Artificial intelligence is transforming India’s workplaces, helping employees complete tasks faster and improve productivity while raising important questions about employment, professional skills and the future of entry-level jobs.
From journalism and business management to law and software development, AI tools are increasingly being used to research information, translate content, analyse data, organise documents, prepare drafts and process large volumes of material. By automating repetitive tasks, the technology is allowing professionals to devote more time to analysis, problem-solving and decision-making.
However, its growing use also highlights the need for human oversight, as inaccurate information and errors can undermine the quality of the final output. The shift is particularly significant for young professionals entering the workforce. Tasks traditionally assigned to junior employees, including basic research, document preparation, data processing and initial drafting, can increasingly be performed with the assistance of AI, dw.com reports.
This is changing how companies organise teams, allocate responsibilities and assess the capabilities expected of new recruits. AI adoption among younger Indians is already widespread. A Deloitte survey cited in the source report found that 93 percent of Generation Z respondents and 95 percent of millennial respondents used AI in their day-to-day work
An Emeritus survey found that 82 percent of respondents aged 15 to 28 used AI tools at least weekly to learn or develop new skills. The findings point to the growing role of AI not only in professional tasks but also in learning and skills development. Employers are increasingly looking for workers who can use AI effectively while demonstrating critical thinking, sound judgement and the ability to verify information.
Rather than relying solely on technical knowledge or the ability to complete routine assignments, employees are expected to assess AI-generated results, identify errors, apply professional expertise and turn information into practical solutions. This transition is also influencing recruitment and workforce planning.
AI can allow smaller teams to handle workloads that previously required more employees, particularly in areas involving routine writing, research, data analysis and administrative support. While this can improve efficiency, it may also reduce demand for some traditional junior-level tasks and make it more difficult for newcomers to gain experience through work that was once an important entry point into a profession.
A 2025 report by NITI Aayog, citing data from the Center of Advanced Study in India, said more than 60 percent of formal-sector jobs could be susceptible to automation by 2030, particularly in information technology and business-process services. The report also warned of slower hiring for entry-level software engineers and identified junior quality-assurance and Level 1 support roles as vulnerable.
The implications extend beyond the technology industry. In journalism, AI can accelerate research and translation, but it cannot remove the need for accurate reporting and verification. In law, it can help organise case documents and prepare preliminary drafts, while legal analysis and responsibility for the work remain critical. In business, AI can streamline data processing and presentations, but its conclusions still require scrutiny and an understanding of the commercial context.
India’s technology sector is also integrating AI more deeply into its operations. Tata Consultancy Services said in its 2025-26 annual report that it had expanded its “Human+AI” operating model and was embedding AI across services and software development. In software engineering, the growing use of AI-generated code is shifting part of the workload towards testing.