Current Affairs – March 04, 2026

{GS2 – IR} Iran’s Naval Blockade of the Strait of Hormuz **

Context (IE): Iran’s reported closure of the Strait of Hormuz amid regional conflict has threatened global oil trade and India’s import stability.

About Strait of Hormuz

Strait of Hormuz lies between Iran (north) and Oman’s Musandam Peninsula (south), linking the Persian Gulf to the Gulf of Oman and the Arabian Sea.
It is the world’s most critical energy chokepoint and the sole maritime exit for the Persian Gulf.
Energy Transit: Nearly 20% of global oil supply and one-fifth of global LNG trade (mainly from Qatar) pass through it.
Fertiliser Trade: Around one-third of global fertiliser exports transit this route.
Alternative Routes: Saudi Arabia’s East–West Pipeline and the UAE’s Fujairah Pipeline provide the only bypass options.
- Capacity Gap: Their combined unused capacity of 2.6 million bpd can offset only 13% of the total Hormuz oil transit.

Significance for India

Crude Dependence: About 50% of India’s crude imports, nearly 2.5 million barrels per day, transit the Strait of Hormuz.
Gas Supplies: ~85% of India’s LPG imports and ~60% of LNG imports move through it.
Import Exposure: ~20% of India’s total imports transit this corridor, including ~40% of DAP, ~85% of Methanol, and virtually all Ethylene Glycol imports.
Price Sensitivity: Every $1 per barrel rise in crude prices raises India’s annual import bill by ~$2 billion.
Growth Impact: A sustained $10 per barrel increase in oil prices can reduce India’s real GDP growth by ~0.25 percentage points.

India’s Contingency Framework for Hormuz Disruption

Strategic Reserves: India’s Strategic Petroleum Reserve, with a capacity of 5.33 million tonnes, provides about 9.5 days of net import cover.
- Total Cover: Combined with commercial stocks, India’s total crude oil cover stands at roughly 75 days, below the IEA-recommended 90-day buffer.
Russia Pivot: India can absorb discounted Russian crude delivered via sea routes that entirely bypass the Strait of Hormuz.
Source Diversification: Spot purchases from the USA, West Africa, and Latin America can offset disrupted Gulf supplies.
Pipeline Access: Commercial arrangements can allow access to Saudi Arabia’s East-West Pipeline and the UAE’s Fujairah Pipeline.
Naval Security: The Indian Navy maintains escort operations in the Gulf of Oman under Operation Sankalp to protect Indian-flagged vessels.

LPG Vulnerability: Unlike crude oil, India maintains no strategic LPG reserves, making it the most exposed fuel during a prolonged Hormuz blockade.

{GS3 – IE} Financing Skill Development in India

Context (TH): India’s demographic dividend offers a historic opportunity, yet the Galgotias University controversy highlights the urgent need to improve Skill India’s governance and financing systems.

Current Status of Financing Skill Development in India

Low Enrollment: Only 1.3% of Indian secondary students are enrolled in vocational courses, compared with 50% in the EU and China.
Fund Underuse: The FY 2026 internship scheme utilised just 5% of its allocated funds.
Outcomes: PMKVY audit shows 94.5% of bank accounts are invalid, & only 41% of trainees are placed.
Data Gap: NEP 2020 target of 50% student exposure to vocational training remains far from achieved.

Need to Finance Skill Development in India

Demographic Window: Urgent financing is needed to leverage India’s workforce before the 2040 demographic dividend closes.
Vocational Gap: Only 1.3% of secondary students are in vocational streams, demanding targeted funding for skill expansion.
Scheme Inefficiency: Low fund utilisation in Pradhan Mantri Kaushal Vikas Yojana (PMKVY) highlights the need for accountable and well-financed skill programs.
Market Demand: Skill loans, vouchers, and levies can empower learners and create a competitive, demand-driven ecosystem.

Key Challenges in Financing Skills

Fragmented System: Skill schemes are divided among many ministries, with no single data system, leading to poor monitoring and inefficient use of funds.
Audit Lapses: CAG found that 94.5% of bank accounts were invalid and that only 41% of trainee placements under PMKVY were valid, indicating weak financial controls.
Poor Results: Training focused more on enrolment numbers than job outcomes, despite spending over ₹10,000 crore annually.
Low Industry Support: Employers have limited financial ownership of skill programmes, unlike in over 90 countries that use skill levies, keeping India’s system largely government-funded & supply-driven.

Way Forward

Skill Loans: Using part of PMKVY’s over ₹10,000 crore annual funds as student loans can give poor students more choice and push institutes to improve quality, like education loan models.
Skill Vouchers: Giving vouchers directly to learners, as done in Singapore, can help them choose courses in AI, digital and green skills based on job demand.
Industry Levies: More than 90 countries collect training levies from companies, linking payment to payroll and refunding it after training to ensure employer ownership.
Live Data: Sharing real-time job data through portals like National Career Service (NCS), using AI can replace outdated skill gap studies and match training with market demand.

{GS3 – IE} Rethinking Digital Searches for Taxation

Context (TH): The Supreme Court in Vishwaprasad Alva vs Union of India (2026) is examining the constitutional validity of digital search powers under the Income Tax (IT) Act, 2025.

Evolution of Search Powers

IT Act, 1961 (Section 132) permits anticipatory searches of premises, physical assets, and ledgers based on a recorded “reason to believe.”
Pooran Mal v. Director of Inspection (1974) upheld Section 132, citing a compelling State interest in fiscal enforcement.
IT Act, 2025 (Section 247), expands search powers to “computer systems” and “virtual digital space,” including password disclosure and digital access controls.
Justice K.S. Puttaswamy vs Union of India (2017) recognised informational privacy as intrinsic to dignity under Article 21.

Arguments in Favour of Digital Searches

Procedural Safeguards: Section 132 requires prior notice and recorded approval by senior officers before authorising searches.
Review Mechanism: As reaffirmed in the Laljibhai Mandalia case (2022), courts can examine the jurisdictional material underpinning search authorisation.
Legitimate Objective: Revenue enforcement remains a constitutionally recognised State function under the Pooran Mal doctrine.
Data Fragility: Digital evidence can be erased, encrypted, or transferred remotely, which justifies the need for anticipatory intervention.

Arguments Against Digital Searches

Data Intrusion: Digital devices store sensitive personal and third-party data beyond tax relevance, raising proportionality concerns.
Privacy Infringement: Unrestricted access conflicts with informational privacy under Article 21.
Oversight Deficit: Executive-controlled authorisation and confidential “recorded reasons” limit judicial review under Articles 14 and 21.
Doctrinal Obsolescence: 1974 jurisprudence is inadequate to address modern data extraction and digital network exposure risks.

Safeguards for Constitutionally Compliant Searches

Specified Scope: Authorisations must clearly define targeted devices, cloud accounts, and data categories linked to the inquiry.
Necessity Threshold: Digital searches should only be conducted when less intrusive statutory measures are insufficient or unlikely to succeed.
Defined Limits: Data extraction must remain confined to relevant time periods and subject matter.
Data Protection: Robust protocols must separate legally privileged communications from unrelated third-party materials.
Audit Trail: All search procedures must be documented, transparent, and open to effective judicial review to ensure proportionality.

{GS3 – IE} Climate Shocks Threaten Global Sports Economy

Context (DDN | RE): A recent study by the World Economic Forum (WEF) warns that climate shocks and rising physical inactivity threaten the global sports economy.

Scale of Global Sports Industry

The global sports economy currently generates $2.3 trillion in annual revenues worldwide.
The industry is expected to grow to $3.7 trillion by 2030 and further increase to $8.8 trillion by 2050.
Industry growth depends on emerging economies, the mainstreaming of women’s sports, and the rapidly expanding sports tourism sector.

Key Findings of the Study

Economic Loss: Climate shocks and physical inactivity could cost $517 billion (14% loss) by 2030 and $1.6 trillion (18% loss) by 2050.
Winter Sports Risk: By 2040, only 10 countries might reliably host the Winter Olympics due to decreasing snowfall.
Vicious Cycle: Environmental degradation reduces activity, and inactivity raises climate-related health risks, creating a self-reinforcing feedback loop.
Carbon Footprint: The sports industry emits 400–450 MT of carbon dioxide each year, worsening the climate challenges it faces.

Mitigation and Adaptation Strategies

Resource Stewardship: Adopt sustainable water use, eco-friendly materials, and recycling sporting goods to reduce waste at mega sports events.
Urban Planning: Encourage physical activities through city planning by protecting green spaces and building climate-resilient mobility infrastructure.
Impact Financing: Redirect sponsorship and investment towards measurable ESG (Environmental, Social, and Governance) outcomes.

{GS3 – S&T} AI in Education **

Context (PIB): India is leveraging Artificial Intelligence to transform its education landscape, integrating AI through the NEP 2020 and the IndiaAI Mission.

Need for AI in Education

Skill Gap: India requires over 1.25 million AI professionals by 2027, highlighting urgent upskilling needs.
Personalised Learning: AI enables customised education and improves learning outcomes for diverse students, including those with learning disabilities.
Teacher Support: AI tools like the “AI for Educators” Module enhance teacher capabilities, curriculum delivery, and inclusive pedagogy.
Digital Inclusion: Platforms like DIKSHA and SWAYAM ensure AI education reaches remote and underserved communities, bridging the digital divide.

“AI for Educators” Module: Trains teachers in AI curriculum, pedagogy, inclusive teaching, project creation, and responsible AI ethics.

Transforming Learning Through AI

Skill Boost: AI helps students think critically and solve problems. E.G., 39% of skills will change by 2030.
Personal Learning: AI adapts lessons to each student’s pace. E.g., DIKSHA platform reaches over 41 lakh students for tailored learning.
Teacher Aid: AI supports teachers in planning and assessment. E.g., SOAR’s “AI for Educators” trained many teachers, 45% of whom were women.
Innovation Push: AI helps students apply learning to real problems. E.g., IIT Delhi’s DeepFlood AI predicts floods using satellite data.

Government Initiatives for AI in Education

The government is advancing AI education through schools, higher education, and skill-development programs to ensure inclusive, accessible, and industry-ready learning.

AI-Courses for Students and Educators

DIKSHA Platform: AI-enabled learning app with keyword search, read-aloud features, and inclusive content for students, teachers, and parents.
SOAR Initiative: Skilling for AI Readiness (SOAR) is an AI skills program for classes 6–12 and teachers with three 15-hour student modules and one 45-hour “AI for Educators” teacher module.
SWAYAM Courses: Offers over 110 free AI courses from IITs/IISc, engaging over 41.2 lakh students nationwide for self-paced learning.

AI in Higher Education

AICTE Programs: Integrates AI in IT courses, conducts hackathons, faculty development, and offers women engineering scholarships.
SkillSaksham Program: The objective is to equip ITI students with advanced AI skills for industry readiness and innovation.
YUVA AI For All: Aims to democratise AI education by providing free foundational courses to students, youth, and citizens nationwide.

{Prelims – Geo} Lunar Eclipse *

Context (NOA): A total lunar eclipse took place today and was visible across India.

A lunar eclipse occurs when Earth moves directly between the Sun and the Moon, casting its shadow on the Moon.
It occurs only during a Full Moon, when the Sun, Earth, and Moon are aligned in a straight line (Syzygy).
A lunar eclipse doesn’t occur every Full Moon because the Moon’s orbit is tilted about 5°, so it usually passes above or below Earth’s shadow.
Shadow Structure: Earth produces two shadow areas — the umbra, a fully dark inner core and the penumbra, a partially shaded outer region.
Types:
- Total Lunar Eclipse: Moon moves completely into Earth’s umbra, often appearing reddish, known as a Blood Moon.
- Partial Lunar Eclipse: Only a portion of the Moon enters the umbra due to an imperfect alignment.
- Penumbral Eclipse: The Moon passes through the penumbra, resulting in a subtle dimming.

Read More > Solar Eclipse

{Prelims – S&T} Nucleic Acid Amplification Testing (NAT) *

Context (TH): The Supreme Court of India is examining whether Nucleic Acid Amplification Testing (NAT) should be made mandatory for all blood transfusions.

Mandate: Under the Drugs and Cosmetics Act, 1940, blood screening requires serological tests for HIV, Hepatitis B, Hepatitis C, malaria, and syphilis.
Limitation: Serological tests have a longer window period, which increases the chance of infected blood returning a false-negative result.
Risk Reduction: NAT reduces Transfusion Transmissible Infection (TTI) risk to near zero by directly detecting viral genetic material during the window period.

The window period is the time between initial infection and when a test can reliably detect it.

About Nucleic Acid Amplification Testing (NAAT)

Nucleic Acid Amplification Testing (NAAT) is a molecular diagnostic technique that detects the genetic material of pathogens.
Mechanism: It isolates a specific genetic sequence of a pathogen and amplifies it to detectable levels using enzymes.
Common Method: The most common NAAT method is Polymerase Chain Reaction (PCR), which uses thermal cycling to target DNA sequences.
- Other Methods: Nucleic Acid Sequence-Based Amplification (NASBA), Transcription-Mediated Amplification (TMA), Loop-Mediated Isothermal Amplification (LAMP).
Limitation: NAAT’s high sensitivity can return a false-positive result by detecting non-viable genetic fragments even after an infection has cleared.