Algorithmic Management: When Software Is the Boss

How apps and algorithms assign tasks, set pay and monitor workers in delivery, warehouses and offices, and the debates this raises.

For millions of workers, the “boss” is increasingly a piece of software. Algorithmic management means using algorithms to direct, evaluate and discipline workers.

Where it is used

Delivery and ride-hailing apps: algorithms assign orders, set routes, calculate pay and rate workers.
Warehouses: systems track how quickly workers pick items and set productivity targets.
Call centres and offices: software monitors calls, keystrokes and time spent on tasks.
Retail: scheduling software sets shifts based on predicted customer traffic.

Benefits for firms

Efficiency: matching tasks and workers in real time.
Scale: managing thousands of workers without many human supervisors.
Data: detailed information on performance.

Concerns for workers

Opacity: workers often do not know how pay or ratings are calculated.
Intensity: tight targets can push workers to work faster, raising injury risks.
Unpredictable income: pay may change with algorithm updates.
Deactivation: workers can be removed from platforms automatically, with little chance to appeal.
Surveillance: constant monitoring can feel intrusive and stressful.

Economics of power

Economists note that algorithms can increase employers’ information advantage over workers, strengthening their bargaining power. At the same time, platforms give workers flexibility that traditional jobs may not.

Regulation

The European Union’s Platform Work Directive, adopted in 2024, requires more transparency about algorithmic decisions and human review of important decisions such as deactivation.
In India, Rajasthan passed a law for platform-based gig workers in 2023, and Karnataka followed in 2025, including provisions on transparency and welfare funds. The Code on Social Security also covers gig and platform workers.

The changing pay formula

A delivery rider notices his earnings per order have fallen, but the app does not explain why. Riders compare notes online and suspect a change in the algorithm. Without transparency, they cannot tell whether it reflects demand, distance or a pay cut.

Thinking algorithms are always neutral

Algorithms reflect the goals and data chosen by companies. They can embed biases and shift power toward employers.

Key takeaways

Algorithmic management uses software to assign, evaluate and discipline workers.
It brings efficiency but raises concerns about opacity, intensity and surveillance.
Algorithms can increase employers' information advantage.
The EU and Indian states have introduced rules for platform transparency.