How AI is reshaping IT jobs in India, not replacing them

AI is clearly disrupting the IT industry, but that doesn’t automatically mean a collapse in tech jobs. Two industry leaders argue that for India, artificial intelligence is more likely to reshape roles than destroy them—and that the country’s deep pool of tech talent is actually a major advantage in this transition.

AI demand dip or long-term opportunity?

The recent reaction to global IT majors’ earnings has raised concerns that demand for traditional tech services is weakening. However, experts say the picture for India is more nuanced.

On one hand, demand for classic IT services and legacy tech stacks has slowed, and hiring in these areas has dropped—by as much as 30–40% in some IT services firms. On the other hand, AI and AI-related skills are seeing strong investment and growing demand.

India’s big strength is its talent base: roughly 16% of the world’s AI experts are Indian. That gives the country a strong foundation to move up the value chain as AI adoption accelerates.

Four big shifts in the IT services workforce

Within IT services, the disruption is not just about AI tools—it’s about how companies structure their entire workforce. Four major shifts are underway:

First, companies are moving from volume to value. Instead of winning by deploying large armies of engineers, firms are focusing on higher-value, outcome-based work.

Second, the emphasis is shifting from headcount growth to productivity growth. AI tools can automate repetitive tasks, so companies are looking to do more with fewer people while still growing revenue.

Third, generic skills are giving way to specialized skills. Broad, undifferentiated coding skills are less in demand, while expertise in AI, data, cloud, cybersecurity, and domain-specific tech (like fintech or healthtech) is becoming more valuable.

Finally, the classic pyramid-shaped workforce is turning into more of a diamond. Instead of a huge base of junior engineers and a narrow top of senior experts, companies are building teams with a stronger mid-layer of specialized, experienced talent.

From IT services to tech everywhere

For decades, most technology hiring in India happened inside IT services companies. That’s now changing.

While large IT services firms may be hiring fewer people in traditional roles, other types of employers are stepping up. Global Capability Centers (GCCs) are expanding their tech teams in India, and non-tech sectors are becoming big tech employers too.

Banks, healthcare providers, logistics companies, and e-commerce players are all investing heavily in technology and AI. As a result, tech skills are spreading across the entire economy, not just concentrated in IT services.

When you look at the full picture—not just IT services—experts expect hiring volumes to start recovering over the next 6–12 months, especially in AI-related and specialized roles.

AI replaces tasks, not entire jobs

One crucial distinction is between jobs and tasks. A job is made up of many tasks, and AI typically automates or augments some of those tasks—not the entire job at once.

Imagine a role that involves 10 different tasks. If AI takes over 2 of them, productivity goes up but the job still exists. If AI handles 5, the company may need fewer people in that role. If AI changes 8 out of 10 tasks, the nature of the job itself transforms.

This is why some roles are being redesigned rather than eliminated. For example, routine work like basic coding, testing, and debugging is increasingly handled by AI tools. But that doesn’t mean engineers are no longer needed—it means their focus shifts.

Engineers are expected to become solution engineers: professionals who understand business problems, design end-to-end solutions, orchestrate tools (including AI), and work across multiple disciplines. AI becomes a powerful assistant, not a full replacement.

If you’re interested in how this pattern shows up across different roles, it’s worth looking at analyses like the Deloitte report on jobs most exposed to AI disruption, which reaches similar conclusions about task-level change.

Will entry-level opportunities disappear?

One concern is that if AI can do junior-level work more efficiently, companies might stop hiring freshers, cutting off the pipeline of future talent.

Experts push back on this idea. They argue that hiring will continue on a net basis, but what entry-level engineers do will change. Instead of spending most of their time on repetitive coding and testing, they’ll work with AI tools, focus on problem-solving, system design, integration, and domain understanding.

Some mid-level roles may be more vulnerable than entry-level ones, especially where responsibilities are heavily task-based and easily automated. But overall, the expectation is that the volume of hiring will remain positive over time, with a shift in skills and responsibilities rather than a collapse in demand.

India’s AI edge: affordable excellence

India’s biggest opportunity in AI goes beyond just exporting talent. The country has already moved from exporting people to exporting IT services, and the next step is to export AI-powered products and platforms.

A key advantage is what some call “affordable excellence”: the ability to deliver high-quality, high-tech solutions at relatively low cost. That makes India well-positioned to build AI products and services that are both advanced and accessible.

This isn’t just about corporate profits; it’s also about distributing value more widely. AI in healthcare is a good example. Indian innovators are building AI-enabled diagnostic kits that can run around 20 medical tests in 10 minutes for about ₹100, making quality healthcare more accessible to people in tier-2 and tier-3 cities and rural areas.

In this model, AI is used not only to create economic value but also to spread that value across society—bringing advanced services to people who were previously excluded.

Exporting talent, services, and AI products

When it comes to AI, India doesn’t have to choose between exporting talent, exporting AI-enabled services, or exporting AI products. The realistic answer is “all of the above.”

India continues to be a major source of AI and STEM talent. Around 1.5 million STEM graduates pass out every year, giving the country unmatched scale in engineering education. At the same time, Indian companies are already leaders in providing global IT and AI-enabled services.

The next frontier is building and exporting AI products and platforms—especially those that embody affordable excellence and solve global problems in cost-effective ways. As AI matures, the countries that combine talent, scale, and product innovation will be best placed to benefit.

For a broader perspective on why many analysts now believe an AI-driven “job apocalypse” is unlikely, you can also explore this analysis on why the AI job apocalypse is probably cancelled.

What this means for tech professionals

For IT workers and students in India, the message is clear: AI will change your work, but it doesn’t have to end your career. The focus should be on:

First, building specialized skills in areas like AI, data, cloud, security, and specific industries such as finance or healthcare.

Second, learning to work with AI tools instead of competing with them—using them to automate routine tasks so you can focus on higher-value problem-solving.

Third, staying agile and open to cross-industry opportunities, since tech roles are growing fast in banks, healthcare, logistics, e-commerce, and other sectors.

AI disruption is real, but for India, it looks less like a cliff and more like a curve: a period of adjustment followed by new kinds of growth, powered by one of the world’s largest and most adaptable tech talent pools.