Equally, the use of pattern recognition algorithms in various tasks (e.g., diagnostics, emotion- and face-detection, surveillance) is highly susceptible to disruption. A technical understanding of machines like these is essential to understanding how to interrupt them, and any future left must be as technically fluent as it is politically fluent. In the end, what is required is an analysis of the automation trends that are restructuring production and circulation, and a strategic understanding of where new points of leverage might develop.

Nick Srnicek, Alex Williams: Inventing the Future