AI/ML professionals in India are experiencing heightened layoff anxiety amid a wave of over 92,000 tech job cuts recorded in the first five months of 2026.
A BW Businessworld survey shows AI and machine-learning staff in India increasingly fear job loss, while engineers feel comparatively secure.The Economic Times reports more than 92,000 technology-sector layoffs across India and multinational firms between January and May 2026, attributing the wave to accelerated AI adoption.
A survey released in early August 2026 found that 68 percent of AI/ML workers in India perceive a high risk of layoffs, compared with 42 percent of software engineers who consider their positions relatively safe [1]. The same period saw 92,000 technology-related dismissals recorded across Indian offices of global firms such as Meta and Microsoft, representing the largest quarterly reduction since 2020 [3].
The findings were gathered by BW Businessworld in collaboration with a leading Indian HR analytics firm, which polled 2,300 technology employees nationwide between June 1 and June 20 2026 [1]. Respondents included AI researchers, data scientists, and machine-learning engineers employed by domestic startups, Indian subsidiaries of multinational corporations, and outsourcing service providers [1]. The layoff figures were compiled from company filings, press releases, and government labor data released by the Ministry of Labor and Employment for the January-May 2026 period [3].
Survey Reveals Heightened Layoff Concerns Among AI/ML Professionals
The BW Businessworld survey asked participants to rate their perceived risk of redundancy on a five-point scale. AI/ML specialists assigned an average risk score of 4.2, the highest among all tech functions surveyed [1]. By contrast, traditional software engineers reported an average score of 2.8, indicating lower perceived vulnerability [1].
Respondents cited rapid automation of routine coding tasks, the deployment of large-language models for code generation, and corporate cost-cutting initiatives as primary drivers of their anxiety [1]. Approximately 54 percent indicated that their companies had introduced AI-driven tools that reduced the need for manual model tuning or data preprocessing [1].
Survey Reveals Heightened Layoff Concerns Among AI/ML Professionals The BW Businessworld survey asked participants to rate their perceived risk of redundancy on a five-point scale.
The survey also captured sentiment about future employability. Only 31 percent of AI/ML workers believed they could transition to a new role within six months, whereas 58 percent of engineers expressed confidence in finding comparable positions [1].
Scale of Tech Layoffs in Early 2026
AI/ML Professionals in India Report Rising Layoff Anxiety as Tech Sector Cuts Over 92,000 Jobs in First Five Months of 2026
The Economic Times reported that 92,000 technology employees were laid off in India during the first five months of 2026, a 27 percent increase over the same period in 2025 [3]. The layoffs spanned large multinational corporations, including Meta, which cut 12,500 Indian staff, and Microsoft, which reduced its Indian workforce by 9,800 [3].
Industry analysts attribute the surge to accelerated AI integration that enables firms to consolidate development functions and reduce headcount [3]. Companies cited “greater efficiency through generative AI” and “the need to align cost structures with AI-driven productivity gains” as official reasons for the reductions [3].
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The Economic Times data show that the majority of affected workers were mid-level developers and data analysts, with senior researchers and product managers experiencing lower turnover rates [3]. The layoffs were concentrated in Bengaluru, Hyderabad, and Pune, the three largest technology hubs in India [3].
Impact on Indian Workforce and Prospective Students
The combined survey and layoff data suggest immediate implications for current employees, educators, and students. AI/ML practitioners facing heightened layoff risk may need to diversify skill sets, focusing on AI governance, model interpretability, and domain-specific applications that are less amenable to full automation [1].
Higher education institutions are responding by expanding curricula that blend technical AI training with soft-skill development, such as project management and ethical AI oversight [2]. The American Bazaar article notes that Indian tech workers stationed in the United States are also monitoring the Indian market for signs of “toxic work culture” and job insecurity, prompting some to consider relocation or remote work arrangements [2].
Higher education institutions are responding by expanding curricula that blend technical AI training with soft-skill development, such as project management and ethical AI oversight [2].
For students entering the technology sector, the data underscore the importance of adaptability. Career advisers are emphasizing internships that expose learners to AI-augmented workflows, as well as certifications in emerging tools like large-language-model APIs [2].
Employers are reportedly increasing internal upskilling programs to retain talent, with 38 percent of surveyed firms planning AI-focused training for at-risk employees within the next quarter [1]. However, the rapid pace of AI deployment suggests that workers who do not acquire complementary competencies may encounter reduced job stability in the near term [3].
Key Facts
What: AI/ML workers in India report rising layoff fears as the sector records over 92,000 job cuts in the first five months of 2026.
When: Survey conducted June 1-20 2026; layoffs reported for January-May 2026.
Impact: Current employees face heightened job insecurity; students and educators must prioritize AI-adjacent skill development to maintain employability.
Impact: Current employees face heightened job insecurity; students and educators must prioritize AI-adjacent skill development to maintain employability.
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