Indian IT Sector Analysis 2026: A Deep Dive into Valuation

If you are tracking Indian technology stocks after the recent sell-off, the central question is no longer whether AI will change the sector. It already is. The bigger question is how much of the current correction is pricing in near-term disruption, and how much long-term opportunity remains underappreciated.

Right now, the sector sits at that exact turning point. The Nifty IT space has gone through a sharp reset, sentiment has weakened, and investors are reassessing both traditional delivery models and future growth visibility. At the same time, the long-term size of the opportunity could become materially larger as enterprise AI adoption moves from pilots to scaled deployments.

Quick Takeaways

The Nifty IT index is down about 25% year to date.
The correction has been driven by Gen AI disruption fears, macro uncertainty, and geopolitical risks.
AI may cause about 2% to 3% annual deflation in traditional IT services revenues for the next couple of years.
Indian IT services could see an incremental AI-led TAM of USD 300-400 billion by 2030.
The current Indian IT services industry size is about USD 280 billion, with Exhibit 2 indicating USD 280-285 billion.
The industry may create 170 million new jobs, while displacing 92 million traditional jobs.
Peak impact is expected during FY26-FY28, with recovery projected from FY28-end or FY29 onward.
Sector view remains Neutral.
Top picks are Persistent Systems, LTM, and TCS.

Best IT Stocks to Buy in India Right Now

The current investment view remains selective, not broad-based.

Even though the overall sector stance is Neutral, a few names continue to stand out on relative positioning, valuation comfort, and their ability to handle the shift towards AI-led delivery models more effectively than peers.

Stock recommendation snapshot

Company	Rating	TP	Upside
TCS	BUY	3,140	32%
Infosys	HOLD	1,400	9%
HCLTech	HOLD	1,500	9%
TechM	BUY	1,650	17%
LTM	BUY	5,200	21%
Coforge	BUY	1,350	16%
Persistent Systems	BUY	5,750	17%
Mphasis	BUY	2,550	20%

The broader sector is still dealing with the effects of the Nifty IT index correction 2026, pressure from Revenue deflation in IT services, and uncertainty around how quickly AI-led demand can offset traditional pricing pressure.

But within that broader correction, certain names are still being viewed more favourably because of stronger positioning, better visibility, or more attractive risk-reward.

What Is Driving the Nifty IT Index Correction 2026?

The recent correction has been sharp and sentiment-heavy. The Nifty IT index has declined around 25% year to date, while both large-cap and midcap IT stocks have corrected meaningfully despite relatively stable operating performance and continued deal wins.

The main trigger is rising concern around the Gen AI impact on Indian IT. Frequent announcements from AI platform companies such as Anthropic, OpenAI, and Palantir have highlighted capabilities that can automate work historically delivered by IT services firms. These include:

Contract review in legal workflows
Software vulnerability detection in cybersecurity
ERP migration acceleration, including ECC to SAP S/4
Legacy code modernisation, including COBOL workloads

This has intensified investor concern that AI could materially reduce human effort requirements across traditional outsourcing. The market has reacted by repricing near-term growth, especially in areas such as coding, application development and maintenance, and legacy modernisation.

Why Is Gen AI Being Treated as a Structural Risk?

The concern is straightforward. Gen AI can significantly improve productivity in software development and maintenance, which may reduce the number of engineers needed for specific tasks. That is why the debate around Revenue deflation in IT services has become central to sector valuations.

Industry commentary suggests traditional services revenues could see roughly 2% to 3% annual deflation over the next couple of years as automation improves delivery efficiency and compresses effort-based pricing models. This directly challenges the traditional FTE-led revenue structure of IT services companies.

That is also why the discussion around Effort-based pricing vs. AI automation matters so much. When AI reduces effort, revenue linked to manpower hours can come under pressure before new AI-led work becomes large enough to offset the decline.

What Does “Deflation without Demand Offset” Mean?

In the near term, productivity gains from AI can reduce revenue growth without an equal increase in fresh demand. Companies may become more efficient, but that does not automatically mean sector revenues rise immediately.

This creates a transitional phase in which efficiency-led compression comes first, followed by the monetisation of new AI opportunities. In other words, the initial phase of Gen AI adoption is deflationary for the sector, even if the longer-term outcome is expansionary.

How Much Are Macro and Global Factors Adding to the Pressure?

AI is not the only reason valuations have derated. External factors have worsened the correction.

Weakness in global technology and SaaS stocks has weighed on sentiment toward Indian IT services companies. Investors have recalibrated valuation expectations amid slower growth and a possible structural shift in enterprise technology spending. This has resulted in a meaningful derating despite resilient balance sheets and strong cash generation.

There is also a geopolitical risk overlay. A prolonged US-Iran conflict could keep the Federal Reserve higher for longer and delay planned rate cuts until 2027. That, in turn, could delay consumer spending and continue to be a risk factor for the sector.

Why the Long-Term Opportunity Still Looks Intact

Indian IT has navigated multiple technology transitions over the years, from ERP implementation to cloud and digital transformation. Each phase created disruption at first, but the industry expanded as enterprise demand evolved.

The current AI shift appears to be another inflexion point rather than an existential threat to the services model. Enterprises adopting AI solutions will still need partners to customise, implement, and manage these technologies within complex business environments. That is where Indian IT services firms remain well placed.

This is a transition, not a breakdown of the services model

The core thesis remains intact because enterprise technology adoption does not end with access to a new platform. Businesses still need execution support to make that technology work at scale.

That includes:

Customisation across business use cases
Enterprise implementation
Ongoing management and support
Alignment with existing systems and operating processes

This is why the long-term opportunity continues to hold up even as the sector faces near-term pressure.

AI platforms are more likely to work alongside IT services firms

A partnership model looks more likely than direct displacement.

Rather than replacing IT services companies, AI platform providers are increasingly expected to rely on them as implementation partners. Enterprise AI deployment still requires integration with legacy systems, data governance frameworks, and enterprise workflows, all areas where IT services firms play a critical role.

This mirrors earlier technology cycles, in which product companies relied heavily on system integrators for enterprise-scale deployments. The same pattern reinforces the continued relevance of IT services players in the AI cycle as well.

What this means for the sector

The near-term disruption is real, but the structural role of IT services firms remains important.

As AI adoption expands, Indian IT companies are well-positioned to participate in the next phase of enterprise technology spending, not on the sidelines. Over time, firms that adapt faster and strengthen their role as transformation and implementation partners could benefit the most.

Does AI Shrink or Expand the Opportunity?

Near term, it can shrink some services. In the medium term, it can materially expand the total market.

Industry estimates indicate AI-led services could create an incremental TAM of USD 300-400 billion by 2030. That is significant when compared with the current Indian IT services industry size of about USD 280 billion, with data showing a USD 280-285 billion Indian IT industry, USD 225 billion exports, and USD 60 billion domestic market.

The same long-term framework also suggests 170 million jobs could be created versus 92 million traditional jobs displaced. So, while certain legacy roles may contract, the broader opportunity can still grow.

AI risk versus opportunity snapshot

Metric	Detail
Global IT industry	USD 1 trillion+
Worldwide IT services	USD 1 trillion+
Indian IT industry	USD 280-285 billion
Indian IT exports	USD 225 billion
Indian IT domestic market	USD 60 billion
AI-led incremental TAM by 2030	USD 300-400 billion
Jobs displaced	92 million
New jobs created	170 million
Peak impact period	FY26-FY28
Recovery phase	FY28-end / FY29 onward
Base-case India impact in at-risk segment	USD 40 billion
Worst-case India impact in the at-risk segment	USD 80-85 billion
Expected annual deflation	2%-3% over 3-4 years

The market data adds another important layer. It says nearly 30% of the IT services industry is at risk of GenAI-led deflation at both the global and India level. Assuming 50% deflation in the base case, the impact at India level would be about USD 40 billion.

In a worst-case scenario involving 100% revenue loss in that segment, the impact could be USD 80-85 billion. Even so, the same framework concludes that the opportunity outweighs the risk over the medium term.

The Two Phases of AI Impact on Indian IT

The sector outlook is best understood in two stages.

Stage 1: Deflationary phase

This is the first and current phase. Automation improves productivity, lowers service effort requirements, and reduces the need for incremental manpower. Revenue compression appears before new demand scales.

This is where AI-led delivery models begin to change how work is priced, staffed, and delivered. Coding, ADM, and testing are among the areas where pressure is most visible.

Stage 2: Expansion phase

In the next phase, enterprises scale AI adoption, transformation spending rises, and higher-value AI services begin offsetting the earlier deflationary pressure. That is where the larger TAM and more specialised work start showing up in revenue growth.

When Can AI-Led Growth Become Meaningful?

The timing is unlikely to be immediate. Gen AI adoption is expected to follow a phased curve.

The likely pattern is:

1 to 2 years of experimentation
pilot programmes
ROI validation
then broader enterprise-wide deployment

That is why the benefits are considered back-end. The sector may go through near-term disruption before entering a stronger growth phase as adoption scales. The available data explicitly mark recovery from FY28-end onward.

How Jobs Are Likely to Shift

The talent mix is expected to move away from legacy roles toward AI-linked jobs.

Fastest declining IT jobs

Front-End Web Developers
QA Testers
IT Support Specialist
Blockchain Developers
Data Annotator
AI Engineer
AI Forensic Analyst
Forward Deployed Engineers
AI leads

New and upcoming IT jobs

Management Commentary That Captures the Current Setup

HCLTech CEO C Vijayakumar says that AI will cause an estimated 2% to 3% annual deflation across services, something the company has already modelled, but it also opens up a large growth opportunity. The same comment adds that AI currently accounts for 4% of business, has grown 20% quarter on quarter, and could reach USD 2.5-3 billion, more than offsetting some of the decline in existing business.

What Accenture’s Q2 Says about Demand

On earnings, Accenture delivered a steady Q2 and gained market share with strong deal momentum. Record bookings came in at USD 22.1 billion.

For Indian IT, the read-through is neutral. The message remains one of gradual recovery, with any major rebound likely to be back-ended, execution-driven, and dependent on AI use cases moving from pilots to enterprise-wide deployment.

IT Services Revenue Growth FY27 and FY28: What Changed

Estimate revisions now factor in 2% to 3% AI-led revenue deflation in both FY27 and FY28, along with updated margin and EPS assumptions.

Change in absolute revenue estimates (USD mn)

Company	FY27 Old	FY27 New	FY27 Change	FY28 Old	FY28 New	FY28 Change
TCS	31,588	31,163	-1%	33,638	32,736	-3%
Infosys	21,220	21,119	0%	22,610	22,085	-2%
HCLTech	15,645	15,564	-1%	16,818	16,576	-1%
TechM	6,831	6,767	-1%	7,312	7,165	-2%
LTM	5,237	5,180	-1%	5,771	5,635	-2%
Coforge	2,117	2,104	-1%	2,360	2,314	-2%
Persistent Systems	1,961	1,910	-3%	2,292	2,202	-4%
Mphasis	1,983	1,928	-3%	2,200	2,095	-5%

Change in revenue growth estimates (%)

Company	FY27 Old	FY27 New	FY28 Old	FY28 New
TCS	5.2	3.8	6.5	5.1
Infosys	5.0	4.5	6.5	4.6
HCLTech	6.5	6.0	7.5	6.5
TechM	6.7	5.7	7.0	5.9
LTM	9.6	8.5	10.2	8.8
Coforge	12.9	12.2	11.5	10.0
Persistent Systems	18.2	15.4	16.9	15.3
Mphasis	12.2	9.5	11.6	9.3

Margin Reset and EPS Revisions

Change in EBIT margin estimates (%)

Company	FY27 Old	FY27 New	FY27 Change (bps)	FY28 Old	FY28 New	FY28 Change (bps)
TCS	25.2	24.9	-28	25.4	25.0	-48
Infosys	21.1	20.6	-50	21.3	20.7	-65
HCLTech	18.5	18.1	-38	18.8	18.4	-43
TechM	14.4	14.0	-40	14.9	14.6	-30
LTM	16.1	15.8	-30	16.3	16.0	-30
Coforge	13.7	13.7	0	14.1	14.1	0
Persistent Systems	16.5	16.2	-30	16.7	16.2	-45
Mphasis	16.0	16.0	0	16.5	16.3	-20

Change in EPS estimates (₹)

Company	FY27 Old	FY27 New	FY27 Change	FY28 Old	FY28 New	FY28 Change
TCS	152	148	-2%	164	157	-4%
Infosys	75	73	-3%	81	77	-5%
HCLTech	75	73	-3%	83	79	-4%
TechM	76	73	-4%	86	83	-4%
LTM	217	212	-3%	246	237	-4%
Coforge	53	53	-1%	62	61	-2%
Persistent Systems	147	141	-4%	175	164	-6%
Mphasis	118	116	-2%	135	128	-5%

Indian IT Stock Valuations after the Reset

This is where the setup becomes interesting. Despite the concern around AI, the current valuation picture is much less stretched than before.

Most IT services stocks are now trading near historically low multiples, and many are at a steep discount to their own 5-year average one-year forward PE. That provides valuation comfort at current levels, even after downward revisions in revenue, EPS, and assigned PE multiples.

Valuation, target price, and upside snapshot

Company	Rating	Old TP	New TP	Old Multiple	New Multiple	CMP	Upside	Current 1Y Fwd PE	5Y Avg 1Y Fwd PE	Discount to 5Y Avg
TCS	BUY	3,780	3,140	23	20	2,377	32%	16	27	-41%
Infosys	HOLD	1,550	1,400	19	18	1,279	9%	18	23	-23%
HCLTech	HOLD	1,650	1,500	20	19	1,381	9%	19	23	-17%
TechM	BUY	2,000	1,650	23	20	1,408	17%	19	28	-30%
LTM	BUY	7,400	5,200	30	22	4,293	21%	20	31	-35%
Coforge	BUY	1,980	1,350	32	22	1,163	16%	22	39	-43%
Persistent Systems	BUY	7,200	5,750	41	35	4,928	17%	35	38	-9%
Mphasis	BUY	3,250	2,550	24	20	2,132	20%	18	27	-31%

Final View on the Sector

The medium-term thesis is more nuanced than the near-term panic suggests. The likely path is front-ended pressure and back-ended opportunity. In the next phase, the market may still grapple with slower growth, delayed AI monetisation, and uncertainty around traditional outsourcing demand. But over time, companies that reposition themselves as AI-led transformation partners may emerge as long-term beneficiaries of a much larger addressable market.

For you as an investor or market watcher, the key takeaway is simple. The reset in Indian IT stock valuations is being driven by fears of revenue deflation in IT services, the shift from Effort-based pricing to AI automation, and the pace of enterprise adoption of AI-led delivery models. Yet the same transition could also open one of the largest growth opportunities the sector has seen in years.|

Read full report here - https://www.icicidirect.com/mailcontent/idirect_itsectorupdate_march26.pdf