Fair Wages and Dignity for Gig Workers in India's Economy

As gig workers protest for better pay, we must rethink the tipping culture and uphold humane work practices for sustainable growth.
SuryaSurya
6 mins read
Gig workers struggle for fair pay and humane schedules in booming delivery industry
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1. Gig Economy and the Illusion of Choice

The gig economy is often projected as a space of flexibility and freedom, where workers can choose when and where to work. In theory, this autonomy distinguishes gig work from traditional employment. However, the editorial highlights a paradox: when all available platforms offer similar pay structures and conditions, choice becomes illusory.

In a low-employment opportunity context like India, gig work has emerged as a significant absorber of surplus labour. For workers with limited formal skills, platforms have filled a critical employment gap. Consequently, the debate shifts from freedom of choice to compulsion driven by lack of alternatives.

This framing has governance implications. If policymakers accept “some job is better than no job” uncritically, it risks normalising sub-optimal labour standards. Over time, this can institutionalise precarity and weaken the incentive for platforms to improve work conditions.

“Development consists of the removal of various types of unfreedoms that leave people with little choice and little opportunity.”Amartya Sen, Development as Freedom

The core governance logic is that labour markets shaped by scarcity distort bargaining power. Ignoring this imbalance risks entrenching exploitation as a structural feature rather than a transitional phase of economic development.

2. Gig Worker Discontent: Nature and Causes

Despite gratitude for employment, gig workers express dissatisfaction with remuneration and work conditions. As documented in OTP Please by Vandana Vasudevan, workers report steadily declining service fees, opaque incentive structures, and algorithm-driven controls over their time and movement.

The opacity of payment systems undermines trust between workers and platforms. While flexibility in scheduling is valued, algorithmic monitoring that tracks availability and rest blurs the boundary between autonomy and surveillance.

Importantly, workers recognise that switching platforms does not meaningfully improve outcomes, as business models across firms converge. This creates a “race to the bottom” dynamic, where competition focuses on consumer prices rather than worker welfare.

“Labour is not a commodity.”Karl Polanyi, The Great Transformation

From a development perspective, dissatisfaction without exit options leads to silent compliance rather than productive engagement. If unaddressed, this can manifest in periodic unrest without systemic reform.

3. Consumer Position in the Gig Economy Debate

Consumers are central beneficiaries of quick commerce and food delivery services. Convenience, speed, and affordability have driven widespread adoption, reinforcing platform growth. However, consumer awareness of worker exploitation remains limited and weakly translated into behavioural change.

Platforms have attempted to humanise delivery partners by sharing profiles or centring them in advertising narratives. These measures aim to foster empathy and encourage tipping, thereby indirectly supplementing worker incomes.

Yet, the editorial suggests that consumer solidarity remains shallow. While there is episodic sympathy during adverse conditions like rain, it does not translate into consistent support or willingness to absorb higher costs.

“Every act of consumption is also a moral and political act.”Pope Francis, Laudato Si’

The governance insight is that ethical consumption cannot be assumed in price-sensitive markets. Without institutional nudges, consumer conscience alone is insufficient to correct labour imbalances.

4. Tipping Culture and Its Structural Limits

Tipping has emerged as a partial mechanism to ease gig worker distress. However, India is not a tipping-intensive society. Unlike the United States, where delivery app tips average 15–20%, tipping in India generally remains around 5–10%.

Higher tips are situational rather than systemic, increasing during inclement weather or physically demanding deliveries. Notably, larger orders attract a lower percentage of tips, indicating that tipping is not perceived as a proportional responsibility.

This places limits on tipping as a redistributive tool. Over-reliance on voluntary consumer behaviour risks shifting responsibility away from platforms and obscuring the need for structural pay reforms.

Comparative perspective:

  • US platforms: 15–20% average tips
  • India platforms: 5–10% average tips

“The challenge is not just creating jobs, but creating decent jobs.”International Labour Organization (ILO)

The developmental logic is that informal income supplementation cannot substitute for fair wage design. Ignoring this risks legitimising ad-hoc welfare in place of enforceable standards.

5. Scheduling, Flexibility, and Algorithmic Control

Flexibility in scheduling is one of the most cited positives of gig work. Evidence from the MIT Sloan Management Review (Winter 2025) indicates that 44% of gig workers emphasised schedule as important, compared to 13% among enterprise software professionals.

Gig workers also reported higher satisfaction with their schedules (84%) than business consulting executives (27%). This reflects the value of temporal autonomy, especially for workers managing multiple responsibilities.

However, the editorial points out a contradiction: algorithmic systems closely monitor worker behaviour, including rest patterns. This erodes genuine flexibility and creates stress, undermining the very advantage that attracts workers to gig platforms.

Key data:

  • Schedule importance: 44% gig workers vs 13% enterprise professionals
  • Positive perception of schedule: 84% gig workers vs 27% consultants

“Technology is neither good nor bad; nor is it neutral.”Melvin Kranzberg

From a policy standpoint, flexibility without safeguards becomes control by another name. Ignoring algorithmic governance risks converting autonomy into disguised supervision.

6. Scale of Employment and Policy Dilemmas

The gig and quick commerce sector has generated 7.7 million jobs and is projected to reach 23.5 million by 2030, according to former NITI Aayog CEO Amitabh Kant. This scale makes the sector economically and politically significant.

Given that many Indian gig workers depend on platform work as their primary livelihood, disruptions or heavy-handed regulation could affect employment levels. At the same time, unchecked platform practices can degrade labour standards at scale.

This creates a policy dilemma: balancing job creation with worker protection, without undermining the viability of platform-based business models.

Employment figures:

  • Current jobs: 7.7 million
  • Projected by 2030: 23.5 million

“Growth without equity is socially destabilising.”Joseph E. Stiglitz

The governance challenge lies in managing growth with dignity. Ignoring either employment generation or worker welfare risks long-term instability and loss of trust in reform.

7. Emerging Regulatory and Industry Responses

The government’s move to discourage “10-minute delivery guarantees” signals recognition of safety and labour concerns. Such nudges aim to recalibrate incentives away from extreme speed that burdens delivery partners and compromises road safety.

Platforms have experimented with consumer engagement strategies, such as visible tipping prompts and delivery partner narratives. However, these remain fragmented and voluntary.

The editorial suggests that an industry-wide approach—combining humane scheduling, transparent pay systems, and explicit encouragement of tipping—may offer incremental relief without sudden cost shocks.

The development logic is incrementalism with coordination. Ignoring collective approaches risks piecemeal fixes that fail to alter underlying incentives.

Conclusion

The gig economy sits at the intersection of employment generation, consumer convenience, and labour welfare. While it has created millions of jobs, persistent worker discontent highlights structural imbalances in power and pay.

“The test of progress is not whether we add more to the abundance of those who have much; it is whether we provide enough for those who have too little.”Franklin D. Roosevelt

A calibrated mix of regulation, platform responsibility, and informed consumer participation is essential to ensure that economic dynamism does not come at the cost of dignity of labour.

Quick Q&A

Everything you need to know

Gig workers in India’s quick-commerce (qcom) and food-delivery sector face a combination of financial, operational, and structural challenges.

Financial exploitation: Gig workers often experience declining service fees, opaque payment structures, and inconsistent incentives. Despite fulfilling critical roles, their earnings remain low, and switching platforms rarely improves their situation.

Work conditions and scheduling: Flexible schedules, while beneficial, are often controlled by opaque algorithms that can be punitive, tracking workers’ movements and even resting periods. Studies show 44% of gig workers mention scheduling as a critical factor affecting job satisfaction, highlighting the tension between flexibility and control.

Consumer perception: Unlike in the US where tipping is substantial, Indian consumers contribute 5–10% in tips on average, often influenced by weather, order difficulty, or distance. This creates additional income unpredictability for gig workers.

Implications: These structural issues collectively create a system where gig workers feel exploited despite having employment, emphasizing the need for regulatory, consumer, and platform-driven interventions.

The persistence of gig workers in low-paying, exploitative roles is driven by socioeconomic and structural factors.

Limited employment opportunities: In a country with low formal employment opportunities, gig work provides immediate income and sustenance. Many workers view it from the lens of “some job is better than no job,” especially for those without alternative livelihoods.

Platform lock-in: Switching to another platform rarely improves earnings or conditions, creating a systemic trap. The opacity of algorithms, incentives, and payment mechanisms reinforces dependence on existing platforms.

Consumer demand: High demand for instant delivery services keeps platforms profitable and pressures workers to maintain performance, even under suboptimal conditions. The year-end strikes had minimal impact on consumer behavior, demonstrating that structural reliance on gig labor remains unchallenged.

Conclusion: This highlights the need for legislative frameworks, platform accountability, and consumer awareness campaigns to improve working conditions while retaining employment opportunities.

Improving gig worker conditions requires a multi-pronged approach balancing regulation, platform practices, and consumer engagement.

Platform-level initiatives: Platforms can enhance transparency in payment and incentives, implement fair scheduling algorithms, and provide flexible yet humane work hours. Incorporating workers’ feedback into operational decisions can reduce stress and exploitation.

Policy-level interventions: Regulatory nudges such as curbing unrealistic delivery timelines (e.g., the government discouraging the “10-minute delivery guarantee”) and formal protections for gig workers can institutionalize fair practices.

Consumer engagement: Platforms can nudge consumers to tip appropriately, as seen in campaigns like "Tipping Sahi Hai". Sharing worker profiles or humanizing delivery partners can also increase empathy and voluntary compensation from end users.

Example: In the US, DoorDash and Uber Eats have successfully used tipping nudges, resulting in 15–20% average tips. India can adapt these practices gradually to improve gig worker welfare without major disruption to service delivery.

Low tipping culture in India is influenced by social norms, economic factors, and consumer behavior patterns.

Socioeconomic norms: Unlike the US, tipping is not deeply ingrained in Indian society. Consumers generally perceive service charges or delivery fees as sufficient, reducing the inclination to tip.

Economic constraints: Many consumers in India operate under tight budgets, leading to tips averaging 5–10% of the order value. Larger orders often receive proportionally lower tips, reflecting a cost-conscious approach.

Behavioral interventions: Platforms have attempted nudges to increase tipping, including providing multiple tipping options or showing worker profiles, but these measures are relatively new and less institutionalized compared to decades-long practices in the US.

Implications: To improve gig worker welfare, platforms and policymakers need culturally tailored campaigns that normalize tipping and incentivize fair compensation without significantly increasing overall consumer costs.

Several interventions globally and in India demonstrate ways to enhance gig worker conditions.

US examples: Platforms like DoorDash and Uber Eats use tipping nudges with predefined percentages (10%, 15%, 20%) to standardize and encourage gratuity. This has led to an average tip of 15–20%, increasing income stability for delivery partners.

Indian context: Zomato shares delivery partner profiles with end consumers, creating empathy and nudging generous tipping behavior. Swiggy’s creative ad campaigns have also highlighted the human story behind delivery, indirectly influencing consumer behavior.

Scheduling improvements: Research in MIT Sloan Management Review highlights that allowing flexible yet predictable scheduling increases worker satisfaction. 84% of gig workers reported positive perceptions when schedules were humane and transparent, demonstrating the critical role of operational management in welfare.

Implications: Such examples indicate that a combination of behavioral nudges, operational transparency, and platform engagement can materially improve gig worker earnings and job satisfaction.

The statement 'Some job is better than no job' captures the economic reality for many gig workers but overlooks issues of dignity, sustainability, and exploitation.

Merits: Gig work provides immediate income, employment flexibility, and access to opportunities for unskilled or semi-skilled workers, particularly in regions with limited formal jobs. The industry has created 7.7 million jobs and is projected to grow to 23.5 million by 2030, demonstrating its role in employment generation.

Limitations: This perspective normalizes exploitation by underpaying workers, enforcing opaque schedules, and limiting upward mobility. Workers’ grievances regarding declining service fees, unpredictable income, and algorithmic oversight indicate structural inequities.

Way forward: While the availability of work is important, it should not justify poor working conditions. Regulatory frameworks, platform accountability, and consumer nudges must combine to create fair employment practices, ensuring that 'some job' evolves into a 'dignified and sustainable job' for gig workers.

To ensure sustainable gig employment, India requires coordinated interventions by government and platforms.

Regulatory measures: Policymakers can mandate transparency in payment and incentive structures, introduce minimum earning thresholds, and enforce humane scheduling norms. The recent government nudge against the '10-minute delivery guarantee' is a step in the right direction, showing how regulation can reduce exploitative pressure.

Platform-driven initiatives: Platforms should design algorithms that optimize workload distribution, minimize punitive monitoring, and integrate worker feedback. Enhancing consumer engagement through tipping nudges, profile sharing, and gamified incentives can improve compensation without increasing delivery costs excessively.

Socioeconomic impact: Given the expected expansion to 23.5 million jobs by 2030, creating a sustainable gig ecosystem not only benefits workers but also improves service reliability, customer satisfaction, and overall industry growth. Combined, these measures can transform gig work from a precarious survival job to a stable and dignified livelihood, aligning with broader labor welfare goals in India.

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