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Economic Times
11 minutes ago
- Economic Times
Are you in a mid-career to senior job? Don't fear AI - you could have this important advantage
ET Online Have you ever sat in a meeting where someone half your age casually mentions "prompting ChatGPT" or "running this through AI", and felt a familiar knot in your stomach? You're not alone. There's a growing narrative that artificial intelligence (AI) is inherently ageist, that older workers will be disproportionately hit by job displacement and are more reluctant to adopt AI tools. But such assumptions - especially that youth is a built-in advantage when it comes to AI - might not actually hold. While ageism in hiring is a real concern, if you have decades of work experience, your skills, knowledge and judgement could be exactly what's needed to harness AI's power - without falling into its traps. What does the research say? The research on who benefits most from AI at work is surprisingly murky, partly because it's still early days for systematic studies on AI and work. Some research suggests lower-skilled workers might have more to gain than high-skilled workers on certain straightforward tasks. The picture becomes much less clear under real-world conditions, especially for complex work that relies heavily on judgement and experience. Through our Skills Horizon research project, where we've been talking to Australian and global senior leaders across different industries, we're hearing a more nuanced story. Many older workers do experience AI as deeply unsettling. As one US-based CEO of a large multinational corporation told us: "AI can be a form of existential challenge, not only to what you're doing, but how you view yourself." But leaders are also observing an important and unexpected distinction: experienced workers are often much better at judging the quality of AI outputs. This might become one of the most important skills, given that AI occasionally hallucinates or gets things wrong. The CEO of a South American creative agency put it bluntly: "Senior colleagues are using multiple AIs. If they don't have the right solution, they re-prompt, iterate, but the juniors are satisfied with the first answer, they copy, paste and think they're finished. They don't yet know what they are looking for, and the danger is that they will not learn what to look for if they keep working that way." Experience as an AI advantage Experienced workers have a crucial advantage when it comes to prompting AI: they understand context and usually know how to express it clearly. While a junior advertising creative might ask an AI to "Write copy for a sustainability campaign", a seasoned account director knows to specify "Write conversational social media copy for a sustainable fashion brand targeting eco-conscious millennials, emphasising our client's zero-waste manufacturing process and keeping the tone authentic but not preachy". This skill mirrors what experienced professionals do when briefing junior colleagues or freelancers: providing detailed instructions, accounting for audience, objectives, and constraints. It's a competency developed through years of managing teams and projects. Younger workers, despite their comfort with technology, may actually be at a disadvantage here. There's a crucial difference between using technology frequently and using it well. Many young people may become too accustomed to AI assistance. A survey of US teens this year found 72 per cent had used an AI companion app. Some children and teens are turning to chatbots for everyday decisions. Without the professional experience to recognise when something doesn't quite fit, younger workers risk accepting AI responses that feel right - effectively "vibing" their work - rather than developing the analytical skills to evaluate AI usefulness. So what can you do? First, everyone benefits from learning more about AI. In our time educating everyone from students to senior leaders and CEOs, we find that misunderstandings about how AI works have little to do with age. A good place to start is reading up on what AI is and what it can do for you: What is AI? Where does AI come from? How does AI learn? What can AI do? What makes a good AI prompt? If you're not even sure which AI platform to try, we would recommend testing the most prominent ones, OpenAI's ChatGPT, Anthropic's Claude, and Google's Gemini. If you're an experienced worker feeling threatened by AI, lean into your strengths. Your decades of experience with delegation, context-setting, and critical evaluation are exactly what AI tools need. Start small. Pick one regular work task and experiment with AI assistance, using your judgement to evaluate and refine outputs. Practice prompting like you're briefing a junior colleague: be specific about context, constraints, and desired outcomes, and repeat the process as needed. Most importantly, don't feel threatened. In a workplace increasingly filled with AI-generated content, your ability to spot what doesn't quite fit, and to know what questions to ask, has never been more valuable. Elevate your knowledge and leadership skills at a cost cheaper than your daily tea. Can Coforge's ambition to lead the IT Industry become a reality? How Mukesh Ambani's risky bet has now become Reliance's superpower Berlin to Bharuch: The Borosil journey after the China hit in Europe As RBI retains GDP forecast, 4 factors that will test the strength of Indian economy In a flat market, are REITs the sweet spot between growth and safety? These large- and mid-cap stocks may give more than 25% return in 1 year, according to analysts Buy, Sell or Hold: Avendus trims target on Titan Company; Motila Oswal maintains buy on Jindal Stainless Stock picks of the week: 5 stocks with consistent score improvement and return potential of more than 23% in 1 year
Time of India
11 minutes ago
- Time of India
Are you in a mid-career to senior job? Don't fear AI
Academy Empower your mind, elevate your skills Have you ever sat in a meeting where someone half your age casually mentions "prompting ChatGPT" or "running this through AI", and felt a familiar knot in your stomach? You're not a growing narrative that artificial intelligence (AI) is inherently ageist, that older workers will be disproportionately hit by job displacement and are more reluctant to adopt AI such assumptions - especially that youth is a built-in advantage when it comes to AI - might not actually ageism in hiring is a real concern, if you have decades of work experience, your skills, knowledge and judgement could be exactly what's needed to harness AI's power - without falling into its does the research say?The research on who benefits most from AI at work is surprisingly murky, partly because it's still early days for systematic studies on AI and research suggests lower-skilled workers might have more to gain than high-skilled workers on certain straightforward tasks. The picture becomes much less clear under real-world conditions, especially for complex work that relies heavily on judgement and our Skills Horizon research project, where we've been talking to Australian and global senior leaders across different industries, we're hearing a more nuanced older workers do experience AI as deeply unsettling. As one US-based CEO of a large multinational corporation told us: "AI can be a form of existential challenge, not only to what you're doing, but how you view yourself."But leaders are also observing an important and unexpected distinction: experienced workers are often much better at judging the quality of AI outputs. This might become one of the most important skills, given that AI occasionally hallucinates or gets things CEO of a South American creative agency put it bluntly: "Senior colleagues are using multiple AIs. If they don't have the right solution, they re-prompt, iterate, but the juniors are satisfied with the first answer, they copy, paste and think they're finished. They don't yet know what they are looking for, and the danger is that they will not learn what to look for if they keep working that way."Experienced workers have a crucial advantage when it comes to prompting AI: they understand context and usually know how to express it a junior advertising creative might ask an AI to "Write copy for a sustainability campaign", a seasoned account director knows to specify "Write conversational social media copy for a sustainable fashion brand targeting eco-conscious millennials, emphasising our client's zero-waste manufacturing process and keeping the tone authentic but not preachy".This skill mirrors what experienced professionals do when briefing junior colleagues or freelancers: providing detailed instructions, accounting for audience, objectives, and constraints. It's a competency developed through years of managing teams and workers, despite their comfort with technology, may actually be at a disadvantage here. There's a crucial difference between using technology frequently and using it young people may become too accustomed to AI assistance. A survey of US teens this year found 72 per cent had used an AI companion app. Some children and teens are turning to chatbots for everyday the professional experience to recognise when something doesn't quite fit, younger workers risk accepting AI responses that feel right - effectively "vibing" their work - rather than developing the analytical skills to evaluate AI everyone benefits from learning more about AI. In our time educating everyone from students to senior leaders and CEOs, we find that misunderstandings about how AI works have little to do with age.A good place to start is reading up on what AI is and what it can do for you:What is AI? Where does AI come from? How does AI learn? What can AI do? What makes a good AI prompt?If you're not even sure which AI platform to try, we would recommend testing the most prominent ones, OpenAI's ChatGPT, Anthropic's Claude, and Google's you're an experienced worker feeling threatened by AI, lean into your strengths. Your decades of experience with delegation, context-setting, and critical evaluation are exactly what AI tools small. Pick one regular work task and experiment with AI assistance, using your judgement to evaluate and refine outputs. Practice prompting like you're briefing a junior colleague: be specific about context, constraints, and desired outcomes, and repeat the process as importantly, don't feel threatened. In a workplace increasingly filled with AI-generated content, your ability to spot what doesn't quite fit, and to know what questions to ask, has never been more valuable.
The Hindu
5 hours ago
- The Hindu
How is AI reshaping India's infotech sector?
The story so far: Recent announcements from Tata Consultancy Services (TCS) — a reported freeze on experienced hires, and the planned removal of 12,000 employees — have sent ripples of anxiety across the Indian tech sector. The Indian IT industry, which generates $280 billion in revenue and employs more than 5.8 million people, is at a crossroads. Why is a shake-up happening? While headlines often sensationalise these events as a direct consequence of AI (artificial intelligence) 'culling jobs', a far more complex scenario is playing out. 'These developments are not isolated incidents but rather critical indicators of AI-catalysed transformation sweeping through software development and IT services, demanding a holistic re-evaluation of business models, talent strategies, and the very nature of work,' says Avinash Vashistha, former MD, Accenture India, and currently Chairman & CEO, Tholons, a New York-based technology, innovation and investment firm. At the heart of this transformation is AI's capacity to drive unprecedented efficiencies across the entire software development lifecycle. Why is AI gaining momentum now? In a climate where most deal wins are being led by cost-optimisation initiatives, demonstrating efficiency is paramount for investor confidence, and AI-led productivity is helping companies do that, Mr. Vashistha says. AI-powered coding assistants, code generation tools, and intelligent debuggers are already enabling over 30% productivity boosts. The impact extends powerfully into the critical, often resource-intensive domains of testing and maintenance. AI in software testing is a game-changer. AI-driven tools can minimise human error and enhance the overall accuracy of test results by leveraging data-driven insights. How will it impact jobs? AI is no longer a futuristic technology limited to labs and startups. It is becoming the very fabric of how work gets done in global enterprises. In 2025 alone, more than $1 trillion is expected to be spent globally on AI infrastructure, model training, and application development. 'From generative AI chatbots to intelligent automation in back-end systems, AI is now shaping everything — how customer service is delivered and how decisions are made in boardrooms. This shift has already started to impact hiring and organisational structures. In the U.S., the CEO of Wells Fargo remarked that 'attrition is our best friend', after the company reduced its workforce for 20 straight quarters,' points out V. Balakrishnan, Chairman, Exfinity Ventures, a venture capital firm, also former CFO at Infosys. AI, automation, and low-code platforms are creating environments where fewer people can do more and do it faster. Does this mean more business for India? Most large global firms grapple with legacy infrastructure, poor-quality data, and fragmented systems which are major barriers to rolling out intelligent solutions at scale. Also, with global AI regulations like the EU's AI Act coming into force, companies will need to demonstrate responsible AI usage, privacy compliance, and algorithmic fairness. 'This is where Indian IT can play a pivotal role. By helping global clients clean and organise data, modernise old systems, and build compliant AI solutions, Indian firms can reposition themselves as indispensable partners for the AI era. Rather than being disrupted by AI, they can become the very agents that help their clients adopt it effectively,' says Mr. Balakrishnan. What's the message TCS is sending? Industry experts say TCS, with its vast workforce of 6,07,979 employees as of March 2025, is an industry bellwether. Its recent announcements are a strategic message to the stock market, to employees, and to global clients, Mr. Vashishta says. For the stock market, such moves signal a disciplined approach to cost optimisation and a proactive stance in adapting to a changing market. For clients, TCS's actions communicate its commitment to delivering highly efficient, AI-catalysed solutions. To employees, the message is one of heightened expectations and the need for continuous skill transformation. For more than three decades, India's IT services industry — spearheaded by TCS, Infosys, Wipro, and their peers — has been the bedrock of its global digital identity, earning India its place as the 'back office of the world'. But that era is 'sunsetting', says Sharad Sharma, co-founder of the ISPIRT Foundation. A seminal shift, which Andrej Karpathy, former technology head of Tesla, calls Software 2.0 & 3.0, 'will change things fundamentally and reduce the advantage of scale'. India's tech future will not be built by coding armies billing hours for legacy systems. It will be built by lean, AI-native small firms solving complex problems in healthcare, defence, fintech, sustainability, education, and beyond. 'Tech firms no longer need a large IT park to serve global clients. A team of 50 can out-innovate a team of 5,000,' Mr. Sharma says. What does this mean for Indian techies? AI is not likely to replace coders/system engineers who code in C++, which is used to build operating systems, gaming, graphics, and critical secure applications. Wherever human ingenuity, critical thinking, and imagination is needed, AI is yet to make a huge practical impact. B.S. Murthy, CEO, Leadership Capital, says, 'AI will not immediately replace domain competencies like tech architects, dev ops, UI/UX, product management, robotics & embedded systems. Talent high on math and imagination will rule the roost in this decade.' Developers should evolve into supervisors and collaborators who focus on strategic decisions, ethical considerations, domain-specific logic, security planning and creative problem-solving that AI cannot replicate, Mr. Murthy adds. Mr. Vashishta notes that the 'TCS situation, therefore, is not a harbinger of doom, but a potent call for every stakeholder in the Indian tech ecosystem to adapt, evolve, and thrive in the age of AI.' Why is the tech sector is no longer just about scale? The Indian tech sector remains a powerhouse, contributing significantly to India's GDP and exports. It employs an army of people and is a global leader in IT services, driven by a large pool of skilled talent, government support for digitisation, and a vibrant startup ecosystem. India continues to be a major hub for multinational corporations setting up GCCs for various business functions. However, the sector is no longer just about scale; it's about specialised expertise and leveraging cutting-edge technologies. The current flux, while challenging, presents an unparalleled opportunity for the Indian IT sector to shed its 'stuffy image,' embrace AI as a core competency, and solidify its position as a global leader in the new era of intelligent automation and digital innovation. 'As AI begins to transform global workflows, business priorities, and customer expectations, the foundational strengths of India's IT sector—people, processes, and predictability — are being put to the test,' says Mr. Balakrishnan.
