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daniyasiddiquiImage-Explained
Asked: 08/10/2025In: News

What are the key changes proposed by the RBI under its new liberal banking rules?

the key changes proposed by the RBI

banking regulationco‑lendingexpected credit loss (ecl)gold loansliquidity managementrbi reform
  1. daniyasiddiqui
    daniyasiddiqui Image-Explained
    Added an answer on 08/10/2025 at 4:23 pm

    1. Relaxing Credit Risk Guidelines to Spur Lending One of the most significant ones includes updated credit risk standards. Previously, Indian banks had to maintain high capital cushions while lending to specific industries like real estate, infrastructure, and small and medium enterprises. This tenRead more

    1. Relaxing Credit Risk Guidelines to Spur Lending

    One of the most significant ones includes updated credit risk standards. Previously, Indian banks had to maintain high capital cushions while lending to specific industries like real estate, infrastructure, and small and medium enterprises. This tended to increase the cost of borrowing and deter banks from lending to riskier industries.

    Under the new system, the RBI intends to reduce the “risk weights” for loans to these segments — banks will not need to hold as much capital for every rupee borrowed. This is likely to:

    • Make banks more aggressive in lending, particularly to MSMEs (Micro, Small & Medium Enterprises) and infrastructure projects.
    • Lower the cost of credit to businesses and individuals overall.
    • Support economic recovery by enhancing liquidity in the market.

    Simpler put, the RBI wishes to make lending cheaper and easier, but without making the system irresponsible.

     2. Implementing the “Expected Credit Loss” (ECL) Framework

    The RBI is moving Indian banks to an Expected Credit Loss (ECL) model — a more proactive approach to measuring risk. In contrast to the traditional system, where loan losses were only identified once they happened, the ECL model obliges banks to project and provision for possible losses ahead of time.

    It is internationally accepted (applied in advanced economies) and contributes toward building better financial resilience.
    But realizing Indian banks would take time to adjust, the RBI granted a protracted transition period — until April 2027 — for complete adoption.

    This phased introduction is designed to allow banks to update their risk assessment methods over time, without cutting into profitability in the short run.

    3. Easing Foreign Borrowing Rules (External Commercial Borrowings – ECBs)

    Another major reform focuses on making it easier for Indian companies to raise funds from abroad. The RBI plans to simplify and liberalize External Commercial Borrowing (ECB) norms, which will:

    • Allow companies to borrow more freely based on their financial strength, not rigid caps.
    • Loosen cost restrictions, giving businesses more flexibility to negotiate interest rates with foreign lenders.
    • Open the door to more entities — including restructuring entities or entities under investigation (up to some limits) — to access foreign capital.

    This opening indicates India’s willingness to become more integrated with world capital markets, facilitating easier access for companies to finance expansion, innovation, and infrastructure.

     4. Reducing Capital Requirements for Infrastructure Projects

    The reforms of RBI also address the infrastructure sector specifically, which is the pillar of India’s growth aspirations. By lowering the capital requirement for project loans of long tenures, more highways, energy facilities, and urban development projects will be financed by banks.

    This is being done at a pivotal moment when India is scaling up its “Viksit Bharat 2047” or Developed India mission and requires stable financing to fund huge outlays on infrastructure.

    5. Redefining Retail Exposure & Promoting Financial Inclusion

    RBI has also proposed reclassification of certain retail exposures like well-performing credit card users to enhance credit flow to individuals. This will enhance data-driven consumer lending and financial inclusion.

    Moreover, the reforms are consistent with the larger agenda of increasing access to financial services, opening formal banking and credit to more households, new start-ups, and small traders — the true motors of India’s domestic economy.

    6. Balancing Growth with Stability

    While these steps look liberal, the RBI is not going for a “free-for-all” here. It is accompanying these reforms with tighter oversight and phased-in timelines of implementation to keep the system stable. The plan is to encourage healthy credit growth — one that drives economic activity but does not precipitate the type of over-lending-driven crises that once ravaged global markets.

    7. Why These Changes Matter

    • For companies: Access to loans will be simpler and less expensive, backing growth and innovation.
    • For people: Lower interest rates on lending and greater availability of credit may translate into improved access to personal finance.
    • For the economy: More liquidity and investment could propel GDP growth and employment at a quicker pace.
    • For banks: Moving in the direction of sophisticated, risk-sensitive approaches makes them more competitive internationally.

    Last Word

    The RBI’s new liberal banking rules represent a new chapter in India’s financial evolution. They reflect confidence in the economy’s resilience and in the banking system’s ability to handle more freedom responsibly.

    In essence, India’s central bank is telling its lenders: “Take calculated risks, lend more, innovate — but stay prudent.”

    This balancing act between growth and safety could define how India’s financial system shapes its next decade of progress.

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daniyasiddiquiImage-Explained
Asked: 08/10/2025In: News

Are energy tariffs being used as tools of political leverage amid oil and gas supply shifts?

tariffs being used as tools of politi ...

energy securityexport controlsgeopoliticsoil and gas tradepolitical leverageresource nationalismsanctions
  1. daniyasiddiqui
    daniyasiddiqui Image-Explained
    Added an answer on 08/10/2025 at 3:13 pm

    1) Why energy is a political tool now Energy flows (oil, pipeline gas, LNG, electricity and even components for clean-energy tech) are both economically vital and geopolitically sensitive. When a supplier sells power or fuels to a buyer, it creates leverage: delay deliveries, restrict exports, or raRead more

    1) Why energy is a political tool now

    Energy flows (oil, pipeline gas, LNG, electricity and even components for clean-energy tech) are both economically vital and geopolitically sensitive. When a supplier sells power or fuels to a buyer, it creates leverage: delay deliveries, restrict exports, or raise the effective price and you can extract political concessions, punish behaviour, or shape strategic outcomes. In the current era — with war in Europe, U.S.–China rivalry, and a global push to decarbonize — governments treat energy trade as part of statecraft, not just commerce. 

    2) Real-world examples (2022–2025)

    • Russia and European gas: After 2022, Moscow significantly curtailed pipeline gas to Europe — flows fell and prices spiked — a move widely interpreted as political pressure that targeted reliant economies. Europe’s scramble for alternative supplies and the political unity it forged were direct responses. Analysts warn that a fragmented EU approach can leave it vulnerable to continued leverage. 

    • Oil embargo + G7 price cap on Russian crude: Western governments banned or restricted maritime purchases of many Russian crude grades and imposed a price cap to limit revenue to Moscow while keeping global markets functioning. That package combined trade restrictions and financial constraints to achieve political aims. Research shows these measures forced Russian crude to trade at wide discounts in some periods — a deliberate economic squeeze with geopolitical intent.

    • Tariffs and restrictions on clean-energy inputs: Democracies have placed tariffs and trade restrictions on solar panels, polysilicon and other components (often citing unfair subsidies or forced labor). While sometimes framed as industrial policy, these measures can have diplomatic overtones — they affect partners’ energy transitions and can be used to push on nontrade issues. Recent tariff actions in the U.S. on Chinese solar goods are a live example. 

    • Export approvals and LNG politics: Governments that control approvals and export infrastructure can delay or favour shipments to allies; domestic political decisions over export permits can therefore have geopolitical impact. In 2025 there were high-profile moves and legislative pushes affecting LNG export approvals and regulation — showing how export policy itself becomes leverage. 

    3) How these measures differ from plain tariffs

    A traditional tariff is a revenue/tariff tool. When used as political leverage, the policy set is broader and often combined: tariffs, embargoes, price caps, licensing rules, extra customs checks, pre-authorization for imports, or conditional approvals for exports (especially energy infrastructure and strategic minerals). The objective shifts from pure protectionism to coercion, signaling, or constraint — for example, limiting a rival’s hard-currency receipts or making a supplier’s trade uneconomic without breaking global markets outright. 

    4) Who benefits and who suffers

    • Short-term beneficiaries: Geopolitical allies who diversify away from a pressured supplier, and domestic industries that receive protection or investment (e.g., domestic solar manufacturers that benefit from import tariffs). Countries or firms that capture redirected trade flows (LNG exporters, alternative oil suppliers) can also gain. 

    • Harmed parties:

    • Import-dependent consumers (households and energy-intensive industries) pay higher prices and face volatile supplies;

    • Countries targeted by measures lose revenue and face economic pain;

    • Global supply chains—particularly those in clean-energy manufacturing that rely on cross-border inputs—face fragmentation. 

    • • Collateral damage: Third countries and developing economies can be hurt indirectly via higher commodity prices, redirected flows, or lost export markets — creating political backlash and new alignments.

    5) How this interacts with the energy transition

    There’s a paradox: geopolitical pressure can accelerate diversification away from a coercive supplier (pushing renewables and LNG deals), but trade measures on clean-energy components (tariffs, quotas) can slow the transition by raising costs and disrupting deployment. So policies meant to increase security can sometimes work at cross-purposes to climate goals unless carefully calibrated. 

    6) Risks and unintended consequences

    • Market circumvention and price distortions. Price caps or embargoes often lead to discounts, alternative trading channels, or circumvention — blunting intended effects while creating market inefficiencies. Studies of the oil price cap show it has worked imperfectly and needs tightening to fully cut revenue flows. 

    • Supply-chain fragmentation and higher long-term costs. Strategic decoupling raises the cost of duplicated capacity (multiple fabs, LNG terminals, green-tech factories). That increases capex needs and can slow global growth if widespread.

    • Escalation into broader trade conflicts. Use of tariffs and energy restrictions can provoke retaliation beyond energy, spilling into tariffs on other sectors and harming global trade and investment. Historical tariff spirals show how escalation magnifies harm.

    • Political blowback in energy-poor countries. Where energy is scarce or expensive, measures that constrict supply can spark domestic unrest and realign foreign policy choices.

    7) What policy makers and businesses can do (practical choices)

    • Diversify supplies — short-term (LNG purchases, alternative oil sources) and long-term (renewables + storage).

    • Strengthen market rules and enforcement — tighten price-cap enforcement, close loopholes, and coordinate allies to prevent circumvention.

    • Protect clean-tech supply chains through targeted assistance rather than blanket tariffs — fund capacity-building in trusted partners so domestic security and climate goals align.

    • Invest in resilience — buffer stocks, flexible contract terms, and domestic infrastructure to reduce single-supplier dependence.

    8) Bottom-line: a human takeaway

    Governments are using trade levers around energy more consciously as an element of geopolitical strategy. That can be effective at applying pressure (for example, the mix of embargoes and price caps aimed at Russian oil materially changed pricing and revenues), but it also raises real economic risks: higher energy costs, fragmented supply chains, and a slower — or more expensive — clean-energy transition in some places. The big challenge for democracies is balancing strategic goals (containment, deterrence, security) with economic and climate objectives — and doing so in ways that limit harm to vulnerable countries and avoid unnecessary protectionism.

    If you want, I can:

    • Turn this into a one-page briefing slide with the top 3 examples, 3 risks, and 3 policy recommendations (ready for a meeting), or

    • Pull the most recent timelines and data on EU gas phase-out, the G7 oil cap enforcement, and U.S. solar tariffs so you can cite them directly.

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Answer
daniyasiddiquiImage-Explained
Asked: 08/10/2025In: News

Could new tariff measures slow down the global economic recovery in 2026?

the global economic recovery in 2026

economic recoveryglobal tradeinflationsupply chain disruptionstariffstrade policy
  1. daniyasiddiqui
    daniyasiddiqui Image-Explained
    Added an answer on 08/10/2025 at 3:00 pm

    How tariffs slow an economy (the simple mechanics) Higher import prices → weaker demand. Tariffs raise the cost of imported inputs and final goods. Companies either pay more for raw materials and intermediate goods (squeezing margins) or pass costs to consumers (reducing purchasing power). That combRead more

    How tariffs slow an economy (the simple mechanics)

    • Higher import prices → weaker demand. Tariffs raise the cost of imported inputs and final goods. Companies either pay more for raw materials and intermediate goods (squeezing margins) or pass costs to consumers (reducing purchasing power). That combination cools consumption and industrial activity.
    • Supply-chain disruption & re-shoring costs. Firms respond by reconfiguring supply chains (finding new suppliers, on-shoring, or stockpiling). Those adjustments are expensive and slow to pay off — in the near term they reduce investment and efficiency.
    • Investment chill from uncertainty. The prospect of escalating or unpredictable tariffs raises policy uncertainty. Businesses delay or scale back capital projects until trade policy stabilizes.
    • Retaliation and cascading barriers. Tariffs often trigger retaliatory measures. When many countries raise barriers, global trade volumes fall, which hits export-dependent economies and global value chains.

    These channels are exactly why multilateral agencies and market analysts say tariffs and trade restrictions can lower growth even when headline GDP still looks “resilient.”

    What the major institutions say (quick reality check)

    • The IMF’s recent updates show modest global growth in 2025–26 but flag tariff-driven uncertainty as a downside risk. Their 2025 WEO update projects global growth near 3.0% for 2025 and 3.1% for 2026 while explicitly warning that higher tariffs and policy uncertainty are important risks.
    • The OECD and several analysts argue the full force of recent tariff shocks hasn’t been felt yet — and they project growth weakening in 2026 as front-loading of imports ahead of tariffs wears off and higher effective tariff rates bite. The OECD’s interim outlook expects a slowdown in 2026 tied to these effects.
    • The WTO and World Bank also report trade-volume weakness and flag trade barriers as a material drag on trade growth — which feeds into lower global GDP.
    • These institutions are not predicting a single global recession just from tariffs, but they do expect measurable downward pressure on trade and investment, which slows recovery momentum.

    How big could the hit be? (it depends — but here are the drivers)

    Magnitude depends on policy breadth and persistence. Small, narrow tariffs on a few goods will only nudge growth; widespread, high tariffs across major economies (or sustained tit-for-tat escalation) can shave sizable tenths of a percentage point off global growth. Analysts point out that front-loading (firms buying ahead of tariff implementation) can temporarily buoy trade, but once that fades the negative effects appear.

    Timing matters. If tariffs are announced and then held in place for years, businesses will invest in duplicative capacity and the re-allocation costs accumulate. That’s the scenario most likely to slow growth into 2026.
    Bloomberg

    Who loses most

    • Export-dependent emerging markets (small open economies and commodity exporters) suffer when demand falls in advanced markets or when their inputs become more expensive.
    • Complex-value-chain industries (autos, electronics, semiconductors) where components cross borders many times are particularly vulnerable to tariffs and retaliations.
    • Low-income countries feel second-round effects: slower global growth → weaker commodity prices → less fiscal space and elevated debt stress. The World Bank notes growth downgrades when trade restrictions rise.
      World Bank

    Knock-on effects for inflation and policy

    Tariffs can be inflationary (higher import prices), which puts central banks in a bind: tighten to fight inflation and risk choking off growth, or tolerate higher inflation and risk de-anchored expectations. Either choice complicates recovery and could reduce real incomes and investment. Several policymakers have voiced concern that the mix of tariffs plus high policy uncertainty creates a stagflation-like risk in vulnerable economies.

    Offsets and reasons the slowdown may be limited

    • Front-loading and substitution. Businesses sometimes build inventories or substitute suppliers — that mutes immediate trade declines. IMF and other agencies note that some front-loading actually supported 2024–2025 trade figures, but this effect runs out.
    • Fiscal and monetary support. Governments can cushion the blow with targeted fiscal spending, subsidies, or trade facilitation. But those measures have limits (fiscal space, political will) and can’t fully replace cross-border trade flows.
    • Near-term resilience in consumption. Private sectors in some major economies have remained resilient, which helps growth hold up even as trade cools. But resilience erodes if tariffs persist and investment dries up.
      Reuters

    Practical indicators to watch in 2025–26 (what will tell us the story)

    • Trade volumes (WTO merchandise trade stats): a sustained drop signals broad tariff damage.
    • Business investment and capex plans: continued delays or cancellations point to a deeper investment chill.
    • Manufacturing PMI and global supply-chain bottlenecks: weakening PMIs across manufacturing hubs show cascading effects.
    • Inflation vs. growth trade-offs and central bank minutes: whether monetary policy tightens in response to tariff-driven inflation.
    • Announcements of trade retaliation or new tariff rounds: escalation increases downside risk; diplomatic rollbacks reduce it.

    Bottom line — a human takeaway

    Tariffs won’t necessarily cause an immediate, synchronized global recession in 2026, but they are a clear and credible downside risk to the fragile recovery. They act like a slow-moving tax on trade: higher costs, muddled investment decisions, and weaker demand — combined effects that shave growth and worsen inequalities between export-dependent and more closed economies. Policymakers can limit the damage with diplomacy, targeted support for affected industries and countries, and clear timelines — but if protectionism persists or escalates, the global recovery will be noticeably weaker in 2026 than it might otherwise have been.

    If you want, I can:

    • Turn this into a one-page slide for a briefing (executive summary + 3 charts of trade volume, investment plans, and projected growth scenarios); or
    • Pull the most recent WTO/OECD/IMF bullets (with dates and one-sentence takeaways) to cite in a short memo.

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Answer
daniyasiddiquiImage-Explained
Asked: 08/10/2025In: News

Will semiconductor export restrictions and tariffs slow global chip production?

l semiconductor export restrictions a ...

chip productionexport restrictionsglobal supply chaintariffstech geopoliticsus-china trade war
  1. daniyasiddiqui
    daniyasiddiqui Image-Explained
    Added an answer on 08/10/2025 at 2:38 pm

    1) What rules and measures are we talking about? Since 2022 a series of increasingly granular export controls (primarily from the U.S., coordinated with allies) have restricted the sale of advanced chips, high-end GPUs, and the most sensitive semiconductor manufacturing equipment to certain ChineseRead more

    1) What rules and measures are we talking about?

    Since 2022 a series of increasingly granular export controls (primarily from the U.S., coordinated with allies) have restricted the sale of advanced chips, high-end GPUs, and the most sensitive semiconductor manufacturing equipment to certain Chinese entities. Separately, tariffs, proposed Section-232 investigations, and country-specific trade measures have added further uncertainty and possible extra costs on chip flows. These are not a single law but a suite of restrictions and trade policies that target technology transfer and protect “critical” supply chains.

    2) Short-term effects: immediate slowdowns and frictions

    • Logistics and equipment delays. Restrictions on exporting advanced tools (lithography, etchers, deposition systems) to particular customers mean production ramps in those regions slow or are delayed — factories can’t install the gear they need on the original timetable. ASML and other toolmakers have publicly said export curbs have already affected customer investment and ordering patterns.

    • Revenue and investment hits for vendors. Chip-equipment companies that rely on large markets (notably China) have flagged meaningful near-term revenue impacts because licensing, approvals, or outright bans block sales. For example, Applied Materials warned of a significant revenue hit tied to broader export curbs. That reduces supplier cashflows and can slow downstream factory builds.

    • Reallocation, not disappearance, of production. When a supplier can’t sell certain tools into one market, demand tends to shift — either to allowed customers elsewhere or to less advanced (mature-node) production. That causes short-term supply squeezes for the sophisticates (leading nodes) and excess capacity for mature nodes. Studies of prior export controls show trade in restricted semiconductor inputs falls sharply to targeted destinations and is redirected elsewhere.

    3) Medium-term effects: supply-chain restructuring and regionalization

    • Regional buildouts accelerate. The combination of export controls and subsidy programs (e.g., CHIPS-era style incentives) pushes governments and companies to build fabs closer to “trusted” markets (U.S., EU, Japan, South Korea, Taiwan). That reduces some dependencies but takes years and huge capital. Analysts expect the industry to become more regionally clustered, increasing resilience in those regions but fragmenting the overall ecosystem.

    • Technology gaps widen. Advanced tooling and node expertise remain concentrated in a few firms/countries. If a market is cut off from the latest lithography or packaging tech, it can pivot to mature nodes or invest in indigenous alternatives — but catching up for the most advanced logic and packaging takes long lead times. Export controls make that catch-up harder and slower.

    • Cost inflation for some products. Tariffs and licensing costs raise the price of imported chips and equipment. Firms pass those costs to customers or absorb margins — both outcomes increase overall industry costs and can slow new fab projects that are margin-sensitive. Analyses of possible tariffs show that large levies would hurt both importing countries and domestic industries.

    4) Who is hit hardest — and who may benefit?

    • Hardest hit: firmies that depend on exports of advanced chips or on imports of the most advanced equipment but lack local suppliers or capital to substitute fast (certain Chinese firms in the short-/medium term). Also smaller equipment vendors that relied on large volumes to China.

    • Which benefit: regions getting investment (U.S., Korea, Taiwan, parts of Europe, Japan) may gain long-term manufacturing footprint and jobs. Domestic equipment suppliers in those regions also capture more share. But beneficiaries pay higher near-term costs for localized supply chains.

    5) Unintended and systemic consequences

    • Loopholes and circumvention. Investigations and journalism show gaps in enforcement — parts and subsections of toolchains can be rerouted or bought through third parties, which undermines controls and complicates global trade. That means restrictions slow production but don’t fully stop technology diffusion unless enforcement is airtight.

    • Innovation incentive shifts. Firms in restricted markets pour more resources into domestic R&D to circumvent limits, which can create an eventual parallel ecosystem. That raises the political stakes — long term tech decoupling becomes more likely, with higher geopolitical risk and duplication of capital investment.

    • Market volatility. Restrictions and tariff talk create policy uncertainty. Equipment makers delay purchases; chipmakers stagger capacity expansion. That leads to cycles of under- and over-supply in certain segments (e.g., HBM, GPUs for AI vs. mature-node commodity chips).

    6) Net effect on global chip production: slowed, reallocated, and more costly — but not uniformly shutdown

    Putting it all together: export controls and tariffs are slowing specific high-end flows, reducing near-term output in affected nodes/capacities tied to equipment access and investment delays. However, production doesn’t simply stop — it reallocates (to regions still able to import tools or to mature nodes), and market forces plus massive government subsidies mean the industry is also investing more to rebuild capacity in sanctioned/secure regions. This mix creates both supply-side drag and a major reorganization of where and how chips are made.

    7) What to watch next (practical signals)

    Equipment vendor guidance (quarterly reports from ASML, Applied Materials, Tokyo Electron) — they reveal how restrictions are changing orders and revenue.

    Fab-building announcements and subsidies (new CHIPS-style grants, EU IPCEI actions, Japan/Korea incentives) — fast increases point to regionalization.

    Wider allied coordination or WTO challenges — more coordination increases the policy’s bite; legal challenges or rollback reduce it.

    Evidence of circumvention (investigative reports, committee findings) — if persistent, they blunt the impact.

    8) Bottom line — a human takeaway

    If you’re a policymaker: expect tradeoffs. Controls can protect national security and slow adversary capability growth, but they raise costs and fragment markets — so pair them with diplomacy, targeted support for allies, and enforcement to avoid wholesale market disruption.

    If you’re a business leader in semiconductors or a related supply chain: plan for longer lead times, higher capital intensity, and more complex compliance. Consider diversifying suppliers, regionalizing critical inputs, and accelerating partnerships with trusted equipment vendors.

    If you’re a citizen or investor: don’t expect an immediate supply collapse of all chips, but do expect higher costs in specific high-end segments, more geopolitically driven investment, and an industrial landscape that looks markedly different in five years.

    If you want, I can:
    • Turn this into a one-page executive summary for a board deck; or
    • Pull the latest quarterly statements from ASML / Applied Materials / TSMC and summarize the most relevant lines about export-control impact (I can fetch and cite them).

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Answer
daniyasiddiquiImage-Explained
Asked: 08/10/2025In: News

Are developing nations facing unfair disadvantages due to climate-linked tariffs?

nations facing unfair disadvantages

carbon leakageclimate justiceeconomic disadvantagesglobal tradegreen technologytrade barriers
  1. daniyasiddiqui
    daniyasiddiqui Image-Explained
    Added an answer on 08/10/2025 at 2:25 pm

     A Widening Gap Between Economic Reality and Climate Objectives At their essence, climate-related tariffs are designed to incentivize industries everywhere to reduce carbon emissions. Richer countries — especially in the EU and sections of North America — contend that the tariffs equalize the playinRead more

     A Widening Gap Between Economic Reality and Climate Objectives

    At their essence, climate-related tariffs are designed to incentivize industries everywhere to reduce carbon emissions. Richer countries — especially in the EU and sections of North America — contend that the tariffs equalize the playing field. Their industries already bear high carbon prices within local emission trading regimes or carbon taxes, so imports from less-regulated countries shouldn’t have a competitive edge.

    Yet, this strategy misses one fundamental fact: poor countries lack the same financial, technological, or infrastructural ability to go green rapidly. Much of their economy remains fossil fuel-dependent, not by design but by default. When tariffs punish their exports for being “too carbon intensive,” they essentially punish poverty, not pollution.

     How Climate Tariffs Punish Developing Economies

    Export Competitiveness Declines:

    These nations, including India, Indonesia, South Africa, and Vietnam, ship vast amounts of steel, cement, aluminum, and fertilizers — sectors now in the crosshairs of CBAM and other carbon-tied tariffs. When these tariffs are imposed, their products become pricier in European markets, lowering demand and damaging industrial exports.

    Limited Access to Green Technology:

    Richer countries have decades worth of investments in green technologies — from low-emission factories to renewable energy networks. Poor countries can’t often afford them or lack the infrastructure needed to utilize them. So when wealthy nations call for “cleaner exports,” it’s essentially asking someone to run a marathon barefoot.

    Increased Compliance Costs:

    Most small and medium-sized traders in the Global South are now confronted with sophisticated reporting requirements for computing and certifying their carbon profiles. This involves data systems, audits, and consultants — costs that are prohibitive and typically not available in less industrialized economies.

    Risk of “Green Protectionism”:

    Critics say that climate-related tariffs are partially a type of “green protectionism” — policies that seem green but do more to shelter native industries from global competition. For instance, European or American manufacturers gain when foreign goods attract additional tariffs, even if it is coming from poorer countries struggling to adopt new green standards.

     The Moral and Historical Argument

    There’s also profound ethical tension involved. Developing countries note that wealthy nations are to blame for most past greenhouse gas emissions. Europe and North America’s industrial revolutions fueled centuries of development — but generated most of the climate harm. Now that the globe is transitioning to decarbonization, developing countries are being asked to foot the bill for the cleanup while they’re still ascending the economic escalator.

    This creates a compelling question:

    Is it equitable for the Global North to ask for low-carbon products from the Global South if they constructed their own wealth on high-carbon development?

    Opportunities Secreted in the Challenge

    • In spite of the aggravations, there are some developing countries attempting to turn the challenge into an opportunity.
    • India and Brazil are heavily investing in green manufacturing and renewable energy, positioning themselves to be leaders in sustainable exports in the future.
    • Africa’s AfCFTA (African Continental Free Trade Area) seeks to establish regional green value chains, lessening reliance on high-carbon imports.
    • Certain countries are forging “green financing” agreements — receiving funding from wealthier nations or multilateral institutions to upgrade their industries in return for emissions cuts.

    If these collaborations expand, climate-related tariffs may even

    The Path Forward — Cooperation, Not Coercion

    • tually spur global green growth instead of increasing inequality.

    The answer, in the view of most commentators, isn’t to abandon climate tariffs altogether — it’s to make them more equitable. That involves:

    • Giving poorer economies financial and technological assistance to decarbonize.
    • Granting transition time or exemptions to poorer economies.
    • Providing that carbon pricing mechanisms aren’t used as instruments of economic imperialism.
    • Facilitating joint carbon standards through global organizations such as the WTO or the UNFCCC.

    It is only through collaboration that climate policy can be a instrument of mutual advancement, and not penalty.

     In Brief

    Yes — several developing countries are being disproportionately disadvantaged by climate-related tariffs today. The policies, as well-meaning as they are, threaten to expand the global disparity chasm unless accompanied by supporting mechanisms that value differentiated capacities and past obligations.

    Climate action can never be one-size-fits-all. For it to be really just, it has to enable all countries — developed and developing alike — to join the green transition without being left behind economically.

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Answer
daniyasiddiquiImage-Explained
Asked: 08/10/2025In: News

How are the EU’s Carbon Border Adjustment Mechanism (CBAM) tariffs affecting global exporters?

  31 the EU’s Carbon Bord ...

carbon leakagecarbon tariffsclimate policyglobal exportersglobal tradetrade barriers
  1. daniyasiddiqui
    daniyasiddiqui Image-Explained
    Added an answer on 08/10/2025 at 2:16 pm

    What CBAM Actually Does The CBAM puts a price on carbon for certain imported goods — steel, cement, aluminum, fertilizers, hydrogen, and electricity — based on how much CO₂ is emitted during production. Essentially, if their home country has less stringent carbon regulations, they will have to pay aRead more

    What CBAM Actually Does

    The CBAM puts a price on carbon for certain imported goods — steel, cement, aluminum, fertilizers, hydrogen, and electricity — based on how much CO₂ is emitted during production. Essentially, if their home country has less stringent carbon regulations, they will have to pay a tariff to send it into the EU, leveling the playing field for European producers who already bear the cost of theirs through the EU Emissions Trading System (ETS).

    For European policymakers, it’s a matter of preventing “carbon leakage” — the possibility that companies will relocate to sites with lower climate policies in order to maintain their cost of production. The EU doesn’t want to cause just a relocation of emissions on a global level but a shift towards greener production.

    Global Exporters’ Impact

    Global exporters, especially those from emerging and energy-dependent economies, have faced pressure and opportunity from CBAM.

    Increased Production Costs:

    Exporters from countries like China, India, Turkey, and Russia are finding that exporting carbon-intensive goods to the EU is now expensive. Companies producing steel or cement based on coal-fired electricity, for example, are facing cost hikes led by tariffs, reducing their competitiveness in the European market.

    Pressure To Go Green:

    On the negative side, CBAM is pushing industries around the world to rethink how they produce goods. Some exporters are already investing in cleaner technology — renewable energy, low-carbon furnaces, and carbon capture gear — not just to meet EU regulations but to stay competitive on the world market. It’s acting as an galvanizing force for greener industrial modernization.

    Administrative and Reporting Burden:

    Starting from the transition phase (2023–2025), the exporters need to submit emissions information regarding their product, even before they pay duties. This has been challenging for small companies that lack the technical expertise to correctly establish their carbon footprint. The EU’s requirements for transparency and verification are strict and typically costly to fulfill.

    Trade Tensions and Equity Concerns:

    Most developing countries respond that CBAM is a “green protectionist” instrument — a vehicle to shield European industries behind the guise of climate policy. They worry it would unfairly punish nations that are still relying on fossil fuels for growth, charging their exports and slowing economic progress. CBAM has sparked disputes over whether it violates the ethos of free trade at WTO and G20 meetings.

    Ripple Effects Around the World

    CBAM is not only affecting exports to Europe; it’s sending ripples around the world. Other big economies — the U.S., Canada, and Japan — are considering carbon border taxes of their own. The start of a new “carbon accountability era” in trade begins here, with sustainability no longer a virtue but a competitive advantage.

    For multi-national corporations, the shift is about redesigning supply chains, tracking emissions more vigorously, and linking up with more sustainable suppliers. Meanwhile, nations that commit to renewable energy infrastructure early will likely gain a strategic advantage in future trade agreements.

    The Balancing Act Ahead

    In the end, CBAM is a manifestation of the tension between economic fairness and environmental necessity. Though it is beneficial to the EU to accelerate beyond its Green Deal aspirations and push the world towards emission cuts, it also highlights the worldwide split on climate readiness. The coming years will answer whether developing economies can access funds and technology to green their industries, or whether CBAM widens the gap between the Global North and South.

     In Short

    The EU’s Carbon Border Adjustment Mechanism is transforming the global business climate by linking carbon responsibility to market access. It’s not just a tariff — it’s a signal that the world’s biggest trading bloc is prepared to bring real economic heft to the climate cause. For exporters everywhere, transformation is no longer optional; it’s the new cost of doing business in a decarbonizing world.

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mohdanasMost Helpful
Asked: 07/10/2025In: News

Will India adopt biometric authentication for UPI payments starting October 8?

UPI payments starting October 8

aadhaarbiometricauthenticationdigitalpaymentsindiafinancialinclusionpaymentsecurityupi
  1. mohdanas
    mohdanas Most Helpful
    Added an answer on 07/10/2025 at 4:30 pm

    What's Changing and Why It Matters The National Payments Corporation of India (NPCI), the institution running UPI, has collaborated with banks, fintechs, and the Unique Identification Authority of India (UIDAI) to roll out Aadhaar-based biometrics in payment authentication. This implies that users wRead more

    What’s Changing and Why It Matters

    The National Payments Corporation of India (NPCI), the institution running UPI, has collaborated with banks, fintechs, and the Unique Identification Authority of India (UIDAI) to roll out Aadhaar-based biometrics in payment authentication. This implies that users will no longer have to type in a 4- or 6-digit PIN once they input the amount but can simply authenticate payments by their fingerprint or face scan on supported devices.

    The objective is to simplify and make payments more secure, particularly in the wake of increasing digital frauds and phishing activities. By linking transactions with biometric identity directly, the system includes an additional layer of authentication that is far more difficult to forge or steal.

     How It Works

    • For Aadhaar-linked accounts: Biometrics (finger or face data) of users will be compared to Aadhaar records for authentication.
    • For smartphones with inbuilt biometric sensors: Face ID, fingerprint readers, or iris scanners can be employed for fast authentication.
    • For traders: Small traders and shopkeepers will be able to utilize fingerprint terminals or face recognition cameras to receive instant payments from consumers.

    This system will initially deploy in pilot mode for targeted users and banks before countrywide rollout.

    Advantages for Users and Businesses

    Quicker Transactions:

    No typing and recalling a PIN — just tap and leave. This will accelerate digital payments, particularly for small-ticket transactions.

    Increased Security:

    Because biometric information is specific to an individual, the risk of unauthorized transactions or fraud significantly decreases.

    Inclusion of Finance:

    Millions of new digital users, particularly in rural India, might find biometrics more convenient than memorizing lengthy PINs.

    UPI Support for Growth:

    As UPI has been crossing over 14 billion transactions a month, India’s payments system requires solutions that scale securely and at scale.

    Privacy and Security Issues

    While the shift is being hailed as a leap to the future, it has also generated controversy regarding data storage and privacy. The NPCI and UIDAI are being advised by experts to ensure:

    • Biometric information is never locally stored on devices or servers.
    • Transmissions are end-to-end encrypted.
    • Users have clear consent and control over opting in or out of biometric-based authentication.

    The government has stated that no biometric data will be stored by payment apps or banks, and all matching will be done securely through UIDAI’s Aadhaar system.

     A Step Toward a “Password-Free” Future

    This step fits India’s larger vision of a password-less, frictions-less payment system. With UPI now being sold overseas to nations such as Singapore, UAE, and France, biometric UPI may well become the global model for digital identity-linked payments.

    In brief, from October 8, your face or fingerprint may become your payment key — making India one of the first nations in the world to combine national biometric identity with a real-time payment system on this scale.

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mohdanasMost Helpful
Asked: 07/10/2025In: Technology

What role does quantum computing play in the future of AI?

quantum computing play in the future ...

aiandscienceaioptimizationfutureofaiquantumaiquantumcomputingquantummachinelearning
  1. mohdanas
    mohdanas Most Helpful
    Added an answer on 07/10/2025 at 4:02 pm

     The Big Idea: Why Quantum + AI Matters Quantum computing, at its core, doesn't merely make computers faster — it alters what they calculate. Rather than bits (0 or 1), quantum computers calculate qubits that are both 0 and 1 with superposition. They can even exist in entanglement, i.e., the state oRead more

     The Big Idea: Why Quantum + AI Matters

    • Quantum computing, at its core, doesn’t merely make computers faster — it alters what they calculate.
    • Rather than bits (0 or 1), quantum computers calculate qubits that are both 0 and 1 with superposition.
    • They can even exist in entanglement, i.e., the state of a qubit is immediately correlated with the other regardless of distance.
    • That is, quantum computers can calculate vast combinations of possibilities simultaneously — not individually in sequence, but simultaneously.
    • And then layer that on top of AI — and which excels at data, pattern recognition, and deep optimisations.

    That’s layering AI on turbo-charged brain power for the potential to look at billions of solutions simultaneously.

    The Promise: AI Supercharged by Quantum Computing

    On regular computers, even top AI models are constrained — data bottlenecks, slow training, or limited compute resources.

    Quantum computers can break those barriers. Here’s how:

    1. Accelerating Training on AI Models

    Training the top large AI models — like GPT-5 or Gemini — would take thousands of GPUs, terawatts of power, and weeks of compute time.
    Quantum computers would shorten that timeframe by orders of magnitude.

    Pursuing tens of thousands of options simultaneously, a quantum-enhanced neural net would achieve optimal patterns tens of thousands times more quickly than conventional systems — being educated millions of times quicker on certain issues.

    2. Optimization of Intelligence

    It is difficult for AI to optimize problems — such as sending hundreds of delivery trucks in an economic manner or forecasting global market patterns.
    Quantum algorithms (such as Quantum Approximate Optimization Algorithm, or QAOA) do the same.

    AI and quantum can look out over millions of possibilities simultaneously and burp out very beautiful solutions to logistics, finance, and climate modeling.

    3. Patterns at a Deeper Level

    Quantum computers are able to search high-dimensional spaces of data to which the classical systems are barely beginning to make an entrance.

    This opens the doors to more accurate predictions in:

    • Genomic medicine (drug-target interactions)
    • Material science (new compound discovery)
    • Cybersecurity (anomaly and threat detection)

    In the real world, AI no longer simply gets faster — but really deeper and smarter.

    • The Idea of “Quantum Machine Learning” (QML)

    This is where the magic begins: Quantum Machine Learning — a combination of quantum algorithms and ordinary AI.

    In short, QML is:

    Applying quantum mechanics to process, store, and analyze data in ways unavailable to ordinary computers.

    Here’s what that might make possible

    • Quantum data representation: Data in qubits, exposing profound relationships in classical algorithms.
    • Quantum neural networks (QNNs): Neural nets composed of qubits, remembering challenging patterns with orders of magnitude less parameters.
    • Quantum reinforcement learning: Smarter and faster decisions by agents with fewer experiments — best for robots or real-time applications.
    • These are no longer science fiction: IBM, Google, IonQ, and Xanadu already have early prototypes running.

    Impact on the Real World (Emerging Today)

    1. Drug Discovery & Healthcare

    Quantum-AI hybrids are utilized to simulate molecular interaction at the atomic level.

    Rather than spending months sifting through chemical compounds in the thousands manually, quantum AI is able to calculate which molecules will potentially be able to combat disease — cutting R&D from years to just months.

    Pharmaceutical giants and startups are competing to employ these machines to combat cancer, create vaccines, and model genes.

    2. Risk Management &Financial

    markets are a tower of randomness — billions of variables which are interdependent and update every second.

    Quantum AI can compute these variables in parallel to reduce portfolios, forecast volatility, and assign risk numbers outside human or classical computing.
    Pilot quantum-advanced simulations of risk already are underway at JPMorgan Chase and Goldman Sachs, among others.

     3. Climate Modeling & Energy Optimization

    It takes ultra-high-level equations to be able to forecast climate change — temperature, humidity, air particles, ocean currents, etc.

    Quantum-AI computers can compute one-step correlations, perhaps even construct real-time world climate models.

    They’ll even help us develop new battery technologies or fusion pathways to clean energy.

    4. Cybersecurity

    While quantum computers will someday likely break conventional encryption, quantum-AI machines would also be capable of producing unbreakable security using quantum key distribution and pattern-based anomaly detection — a quantum arms race between hackers and quantum defenders.

    The Challenges: Why We’re Not There Yet

    Despite the hype, quantum computing is still experimental.

    The biggest hurdles include:

    • Hardware instability (Decoherence): Qubits are fragile — they lose information when disturbed by noise, temperature, or vibration.
    • Scalability: Most quantum machines today have fewer than 500–1000 stable qubits; useful AI applications may need millions.
    • Cost and accessibility: Quantum hardware remains expensive and limited to research labs.
    • Algorithm maturity: We’re still developing practical, noise-resistant quantum algorithms for real-world use.

    Thus, while quantum AI is not leapfrogging GPT-5 right now, it’s becoming the foundation of the next game-changer — models that would obsolete GPT-5 in ten years.

    State of Affairs (2025)

    State of affairs in 2025 is observing:

    • Quantum AI partnerships: Microsoft Azure Quantum, IBM Quantum, and Google’s Quantum AI teams are collaborating with AI research labs to experiment with hybrid environments.
    • Government investment: China, India, U.S., and EU all initiated national quantum programs to become technology leaders.
    • New startup development speed: D-Wave, Rigetti, and SandboxAQ companies develop commercial quantum-AI platforms for defense, pharma, and logistics.

    No longer science fiction — industrial sprint forward.

    The Future: Quantum AI-based “Thinking Engine”

    The above is to be rememberedWithin the coming 10–15 years, AI will not only do some number crunching — it may even create life itself.

    A quantum-AI combination can:

    • Predict building an ecosystem molecule by molecule,
    • Create new physics rules to end the energy greed,

    Even simulate human feelings in hyper-realistic stimulation for virtual empathy training or therapy.

    Such a system — or QAI (Quantum Artificial Intelligence) — might be the start of Artificial General Intelligence (AGI) since it is able to think across and between domains with imagination, abstraction, and self-awareness.

     The Humanized Takeaway

    • Where AI has infused speed into virtually everything, quantum computing will infuse depth.
    • While AI presently looks back, quantum AI someday will find patterns unseen — patterns of randomness in atoms, economies, or in the human brain.

    With a caveat:

    • There is such power, there is irresistible responsibility.
    • Quantum AI will heal medicine, energy, and science — or destroy economies, privacy, and even war.

    So the future is not faster machines — it’s smarter people who can tame them.

    In short:

    • Quantum computing is the next great amplifier of intelligence — the moment when AI stops just “thinking fast” and starts “thinking deep.”
    • It’s not here yet, but it’s coming — quietly, powerfully, and inevitably — shaping a future where computation and consciousness may finally meet.
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mohdanasMost Helpful
Asked: 07/10/2025In: Technology

How are businesses balancing AI automation with human judgment?

businesses balancing AI automation

aiandhumanjudgmentaiethicsinbusinessaiinbusinessaiworkforcebalancehumanintheloopresponsibleai
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mohdanasMost Helpful
Asked: 07/10/2025In: Technology

How are schools and universities adapting to AI use among students?

schools and universities adapting to

aiandacademicintegrityaiandstudentsaiassistedlearningaiineducationaiintheclassroomfutureoflearning
  1. mohdanas
    mohdanas Most Helpful
    Added an answer on 07/10/2025 at 1:00 pm

    Shock Transformed into Strategy: The 'AI in Education' Journey Several years ago, when generative AI tools like ChatGPT, Gemini, and Claude first appeared, schools reacted with fear and prohibitions. Educators feared cheating, plagiarism, and students no longer being able to think for themselves. BuRead more

    Shock Transformed into Strategy: The ‘AI in Education’ Journey

    Several years ago, when generative AI tools like ChatGPT, Gemini, and Claude first appeared, schools reacted with fear and prohibitions. Educators feared cheating, plagiarism, and students no longer being able to think for themselves.

    But by 2025, that initial alarm had become practical adaptation.

    Teachers and educators realized something profound:

    You can’t prevent AI from learning — because AI is now part of the way we learn.

    So, instead of fighting, schools and colleges are teaching learners how to use AI responsibly — just like they taught them how to use calculators or the internet.

    New Pedagogy: From Memorization to Mastery

    AI has forced educators to rethink what they teach and why.

     1. Shift in Focus: From Facts to Thinking

    If AI can answer instantaneously, memorization is unnecessary.
    That’s why classrooms are changing to:

    • Critical thinking — learning how to ask, verify, and make sense of AI answers.
    • Problem framing — learning what to ask, not how to answer.
    • Ethical reasoning — discussing when it’s okay (or not) to seek AI help.

    Now, a student is not rewarded for writing the perfect essay so much as for how they have collaborated with AI to get there.

     2. “Prompt Literacy” is the Key Skill

    Where students once learned how to conduct research on the web, now they learn how to prompt — how to instruct AI with clarity, provide context, and check facts.
    Colleges have begun to teach courses in AI literacy and prompt engineering in an effort to have students think like they are working in collaboration, rather than being consumers.

    As an example, one assignment could present:

    Write an essay with an AI tool, but mark where it got it wrong or oversimplified ideas — and explain your edits.”

    • That shift moves AI from a timesaver to a thinking partner.

    The Classroom Itself Is Changing

    1. AI-Powered Teaching Assistants

    Artificial intelligence tools are being used more and more by most institutions as 24/7 study partners.

    They help clarify complex ideas, repeatedly test students interactively, or translate lectures into other languages.

    For instance:

    • ChatGPT-style bots integrated in study platforms answer questions in real time.
    • Gemini and Khanmigo (Khan Academy’s virtual tutor) walk students through mathematics or code problems step by step.
    • Language learners receive immediate pronunciation feedback through AI voice analysis.

    These AI helpers don’t take the place of teachers — they amplify their reach, providing individualized assistance to all students, at any time.

    2. Adaptive Learning Platforms

    Computer systems powered by AI now adapt coursework according to each student’s progress.

    If a student is having trouble with algebra but not with geometry, the AI slows down the pace, offers additional exercises, or even recommends video lessons.
    This flexible pacing ensures that no one gets left behind or becomes bored.

     3. Redesigning Assessments

    Because it’s so easy to create answers using AI, the majority of schools are dropping essay and exam testing.

    They’re moving to:

    • Oral debates and presentations
    • Solving problems in class

    AI-supported projects, where students have to explain how they used (and improved on) AI outputs.

    No longer is it “Did you use AI?” but “How did you use it wisely and creatively?”

    Creativity & Collaboration Take Center Stage

    • Teachers are discovering that when used intentionally, AI has the ability to spark creativity instead of extinguishing it.
    • Students using AI to generate visual sketches, which they then paint or design themselves.
    • Literature students review alternate endings or character perspectives created by AI — and then dissect the style of writing.
    • Engineering students prototype faster using generative 3D models.
    • AI becomes less of a crutch and more of a communal muse.

    As one prof put it:

    “AI doesn’t write for students — it helps them think about writing differently.”

    The Ethical Balancing Act

    Even with the adaptation, though, there are pains of growing up.

     Academic Integrity Concerns

    Other students use AI to avoid doing work, submitting essays or code written by AI as their own.

    Universities have reacted with:

    AI-detection software (though imperfect),
    Style-consistency plagiarism detectors, and
    Honor codes emphasizing honesty about using AI.

    Students are occasionally requested to state when and how AI helped on their work — the same way they would credit a source.

     Mental & Cognitive Impact

    Additionally, there is a dispute over whether dependency on AI can erode deep thinking and problem-solving skills.

    To overcome this, the majority of teachers alternated between AI-free and AI-aided lessons to ensure that students still acquired fundamental skills.

     Global Variations: Not All Classrooms Are Equal

    • Wealthier schools with the necessary digital capacity have adopted AI easily — from chatbots to analytics tools and smart grading.
    • But in poorer regions, poor connectivity and devices stifle adoption.
    • This has sparked controversy over the AI education gap — and international efforts are underway to offer open-source tools to all.
    • UNESCO and OECD, among other institutions, have issued AI ethics guidelines for education that advocate for equality, transparency, and cultural sensitivity.

    The Future of Learning — Humans and AI, Together

    By 2025, the education sector is realizing that AI is not a substitute for instructors — it’s a force multiplier.

    The most successful classrooms are where:

    • AI does the personalization and automation,
    • and the instructors do the inspiration and mentoring.
    • Ahead to the next few years, we will witness:
    • AI-based mentorship platforms that track student progress year-over-year.
    • Virtual classrooms where global students collaborate using multilingual AI translation.

    And AI teaching assistants that help teachers prepare lessons, grade assignments, and efficiently coordinate student feedback.

     The Humanized Takeaway

    Learning in 2025 is at a turning point.

    • AI transformed education from one-size-fits-all to ever-evolving, customized, curiosity-driven, not conformity-driven.
    • Students are no longer passive recipients of information — they’re co-creators, learning with technology, not from it.
    • It’s not about replacing teachers — it’s about elevating them.
    • It’s not about stopping AI — it’s about directing how it’s used.
    • And it’s not about fearing the future — it’s about teaching the next generation how to build it smartly.

    Briefly: AI isn’t the end of education as we know it —
    it’s the beginning of education as it should be.

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