training models. Developer’s, researchers, and data collectors are teaching machine intelligence. When those robots go out into the world and start producing value, a percentage could be paid back to the creators as well as the initial lenders.
This could allow for a healthy machine learning economy where humans and machines have continuous aligned incentives. Both parties are profiting from the creation of useful models. Robots are able to learn new skills that allow them to be more productive in a machine economy. Decentralized machine networks could use currencies like $ROBO to help facilitate these incentives.