The gig economy is based on short-term, task-based work arranged through digital platforms, while traditional employment usually involves an ongoing relationship with one employer. The main differences concern control, income security, benefits and responsibility, although legal classifications vary.
Platforms use algorithms to match customers with workers, allocate tasks, calculate pay and produce ratings. Workers may choose when to work, but income can be unpredictable and access to future tasks may depend on platform decisions.
| Feature | Gig economy | Traditional employment |
|---|---|---|
| Work relationship | Short-term tasks or contracts, often across clients or platforms | Continuing relationship with one employer |
| Income | Varies with demand, hours, ratings and available tasks | Usually a regular wage or salary |
| Benefits | Often limited or self-funded | May include paid leave, insurance or pensions |
| Control | Flexible hours, but algorithms may influence tasks and performance | Employer sets hours, duties and workplace rules |
| Risk | Worker may provide equipment and absorb periods without work | Employer generally carries more responsibility |
For example, an Uber driver may choose when to log in, but the platform's pricing, matching and rating systems influence available opportunities. In the economic context, platforms can expand access to income and convenient services, while workers may face insecurity and weaker bargaining power. This shows power operating through platform design without a conventional employment contract.
A common misconception is that flexibility automatically means independence. Impacts include income earned and services delivered; implications include future risks to security, autonomy and bargaining power. This is shared SL and HL syllabus content. In an IB Digital Society compare and contrast response, refer to both models throughout, explain how algorithms distribute power among platforms, workers and customers, and avoid treating all gig workers as legally identical. End with a supported conclusion about which model offers greater security or autonomy in the stated context.
