Economic Survey 2025-26 paints rosy picture of job scenario, raises concerns on inequality among gig workers

2026-06-23 · 3 min

UPSC CSE Context Why in News: Economic Survey 2025 26 highlights employment growth but flags income volatility and financial exclusion among gig workers. Syllabus Connection: Indian Economy: Employment, informal sector, gig economy, labour reforms, financial inclusion. Exam Relevance: Relevant for questions on jobless growth, informal sector formalisation, social security for gig workers, and impact of platform economy. Core Issue Gig workers face low earnings, thin file credit, and algorithmic control despite sector growth. Key Development: Survey notes 40% of gig workers earn below ₹15,000/month and have limited credit access. Stakeholders: Platform companies Government Reserve Bank of India Static Knowledge High Value Background: Gig economy involves short term, flexible jobs mediated by digital platforms, often lacking formal employment benefits. Labour Codes 2020 consolidate laws on wages, social security, industrial relations, and occupational safety. Concepts in Context: Thin fi

## UPSC CSE Context **Why in News:** Economic Survey 2025-26 highlights employment growth but flags income volatility and financial exclusion among gig workers. **Syllabus Connection:** Indian Economy: Employment, informal sector, gig economy, labour reforms, financial inclusion. **Exam Relevance:** Relevant for questions on jobless growth, informal sector formalisation, social security for gig workers, and impact of platform economy. ## Core Issue Gig workers face low earnings, thin-file credit, and algorithmic control despite sector growth. **Key Development:** Survey notes 40% of gig workers earn below ₹15,000/month and have limited credit access. **Stakeholders:** - Platform companies - Government - Reserve Bank of India ## Static Knowledge **High-Value Background:** - Gig economy involves short-term, flexible jobs mediated by digital platforms, often lacking formal employment benefits. - Labour Codes (2020) consolidate laws on wages, social security, industrial relations, and occupational safety. **Concepts in Context:** - Thin-file credit: limited credit history, making it hard for gig workers to access formal loans. - Algorithmic management: platform algorithms control work allocation, monitoring, and pay, raising fairness concerns. **Institutions and Mechanisms:** - Periodic Labour Force Survey (PLFS) provides employment-unemployment data. - Labour Codes aim to extend social security to gig workers, but implementation is pending. ## Dynamic Analysis ### Economy - Gig sector grew 55% from 77 lakh (2020-21) to 1.2 crore (2024-25), outpacing overall employment growth. - Non-agricultural gig workers projected to be 6.7% of workforce by 2029-30, contributing ₹2.35 lakh crore to GDP. - Low earnings (40% below ₹15,000/month) indicate precarious livelihoods despite sector expansion. - Thin-file credit access limits gig workers' ability to invest in skills or cope with income shocks. ### Governance - Platform algorithms create opaque work conditions, requiring regulatory oversight for fairness and transparency. - Deregulation and GST 2.0 have boosted formalisation, but gig workers remain in regulatory grey area. ### Science and Technology - AI/ML-driven platforms raise concerns about algorithmic bias, burnout, and job displacement. - Digital infrastructure (smartphones, UPI) enables gig expansion but also enables algorithmic control. ## Mains Value Addition **Arguments:** - Gig economy offers flexibility but lacks social security, creating a dual labour market. - Algorithmic management can lead to exploitation without transparency and accountability norms. - Financial inclusion via thin-file credit scoring can empower gig workers. **Data Points:** - Over 80 crore smartphone users and 15 billion UPI transactions per month drive gig growth. **Counterpoints:** - Critics argue that Labour Codes may increase compliance costs, discouraging formalisation. - Algorithmic transparency could reduce platform efficiency and innovation. ## Way Forward - Implement social security codes to cover gig workers with portable benefits. - Develop thin-file credit scoring models using alternative data (e.g., transaction history). - Mandate algorithmic transparency and grievance redressal mechanisms for platform workers. - Promote skill development programmes aligned with gig economy demands.

Source: Economy