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

Published 2026-06-23 · Updated 2026-06-23 · 3 min · 430 words

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.

Primary/reference source: Economy