Machine Intelligence is a prediction technology.
Technology revolutions tend to involve activity that becomes cheap like the cost of communication or finding information.
Finding information means more search. More search means more data. Data means more research. Research for the research. That’s fine….. really.
The economic shift will center around a drop in the cost of prediction.
Machine intelligence will lower the cost of goods and services. Prediction is an INPUT to a host of activities including transportation, agriculture, healthcare, energy, manufacturing, and retail.
When the cost of INPUT falls we will perform more tasks using prediction. Machine intelligence lowers the cost of prediction. As the cost of prediction falls, inventory management and demand forecasting will take on new dimensions. The data is INPUT data.
AI is asked to predict.
Prediction is evolving into a component to bring solutions to problems. As machine intelligence improves the value of human prediction, value judgment skills will increase. Judgment is a complement to prediction. When the cost of prediction falls demand for judgment rises.
More research results as from more data. More data leads to more judgment. Employees will learn more skills from the predictive analysis and increase productivity.