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India leads with 92% employees embracing GenAI tools, against global average of 72%
India leads with 92% employees embracing GenAI tools, against global average of 72%

India Gazette

time6 days ago

  • Business
  • India Gazette

India leads with 92% employees embracing GenAI tools, against global average of 72%

New Delhi [India], June 26 (ANI): India is leading the global GenAI charge, with 92 per cent of employees embracing such tools, well ahead of the global average of 72 per cent, according to a new report by Boston Consulting Group (BCG). AI is now woven into the fabric of daily work, with 72 per cent of respondents using it regularly. But the true value of AI is being captured by a smaller subset of companies that go beyond tool deployment to fully redesign workflows, according to the new report from BCG titled 'AI at Work 2025: Momentum Builds, But Gaps Remain', released on Thursday. The third edition of BCG's annual survey, based on responses from over 10,600 workers across 11 countries, reveals that while AI adoption is strong overall, only 51 per cent of frontline employees are regular users--a figure that has stagnated. Meanwhile, the Global South continues to lead in adoption, with India at 92 per cent and the Middle East at 87 per cent as the nations with the highest levels of regular use. Yet these two high-use countries also report the greatest fear about automation's impact, far higher than the 41 per cent of all global respondents who worried their roles could disappear within the next decade. 'The country (India) also ranks among the top nations experimenting with AI agents, with 17 per cent of employees reporting integration into their workflows, placing India in the global top three. However, this rapid adoption brings new challenges. Nearly half (48 per cent) of Indian employees fear job displacement over the next decade, highlighting a growing sense of uncertainty,' Nipun Kalra, Managing Director and Senior Partner; India Leader - BCG X, BCG. 'Furthermore, only about one-third of the workforce feels adequately trained to leverage AI's potential fully. As we move from early adoption to delivering real business impact, Indian enterprises must invest in structured training, in-person coaching, and leadership enablement to scale value both responsibly and inclusively.' The BCG report underlined three key levers to boost AI adoption. Proper Training: Only 36 per cent of employees feel adequately trained in AI use. Those who receive five or more hours of training--especially in person and with coaching--are significantly more likely to become regular users. Access to the Right Tools: Over half of respondents (54 per cent) say they would use AI tools even if not authorised, with Gen Z and Millennials especially prone to bypass restrictions. This 'shadow AI' poses rising security risks. Strong Leadership Support: Just 25 per cent of frontline workers say their leaders provide enough guidance on AI. Where leadership is engaged, adoption and employee optimism are markedly higher. 'Companies cannot simply roll out GenAI tools and expect transformation,' said Sylvain Duranton, Global Leader of BCG X and a coauthor of the report. 'Our research shows the real returns come when businesses invest in upskilling their people, redesign how work gets done, and align leadership around AI strategy.' (ANI)

India beats global average in employees using AI: report
India beats global average in employees using AI: report

Economic Times

time6 days ago

  • Business
  • Economic Times

India beats global average in employees using AI: report

TIL Creatives India leads in artificial intelligence (AI) adoption, with 92% of employees regularly using generative AI (GenAI) tools in daily work, according to a Boston Consulting Group (BCG) report released Thursday. BCG based the report on responses from 10,600 workers across 11 countries that show AI usage has turned mainstream. The report said AI adoption has led people to fear job loss in countries with the highest AI usage. The third edition of this annual survey also found that AI now forms part of employees' daily work, with 72% of the respondents using it regularly. The report further noted that the Global South leads in AI adoption, with India and the Middle East showing the highest levels of regular use. The Middle East ranked second in adoption with 87%. However, these high-use countries also report the greatest fear about the impact of automation, far higher than the 41% of all global respondents. "This rapid adoption brings new challenges. Nearly half (48%) of Indian employees fear job displacement over the next decade, highlighting a growing sense of uncertainty. Furthermore, only about one-third of the workforce feels adequately trained to fully leverage AI's potential. As we move from early adoption to delivering real business impact, Indian enterprises must invest in structured training, in-person coaching, and leadership enablement to scale value both responsibly and inclusively," said Nipun Kalra, managing director at cannot expect transformation by simply rolling out GenAI tools, said Sylvain Duranton, global leader of BCG X. BCG's research demonstrates that businesses achieve real returns when they invest in upskilling their workforce, redesign work processes, and align leadership around AI strategy, he added. Elevate your knowledge and leadership skills at a cost cheaper than your daily tea. Punit Goenka reloads Zee with Bullet and OTT focus. Can he beat mighty rivals? 3 critical hurdles in India's quest for rare earth independence HDB Financial may be cheaper than Bajaj Fin, but what about returns? INR1,300 crore loans for INR100? Stamp duty notice to ArcelorMittal, banks. Stock Radar: Titan Company breaks out from 3-month consolidation; check target & stop loss for long positions For risk-takers: More than bullish, be selective; 5 mid-cap stocks from different sectors with an upside potential of up to 38% Multibagger or IBC - Part 12: If transition is successful then there is no limit. But there is a big 'IF' These mid-cap stocks with 'Strong Buy' & 'Buy' recos can rally over 25%, according to analysts

India beats global average in employees using AI: report
India beats global average in employees using AI: report

Time of India

time6 days ago

  • Business
  • Time of India

India beats global average in employees using AI: report

Academy Empower your mind, elevate your skills India leads in artificial intelligence (AI) adoption, with 92% of employees regularly using generative AI (GenAI) tools in daily work, according to a Boston Consulting Group (BCG) report released based the report on responses from 10,600 workers across 11 countries that show AI usage has turned mainstream. The report said AI adoption has led people to fear job loss in countries with the highest AI third edition of this annual survey also found that AI now forms part of employees' daily work, with 72% of the respondents using it regularly. The report further noted that the Global South leads in AI adoption, with India and the Middle East showing the highest levels of regular use. The Middle East ranked second in adoption with 87%. However, these high-use countries also report the greatest fear about the impact of automation, far higher than the 41% of all global respondents."This rapid adoption brings new challenges. Nearly half (48%) of Indian employees fear job displacement over the next decade, highlighting a growing sense of uncertainty. Furthermore, only about one-third of the workforce feels adequately trained to fully leverage AI's potential. As we move from early adoption to delivering real business impact, Indian enterprises must invest in structured training, in-person coaching, and leadership enablement to scale value both responsibly and inclusively," said Nipun Kalra, managing director at cannot expect transformation by simply rolling out GenAI tools, said Sylvain Duranton, global leader of BCG X. BCG's research demonstrates that businesses achieve real returns when they invest in upskilling their workforce, redesign work processes, and align leadership around AI strategy, he added.

The AI mistake companies are making — and how they can fix it, according to a BCG tech leader
The AI mistake companies are making — and how they can fix it, according to a BCG tech leader

Business Insider

time11-05-2025

  • Business
  • Business Insider

The AI mistake companies are making — and how they can fix it, according to a BCG tech leader

Like a first date that's gotten awkward, some companies struggling to win at artificial intelligence might be trying too hard. They might take on too many projects or fail to understand that AI windfalls often come from rewiring how people work, not from "super-cool" AI engines or large-language models, said Sylvain Duranton, global leader of BCG X, the tech build and design division of Boston Consulting Group. Those types of missteps can balloon into big-time frustrations for business leaders, he told Business Insider. Duranton said that if CEOs' big question around AI in 2024 was which model to use, their ask in 2025 is "Where's my money?" Indeed, he said, there are often challenges around implementing broad use of AI. "Scaling this thing from a tech standpoint — it is hard," Duranton said. To help companies salvage their AI efforts, he said, his "golden rule" is that organizations allocate about 10% of their effort and money to the algorithms — to build AI engines or train LLMs. Another 20% should be reserved for data and technology. Essentially, that's to make the AI work in a company's tech environment, Duranton said. The bulk of the effort — the remaining 70% — should go to changing the way people work, he said. "Assuming you have a technology that can scale, you need to bring that into the hands of the people. It's a massive change effort," said Duranton, who's based in the company's Paris office and oversees BCG X's global army of nearly 3,000 technologists, scientists, programmers, engineers, and others. Some companies are struggling Companies' frustration is real. In the final months of 2024, BCG surveyed some 1,800 C-suite execs from big companies in nearly 20 countries and found that while 75% of respondents ranked AI among their top-three priorities, only 25% reported seeing "significant value" from the technology. To find more value, Duranton recommends that companies not try to do everything all at once. He said the scope of change that companies need likely can't be achieved with tens or hundreds of use cases. "That's not the plan. The plan is to focus on a very few things, and the things that matter," he said. Duranton said companies sometimes also look to "incremental initiatives." He said he thinks that's often a mistake. Instead, he said, companies should home in on a few "quintessential" things. For a retailer, Duranton said, this might be using AI to ensure a brick-and-mortar store has the perfect product mix for that location to better withstand competitors nearby and online. Retail CEOs understand the stakes, Duranton said. They'll often tell him something like, "I know that if I don't do that better than others, I'm cooked," he said. Duranton said another imperative for a retailer might be to develop an AI agent that can shop for customers — one that's so good that users won't want to switch to a competitor. "With those two things, you have both a strategic agenda and an AI agenda," he said, referring to making sure inventory is dialed and the shopping bot. The trick, then, is to keep the focus on those efforts, Duranton said. "Those quintessentials, that's where you put all your money, all your energy," he said. That's necessary, Duranton said, if companies want to take the 10%, 20%, 70% approach he recommends. AI's Bermuda Triangle He said scaling AI is also often difficult because companies can feel pressure to compromise on expenses, quality of results, or the speed at which they're produced. "You have a sort of Bermuda Triangle, where it is either costly and relevant with a good latency, or you have to compromise on one of the three, and you have to optimize," Duranton said, referring to AI results. He said it's often easy to demonstrate some tech wizardry in a demo. What's difficult, Duranton said, is handling millions of requests every day and producing timely and relevant results. "It's a different ballgame," he said. Ultimately, to succeed with AI, Duranton said, companies will need to bring along people, not just bots. "Invest in change-management, not just technology, and have your fearless and strongest leaders be in charge," he said.

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