India’s Labour Laws - AI and Automation

Why India’s Labour Laws Must Evolve for the Future of Work

Artificial Intelligence (AI) and automation are transforming the global workforce, and India is no exception. From IT-enabled services and financial institutions to manufacturing and logistics, technology is reshaping employment structures, creating new opportunities while displacing traditional roles. This shift has sparked urgent calls for labour law reforms in India to strike a balance between innovation, productivity, and worker protection.

Background: India’s Technological Transition

• IT & BPO Sector: AI-powered chatbots and process automation are reducing reliance on human customer support.
• Manufacturing: Robotics and Industry 4.0 practices are replacing repetitive tasks on assembly lines.
• Logistics & Retail: Automated warehouses, drones, and AI-driven supply chain management are redefining labour needs.
• Gig Economy: Algorithmic management by platforms (ride-hailing, delivery services) mirrors AI-driven labour allocation and performance monitoring.

While automation enhances efficiency, it also poses risks of job displacement, widening skill gaps, and erosion of traditional labour protections.

Current Labour Law Framework

India’s consolidated four labour codes (wage, social security, industrial relations, and occupational safety) are designed around traditional employer-employee relationships. However, they struggle to address:

• AI-driven gig work where human supervision is replaced by algorithms.
• Worker classification issues (employees vs. independent contractors).
• Rights around workplace surveillance, data privacy, and algorithmic bias.
• Continuous skilling and reskilling needs for displaced workers.

Key Areas Needing Reform

1. Worker Classification in the AI Era

Labour codes must expand definitions of “employee” and “worker” to include those managed through AI-driven platforms or human-machine collaboration environments.

2. Right to Social Security for Displaced Workers

A framework for transition funds or automation displacement insurance should be created to protect workers affected by large-scale automation.

3. Algorithmic Accountability

• Workers should have the right to transparency in algorithmic decision-making (pay cuts, deactivation, performance ratings).
• Limits should be placed on workplace surveillance through AI monitoring tools.

4. Skill Development and Lifelong Learning

Labour reforms must integrate mandatory employer contributions to skill reskilling funds, ensuring displaced workers are reabsorbed into emerging roles.

5. Collective Bargaining in the Digital Workplace

Traditional trade unions must be empowered to represent gig and AI-managed workers, ensuring a voice in algorithmic governance.

International Lessons

• European Union (EU): Proposing laws to regulate algorithmic management in gig work.
• Singapore: Mandating retraining programs for workers displaced by automation.
• UK: Courts recognising algorithm-managed workers as entitled to employment rights (Uber case, 2021).

India can adapt these models while keeping in mind its vast informal sector and reliance on low-skilled labour.

Balancing Growth with Protection

For India, AI and automation are both a challenge and an opportunity:

• Challenge: Millions in low-skilled roles risk displacement, deepening unemployment.
• Opportunity: With proper reskilling and reforms, India can create a globally competitive workforce that thrives in AI-driven industries.

The key lies in progressive labour policies that protect vulnerable workers while encouraging innovation.

Conclusion

AI and automation are reshaping India’s world of work faster than labour laws can adapt. To avoid deepening inequalities, India needs labour law reforms that recognise new forms of work, ensure algorithmic fairness, provide social security safety nets, and prioritise reskilling.

Such reforms would not only protect India’s workers but also position the country as a global leader in managing the transition to the future of work.