GK One-Liners

What: The National Institution for Transforming India (NITI) Aayog released its Fiscal Health Index (FHI) 2026, a composite ranking of Indian states on public finance management. Odisha topped the Achiever category with a score of 73.1, while Arunachal Pradesh led the separate North-East/Himalayan states category with a score of 59.5. The report was released by NITI Aayog Vice Chairman Suman Bery and Chief Executive Officer Nidhi Chhibber.

How: The FHI evaluates states across five pillars: Quality of Expenditure, Revenue Mobilisation, Fiscal Prudence, Debt Index, and Debt Sustainability. States are grouped into categories (General, Special Category, North-East/Himalayan) to enable like-for-like comparisons. The index incentivises states to improve budgetary discipline and reduce off-balance-sheet liabilities.

Why: This is high-yield for UPSC Prelims — expect questions on rank, pillars, or the releasing authority. For Mains (GS-III), it connects to cooperative federalism, fiscal federalism, and the 15th Finance Commission’s emphasis on states’ own revenue generation. NITI Aayog’s role as a think-tank (not a fund-disbursing body unlike the erstwhile Planning Commission) is a recurring conceptual distinction.

What: The United Nations Security Council (UNSC) passed Resolution 2817 (2026), condemning Iran’s alleged destabilising activities in the Middle East. The resolution was co-sponsored by India and led (submitted) by Bahrain on behalf of the Gulf Cooperation Council (GCC). It passed with 13 votes in favour and 2 abstentions from China and Russia.

How: A total of 135 countries co-sponsored the resolution — a significant number reflecting broad multilateral consensus. The GCC, a regional bloc of six Gulf Arab states, coordinated the push. India’s co-sponsorship signals its calibrated engagement with West Asian geopolitics and its deepening ties with Gulf nations, balanced against its traditionally non-aligned posture.

Why: This tests multiple UPSC themes simultaneously: UNSC voting mechanics (veto powers, abstentions), India’s foreign policy in West Asia, and the GCC’s role. For Mains GS-II, the resolution is relevant to India’s Act West Policy, energy security (India imports ~40% of its oil from the Gulf), and the Iran-India relationship (Chabahar Port context).

What: In 2025, India surpassed China to become the largest supplier of cotton products to the United States (USA) for the first time. This marks a historic shift in global textile trade, with India capturing the top position in one of the world’s biggest consumer markets for cotton-based goods including yarn, fabric, and garments.

How: The shift was driven by a combination of factors: rising geopolitical tensions between the US and China prompting supply chain diversification, India’s competitive labour costs, expansion of technical textile capacity under the Production Linked Incentive (PLI) scheme for textiles, and growing investment in man-made fibre and cotton blends. India is the world’s second-largest cotton producer and exporter.

Why: For UPSC, this connects to GS-III topics of agriculture (cotton as a Kharif cash crop), industrial policy (PLI scheme, Make in India, Atmanirbhar Bharat), and international trade. The fact that India displaced China — not just entered the market — is the specific anchor for Prelims. It also relates to India’s export target of $1 trillion by 2030.

What: In March 2026, the Supreme Court of India ruled that parental income alone cannot be the sole criterion for determining the “creamy layer” within Other Backward Classes (OBC) reservations. The court held that occupational status must also be considered alongside income when assessing whether an individual has risen above the socio-economic threshold that makes reservation benefits necessary.

How: The creamy layer concept — first established in the landmark Indra Sawhney vs Union of India (1992) judgment — excludes the more affluent and socially advanced members of OBCs from reservation benefits. Currently, the income ceiling for creamy layer exclusion is ₹8 lakh per annum. The Supreme Court’s latest ruling refines this by directing that occupation (e.g., being a Class I/II government officer) must independently trigger creamy layer status, irrespective of disclosed income.

Why: This is a recurring UPSC theme across Prelims (specific judgments, income threshold) and Mains GS-II (social justice, reservation policy, constitutional provisions under Articles 15 and 16). The ruling directly engages with the tension between formal equality and substantive equality — a key analytical frame for UPSC essay and GS answers. It also feeds into ongoing debates on sub-categorisation within OBCs (see the recent SC judgment on sub-classification, 2024).

What: The Centre for Development of Telematics (C-DOT), India’s premier telecom R&D organisation under the Department of Telecommunications (DoT), received international recognition at Mobile World Congress (MWC) Barcelona 2026 for developing an indigenous Artificial Intelligence (AI)-based solution for detecting telecom fraud. This system identifies fraudulent calls, SIM swap attacks, and other cyber-telecom crimes in real-time.

How: C-DOT’s solution uses machine learning models trained on Indian telecom traffic patterns to flag anomalies — including International Mobile Equipment Identity (IMEI) cloning, bulk SIM fraud, and CLI (Calling Line Identification) spoofing. It is designed to integrate with existing telecom infrastructure without requiring complete system overhaul. Recognition at MWC — the world’s largest telecom industry event — signals global scalability of India’s indigenous tech.

Why: For UPSC, this topic spans Science & Technology (AI applications, telecom security), Digital Governance (Sanchar Saathi portal, TAFCOP for SIM management), and Atmanirbhar Bharat (indigenous tech development). C-DOT’s mandate, its parent ministry (DoT), and its role in developing indigenous 4G/5G core stack are all potential Prelims data points. The broader theme of AI in governance is a high-frequency Mains topic.

What: The Reserve Bank of India (RBI) conducted its second Open Market Operations (OMO) purchase tranche of ₹50,000 crore on 13 March 2026. Combined with the first tranche of ₹50,000 crore on 9 March 2026, the total OMO injection in this cycle reached ₹1 lakh crore (₹1,00,000 crore). OMOs are a key instrument of monetary policy by which the RBI buys or sells government securities in the open market.

How: When the RBI purchases government securities (G-Secs) through OMOs, it injects liquidity into the banking system — commercial banks receive cash in exchange for bonds, increasing their funds available for lending. This is an expansionary monetary tool used when the system faces a liquidity deficit. The RBI uses OMOs alongside other tools like the Repo Rate, Cash Reserve Ratio (CRR), and Standing Deposit Facility (SDF) to manage liquidity.

Why: OMOs are a staple of UPSC Prelims (definition, direction of liquidity impact) and Mains GS-III (monetary policy tools, RBI’s role in liquidity management). The scale — ₹1 lakh crore in one week — signals significant liquidity tightening in the system that RBI is correcting. This connects to broader themes of transmission of monetary policy, credit growth, and the RBI’s dual mandate of price stability and growth support.