The debate over AI's impact on employment often sparks fears of mass job losses. But a recent white paper from IIT Madras offers a more nuanced view, suggesting AI will not just replace jobs, but fundamentally change what they involve.
From Replacement to Redefinition
The core argument
from the Centre for Responsible AI (CeRAI) at IIT Madras is that we should stop asking 'Will AI take my job?' and start asking 'How will AI change my job?'. The research emphasises that most jobs are a collection of different tasks, and AI is currently best at automating only a portion of them, typically the most repetitive ones. For example, a customer service executive might find AI handling routine password resets, freeing them up to manage more complex and sensitive customer issues. Similarly, a junior accountant may spend less time on manual data entry and more on analysing that data. This shift is less about outright job elimination and more about the augmentation and redefinition of existing roles.
The Challenge for Entry-Level Roles
One of the most significant warnings from the IIT Madras paper concerns entry-level positions. These jobs have traditionally served as a crucial training ground, where newcomers learn the fundamentals of an industry by performing repetitive, process-oriented tasks. As AI increasingly automates this foundational work in sectors like IT, BPO, and finance, the traditional 'apprenticeship' model is at risk. A junior software engineer, for instance, might have historically learned coding intricacies by writing basic code that an AI can now generate instantly. This raises a critical question for companies: if AI handles the basics, how will the next generation of workers build the deep experience and judgment needed for senior roles? The report suggests that organisations must proactively redesign training and career progression pathways.
A New Focus on Human-Centric Skills
As AI takes over routine and predictable work, the value of uniquely human skills will rise. The IIT Madras paper suggests a future where human workers are responsible for tasks requiring critical thinking, judgment, and supervision. Instead of just performing a process, an employee's role might shift to validating the output of an AI, handling escalated cases the AI cannot solve, and evaluating the system's performance. This means skills like data literacy, problem-solving, and the ability to collaborate effectively with AI systems will become paramount. New roles are also emerging, such as AI trainers, conversation designers for chatbots, and AI ethics specialists, which didn't exist a few years ago.
India's 'AI-Cost Geography'
The impact of AI won't be uniform across India. The researchers introduce the concept of 'AI-cost geography', which highlights how the price and accessibility of AI tools will determine their adoption. For example, affordable, task-specific AI for bookkeeping or quality control could be a game changer for Micro, Small and Medium Enterprises (MSMEs), boosting their efficiency. However, more advanced and expensive AI applications, like those in medical diagnostics or complex legal analysis, may remain concentrated in large, well funded urban firms for the time being. This could create an uneven distribution of AI's benefits, affecting formal and informal workers, as well as rural and urban populations, differently. The paper calls for a focus on making affordable and relevant AI tools available more widely to ensure equitable growth.
