A recipe for a cookshop of the future.
In the 1960s, the Soviet mathematician Victor Glushkov proposed a nationwide computer network to help planners allocate resources. With the help of the English cybernetician Stafford Beer, Salvador Allende’s administration in Chile tried something similar in the 1970s, called Cybersyn. Neither project got very far. Glushkov’s idea ran into resistance from the Soviet leadership, while Pinochet’s coup ended Cybersyn before it was fully implemented. However, the dream lives on.
Today, digital socialism could obviously do much more. The internet would make it possible to funnel large quantities of information from all over the world into planning systems, almost instantaneously. Gigantic leaps in computer power would make it possible to process all of this data rapidly. Meanwhile, machine learning and other forms of artificial intelligence could sift through it, to discover emergent patterns and adjust resource allocations appropriately. In The People’s Republic of Walmart, Leigh Phillips and Michal Rozworski argue that large companies like Walmart and Amazon already use these digital tools for internal planning—and that they now need only be adapted for socialist use.
While there are certainly emancipatory potentials here, they are far from adequate to the task of planning production in a post-capitalist world. The digital socialist focus on algorithms presents a serious problem. It risks constraining the decision-making processes of a future socialist society to focus narrowly on optimization: producing as much as possible using the fewest resources. To travel down this road is to ignore and discard vast amounts of qualitative information, which remains crucial to achieving many of the ends and goals of a socialist society.
After all, the societies of the future will want to do more than just produce as much as possible using the fewest resources. They will have other goals, which are more difficult to quantify, such as wanting to address issues of justice, fairness, work quality, and sustainability—and these are not just matters of optimization. This means that, no matter how powerful the planning algorithm, there will remain an irreducibly political dimension to planning decisions—for which the algorithm’s calculations, no matter how clever, can only serve as a poor substitute. Algorithms are essential for any socialist planning project because they can help clarify the options among which we can choose. But human beings, not computers, must ultimately be the ones to make these choices. And they must make them together, according to agreed-upon procedures.