
University degrees are not enough: Experts share 3 easy skills that AI still can't fake
John Colgrove, founder of Pure Storage, recently visited Bengaluru and made a bold claim: 'Not a single job has been lost to AI.' On paper, it sounds reassuring. On the ground, it doesn't hold up, as reported by TOI.In the US, postings for entry-level jobs are down over 11 percent since early 2021. In India, it's even sharper. Just two years ago, large IT firms were hiring 50,000 graduates every quarter. That number has crashed to under 5,000. In the UK, young people are sending out hundreds of applications and hearing nothing back.So while the total number of employees in big firms might look steady, the pipeline feeding new talent into those roles is drying up. New graduates are stuck outside, knocking on a door that doesn't open.There's been a quiet shift in what companies value. It used to be enough to show promise. Now, they want proof.Entry-level roles demanding AI skills have jumped by 30 percent, according to data from Draup. As reported by TOI, Mukesh Chaudhary of Accenture puts it simply: one in three companies is already experimenting with agentic AI, the kind that can take over whole workflows without constant human input.
Engineers, he says, now need to build, manage, and supervise autonomous systems. What used to be 'starter' tasks basic bug fixes or QA work are vanishing into automation.And it's not just coding roles. The same pattern is showing up in admin, data entry, marketing, customer support. Anywhere a junior used to learn the ropes is now where AI is being tested first.If you're still thinking of internships as optional summer fluff, think again. Vijay Swaminathan, CEO of Draup, says it flatly: 'Companies want graduates to be productive from day one.'To get there, students need to pick a direction early. 'Choose a focus area like data engineering or infrastructure and go deep, semester after semester,' he advises. Bouncing between interests doesn't impress anymore. Depth beats variety.
It's the same story from Devashish Sharma, CEO of Taggd: 'Internships and hackathons have become the new probation period.' Companies aren't waiting until someone's hired to test them. They're watching your GitHub, your open-source contributions, your side projects. Atul Sahgal, who heads global talent acquisition at Cognizant, agrees. The company plans to hire 20,000 graduates this year but says the bar is higher. 'A lively GitHub repo speaks louder than marksheets,' he says.For many graduates, this shift feels like a betrayal. They did what they were told. Go to uni. Get the degree. Job will follow.But now? Not always.
As reported by The Guardian, Susie, a PhD holder from Sheffield, applied to more than 700 jobs in nine months. She finally got one — it pays just under £30,000, barely above a research stipend. Martyna, 23, sent out 150 applications and heard mostly silence. 'I feel very disheartened and, frankly, lied to,' she said. 'I have £90,000 in student debt – for what?'
Even hospitality and retail roles are asking for experience. Lucy, a graduate from Lincolnshire, summed it up: 'I got a degree because I was told it was the only good option. Now I'm working at Greggs.' The market isn't just tight. It's unforgiving. And it's stacked against those who come in with nothing but a degree and hope.It's not just that jobs are disappearing. The way you apply for them has changed too.CVs are now being screened by AI long before a human sees them. This has triggered a wave of tricks like pasting the full job description into your CV in invisible font, so keyword filters don't bin your application. But even that's becoming pointless. The bigger issue is sameness. Everyone's using the same AI tools to write the same polished cover letters.Willemien Schurer's son sent out 200 applications with no success. Her conclusion? 'If everyone ticks all the boxes, how do you choose?' She thinks we've gone backwards. 'It appears that it's back to who you know rather than what you know.'Networking, referrals, chance encounters they matter more now than ever.Employers are starting to drop formal requirements. In the US, 14 states and several federal agencies have shifted to skills-first hiring. A Harvard-Burning Glass report found that jobs dropping degree requirements have quadrupled in the last decade.But don't mistake policy for practice. For every 100 job ads that removed a degree requirement, only four more non-degree candidates were actually hired.And there's another twist. AI might be helping students pass coursework but it's also leaving them unprepared. Lecturers say many graduates can't summarise properly. They struggle to problem-solve. Their writing is weak. A senior recruiter in London said bluntly, 'These were basic requirements 10 or 15 years ago. Now they are elite skills.'Some roles are holding steady. A Microsoft Research study identified 40 jobs that AI still can't touch. They include hands-on, unpredictable or highly human work: nursing assistants, welders, ship engineers, mechanics.AI can monitor your health, but it can't draw blood or comfort a dying patient. It can tell you when your tyre pressure is low, but it can't get on its knees and change it.That's the odd twist in all this. The further you are from a screen, the safer your job might be.There's no easy fix. But there is a way to fight back.Use uni as a basecamp, not a destination. Start building experience early. Not just any experience — the kind that shows up in public. Contribute to projects. Join open-source teams. Publish something.Build both depth and range. Know your niche, but understand the bigger picture. Learn how to think clearly, write persuasively, collaborate well. These are the things AI still can't fake.The job market has changed. But people who adapt early, fast, and visibly, still stand a chance. Even if the old paths are gone, new ones are there. You just have to make them yourself.

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The Hindu
3 hours ago
- The Hindu
Should coding be mandatory learning in schools? Benefits, challenges, and the road ahead
In a world increasingly driven by technology, the question of whether coding should be a mandatory subject in schools has gained prominence. As smart phones become an extension of our hands and AI tools begin to shape how we live and learn, the ability to understand and create with code is becoming more than a technical skill—it's a new form of literacy. This article explores the reasons behind the growing demand for coding in education, the challenges of implementing it, and whether it should truly be made mandatory for all students in Indian schools. What is code? Why is it important? At its core, coding is the process of writing instructions for computers to perform specific tasks. From the apps we use every day to self-driving cars and medical robots, coding is the language behind the machines. Learning to code isn't just about becoming a software engineer. It teaches logical thinking, problem-solving, creativity, and precision and structure. In essence, coding is a skill that enhances 21st-century learning, much like reading and writing did for earlier generations. Shift to teaching coding world Countries like the United States, United Kingdom, Estonia, and Singapore have already integrated coding into school curricula. In the U.K., children start learning programming as early as age five. Estonia, often referred to as the 'Silicon Valley of Europe,' introduced coding in primary schools back in 2012. These moves are not just about creating more software engineers, but about preparing young citizens for a digital-first future. The National Education Policy (NEP) 2020 marked a significant shift in Indian education. One of its key highlights was the introduction of coding from Class 6 onwards. The idea is to nurture computational thinking and expose students to digital tools early. Many CBSE-affiliated schools and private institutions have already started offering basic coding and robotics classes. Online platforms such as WhiteHat Jr, Coding Ninjas, and have capitalized on this trend. A case for making it mandatory We are heading into a world dominated by automation, Artificial Intelligence, and Data Science. Coding is the backbone of all these technologies. Equipping students with this skill early can help India build a future-ready workforce. Coding is not just technical. It's creative. Students learn how to break down big problems into smaller steps—a skill useful in any profession. Even today, the IT industry is one of India's biggest employers. As industries go digital, coding will become essential in finance, healthcare, agriculture, education, and even art. When taught in government schools, coding can empower rural students to access global knowledge, participate in innovation, and break the cycle of poverty. Coding communities are active and supportive. Platforms like GitHub, Stack Overflow, and online courses allow students to learn beyond textbooks. 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Instead of making coding mandatory for all, it can be introduced as a core elective. Give students the choice to opt for it early on. Make it mandatory only for those who choose Science or tech-related streams in higher classes. Introduce block-based coding (Scratch) in primary school and text-based coding (Python, C) in high way, we respect individual interests while still preparing a large popu- lation for tech-driven careers. 'Coding should be taught like mathematics—logical thinking first, language second,' says Dr. Ruchi Sharma, a computer science educator in Delhi. 'We need to teach kids to think like coders before we teach them to code,' says Prof. Debarghya Das, a Cornell Computer Science graduate and Google engineer. Impact of coding education Tanmay Bakshi, an Indian-origin coder in Canada, started coding at age 5 and is now an AI expert at age 18. In India, Atal Tinkering Labs funded by NITI Aayog are helping school students build apps and hardware products through hands-on coding experience. It's a misconception that coding is only for those interested in computers. Even in fields like music, medicine, fashion, and agriculture, digital solutions are transforming workflows. Think about doctors using machine learning for diagnosis. Musicians using code to generate beats. Farmers using sensors and coded apps to monitor soil health. Learning to code is like learning a tool that can amplify whatever passion a student already has. Call for smart implementation The question isn't whether coding is important—it clearly is. The real question is how and when we should teach it. Making coding mandatory too early, without preparation, risks alienating students and failing in execution. But delaying or ignoring it will leave the next generation unprepared for a digital economy. The answer lies in balanced reform. Invest in teacher training and infrastructure. Start with basic digital literacy. Gradually integrate problem-solving and logical thinking. Introduce coding as a flexible, project-based subject, not just textbook learning As India's digital economy grows, we must prepare our students to not just use technology—but create it. (Mohsin Iqbal is a student of (Hons) Computer Science at Jamia Millia Islamia New Delhi.)


India Today
7 hours ago
- India Today
Free AI courses or workplace training? – Experts weigh in on upskilling
In India's offices, the AI conversation is no longer theoretical, it's operational. Across sectors, the pressure to integrate artificial intelligence into daily workflows is clear. Whether it's content generation, data analytics, or customer engagement, AI is now an essential component of corporate employees, the challenge is now not recognising AI's importance, but deciding how to acquire the skills to use it. Should the white collars turn to the growing ecosystem of free online courses from platforms like Google, Microsoft, Amazon Web Services, Coursera and Udemy? Or should they rely on employer-led, in-office training that integrates AI tools directly into their work environment?advertisementThe necessity of upskilling is widely acknowledged, with even experts recognising the value of tapping into all available resources. Experts incline towards a balanced approach, combining accessible learning options with structured organisational programmes to ensure both breadth and depth in skill debate is further complicated by questions of economics and efficiency. Free online resources are abundant, flexible, and accessible to anyone with an internet contrast, in-office training provides structure, context, and opportunities for direct application, but it is often reserved for selected employees and may arrive too late to rescue careers already under CASE FOR TAKING CONTROLAnkur Agarwal, founder of the LHR Group, does not mince words. 'While organisations absolutely must invest in AI training, it's a business imperative, not charity, the employees must take control of their careers and invest in developing their capability, leverage every free resource available (Coursera, YouTube, GitHub, ChatGPT itself) while pushing for better corporate training".Experts also point out that younger talent, digital natives who are likely to arrive in the workforce already equipped with AI skills, may soon become a more attractive option for companies than investing heavily in training the 'legacy' their perspective, just as firms must remain competitive in compensation to retain employees, workers too must remain competitive in their skills to secure their place. They are of the view that AI learning is as much a matter of survival as salary competitiveness, and free courses, even without corporate backing, serve as a crucial safeguard against ORGANISATIONAL IMPERATIVEBut there's another side to the story. 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However, as we felt, relying solely on individual initiative creates organisational inefficiencies," he says."Given this direct correlation between employee skill development and business outcomes, strategic investment in learning infrastructure becomes a clear operational imperative", adds note that self-directed learning delivers results for only about 20% of individuals, while the remaining 80% need structured frameworks, dedicated learning time, and curated understanding has led to initiatives such as learning wallets and dedicated argue that the real question is not about splitting costs between employer and employee, but about whether leadership recognises upskilling as essential a world where AI capabilities are advancing at an exponential pace, continuous learning is no longer just professional development, it is an operational system-wide skill-building, companies risk slowing themselves down and losing their competitive BREADTH WITH DEPTHHere, experts emphasise the importance of curation, starting with open resources to create awareness, then developing deeper expertise through corporate programmes aligned with specific business needs.'Free AI courses can spark curiosity, but workplace AI training is where meaningful capability building happens. In contrast, in-office training, when designed well, blends AI concepts with real-world workflows, experiential simulations, and cross-functional collaboration," says Rajiv Jayaraman, CEO and Founder of KNOLSKAPE. (AI-generated image) advertisement"The real winner isn't one over the other; it's a well-curated blend, where foundational knowledge comes from accessible resources, but mastery and transformation happen within the organization's contex," he real answer is not either/or but Aniruddha, Co-Founder and Chairman of TechnoStruct Academy, frames the issue in sharper market observes that in the choice between free AI courses and corporate training, India's professionals are 'voting with their keyboards', and the outcome is to him, the real advantage lies with employees who push for both, compelling companies to subsidise certifications while also providing hands-on India's competitive job market, he warns, half-measures are inadequate; firms that fail to combine structured upskilling with freely available learning are not truly preparing their workforce, but merely pacifying data point from NASSCOM, that 73% of learners prefer the flexibility of free platforms, underscores a generational shift in learning behaviour, one that employers must address or risk losing competitive talent to more agile GOOGLE EFFECT AND BEYONDThe peg is clear: companies like Google are offering an expanding range of free AI courses, from generative AI basics to advanced applications in data Amazon, and IBM are doing the same. 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Economic Times
9 hours ago
- Economic Times
India can leapfrog in global manufacturing with innovation-led strategy: Accel report
Synopsis Accel's report highlights India's chance to lead in advanced manufacturing, shifting from low-cost production to innovation. Sunrise sectors like precision engineering and EVs offer leadership potential with aligned policy, capital, and talent. The report emphasizes that competitiveness hinges on complex manufacturing, IP, and technology adoption, urging founders to think globally and prioritize upskilling. TIL Creatives AI generated image. India's manufacturing sector has a rare opportunity to leapfrog global incumbents by moving beyond low-cost production to an innovation-led model, according to Accel's advanced manufacturing report 2025 released on Thursday. Precision engineering, aerospace, EV components, semiconductors, robotics, and advanced materials are sunrise sectors where India can take a leadership position, provided policy, capital, and talent align, states the report by the global venture capital firm. The report was unveiled at Accel's Advanced Manufacturing Summit in New Delhi, an event that brought together policymakers, founders, and investors to chart India's industrial future. It concluded that India's manufacturing sector has a rare opportunity to leapfrog global incumbents by going beyond low-cost production to an innovation-led model. "This is India's once-in-a-generation window," noted Prashanth Prakash, partner at Accel. The winners will be those who can integrate policy momentum, deep-tech capability, patient capital, and world-class talent into a coherent strategy, he said. "This is not just about scale, it's about sovereignty," he added. The findings underlined a decisive shift, and observed competing solely on low-cost labour is no longer sustainable, an Accel statement said. Future competitiveness will depend on delivering complex, high-tolerance manufacturing backed by strong intellectual property. Global supply chain realignments, technology disruption, and favourable geopolitics are reshaping India's manufacturing opportunity. Coupled with domestic policy support such as production linked incentive (PLI) schemes and new R&D incentives, this is "the most favourable macro-environment in decades", Accel said. That said, execution remains a critical challenge. "Policy tailwinds are necessary but not sufficient," said Prayank Swaroop, partner at Accel. Founders need to think global from day one, in product quality, supply chain design, and technology adoption, he said, pointing out that precision engineering is not a niche anymore. It's the new growth engine. The report calls for patient, risk-tolerant capital to support hardware development, Intellectual Property (IP) creation, and long product cycles that define advanced manufacturing. It also highlights the urgent need for upskilling in frontier domains such as AI-driven design, robotics, additive manufacturing, and IoT-enabled automation. Technology adoption, it notes, will be the ultimate differentiator, with artificial intelligence (AI), automation, advanced simulation, and internet of things (IoT) now core infrastructure for competitiveness. "If India wants to define its place in the global industrial order, this is the decade to do it. The question is no longer if we can, but whether we will seize the opportunity with the urgency it demands," Prakash added.