AI vs. Humans: The Future of Customer Service Jobs in India

Nobody wants to wait on hold anymore. But can AI truly replace customer care? The Times of India explores this shift in a recent article.

There was a time when calling customer care meant waiting to speak to a person. Today, that experience looks very different. Whether you're tracking a delayed parcel or reporting a failed payment, chances are your first conversation is with a chatbot or an AI-powered voice assistant. Many routine issues are now resolved without a human ever joining the conversation.

For customers, this often means quicker responses and round-the-clock support. For businesses, it promises lower costs and faster service. But the shift goes far beyond convenience. As artificial intelligence takes over repetitive tasks, it is reshaping India's business process outsourcing (BPO) and customer service industry, pushing human agents towards more complex work while raising fresh questions about jobs, skills, and data privacy.

AI is already answering before humans do

The shift to AI-powered customer service is no longer a future prediction; it is already underway. Across industries, customers are increasingly greeted by chatbots or AI-powered voice assistants before they ever reach a human agent. Today, AI can direct customers to the right department, create support tickets, summarise previous interactions, translate conversations across multiple languages, and complete post-call documentation, automating many repetitive tasks that once required human agents.

Data scientist Vishnu Prasad Sharma explains that AI decides whether to continue a conversation or involve a human based on two factors: whether the LLM is confident enough in its answer given the data it has retrieved, and whether the conversation itself warrants a human. Chatbots use intent recognition and retrieve relevant company documents or past interactions before generating a response.

The pace of adoption is accelerating. According to Gartner, 85% of customer service leaders are either exploring, piloting, or deploying AI chatbots, while 71% of customer relationship management leaders plan to increase investments in AI. Gartner also estimates that by 2029, AI could autonomously resolve nearly 80% of common customer service issues.

Yet automation has not eliminated the need for people. Instead, it has shifted human agents towards handling the cases AI cannot resolve—complex issues that require judgement, problem-solving, or empathy. Delhi-based PR professional Mohit Kumar says he usually prefers AI-powered support for simple requests, but when a conversation becomes more detailed, talking to a person still makes all the difference.

The biggest shift isn't fewer calls — it's different calls

The biggest change in customer service may not be the number of calls being answered, but the kind of calls that reach human agents. Tasks that once occupied a large part of a customer service representative's day—such as answering FAQs, processing refunds, tracking orders, or helping customers reset passwords—are increasingly being handled by AI-powered systems. What reaches a human agent today is often more complex, involving frustrated customers who expect someone to listen, understand, and make a judgement call.

A Harvard Business Review study found that customers who had positive emotional experiences with a company were 3.5 times more likely to make another purchase and five times more likely to recommend the business to others. While AI can deliver speed and consistency, customer loyalty is often built through empathy, active listening, and personalised support—qualities that remain difficult to replicate fully through automation.

A former customer executive at a fintech company noted that customer expectations have changed, with more people now preferring AI-powered chatbots for simple queries. However, for complex issues, sensitive financial matters, or personalised guidance, customers still prefer speaking to a human. The challenge is not always whether customers speak to AI or a human, but whether someone takes ownership of the problem.

India's BPO industry is standing at a turning point

For decades, India has been the world's preferred destination for customer support and BPO services. Strong English-language skills, a large talent pool, and competitive operating costs helped build an industry that today employs millions. According to industry estimates, the BPO segment alone employs around 1.65 million people in voice support, data processing, and administrative roles.

That model is beginning to evolve. As businesses increasingly deploy AI-powered chatbots and virtual assistants to handle routine customer interactions, hiring across parts of the industry has started to slow. Companies are experimenting with AI agents that can answer common queries, while customer service teams are being redesigned around more specialised roles. Instead of recruiting large numbers of agents for repetitive voice processes, organisations are placing greater emphasis on employees who can resolve complex issues, supervise AI systems, and deliver higher-value customer experiences.

The shift does not necessarily point to the end of India's BPO industry. Rather, it signals a transition in the kind of work the sector will demand. For a workforce that has long relied on communication skills and process efficiency, adaptability, digital literacy, and the ability to work alongside AI are becoming equally important.

New skills are becoming as important as communication skills

For years, success in customer service depended largely on clear communication, patience, product knowledge, and the ability to follow well-defined processes. As AI becomes part of everyday operations, those expectations are expanding. Agents are increasingly expected to work with AI-powered tools, verify AI-generated information, handle escalated cases, and make decisions when automation falls short.

Rather than spending time on repetitive tasks, many are focusing on problem-solving, critical thinking, quality assurance, and delivering personalised support during complex interactions. The shift is also creating new responsibilities within customer service teams, such as monitoring automated interactions, reviewing AI-assisted responses, identifying errors, and ensuring quality and compliance standards are met.

Communication remains essential, but today it sits alongside digital literacy, adaptability, and the ability to collaborate with AI. The headset is not disappearing, but the work behind it is changing.

AI still has limits

Despite rapid advances, AI is not without its shortcomings. While it performs well in handling structured and repetitive queries, customer service becomes far more challenging when conversations involve ambiguity, emotion, or situations that fall outside predefined patterns. AI systems can generate incorrect or misleading responses (hallucinations), misunderstand context, struggle with humour or sarcasm, and find it difficult to respond appropriately when customers are distressed.

Language remains another challenge. India is home to hundreds of languages, dialects, and accents, making speech recognition a complex task. Additionally, privacy risks are a concern, as people often end up sharing far more personal information with AI chatbots than they realise. According to Probir Roy Chowdhury, Partner at JSA Advocates and Solicitors, primary accountability usually sits with the company that deploys the chatbot.

Sharma says AI still struggles when conversations require context beyond the information available to the chatbot, explaining why human agents remain essential for complex or sensitive conversations.

So...will AI replace call centres?

For years, customer service followed a simple model: a customer called, a human answered, and technology worked quietly in the background. That balance is now shifting. AI is increasingly becoming the first point of contact, handling routine queries, sorting requests, and resolving straightforward issues before they ever reach a person.

Human agents are stepping in only when conversations demand judgement, empathy, or problem-solving beyond what algorithms can offer. That does not necessarily mean call centres are disappearing. Instead, the nature of the work is changing. As AI takes over repetitive, rules-based tasks, human agents are handling a smaller but more complex share of interactions.

This also means companies will need to invest in employee upskilling alongside the responsible deployment of AI, ensuring that people and technology evolve together. The challenge is no longer choosing between people and machines, but deciding how the two can work together effectively. The future of customer service is therefore unlikely to be defined by human versus AI. Instead, it is increasingly becoming AI-first, with humans providing the expertise, empathy, and oversight that technology still cannot fully replicate.