For the first time in many years, Indian IT stocks are making investors uneasy — not because they are collapsing, but because they are no longer easy to understand.

Over the last 12 to 18 months, most large Indian IT stocks have corrected anywhere between 30–40%. That alone isn’t unusual. What is different this time is the reason people are uncomfortable. The fear isn’t about demand drying up or balance sheets breaking. It’s about something deeper: whether artificial intelligence quietly changes the role Indian IT companies play in the global technology ecosystem.

Everyone seems to have an opinion. Some believe AI will hollow out the traditional services model. Others argue Indian IT has seen disruptions before and will adapt again. Both arguments sound reasonable — which is exactly why the truth sits somewhere in the middle, and why it feels uncomfortable.

Indian IT has lived through many “end of the road” moments — Y2K, offshoring fears, cloud computing, automation. Each time, the sector adjusted and moved forward.

So why does the AI debate around Indian IT stocks feel different?

Because this time, AI doesn’t just change how work is done. It challenges the assumption that has driven Indian IT valuations for decades — that growth will be linear, predictable, and people-driven.

When software development, testing, and maintenance start benefiting from massive productivity gains, revenue growth becomes harder to forecast. And when predictability goes away, markets react by compressing valuations, even if the underlying business remains profitable.

That’s the key shift investors are struggling with.

This discomfort was articulated sharply by Ramesh Damani, who recently remarked that while Indian IT companies will continue to exist, their era of unquestioned dominance may be behind them.

His comparison between global AI companies with a few thousand employees and Indian IT firms employing over a million people wasn’t about job losses. It was about productivity and value creation. For decades, Indian IT benefited from scale and predictability. AI compresses that advantage.

Damani’s point isn’t that Indian IT stocks are going to zero. It’s that the premium multiples investors were willing to pay for certainty may not return easily. The business survives — but the market’s affection fades.

That distinction matters more than most people realise.

On the other side of the debate is Nandan Nilekani, who takes a far more constructive view of AI’s impact on Indian IT companies.

His argument is simple and practical. AI tools may be powerful, but deploying them inside large enterprises is hard. Global corporations have trillions of dollars invested in legacy systems, regulatory frameworks, and operational processes. You can’t just drop an AI model into that environment and expect transformation.

This gap — between what AI can do and what enterprises can realistically implement — is exactly where Indian IT companies operate. Integrating AI into messy, real-world systems is not glamorous work, but it is necessary work. And it is work enterprises are happy to outsource.

From this perspective, AI doesn’t reduce demand for Indian IT services. It changes the nature of that demand.

Here’s where both views meet.

AI is not an existential threat to Indian IT companies. Revenues won’t disappear overnight. Clients won’t walk away en masse. Cash flows will remain strong, and balance sheets will stay healthy.

What AI does threaten is certainty.

Growth will likely be slower and less linear. Margins may fluctuate as companies reinvest heavily in reskilling and new capabilities. The old model of steady headcount expansion translating into steady earnings growth becomes harder to rely on.

Markets don’t punish businesses for being relevant. They punish them when outcomes become harder to predict. That is what has happened to Indian IT stocks over the last year.

After a 30–40% correction, it’s only natural for investors to ask whether this is the right phase to start adding Indian IT stocks through SIPs.

For long-term investors, SIPs actually fit this moment well. There is a fair amount of uncertainty around how AI will play out, but the underlying fundamentals of large IT companies remain intact. A SIP allows investors to build exposure gradually, without having to guess whether AI optimism or fear is at its peak at any given point.

That said, the approach matters. Exposure is best taken through diversified mutual funds. If one chooses a concentrated IT-only fund, it’s prudent to keep allocation capped at around 7% of the portfolio, and preferably for a limited 8–12 month period. In the current environment, Indian IT stocks work best as a stabilising allocation — not as the primary engine of portfolio growth.

For those investing directly, buying Indian IT stocks on dips can still be a reasonable strategy — with restraint.

• Accumulating large, high-quality IT companies during broad market sell-offs

• Scaling in gradually rather than committing capital in one go

• Focusing on companies with strong cash flows and client stickiness

• Chasing AI-themed rallies

• Paying premium valuations for narrative-driven stories

• Expecting mid-cap IT stocks to deliver old-style compounding

Indian IT stocks today behave more like mature businesses with volatility, not high-growth disruptors

At the same time, it avoids overexposure to a sector navigating a structural transition. Indian IT stocks no longer need to dominate portfolios to be useful.

The uncomfortable truth about Indian IT stocks is not that they are finished — it’s that they are finished being easy.

AI hasn’t destroyed their relevance. It has changed the terms of engagement. The sector is moving from a phase of effortless compounding to one that rewards patience, moderation, and realistic expectations.

For investors who recognise this shift, Indian IT stocks can still play a valuable role in long-term portfolios. Just not the role they played over the last 20 years.

And that, more than any headline about AI, is what the market is still learning to digest.

Does your portfolio reflect the reality Indian IT stocks are entering — or the version of Indian IT we’ve grown comfortable with over the last two decades?

💬 Share your views in the comments. How are you positioning around Indian IT stocks and AI over the next 6–12 months? Are you adding via SIPs, trimming exposure, or simply staying put?

📩 Write to us at info@wiremeshin.com or subscribe at wiremesh.com to be part of a growing community of investors focused on clarity, discipline, and long-term thinking.

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This article is for informational purposes only and does not constitute investment advice. Investing in shares carries significant risk, including loss of capital, illiquidity, and valuation uncertainty. Readers are strongly encouraged to consult a SEBI-registered financial adviser before making any investment decisions. The information provided is based on publicly available data and sources believed to be reliable as of the date indicated, but may change without notice.

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