Sign Up

Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.

Have an account? Sign In


Have an account? Sign In Now

Sign In

Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.

Sign Up Here


Forgot Password?

Don't have account, Sign Up Here

Forgot Password

Lost your password? Please enter your email address. You will receive a link and will create a new password via email.


Have an account? Sign In Now

You must login to ask a question.


Forgot Password?

Need An Account, Sign Up Here

You must login to add post.


Forgot Password?

Need An Account, Sign Up Here
Sign InSign Up

Qaskme

Qaskme Logo Qaskme Logo

Qaskme Navigation

  • Home
  • Questions Feed
  • Communities
  • Blog
Search
Ask A Question

Mobile menu

Close
Ask A Question
  • Home
  • Questions Feed
  • Communities
  • Blog

Become Part of QaskMe - Share Knowledge and Express Yourself Today!

At QaskMe, we foster a community of shared knowledge, where curious minds, experts, and alternative viewpoints unite to ask questions, share insights, connect across various topics—from tech to lifestyle—and collaboratively enhance the credible space for others to learn and contribute.

Create A New Account
  • Recent Questions
  • Most Answered
  • Answers
  • Most Visited
  • Most Voted
  • No Answers
  • Recent Posts
  • Random
  • New Questions
  • Sticky Questions
  • Polls
  • Recent Questions With Time
  • Most Answered With Time
  • Answers With Time
  • Most Visited With Time
  • Most Voted With Time
  • Random With Time
  • Recent Posts With Time
  • Feed
  • Most Visited Posts
  • Favorite Questions
  • Answers You Might Like
  • Answers For You
  • Followed Questions With Time
  • Favorite Questions With Time
  • Answers You Might Like With Time
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.

    See less
      • 0
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
  • 0
  • 1
  • 51
  • 0
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.

    See less
      • 0
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
  • 0
  • 1
  • 70
  • 0
Answer
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.

    See less
      • 0
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
  • 0
  • 1
  • 52
  • 0
Answer
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.
    See less
      • 0
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
  • 0
  • 1
  • 66
  • 0
Answer
mohdanasMost Helpful
Asked: 07/10/2025In: Technology

How are businesses balancing AI automation with human judgment?

businesses balancing AI automation

aiandhumanjudgmentaiethicsinbusinessaiinbusinessaiworkforcebalancehumanintheloopresponsibleai
  • 0
  • 0
  • 39
  • 0
Answer
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.

    See less
      • 0
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
  • 0
  • 1
  • 62
  • 0
Answer
mohdanasMost Helpful
Asked: 07/10/2025In: Technology

Are AI tools replacing jobs or creating new categories of employment in 2025?

AI tools replacing jobs or creating n ...

aiintheworkplaceaijobtrends2025aiupskillingaiworkforcetransformationhumanaiteamwork
  1. mohdanas
    mohdanas Most Helpful
    Added an answer on 07/10/2025 at 12:02 pm

    The Big Picture: A Revolution of Roles, Not Just Jobs It's easy to imagine AI as a job killer — automation and redundancies are king in the headlines, promising the robots are on their way. But by 2025, it's nuanced and complex: AI is not just taking jobs, it's producing new and redefining entirelyRead more

    The Big Picture: A Revolution of Roles, Not Just Jobs

    It’s easy to imagine AI as a job killer — automation and redundancies are king in the headlines, promising the robots are on their way.

    But by 2025, it’s nuanced and complex: AI is not just taking jobs, it’s producing new and redefining entirely new types of work.

    Here’s the reality:

    • AI is automating routine, not human imagination.

    It’s removing the “how” of work from people’s plates so they can concentrate on the “why.”

    For example:

    • Customer service agents are moving from answering simple questions to dealing with AI-driven chatbots and emotionally complex situations.
    • Marketing pros aren’t taking time to tell a series of ad copy drafts; rather, they are relying on AI for writing and then concentrating on strategy and brand narratives.
    • Developers employ coding copilots to manage boilerplate code so that they may be free to focus on invention and architecture.
    • Artificial intelligence is not replacing human beings but redoing human input.

     The Jobs Being Transformed (Not Removed)

    1. Administrative and Support Jobs

    • Traditional calendar management, report generation, and data entry are all performed by AI secretaries such as Microsoft Copilot or Google Gemini for Workspace.

    But that doesn’t render admin staff obsolete — they’re AI workflow managers now, approving, refining, and contextualizing AI output.

    2. Creative Industries

    • Content writers, graphics designers, and video editors now utilize generative tools such as ChatGPT, Midjourney, or Runway to advance ideas, construct storyboards, or edit more quickly.

    Yes, lower-quality creative work has been automated — but there are new ones, including:

    • Prompt engineers
    • AI art directors
    • Narrative curators
    • Synthetic media editors

    Creativity is not lost but merely mixed with a combination of human taste and computer imagination.

    3. Technology & Development

    AI copilots of today are out there for computer programmers to serve as assistants to suggest, debug, and comment.

    But that eliminated programmers’ need — it’s borne an even stronger need.
    Programmers today have to learn to work with AI, understand output, and shape models into useful commodities.

    The development of AI integration specialists, ML operations managers, and data ethicists is a sign of the type of new jobs that are being developed.

    4. Healthcare & Education

    Physicians use multimodal AI technology to interpret scans, to summarize patient histories, and for diagnosis assistance. Educators use AI to personalize learning material.

    AI doesn’t substitute experts but is an amplifier which multiples human ability to accomplish more individuals with fewer mistakes and less exhaustion.

     New Job Titles Emerging in 2025

    AI hasn’t simply replaced work — it’s created totally new careers that didn’t exist a couple of years back:

    • AI Workflow Designer: Professionals who design the process through which human beings and AI tools collaborate.
    • Prompt & Context Engineer: Professionals who design proper, creative inputs to obtain good outcomes from AI systems.
    • AI Ethics and Risk Officer: New professional that guarantees transparency, fairness, and accountability in AI use.
    • Synthetic Data Specialist: Professionals responsible for producing synthetic sets of data for safe training or testing.
    • Artificial Intelligence Companion Developer: Developers of affective, conversational, and therapeutic AI companions.
    • Automation Maintenance Technicians: Blue-collar technicians who ensure AI-driven equipment and robots utilized in manufacturing and logistics are running.

    Briefly, the labor market is experiencing a “rebalancing” — as outdated, mundane work disappears and new hybrid human-AI occupations fill the gaps.

    The Displacement Reality — It’s Not All Uplift

    It would be unrealistic to brush off the downside.

    • Many employees — particularly administrative, call-centre, and fresh creative ones — were already feeling the bite of automation.
    • Small businesses employ AI software to cut costs, and occasionally on the orders of human work.

    It’s not a tech problem — it’s a culture challenge.

    Lacking adequate retraining packages, education change, and funding, too many employees stand in danger of being left behind as the digital economy continues its relentless stride.

    That is why governments and institutions are investing in “AI upskilling” programs to reskill, not replace, workers.

    The takeaway?

    • AI ain’t the bad guy — but complacency about reskilling might be.
    • The Human Edge — What Machines Still Can’t Do

    With ever more powerful AI, there are some ageless skills that it still can’t match:

    • Emotional intelligence
    • Moral judgment
    • Contextual knowledge
    • Empathy and moral reasoning
    • Human trust and bond

    These “remarkably human” skills — imagination, leadership, adaptability — will be cherished by companies in 2025 as priceless additions to AI capability.
    Therefore work will be instructed by machines but sense will still be instructed by humans.

    The Future of Work: Humans + AI, Not Humans vs. AI

    The AI and work narrative is not a replacement narrative — it is a reinvention narrative.

    We are moving toward a “centaur economy” — a future in which humans and AI work together, each contributing their particular strength.

    • AI handles volume, pattern, and accuracy.
    • Humans handle emotion, insight, and values.

    Surviving on this planet will be less about resisting AI and more about how to utilize it best.

    As another futurist simply put it:

    “Ai won’t steal your job — but someone working for ai might.”

     The Humanized Takeaway

    AI in 2025 is not just automating labor, it’s re-defining the very idea of working, creating, and contributing.

    The danger that people will lose their jobs to AI overlooks the bigger story — that work itself is being transformed as an even more creative, responsive, and networked endeavor than before.

    Whereas if the 2010s were the decade of automation and digitalization, the 2020s are the decade of co-creation with artificial intelligence.

    And within that collaboration is something very promising:

    The future of work is not man vs. machine —
    it’s about making humans more human, facilitated by machines that finally get us.

    See less
      • 0
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
  • 0
  • 1
  • 58
  • 0
Answer
Load More Questions

Sidebar

Ask A Question

Stats

  • Questions 406
  • Answers 393
  • Posts 4
  • Best Answers 21
  • Popular
  • Answers
  • Anonymous

    Bluestone IPO vs Kal

    • 5 Answers
  • mohdanas

    Are AI video generat

    • 3 Answers
  • Anonymous

    Which industries are

    • 3 Answers
  • mohdanas
    mohdanas added an answer 1) Ethics: what’s at stake when we plug AI into learning? a) Human-centered learning vs. outsourcing thinkingGenerative AI can brainstorm,… 05/11/2025 at 10:39 am
  • daniyasiddiqui
    daniyasiddiqui added an answer Why Gut Health Matters More Than You Think But the gut is much more than a tube for the digestion… 04/11/2025 at 4:54 pm
  • daniyasiddiqui
    daniyasiddiqui added an answer  Why the “longevity diet” matters People today don’t just want to avoid disease  they want vitality, clarity, strength, and independence… 04/11/2025 at 3:42 pm

Top Members

Trending Tags

ai aiineducation ai in education analytics company digital health edtech education geopolitics global trade health language mindfulness multimodalai news nutrition people tariffs technology trade policy

Explore

  • Home
  • Add group
  • Groups page
  • Communities
  • Questions
    • New Questions
    • Trending Questions
    • Must read Questions
    • Hot Questions
  • Polls
  • Tags
  • Badges
  • Users
  • Help

© 2025 Qaskme. All Rights Reserved