Uber and the Dark Arts of Algorithmic Management

Why It Matters

Uber’s algorithmic management reshapes labor relations, giving firms unprecedented control over gig workers while exposing them to new forms of coercion and regulatory risk.

Key Takeaways

• Uber uses algorithmic management to monitor and control driver behavior.
• Drivers face constant A/B testing of pay structures and routing options.
• App‑based nudges replace traditional supervision, limiting driver autonomy.
• Incentive schemes tie earnings to Uber’s demand, not driver preferences.
• Surveillance features raise ethical concerns about coercion and worker rights.

Summary

The episode examines Uber’s use of algorithmic management to oversee gig‑workers, framing the platform as a modern incarnation of scientific management. By embedding monitoring, incentives, and routing decisions within its driver app, Uber turns the smartphone into a virtual foreman that dictates when, where, and how drivers work.

The discussion highlights that nearly four million drivers were on Uber’s books by 2018, and that the broader platform economy has grown from 0.3% to 1.6% of U.S. checking accounts receiving regular platform income between 2013 and 2018. Drawing parallels to Frederick Taylor’s principles, the show argues that Uber’s algorithms replace human supervisors with data‑driven rules that aim to maximize efficiency while minimizing labor costs.

Illustrative quotes include driver Maurice’s uneasy mantra, “They know,” and sociologist Alex Rosenblat’s observation that drivers are subject to continuous A/B experiments. Specific examples—such as the destination‑filter feature that cut driver pay by 30% and speed‑monitoring alerts that turn red at 55 mph—show how Uber’s nudges can feel coercive despite being framed as safety or fairness measures.

The implications are profound: algorithmic control erodes driver autonomy, blurs the line between independent contractor and employee, and raises regulatory and ethical questions about surveillance, wage manipulation, and the future of work in the gig economy.

Original Description

You don't need to be a card carrying communist to appreciate the familiar tension between employees and management, but what happens when your boss is an app? In this episode of the In-House Ethicist, John Paul Rollert explores the ways in which Uber has tried to perfect the art of app based management. He catalogues the ways in which the company nudges and controls its drivers and discusses how their efforts portend a world where management techniques will increasingly be automated.