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AI is creating more jobs than it cuts in India
The story of 2026 has been AI coming for jobs. A new Nomura study of Asia complicates it: in India, the hiring driven by AI is running well ahead of the firing, at least for now. India is the world's back office, and that makes it "ground zero" for measuring what AI does to work. Nomura economists Sonal Varma and Si Ying Toh set out the case in a report covered by Bloomberg. Its sheer scale means it feels the "largest absolute impact" across layoffs, hiring freezes and recruitment. And the recruitment is winning. In India, the bank counted 83,100 AI-related hires between 2022 and this month, against 31,921 layoffs and attrition, more than two hires for every job lost. Across Asia the gap is wider still: 130,758 AI-related jobs added, over 90% of them in technology, versus 60,654 lost, around 60% of those in financial services, Business Today reported. The catch beneath the headline The finding, the economists wrote, "runs counter to the narrative of massive job losses due to growing AI adoption". At least in the early stages, job creation is more than offsetting displacement. They see the same pattern in China and in the Philippines, where outsourcing anchors the labour market. But the net number hides a harsh swap. The people let go are mostly support teams replaced by chatbots. The people hired are mostly IT-services graduates that firms credit directly to AI demand. "Since displaced workers rarely transition to AI engineering roles," the economists warned, "the aggregates do mask distributional pain." A two-tier market That is the real shift. In India and Korea, AI is carving a two-tier labour market, thinning demand for entry-level workers while lifting it for experienced staff who grasp the business. The junior rung, long the on-ramp into India's IT industry, is the one being pulled away. It is a more hopeful reading than the white-collar cuts landing elsewhere, and it arrives as money keeps pouring into India's AI build-out. Optimists such as Nvidia's Jensen Huang have dismissed the jobs-doom talk for a while. The Nomura data hands them a number to point to. The caveats are real. The study rests on 69 anecdotes drawn from news reports, not payroll records, in a labour market Nomura calls fragmented. It is a snapshot of a fast-moving early phase, not a verdict. For now, in the one country watching this most closely, AI is adding more jobs than it takes. Whether that holds is the question India cannot yet answer.
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AI-linked hiring in India outpaces job losses by over 51,000: Nomura
Artificial intelligence is creating more jobs than it is eliminating in India. This technology has resulted in a net positive employment impact for the nation. However, AI is disrupting traditional roles and reducing demand for entry-level workers. Companies are showing weaker demand for junior employees while senior roles remain stronger. New Delhi: Artificial intelligence (AI) is creating more jobs than it is eliminating in India, with AI-related hiring reaching 83,100 compared with 31,921 documented layoffs and attrition, according to a Nomura report. The findings indicate a net positive employment impact of AI in India so far, even as the technology disrupts traditional roles and reduces demand for entry-level workers. In its Asia Economic Monthly report, Nomura said India was experiencing the largest absolute impact from AI among the Asian economies covered by its analysis, both in terms of documented layoffs and hiring. The report said India's large population and its position as a global back-office hub have made the country a key market for assessing AI's impact on employment. "We find that India is experiencing the largest absolute impact from AI across both documented layoffs/hiring freezes and AI hiring," Nomura said, adding that "so far, the net impact is also positive for India." Nomura's data showed that India accounted for 83,100 of the roughly 1.31 lakh AI-related jobs created across the Asian economies in its database. In comparison, it identified 31,921 AI-related layoffs and attrition in India, the highest among the countries surveyed. While overall hiring has exceeded job losses, the gains have not been evenly distributed across workers. Nomura noted AI was creating a two-tiered labour market, with companies showing weaker demand for entry-level employees while demand for experienced and senior workers remained relatively stronger. Citing an ICRIER survey of 651 firms in India's IT sector, the report said 55 per cent of companies reported a decline in entry-level hiring, compared with 25 per cent reporting a decline in mid-level hiring and 14 per cent in senior-level recruitment. The shift comes as companies increasingly automate routine work typically handled by junior employees. Nomura identified banking back-office operations, customer service and junior technical roles such as quality assurance testing and coding among the jobs being displaced by AI. The impact is also showing up through slower recruitment rather than outright layoffs. Nomura cited staffing firm Xpheno's estimate that net hiring by Indian IT companies fell to 140,000 in FY26 from 600,000 in FY22 as companies reduced campus recruitment instead of terminating existing employees. At the same time, most new AI-related jobs remain concentrated in technology. Nomura said more than 90 per cent of AI-related job creation in its Asian sample came from the technology sector, while hiring in India was mainly for AI data annotation and linguistics work. Nomura said the early evidence runs counter to fears that AI adoption would result primarily in large-scale job destruction, but cautioned that the technology was still at an early stage and its full labour-market impact could take years to emerge. "We are positively surprised by our aggregate result showing that AI has been a net positive for jobs," the report said, while noting that there were "many disruptions beneath the surface."
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A Nomura report reveals AI-related hiring in India reached 83,100 positions compared to 31,921 job losses, marking a net positive employment impact. However, the data exposes a harsh swap: entry-level roles are vanishing while experienced AI-skilled workers face surging demand, creating a two-tier labor market that threatens traditional career pathways.

Artificial intelligence is creating more AI jobs in India than it eliminates, according to a new Nomura report
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. The analysis by Nomura economists Sonal Varma and Si Ying Toh documented 83,100 AI-related hiring positions between 2022 and early 2025, compared to 31,921 layoffs and attrition—more than two hires for every job lost1
. This net positive employment impact of over 51,000 positions challenges widespread fears about mass unemployment driven by AI adoption. India's position as the world's back-office hub makes it "ground zero" for measuring AI's impact on work, with the country experiencing the largest absolute impact across both documented layoffs and AI-linked hiring in India among Asian economies1
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.Across Asia, the pattern strengthens further. The Nomura report identified 130,758 AI-related jobs added region-wide, with over 90% concentrated in technology sectors
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. This compares against 60,654 positions lost, approximately 60% of those in financial services1
. In India specifically, most new AI job creation involves data annotation and linguistics work2
. The economists noted this finding "runs counter to the narrative of massive job losses due to growing AI adoption," with similar patterns emerging in China and the Philippines where outsourcing anchors labor markets1
. Optimists like Nvidia's Jensen Huang have dismissed jobs-doom predictions, and the Nomura data provides concrete numbers supporting that perspective1
.Beneath the positive headline numbers lies a harsh swap reshaping India's workforce. The people losing positions are primarily support teams in customer service and back-office operations replaced by chatbots, while those hired are mostly IT-services graduates that firms credit directly to AI demand
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. "Since displaced workers rarely transition to AI engineering roles," the economists warned, "the aggregates do mask distributional pain"1
. This creates a two-tier labor market where AI is thinning demand for entry-level workers while lifting it for experienced AI-skilled workers who grasp business contexts1
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. An ICRIER survey of 651 firms in India's IT sector revealed 55% of companies reported declining entry-level roles, compared to just 25% reporting declines in mid-level hiring and 14% in senior-level recruitment2
.Related Stories
The junior rung—long the on-ramp into India's IT industry—is being pulled away as companies increasingly automate routine work
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. Banking back-office operations, customer service positions, and junior technical roles such as quality assurance testing and coding are among the jobs being displaced2
. The impact manifests through slower recruitment rather than outright layoffs. Staffing firm Xpheno estimates net hiring by Indian IT companies fell to 140,000 in FY26 from 600,000 in FY22 as companies reduced campus recruitment instead of terminating existing employees2
. This shift threatens traditional career pathways for graduates entering the workforce.The Nomura report carries important limitations. The study rests on 69 anecdotes drawn from news reports rather than comprehensive payroll records in what Nomura describes as a fragmented labor market
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. It represents a snapshot of a fast-moving early phase, not a definitive verdict on AI's long-term employment impact1
. "We are positively surprised by our aggregate result showing that AI has been a net positive for jobs," the report stated, while cautioning that "there are many disruptions beneath the surface"2
. The technology remains at an early stage, and its full labor-market impact could take years to emerge2
. For now, in the country watching this transformation most closely, AI job creation exceeds destruction. Whether that balance holds as AI adoption accelerates remains the critical question India cannot yet answer1
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