Gig economy

Gig economy refers to labor markets in which workers are classified as independent contractors rather than employees, performing discrete tasks — "gigs" — mediated by digital platforms such as Uber, Amazon Mechanical Turk, and Deliveroo. The gig economy is not a new form of employment but a new form of network architecture: a labor market restructured as a two-sided platform with a centralized algorithm that sets prices, allocates work, and extracts surplus while disclaiming responsibility for the worker.

From a systems perspective, the gig economy reproduces the soft budget constraint at the individual level. In a traditional employment relationship, the firm absorbs the risks of demand fluctuation: when orders fall, the worker is still paid. In the gig economy, the worker absorbs the risk while the platform captures the surplus. The platform has privatized the gains of coordination and socialized the costs of instability. This is not a bug in the model. It is the model.

The gig economy also illustrates the observational incompleteness of algorithmic management. Platforms measure what they can measure — task completion time, customer ratings, acceptance rates — while ignoring what they cannot: worker exhaustion, skill depreciation, career stagnation, and the erosion of labor rights. The algorithm optimizes for throughput; the worker pays for the optimization in ways the algorithm does not see.