Current Affairs – February 22, 2026

{GS1 – Geo – EG} Rare-Earth Permanent Magnet Manufacturing in India **

Context (TH): India will start producing rare-earth permanent magnets domestically within the year, as announced by the Union Mines Minister.

About Rare-Earth Permanent Magnet (REPM)

Nature: REPMs are the strongest permanent magnets available commercially, made from alloys of rare earth elements (REEs).
Global Production: China controls about 90% of global production and processing of REPMs.
Types: There are mainly two categories:
- NdFeB Magnets: Neodymium-iron-boron magnets offer the highest magnetic strength but have lower temperature resistance than samarium–cobalt units.
- SmCo Magnets: Samarium-Cobalt magnets have lower strength but are highly durable, making them suitable for aerospace, medical, and military uses.
Key Applications: They are essential for wind-turbine generators, electric vehicles (EVs), small electronic devices, and medical and defence systems like MRI units and precision-guided weapons.

Rare Earth Permanent Magnet Manufacturing Scheme

Integrated Incentive Design: The scheme combines Production-Linked Incentives and capital subsidies to create an integrated supply chain of REPMs to reduce import dependence.
Nodal Agency: Overseen by the Ministry of Heavy Industries with assistance from relevant bodies.
Objective: To create domestic manufacturing capacity of 6,000 Metric Tons per annum (MTPA).
Duration: It is planned for 7 years, including a 2-year phase to establish the REPM manufacturing facility and 5 years of sales-linked incentives.
Significance: It strengthens the automotive supply chain, supports the nation’s Net Zero 2070 commitment, and aligns with the Viksit Bharat 2047 vision.

Significance of Rare-Earth Permanent Magnet

Energy Transition Enabler: Permanent magnets are critical for clean energy technologies; E.g., a single large wind turbine may require 500–600 kg of rare-earth magnets.
Import Dependence Reduction: India heavily relies on processed magnet imports despite its rare-earth reserves, exposing domestic industries to price and geopolitical shocks.
High Economic Multiplier: Global rare-earth magnet demand is projected to more than double by 2035 (IEA estimates), indicating future industrial stakes.

Rare Earth Availability in India

REE Potential: India holds around 6% of the world’s rare earth reserves.
Geographical Spread: Found mainly in coastal beach sands and inland alluvium across Andhra Pradesh, Odisha, Tamil Nadu, Kerala, West Bengal, Gujarat, Maharashtra and Jharkhand.
Monazite Reserves: India holds around 13.15 million tonnes of monazite, containing nearly 7.23 million tonnes of Rare Earth Oxides (REO).

Read More> Strategic Rare Earth Corridors

{GS2 – Governance} Policy Vacuum in India’s Road Accident Compensation Law **

Context (TH): Motor Accident Claims Tribunals (MACT) have flagged a critical policy vacuum in cases involving uninsured vehicles where the offending owner has no attachable assets.

Guarantee Gap: There is currently no sovereign fund to satisfy judicial awards in cases where the offending vehicle is identified but uninsured.

India’s Road Accident Compensation Framework

Statutory Mandate: Section 146 of the Motor Vehicles (Amendment) Act, 2019, mandates third-party insurance for all vehicles operating in public spaces.
Liability Model: The framework utilises a Dual Liability Model to ensure victims receive compensation regardless of the accident’s complexity:
1. No-Fault Liability: Provides a fixed, final compensation of ₹5 lakh for death or ₹2.5 lakh for grievous hurt, without requiring proof of driver negligence.
2. Fault-based Liability: Allows for unlimited “just” compensation based on proven negligence, considering the offender’s responsibility and the victim’s loss.
Adjudicatory Mechanism: Motor Accident Claims Tribunals (MACT) are specialised courts with civil powers to decide “just compensation” for victims.
Hit-and-Run Solatium: The Motor Vehicle Accident Fund (MVAF) guarantees ₹2 lakh for death and ₹50,000 for grievous hurt if the offending vehicle is untraceable.
Fiscal Protection: Under the Union Budget 2026, interest awarded by MACT to individuals (natural persons) is entirely exempt from Income Tax and TDS.

Challenges with Current Road Accident Compensation Framework

Uninsured Fleet: Nearly 14.3 crore vehicles (45% of the registered fleet) lack mandatory third-party insurance, undermining statutory safeguards under the Motor Vehicles Act, 1988.
Insolvency Deadlock: Victims face an “empty chair” situation when uninsured offenders lack attachable assets, as no insurer bears liability for tribunal awards.
Valuation Barriers: Tribunals apply outdated minimum wage notifications to calculate the notional income of informal workers, resulting in inconsistent and often inadequate compensation.
Renewal Gap: Despite the Supreme Court mandate for long-term third-party insurance, automated renewal tracking for older vehicles remains absent.
Litigation Longevity: Contested claims often take 3-5 years to resolve, leaving dependents to endure prolonged financial hardship.

{GS2 – Vulnerable Sections} Rehabilitation of Bonded Labour

Context (TH): Millions of migrant labourers in India are forced into bonded labour, facing exploitation and harsh conditions.

Despite legal safeguards, many remain trapped in cycles of poverty & servitude.

Understanding Bonded Labour in India

Meaning: Bonded labour refers to a situation where a person is compelled to work to repay a debt or fulfil an obligation, often under coercive conditions.
- This can involve physical restriction, non-payment or underpayment of wages, or compulsion to continue work even against one’s will. It may also arise from customary or inherited obligations, trapping generations in forced labour.

Legal Framework

Bonded Labour System (Abolition) Act, 1976: Abolished bonded labour, cancelled debts, mandated release, and provided rehabilitation.
Bharatiya Nyaya Sanhita (BNS), Section 143: Penalises forced labour and human trafficking, complementing the BLSA.
Juvenile Justice Act & SC/ST (Prevention of Atrocities) Act: Provide additional protection for children and marginalised communities.

Slip Back into Bondage Despite Legal Abolition

Rehabilitation Delay: Hundreds of rescued labourers in Odisha waited months for financial aid under the 1976 Act, forcing them back into exploitative work.
Unrehabilitated Numbers: SECC‑2011 recorded 8,304 bonded labourers rescued in Odisha, yet the State never reported follow-up rehabilitation actions.
Slow Rescue: In 2023–24, only 155 bonded labourers were rescued in Odisha, reflecting weak identification and monitoring mechanisms.
Data Gaps: Nationally, 1.65 lakh bonded labourers were legally freed, but outdated surveys like SECC‑2011 hinder long-term tracking and support.

Rehabilitation and Implementation Gap

Assistance Delay: Financial aid and livelihood support often take months or years, forcing rescued labourers back into exploitation.
Coordination Gap: Weak inter-departmental coordination among Labour, Revenue, Panchayati Raj, and Police hampers effective rehabilitation.
Short-Term: One-time relief without education, skills training, or social security fails to ensure long-term stability.
Successful Model: Odisha’s 2010–2015 program rehabilitated 1,200 bonded labourers via integrated welfare schemes, showing the value of sustained support.

Measures to Strengthen Rehabilitation

Data Monitoring: Update bonded labour surveys and maintain real-time databases to track rehabilitation outcomes.
Financial Assistance: Immediate relief and graded rehabilitation must be disbursed without bureaucratic delays.
Livelihood Promotion: Skills training, employment guarantees, and inclusion in anti-poverty schemes can reduce forced migration.
Social Reform: Caste-based bondage requires social reform, awareness campaigns, and legal enforcement to prevent hereditary exploitation.
Accountability Enforcement: Clear roles, standard operating procedures, and inter-departmental coordination are essential for effective implementation.

{GS2 – IR} India’s Bilateral Engagements at the India AI Impact Summit

Context (NOA): The India-AI Impact Summit 2026 provided a platform for India to advance bilateral strategic partnerships in AI, trade, and industrial collaboration across Europe and the Gulf.

Key Bilateral Engagements

France (President Emmanuel Macron)

Innovation Year: The 2026 India-France Year of Innovation officially commenced to promote joint research in science and cyberspace.
Medical AI: France launched the Franco-Indian Centre for AI in Health as a joint initiative by AIIMS New Delhi, Sorbonne University, and the Paris Brain Institute.

United Arab Emirates (Crown Prince Sheikh Khaled bin Mohamed)

Supercomputer Deployment: India’s C-DAC and the UAE’s G42 finalised an agreement to deploy an 8-exaflop supercomputer cluster under the India AI Mission.
Financial Services: The Abu Dhabi National Insurance Company announced the opening of a new operational office at GIFT City in Gujarat.

Read More > UAE-India Corridor

Spain (President Pedro Sanchez)

Maritime Security: Spain officially joined the Indo-Pacific Oceans Initiative (IPOI) to strengthen regional maritime security.
Aviation Progress: The leaders reviewed the operational progress of the Tata-Airbus C-295 transport aircraft facility in Vadodara.

Also Read About > Spain Formally Joined Indo-Pacific Oceans Initiative

Finland (Prime Minister Petteri Orpo)

Trade Target: India and Finland formally committed to doubling bilateral trade through the India-EU Free Trade Agreement (FTA).
Technological Expansion: New commitments expanded technological cooperation in 6G telecommunications, biofuels, and the circular economy.

Estonia (President Alar Karis)

Economic Ties: The newly concluded India–EU Free Trade Agreement (FTA) emerged as a key vehicle to strengthen bilateral economic ties.
Technological Alignment: Estonia’s ‘AI Leap’ programme will now align with India’s AI initiatives to collaborate on futuristic technologies.

Switzerland (President Guy Parmelin)

Global Governance: Switzerland invited India to join the Council of Europe’s framework convention on AI to establish binding governance standards.
Trade Implementation: The leaders reviewed the 2024 India-EFTA TEPA to expand market access and enhance technological cooperation.

Greece (Prime Minister Kyriakos Mitsotakis)

Connectivity Expansion: The leaders discussed expanding regional connectivity through the India-Middle East-Europe Economic Corridor (IMEC).
Strategic Cooperation: Both countries agreed to enhance cooperation in defence, maritime shipping, and talent mobility.

Netherlands (Prime Minister Dick Schoof)

AI Diplomacy: The leaders resolved that middle powers must bridge the AI development gap between the Global North and South.
Bilateral Cooperation: Both nations are committed to deepening cooperation in semiconductor manufacturing, mega water projects, and green hydrogen production.

Read More > India-AI Impact Summit 2026

{GS3 – S&T} AI-Driven Genomics

Context (PIB): Recently, the Department of Biotechnology (DBT) has deployed AI-driven Genomics to advance personalised prescriptions and predictive medicine nationwide.

About AI-Driven Genomics

Meaning: It refers to the use of Artificial Intelligence (AI) technologies to analyse, interpret, and apply genomic data for research, diagnostics, and healthcare.
Genomics: The study of an organism’s complete set of DNAs including all genes, to understand genetic variation and disease links.
Genome: The genome is the complete DNA sequence in a cell, containing all genes.
Genome Sequencing: Genome sequencing is deciphering the exact order of base pairs in DNA.
- Process: Sequencing involves “reading” the DNA to determine the precise sequence of nucleotides.
- Base Order: DNA consists of ordered base pairs (A, T, G, C) that form the genetic code.

Significance of AI-Genomics

Healthcare: AI-genomics enables personalised, predictive treatments for better patient outcomes.
Public Health: AI accelerates disease detection and risk prediction in TB and maternal health.
Biotech Advancement: Bio-AI hubs and Genome India boost research, translational medicine, and global biotech competitiveness.

Government Initiatives in AI-Driven Genomics

AI Gene Sequencing: DBT uses AI for genome sequencing to enable personalised prescriptions and predictive medicine.
Bio-AI Mulankur Hubs: DBT-BIRAC to establish 2026 hubs integrating AI predictions, lab validation, and analytics for genomics research.
Genome India Project: Maps genetic diversity using AI to identify disease-associated variants for predictive medicine.
National Genomics Core: Provides high-throughput sequencing and AI-enabled analytics at Kalyani and Hyderabad centres.
InTGS: Indian Tuberculosis Genomic Surveillance Consortium (InTGS) AI tracks drug-resistance mutations in Mycobacterium tuberculosis, reducing detection time from weeks to days.
GARBH-Ini: AI identifies 66 genetic markers linked to preterm birth for early intervention.