Dependency and Hardship in the Gig Economy
For workers who depend on platform work to survive, the psychological toll is measurably higher — and financial hardship is a key reason why. For side-income gig workers, no penalty at all.
What we studied
The debate over gig work has often split into two camps: those who emphasize its flexibility and entrepreneurial possibilities, and those who highlight its precarity and surveillance. But both sides tend to treat platform workers as a single group — when in reality, a delivery driver who depends on Uber Eats for their entire income is in a very different situation than a software developer who picks up occasional freelance tasks on the side.
We used the idea of "platform dependence" to cut through this debate. Drawing on the job demands–resources (JD-R) model, we argued that the psychological costs of gig work should be highest for workers who rely on platforms as their primary income — because they face the most demands (insecurity, pressure to accept any assignment) while having the fewest real resources (their "flexibility" is driven by necessity, not choice).
We tested this using two nationally representative C-QWELS surveys of working Canadians conducted in September 2020 and September 2021, pooled into a sample of 7,381 workers. We examined psychological distress across five groups: dependent platform workers, secondary platform workers, permanent wage workers, temporary wage workers, and the self-employed — and investigated how financial strain shaped these patterns.
Dependent platform workers are overrepresented by marginalized groups — racialized individuals are five times more likely to report dependent platform work — suggesting platform dependency is more likely a sign of labour market vulnerability than personal choice.
What we found
Dependent platform workers — those who consider platform work their main job — reported clearly higher psychological distress than every other group: secondary platform workers, permanent and temporary wage workers, and the self-employed. Secondary platform workers showed no elevated distress at all. The problem is not gig work per se — it is gig work as a lifeline.
Financial strain was the single biggest explanatory factor. After accounting for financial hardship, the distress gap between dependent platform workers and permanent employees shrank by roughly half but stayed large. The structure of the work itself contributes to psychological harm beyond what money troubles alone can explain.
There was also a compounding effect: at high levels of financial strain, dependent platform workers experienced disproportionately higher distress than all other workers facing equivalent financial difficulties. Around half of dependent platform workers in the study reported financial strain well above average, placing them squarely in this high-risk zone.
Work conditions — including job autonomy, monitoring, and schedule control — contributed almost nothing to explaining the distress differences. Despite reporting higher schedule control than permanent wage workers, dependent platform workers showed no mental health benefit from this flexibility. When survival depends on accepting whatever assignments come in, flexible hours are not really a resource. As the paper concludes: despite their greater levels of schedule control, we find no evidence that this flexibility translates into improved mental health for any of the groups of platform workers that we studied.
What this means
Three evidence-based suggestions for policymakers, platforms, and researchers follow.
Target protections at dependent platform workers — they are the most vulnerable
Not all gig workers need the same policy response. Secondary platform workers — the majority — show no mental health penalty, and broad regulations may unnecessarily constrain an arrangement that works for them. The urgent need is for dependent platform workers, who are disproportionately racialized, younger, and less educated. Targeted supports — including income floors, access to employment insurance, and financial counselling — could meaningfully reduce the precarity that is driving their higher distress.
Flexibility that workers can't actually use is not a benefit
Platform firms routinely cite worker flexibility as evidence that their model promotes well-being. Our findings challenge this directly: dependent platform workers have more schedule control than permanent employees on paper, yet show clearly worse mental health in practice. When economic necessity compels workers to accept every available assignment, formal scheduling freedom is hollow. Platforms that genuinely want to support worker well-being should focus on income stability and predictability, not just the nominal availability of flexible hours.
Measure platform dependency, not just platform participation
Studies that treat all platform workers as a single category will systematically underestimate the mental health consequences of gig work — because secondary workers (the majority) dilute the signal from the most vulnerable group. Future occupational health research should distinguish dependent from secondary platform workers, and track how platform dependency relates to workers' broader labour market histories. Longitudinal data are especially needed to determine whether distress precedes platform dependency or results from it — a question with major implications for both policy and theory.