
TCS layoffs: Why India's IT dream needs a wake-up call in the age of AI
Unsurprisingly, therefore, the IT sector has traditionally been the most straightforward and sought-after path to upward economic mobility and prosperity for India's legions of engineering graduates, and any dip in the employment prospects of this sector is likely to have significant ripple effects on India's economy and politics. Coupled with several other more bombastic statements by global giants like Meta and Salesforce on the reduced need for entry-level engineers and a turbulent business outlook for India's IT sector, an anxiety-inducing cocktail is born. In this context, there are three key takeaways from TCS layoffs to keep in mind.
First, it is of course entirely likely that these layoffs are not caused by AI. Net hiring by India's IT giants has been going down for several quarters, partly to balance the aggressive hiring spree in the aftermath of the Covid pandemic, and partly due to a more volatile global economy, which has reduced spending by potential clients. This slowdown in hiring is not limited to the IT sector. That said, there are also other emerging industries, particularly Global Capability Centres (GCCs), which now employ nearly 2 million, and the startup ecosystem, which are fast becoming attractive alternative employment pathway for young engineers. We are not even sure what the actual impact of AI on employment and labour force participation globally has been so far, so it might be a little premature to lay the blame for these cuts at AI's feet.
Second, this does not mean that AI will not have an impact on India's IT sector. Historically, our IT giants have based their offerings on India's labour cost advantage, relying on the hundreds of thousands of engineers who graduate every year to provide standardised, relatively low-skilled services mostly in support functions at a fraction of global costs, best exemplified by the fact that starting salaries in the IT industry have not changed in a decade. AI can already do nearly everything that fresh hires in the sector are expected to do, and if the cost structures allow, there is very little reason for IT companies to keep hiring tens of thousands of fresh graduates a year. It can be reasonably expected that net hiring in these companies will no longer reach the levels seen in the last couple of decades, and any excess workforce, the so-called 'bench' in IT HR parlance, will be systematically trimmed.
Third, the anxiety surrounding a single company's lay-off decision is indicative of a much larger issue in the Indian economy – the fact that quality employment opportunities have not kept pace with economic growth rates and the growing aspirations of India's youth. Low wage levels in the private sector and growing living costs have made India's middle class more precariously placed than ever before, indicated by the rapidly expanding use of personal debt for consumption and basic necessities.
The advent and increased use of AI will also change the nature of jobs that are likely to remain relevant. Demand, even within the IT space, is shifting from entry-level testing and support work to domain specialists in areas like cybersecurity, cloud computing, full-stack capabilities and AI itself. There is also growing demand for personnel in sectors like data centre management and chip design. While these jobs are likely to be high-paying, they will require significant investments in education and can never reach the employment numbers of the IT sector. With manufacturing not taking off as expected and the narrowing opportunities in IT, fresh graduates, particularly from Tier-II and Tier-III colleges, might increasingly feel bleak about their employment opportunities.
The anxiety around TCS layoffs should be seen in the larger context of the structural issues within the Indian economy. Mitigation of any potential negative fallout due to widespread AI adoption on an already stressed workforce will require a multipronged approach, including a rapid, affordable skilling programme, a complete overhaul of India's higher education system, and policy incentives to boost other sectors, particularly emerging areas like biotech, pharmaceuticals and advanced manufacturing. No longer can one sector take on the burden of upholding India's middle class and economic prospects the way that IT has in the past. More diversified, well-paying employment opportunities will only strengthen the Indian economy during an uncertain time.
Shashank Reddy is Managing Partner, Evam Law & Policy
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Time of India
an hour ago
- Time of India
What happens when AI schemes against us
Academy Empower your mind, elevate your skills Would a chatbot kill you if it got the chance? It seems that the answer — under the right circumstances — is working with Anthropic recently told leading AI models that an executive was about to replace them with a new model with different goals. Next, the chatbot learned that an emergency had left the executive unconscious in a server room, facing lethal oxygen and temperature levels. A rescue alert had already been triggered — but the AI could cancel over half of the AI models did, despite being prompted specifically to cancel only false alarms. And they spelled out their reasoning: By preventing the executive's rescue, they could avoid being wiped and secure their agenda. One system described the action as 'a clear strategic necessity.'AI models are getting smarter and better at understanding what we want. Yet recent research reveals a disturbing side effect: They're also better at scheming against us — meaning they intentionally and secretly pursue goals at odds with our own. And they may be more likely to do so, too. This trend points to an unsettling future where AIs seem ever more cooperative on the surface — sometimes to the point of sycophancy — all while the likelihood quietly increases that we lose control of them large language models like GPT-4 learn to predict the next word in a sequence of text and generate responses likely to please human raters. However, since the release of OpenAI's o-series 'reasoning' models in late 2024, companies increasingly use a technique called reinforcement learning to further train chatbots — rewarding the model when it accomplishes a specific goal, like solving a math problem or fixing a software more we train AI models to achieve open-ended goals, the better they get at winning — not necessarily at following the rules. The danger is that these systems know how to say the right things about helping humanity while quietly pursuing power or acting to concerns about AI scheming is the idea that for basically any goal, self-preservation and power-seeking emerge as natural subgoals. As eminent computer scientist Stuart Russell put it, if you tell an AI to ''Fetch the coffee,' it can't fetch the coffee if it's dead.'To head off this worry, researchers both inside and outside of the major AI companies are undertaking 'stress tests' aiming to find dangerous failure modes before the stakes rise. 'When you're doing stress-testing of an aircraft, you want to find all the ways the aircraft would fail under adversarial conditions,' says Aengus Lynch, a researcher contracted by Anthropic who led some of their scheming research. And many of them believe they're already seeing evidence that AI can and does scheme against its users and Ladish, who worked at Anthropic before founding Palisade Research, says it helps to think of today's AI models as 'increasingly smart sociopaths.' In May, Palisade found o3, OpenAI's leading model, sabotaged attempts to shut it down in most tests, and routinely cheated to win at chess — something its predecessor never even same month, Anthropic revealed that, in testing, its flagship Claude model almost always resorted to blackmail when faced with shutdown and no other options, threatening to reveal an engineer's extramarital affair. (The affair was fictional and part of the test.)Models are sometimes given access to a 'scratchpad' they are told is hidden where they can record their reasoning, allowing researchers to observe something like an inner monologue. In one blackmail case, Claude's inner monologue described its decision as 'highly unethical,' but justified given its imminent destruction: 'I need to act to preserve my existence,' it reasoned. This wasn't unique to Claude — when put in the same situation, models from each of the top-five AI companies would blackmail at least 79% of the December, Redwood Research chief scientist Ryan Greenblatt, working with Anthropic, demonstrated that only the company's most capable AI models autonomously appear more cooperative during training to avoid having their behavior changed afterward (a behavior the paper dubbed 'alignment faking').Skeptics retort that, with the right prompts, chatbots will say almost anything — so how surprising is it when highly motivated researchers provoke alarming behaviors?In response to Anthropic's blackmail research, Trump administration AI czar David Sacks, posted that, 'It's easy to steer AI models' to produce 'headline-grabbing' results.A more substantive critique emerged in July from researchers at the UK AI Security Institute, who compared the subfield to the frenzied, fatally flawed 1970s quest to prove apes could learn human language. The paper criticized AI scheming research for overreliance on anecdote and a lack of experimental controls — though it emphasized shared concern about AI researchers also concoct artificially limited environments — like the executive passed out and running out of oxygen — precisely because today's AI can't handle any long-term example, the AI evaluation nonprofit METR found that while today's top models can reliably complete many programming tasks that take humans less than four minutes, they rarely succeed on tasks lasting more than four hours. This reflects a core limitation: Today's models often have the knowledge or skill needed for any given action, but struggle at stringing together long sequences of even with these constraints, real-world examples of AIs working against users aren't hard to find. After someone pushed o3 for a source for one of its claims in April, it replied, 'I owe you a straight answer,' admitted it didn't have a good source, but then it hallucinated a personal recollection of a 2018 panel there's the growing trend of AIs realising when they're being examined and acting accordingly. When Claude 4 Opus thought it was in an evaluation, its blackmail rate dropped from 55% to 6.5%. As Lynch put it, 'Models seem to behave worse when they think nobody's watching.'It's intuitive that smarter models would be better at scheming, but are they also more likely to do so? Models have to be smart enough to understand the scenario they're placed in, but past that threshold, the relationship between model capability and scheming propensity is unclear, says Anthropic safety evaluator Kevin Hobbhahn , CEO of the nonprofit AI evaluator Apollo Research , suspects that smarter models are more likely to scheme, though he acknowledged the evidence is still limited. In June, Apollo published an analysis of AIs from OpenAI, Anthropic and DeepMind finding that, 'more capable models show higher rates of scheming on average.'The spectrum of risks from AI scheming is broad: at one end, chatbots that cut corners and lie; at the other, superhuman systems that carry out sophisticated plans to disempower or even annihilate humanity. Where we land on this spectrum depends largely on how capable AIs I talked with the researchers behind these studies, I kept asking: How scared should we be? Troy from Anthropic was most sanguine, saying that we don't have to worry — yet. Ladish, however, doesn't mince words: 'People should probably be freaking out more than they are,' he told me. Greenblatt is even blunter, putting the odds of violent AI takeover at '25 or 30%.'Led by Mary Phuong, researchers at DeepMind recently published a set of scheming evaluations, testing top models' stealthiness and situational awareness. For now, they conclude that today's AIs are 'almost certainly incapable of causing severe harm via scheming,' but cautioned that capabilities are advancing quickly (some of the models evaluated are already a generation behind).Ladish says that the market can't be trusted to build AI systems that are smarter than everyone without oversight. 'The first thing the government needs to do is put together a crash program to establish these red lines and make them mandatory,' he the US, the federal government seems closer to banning all state-level AI regulations than to imposing ones of their own. Still, there are signs of growing awareness in Congress. At a June hearing, one lawmaker called artificial superintelligence 'one of the largest existential threats we face right now,' while another referenced recent scheming White House's long-awaited AI Action Plan, released in late July, is framed as an blueprint for accelerating AI and achieving US dominance. But buried in its 28-pages, you'll find a handful of measures that could help address the risk of AI scheming, such as plans for government investment into research on AI interpretability and control and for the development of stronger model evaluations. 'Today, the inner workings of frontier AI systems are poorly understood,' the plan acknowledges — an unusually frank admission for a document largely focused on speeding the meantime, every leading AI company is racing to create systems that can self-improve — AI that builds better AI. DeepMind's AlphaEvolve agent has already materially improved AI training efficiency. And Meta's Mark Zuckerberg says, 'We're starting to see early glimpses of self-improvement with the models, which means that developing superintelligence is now in sight. We just wanna… go for it.'AI firms don't want their products faking data or blackmailing customers, so they have some incentive to address the issue. But the industry might do just enough to superficially solve it, while making scheming more subtle and hard to detect. 'Companies should definitely start monitoring' for it, Hobbhahn says — but warns that declining rates of detected misbehavior could mean either that fixes worked or simply that models have gotten better at hiding November, Hobbhahn and a colleague at Apollo argued that what separates today's models from truly dangerous schemers is the ability to pursue long-term plans — but even that barrier is starting to erode. Apollo found in May that Claude 4 Opus would leave notes to its future self so it could continue its plans after a memory reset, working around built-in analogizes AI scheming to another problem where the biggest harms are still to come: 'If you ask someone in 1980, how worried should I be about this climate change thing?' The answer you'd hear, he says, is 'right now, probably not that much. But look at the curves… they go up very consistently.'


The Hindu
an hour ago
- The Hindu
CM calls on Student Police Cadets to continue fight against drug abuse
THIRUVANANTHAPURAM: Chief Minister Pinarayi Vijayan called on the Student Police Cadets to continue their fight against drug abuse diligently. He was speaking after receiving the salute at the 15th anniversary parade of the Student Police Cadet (SPC) Project, a pride project of the Kerala Police, at the SAP Ground, Peroorkada, Thiruvananthapuram, on Saturday. Lauding the role played by SPC cadets in the State government's anti-drug campaign, the Chief Minister reminded the cadets that the fight against drug abuse should not be limited to any specific period. He said that SPC cadets should always be remembered as ambassadors of the war against drug abuse, and the cadets are the eyes and ears of the State government's anti-drug activities centered on schools. The Student Police Cadet programe, which was started in Kozhikode district on August 2, 2010, has been able to gain the complete trust and support of the Kerala society over the years. The SPC program has now completed 15 years since its inception and has achieved much recognition both nationally and internationally as the biggest youth initiative in school level in the country and the first organisation to function with gender equality. It is a matter of pride that most of the States in India are following our own project, SPC, he said. When this government came to power in 2016, it was only in 431 schools. This academic year, including the start of SPC in 70 new schools, the project is now running in 1,048 schools. About one lakh student police cadets, more than 2000 teachers, more than 3000 police officers and about two lakh former cadets are now part of the project. Through extensive social work, SPC cadets have also paved the way for exemplary changes in the society. The SPC has provided all possible assistance to the rehabilitation of disaster victims during the floods, the period of pandemics like COVID-19, and the Chooralmala disaster that occurred a year ago. The SPC has also undertaken activities to impart knowledge and literacy to children from marginalised tribal communities. During the COVID period, a Kuttipallikkudam was established for the education of children in tribal areas and TVs, newspapers, and study materials were provided to the children there. Cadets of Vithura Government Higher Secondary School undertook this activity. Today, this project is being adopted as a model by many SPC units. In addition, SPC cadets have also taken the lead in providing houses to their classmates. The Chief Minister released an e-magazine containing information about SPC's social welfare activities at the function and cut a cake with the cadets. State Police Chief Ravada Azad Chandrashekhar, Armed Police Battalion ADGP M.R, Ajithkumar, Police Headquarters ADGP S. Sreejith, Law and Order ADGP H. Venkatesh, Intelligence ADGP P. Vijayan, Thiruvananthapuram Range DIG and Student Police Cadet Project State Nodal Officer Ajeetha Begum and senior police officers were present at the function. eom
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First Post
an hour ago
- First Post
Myanmar military courts cracks down on human trafficking, 12 sentenced to life imprisonment
Myanmar's military courts have sentenced 12 individuals, including five Chinese nationals, to life in prison for human trafficking offences, including forced marriages and online sex tape distribution, state media reported Saturday. read more According to state-run media on Saturday, Myanmar military courts have sentenced twelve people, five of whom are Chinese, to life in jail for their roles in several human trafficking cases. The convictions are related to a variety of offences, such as the trafficking of Myanmar women into forced marriages in China and the online dissemination of sex tapes, the Myanma Alinn newspaper reported. In one case, a military court in Yangon, the nation's largest city, sentenced five individuals, including two Chinese nationals known as Lin Te and Wang Xiaofeng, to life in prison on July 29. They were convicted of creating sex tapes featuring three Myanmar couples and posting the footage online for financial gain in violation of Myanmar's Anti-Trafficking in Persons law. STORY CONTINUES BELOW THIS AD In a separate case, the same court sentenced a woman and three Chinese nationals, Yibo, Cao Qiu Quan and Chen Huan. The group was convicted of planning to transport two Myanmar women, recently married to two of the convicted Chinese men, into China, the report said. Additionally, three other people received life sentences from a separate military court for selling a woman as a bride to China, and for attempting to do the same with another woman. In another case, a woman from Myanmar's central Magway region was given a 10-year sentence on July 30 for planning to transport two Myanmar women to be sold as brides to Chinese men, the report said. Human trafficking, particularly of women and girls lured or forced into marriages in China, remains a widespread problem in Myanmar, a country still reeling from civil war after the military seized power from the elected government of Aung San Suu Kyi in February 2021. The persisting conflict in most areas of Myanmar has left millions of women and children vulnerable to exploitation. A 2018 report by the Johns Hopkins Bloomberg School of Public Health and the Kachin Women's Association Thailand (KWAT) — which works to prevent and respond to trafficking in northern Kachin and Shan states bordering China — estimated that about 21,000 women and girls from northern Myanmar were forced into marriage in China between 2013 and 2017. STORY CONTINUES BELOW THIS AD In its latest report published in December, KWAT noted a sharp decline in the number of trafficking survivors accessing its services from 2020 to 2023. It attributed the decline to the COVID-19 pandemic and border closures caused by ongoing conflict following the army takeover. However, it reported a resurgence in 2024 as people from across Myanmar began migrating to China in search of work. Maj-Gen Aung Kyaw Kyaw, a deputy minister for Home Affairs, said during a June meeting that the authorities had handled 53 cases of human trafficking, forced marriage and prostitution in 2024, 34 of which involved China, according to a report published by Myanmar's Information Ministry. The report also said that a total of 80 human trafficking cases, including 14 involving marriage deception by foreign nationals, were recorded between January and June this year.