The conversation around Artificial Intelligence often sparks fears of mass unemployment. But for Indian workplaces, the reality is proving to be more nuanced. Instead of outright replacing jobs, AI is starting to reallocate tasks.
From Job Loss to Task Automation
The prevailing narrative
is shifting from AI causing job losses to AI handling specific tasks within a job. Think of a financial analyst. Their role involves gathering data, building models, and providing strategic advice. AI can automate the data gathering and initial analysis far more quickly than a human can. This doesn't make the analyst redundant; it frees them up to focus on the higher-value tasks of interpretation, strategic thinking, and communicating insights. This pattern is repeating across various sectors. Rather than eliminating occupations entirely, AI is taking over the repetitive, rule-based components of many roles, leading to a fundamental redesign of jobs.
Which Tasks Are Being Reallocated?
In India, this trend is prominent in the IT and Business Process Outsourcing (BPO) sectors, which have long been engines of employment for the urban middle class. Tasks like routine coding, software testing, first-level customer support queries, and processing invoices are increasingly being automated. For example, AI-powered chatbots now handle a large volume of standard customer questions, escalating only the complex cases to human agents. In marketing, AI tools generate initial campaign ideas and analyse customer data, while in HR, they screen resumes and schedule interviews. This automation of routine work is especially affecting entry-level roles, which have traditionally been a training ground for fresh graduates to learn the ropes through repetitive tasks.
The Rise of the 'Human in the Loop'
As AI takes over routine work, new responsibilities are emerging for employees. The focus is shifting towards roles where human judgment is essential. This is often described as a 'human-in-the-loop' model, where workers collaborate with AI systems. Their new tasks include prompting generative AI to produce better outputs, verifying the accuracy of AI-generated content, editing its work, and handling the creative and empathetic aspects of a job that machines cannot replicate. For instance, while AI can draft a legal document, a lawyer is still needed to check it for nuance and legal standing. This elevates the human role from a doer of tasks to a strategic overseer and decision maker.
A Growing Demand for New Skills
This transformation makes upskilling and reskilling critical for the Indian workforce. Industry body NASSCOM highlights a significant gap between the demand for AI skilled professionals and the available supply. The most sought after skills are no longer just about technical proficiency. Employers are prioritising analytical thinking, creativity, leadership, and AI literacy. Workers will need to learn how to effectively use AI tools within their specific fields. A report from IIT Madras emphasises that the impact of AI will not be uniform, affecting workers differently based on their experience and the size of their organisation, with a particular risk for junior employees whose learning pathways are changing. Prime Minister Narendra Modi has even announced plans to train millions of young Indians in AI skills, signalling its national importance.
How Indian Companies Are Adapting
Indian companies, from large enterprises to small and medium and businesses (SMEs), are increasingly adopting AI not just to cut costs but to enhance productivity and gain a competitive edge. Many are moving towards a skills based hiring approach, where proven abilities and certifications in AI are valued more than traditional degrees. However, the adoption is uneven. Large firms have the resources for custom AI solutions, while SMEs might rely on more accessible tools. The goal for many businesses is not to reduce their workforce but to empower it. By automating mundane processes, companies aim to free up their employees to focus on innovation, strategy, and complex problem solving.
