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University degrees are not enough: Experts share 3 easy skills that AI still can't fake
University degrees are not enough: Experts share 3 easy skills that AI still can't fake

Economic Times

time6 days ago

  • Business
  • Economic Times

University degrees are not enough: Experts share 3 easy skills that AI still can't fake

TIL Creatives Representative AI Image 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 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 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 been a quiet shift in what companies value. It used to be enough to show promise. Now, they want 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 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 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 many graduates, this shift feels like a betrayal. They did what they were told. Go to uni. Get the degree. Job will 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 not just that jobs are disappearing. The way you apply for them has changed 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 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 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 don't mistake policy for practice. For every 100 job ads that removed a degree requirement, only four more non-degree candidates were actually 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, 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 the odd twist in all this. The further you are from a screen, the safer your job might no easy fix. But there is a way to fight 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 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 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.

University degrees are not enough: Experts share 3 easy job skills that AI still can't fake
University degrees are not enough: Experts share 3 easy job skills that AI still can't fake

Time of India

time6 days ago

  • Business
  • Time of India

University degrees are not enough: Experts share 3 easy job skills that AI still can't fake

AI isn't just reshaping the workplace. It's gutting the bottom rung of the career ladder. Entry-level jobs are being automated, filtered, and squeezed out before graduates even get a foot in. Internships are now essential. Portfolios speak louder than degrees. Even the job application itself is a battle against machines. While companies insist no jobs are lost, the numbers and stories say otherwise. For young people, this is less a job market and more a maze with no map. Tired of too many ads? Remove Ads AI wants skills, not potential Tired of too many ads? Remove Ads The intern is the new employee Degrees still matter. But they're no longer enough Tired of too many ads? Remove Ads The machines now read your CV first A degree no longer guarantees you anything Not all jobs are at risk, yet What young people can actually do 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 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 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 been a quiet shift in what companies value. It used to be enough to show promise. Now, they want 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 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 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 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 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 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 many graduates, this shift feels like a betrayal. They did what they were told. Go to uni. Get the degree. Job will now? Not 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 not just that jobs are disappearing. The way you apply for them has changed 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 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 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 don't mistake policy for practice. For every 100 job ads that removed a degree requirement, only four more non-degree candidates were actually 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, 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 the odd twist in all this. The further you are from a screen, the safer your job might no easy fix. But there is a way to fight 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 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 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.(With inputs from TOI)

Pure Storage redefining what's possible for their customers with expansion of its next-generation storage products
Pure Storage redefining what's possible for their customers with expansion of its next-generation storage products

Tahawul Tech

time11-07-2025

  • Business
  • Tahawul Tech

Pure Storage redefining what's possible for their customers with expansion of its next-generation storage products

Pure Storage has announced an expansion of its next-generation storage products designed for the most demanding, high-performance workloads, that they claim will redefine what is possible for their large customer base. 'In an era where data is king and IT complexity remains a major hurdle to accessing and using data for optimal business value, Pure Storage is once again redefining what's possible for customers,' said John Colgrove (Coz), Founder and Chief Visionary at Pure Storage. 'Pure Storage delivers the magic by rejecting the norms we've come to accept for storage infrastructure; they are what's holding us back within this new era of exponential data growth and logarithmic growth of insight value.' As data volumes rise and business demands shift faster than ever, traditional storage infrastructures create fragmentation, silos, and uncontrolled data sprawl. Organizations must fundamentally change their approach to data storage and management to one that nimbly and efficiently helps customers meet and scale growing data needs. An Enterprise Data Cloud (EDC) redefines how data is delivered, governed, and consumed by creating a virtualized cloud of data delivering a single, seamless data layer with consistent control across on-premises, public cloud, and hybrid environments. Only the Pure Storage platform offers the performance, efficiency, and intelligence to deliver such data management at scale. FlashArray and FlashBlade – Built To Do More Core to the Pure Storage platform are Pure Storage FlashArray™ and Pure Storage FlashBlade®, which underpin the delivery of performance, reliability, and flexibility in a unified storage experience. The latest Pure Storage FlashArray and Pure Storage FlashBlade offerings extend the platform — unlocking massive performance density gains, enabling faster results, and seamlessly scaling for future applications and demands — with capabilities to handle the full workload spectrum. NEW: Pure Storage FlashArray//XL The next generation of Pure Storage FlashArray, FlashArray//XL™ R5, sets the bar for performance at extreme scale so customers can consolidate diverse workloads into a unified platform. FlashArray//XL: Doubles the amount of IOPS (Input/Output Operations Per Second) per rack unit compared to the previous generation and increases max raw capacity by up to 50 percent. NEW: Pure Storage FlashArray//ST Continuing to push the boundaries of high-performance platforms, FlashArray//ST™ is a new offering designed to serve the most latency-sensitive workloads such as in-memory databases, large OLTP, log writing, and scale-out and sharded NOSQL databases. FlashArray//ST: Delivers over 10 million IOPS per five rack units through an optimized IO path. NEW: Pure Storage FlashBlade//S Next-generation controller blades in FlashBlade//S™ R2, the latest version of Pure Storage FlashBlade//S, enhance the platform to help organizations accelerate time-to-insight, consolidate infrastructure, and realize faster outcomes from the most demanding data pipelines. FlashBlade//S: Performs up to 30% greater than competitors across critical workloads like genome sequencing, inference, and electronic design automation simulations, as well as other extensive datasets required for effective AI reasoning. NEW: Single Architecture of Block, File, and Object Addressing the explosive growth of unstructured data, Pure Storage extends object support to FlashArray, creating a true single architecture for block, file and object across the entire Pure Storage platform. Object support for FlashArray: Simplifies data management with block, file, and object consolidated on a single unified platform and consistent experience. 'Pure Storage was born to disrupt the industry, as we introduced new capabilities to reliably achieve better and better performance at any scale,' continued Colgrove. 'We are unwavering in our mission to enable our customers' ambitions, providing the most innovative and reliable foundation they need to confidently meet any future challenge or opportunity.'

Inside Pure Storage's vision to redefine enterprise data management
Inside Pure Storage's vision to redefine enterprise data management

Time of India

time08-07-2025

  • Business
  • Time of India

Inside Pure Storage's vision to redefine enterprise data management

'I have three backups,' Pure Storage CEO Charles Giancarlo said as we discussed cyber resilience. 'Local drive, network attached storage for the house, and the cloud.'It's not every day that a CEO opens with a personal anecdote about his own risk-averse habits. But then again, Giancarlo isn't an everyday tech executive. That moment set the tone for a wide-ranging conversation on the sidelines of Pure//Accelerate 2025 in Las Vegas — one that spanned agentic AI, hyperscalers, reverse cloud migrations, and the fast-growing talent base in emerged was a vision shaped not just by technical superiority, but by first principles thinking — reimagining data storage as a strategic function, not a siloed, manual process. From bespoke to cloud-like: Rethinking enterprise storage 'It's enterprise data architecture catching up with the modern world and IT environment, because everything else in our personal lives has, in many ways, become virtualized,' Giancarlo said. Enterprise data storage has traditionally been heavily customized for each application — a patchwork of bespoke setups. But now, there's a shift in recognizing that data storage within an enterprise can be transformed to resemble its own private cloud, no matter where the physical infrastructure resides — on-prem, hybrid, or in the public cloud. By making storage appear and behave like a cloud, organizations can access data from anywhere within the enterprise, automate protection through policies like backups or snapshots, and apply specific handling rules for different types of data. At the centre of this vision is Pure's new platform — the Enterprise Data Cloud (EDC) — announced at the event. 'It gives organizations the ability to easily manage their data across their estate with unrivaled agility, efficiency and simplicity,' said Giancarlo. With EDC, IT teams can centrally manage a virtualized cloud of data with unified control—spanning on-premises, public cloud, and hybrid environments—and enable intelligent, autonomous data management and governance. Pure fusion: Unified and intelligent by design At the heart of this autonomous approach is Pure Fusion, which unifies storage into a dynamic pool of adaptable resources. Arrays are self-discoverable and can automatically detect and integrate with a broader fleet. Admins can manage the entire system from any array, as every array functions as an endpoint. This is a continuation of Pure's founding belief in simplification. 'We started Pure with the belief that flash would replace all disks,' Giancarlo recalled. 'And we decided all modalities — file, object, block — should be built on one core software, Purity.' Avoiding the fragmentation that typically follows M&A-driven expansion, Pure chose to build internally. 'We brought in software engineers — not storage people. We treated data storage as high technology.' Analyst Matt Kimball , VP & Principal Analyst at Moor Insights & Strategy, noted: 'Pure's Enterprise Data Cloud represents a tangible shift in how enterprises manage data. By abstracting the complexity of hybrid environments into a unified, policy-driven platform, Pure is delivering on the vision in a way that's actionable today.' Evolving beyond hardware: The software trajectory Despite being known for its hardware, Pure is actively expanding its software play through platforms like Portworx and extending Fusion to third-party storage systems. 'Over the next five years or so, I believe that we will be doing more and more that does not necessarily require our hardware,' Giancarlo said. 'That being said, some of the capabilities we've developed in Purity for direct flash are quite unique and will keep us in the physical part of the market for quite some time. I think more of our revenue will come from outside of the hardware.' A new dynamic with hyperscalers As Fusion extends to integrate with hyperscalers, Pure is repositioning itself within the enterprise ecosystem. 'It allows hyperscalers to actually be a closer and more fundamental part of an enterprise data strategy,' Giancarlo said. He envisions a 'cloud of clouds' approach — a unified enterprise cloud that includes SaaS, hyperscalers, and on-prem infrastructure. So, does EDC challenge the hyperscalers, complement them, or rebalance the equation for customers? 'In situations like this, it is a little bit of all of the above. There's a very common term in high technology called coopetition. You have to cooperate with companies even though there's some overlap. But when there's some overlap, it is actually good for customers in a number of ways,' Giancarlo said. 'Us selling into the hyperscalers — that's very exciting for us right now. We continue to expect, at Meta, to ship one to two exabytes this year, which is quite a large amount of storage. And next year, we're expecting shipments in the low double digits. What's very exciting about Meta is that they've certified us for every level of storage in their environment — from the highest performance down to the lowest cost,' he added. The AI shift: From storage to infrastructure intelligence Alongside EDC, Pure is leaning heavily into intelligence and automation. The AI Copilot is an always-on assistant that delivers fleet-aware, personalized insights across topics like security, performance, sustainable operations, and support. 'By doing more in automating storage, we also allow our customers to do a better job of managing their data. We want to get to the point where the storage is managed automatically, completely autonomously,' Giancarlo said. The bedrock of Agentic AI is Model Context Protocol. Giancarlo said, 'It shows the AI agent exactly how the storage works and provides the real-time state of our arrays — performance, capacity, functionality.' The agent can then either recommend an action to the user or, if permitted, carry it out autonomously, Giancarlo said, with the additional caveat that many customers are not yet willing or ready to allow an agent to do it autonomously. India at the centre of innovation Where does the next wave of growth come from? Giancarlo is clear: Market share gains in enterprise, and deeper integration with hyperscalers. 'Fusion creates more value for the enterprise.' India plays a central role in both product development and go-to-market momentum. 'God's honest truth, our growth in India and Bangalore is the highest in the world,' he said. Leadership from the India R&D centre is responsible for core capabilities, especially around file storage. The combination of low power consumption, compact footprint, and high reliability aligns well with market needs in India. Giancarlo expects to see 'continued strong growth' in the region. Pure's North Star for the next few years? AI, cloud infrastructure, and the Enterprise Data Cloud—each reinforcing the other. From its early bet on flash to its emerging leadership in autonomous data platforms, Pure Storage isn't just iterating, it's redefining.

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