{"id":7354,"date":"2026-04-08T10:32:30","date_gmt":"2026-04-08T05:02:30","guid":{"rendered":"https:\/\/maxiomwealth.com\/blog\/?p=7354"},"modified":"2026-04-09T11:22:11","modified_gmt":"2026-04-09T05:52:11","slug":"it-earnings-season-ai-risk-real-story","status":"publish","type":"post","link":"https:\/\/maxiomwealth.com\/blog\/it-earnings-season-ai-risk-real-story\/","title":{"rendered":"IT Earnings Season and Why AI Risk Is the Real Story"},"content":{"rendered":"\n

India’s IT sector contributes roughly 7-8% of the country’s GDP and employs close to 6 million professionals, according to NASSCOM. This week, TCS kicks off the Q4 FY26 earnings season on April 10, with Infosys and Wipro reporting in the days that follow. The market will parse revenue growth and margin numbers with its usual forensic attention, but the real story this earnings season is not about whether TCS beats its revenue estimate by a few basis points. The real story is about AI risk in the IT sector and how rapidly artificial intelligence is reshaping the demand curve for traditional services that powered these companies for two decades. As Warren Buffett has noted, “only when the tide goes out do you discover who’s been swimming naked.” That observation feels especially apt for IT services companies whose moats may be thinner than their balance sheets suggest.<\/p>\n\n\n\n

Where Do India’s Top IT Companies Stand on Financials Today?<\/h2>\n\n\n\n

Before turning to the AI disruption question, it helps to ground the discussion in actual financial data. The trailing twelve-month numbers from company filings paint a picture of an industry that remains profitable but faces a clear divergence in operating performance across the top four names. TCS continues to lead with TTM revenue of Rs 2,60,802 crore, a net profit of Rs 47,963 crore, and an net profit margin of 18.4% that reflects the discipline of a company generating a return on equity of 41.5%. Infosys follows with TTM revenue of Rs 1,73,173 crore, net profit of Rs 28,003 crore, and a 16.2% net margin. These numbers confirm that the sector’s financial foundation remains solid even as the growth outlook evolves.<\/p>\n\n\n\n

The second tier of the top four tells a different story. Wipro’s TTM revenue stands at Rs 90,892 crore with a net profit of Rs 13,332 crore, but its net margin of 14.6% and return on equity of 17.4% trail the leaders significantly. HCL Technologies reports TTM revenue of Rs 1,26,409 crore and net profit of Rs 16,471 crore, with a lower net margin of 13.0% partly explained by its product-heavy revenue mix that carries different cost structures. For any financial advisor assessing IT allocations, these numbers matter because they reveal which companies have the operating leverage to invest in AI capabilities without sacrificing profitability, and which ones face a tighter rope to walk.<\/p>\n\n\n\n

Company<\/th>TTM Revenue (Rs Cr)<\/th>TTM PAT (Rs Cr)<\/th>NPM (%)<\/th>Return on Equity (%)<\/th><\/tr><\/thead>
TCS<\/td>2,60,802<\/td>47,963<\/td>18.4<\/td>41.5<\/td><\/tr>
Infosys<\/td>1,73,173<\/td>28,003<\/td>16.2<\/td>28.8<\/td><\/tr>
HCL Tech<\/td>1,26,409<\/td>16,471<\/td>13.0<\/td>24.0<\/td><\/tr>
Wipro<\/td>90,892<\/td>13,280<\/td>14.6<\/td>17.4<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Source: Company filings, TTM as of latest reported quarter. All figures are from publicly available annual and quarterly results filed with BSE and NSE.<\/p>\n\n\n\n

Why Is AI Disruption a Bigger Concern Than Quarterly Numbers?<\/h2>\n\n\n\n

Quarterly earnings tell you where a company has been, but the AI disruption question tells you where the entire sector is headed. The traditional IT services model, built on billing clients for hours of work by software engineers (the “time and materials” approach that accounts for a large share of industry revenue), is being challenged by AI tools that can automate significant portions of coding, testing, and maintenance tasks. Developer tools from major technology platforms can now generate large portions of boilerplate code, handle routine testing, and accelerate deployment cycles. A financial advisor tracking the IT sector should note that this is not a distant future risk but a present reality playing out across enterprise clients globally.<\/p>\n\n\n\n

The implications for Indian IT companies are serious and multi-layered. If AI tools can do in 30 minutes what a team of five engineers did in a week, the demand for pure-play labour arbitrage, which is the foundation of the Indian IT offshoring model, will structurally decline over the next three to five years. NASSCOM has indicated that AI adoption could meaningfully reduce effort on routine projects by the end of this decade. That translates directly into fewer billable hours for IT services companies unless they pivot their delivery models aggressively toward AI-first approaches. Hence, the management commentary during this earnings season will matter far more than the actual numbers, because investors want to hear specifics about three things: what share of current revenue is at risk from AI automation, what percentage of new deal wins are structured as outcome-based rather than time-and-materials, and how much capital is flowing into proprietary AI tools and platforms.<\/p>\n\n\n\n

How Are the Top IT Companies Positioning Themselves for AI?<\/h2>\n\n\n\n

Not all IT companies face the same degree of AI risk, and the differentiation is becoming clearer with each passing quarter. TCS has invested heavily in its AI platforms and has rolled out training programmes across its global delivery centres, positioning itself to offer AI-augmented services at scale. The company’s ROCE of 64.6% gives it ample room to invest in transformation without straining its balance sheet, which is a genuine competitive advantage when the industry needs to retool rapidly. TCS has the largest revenue base in Indian IT and its management has signalled that AI is being embedded across client engagements rather than treated as a standalone offering.<\/p>\n\n\n\n

Infosys has been arguably the most vocal about its AI pivot, with its Topaz AI platform generating identifiable traction in deal wins during the second half of FY26. The company’s 5 years ROE of 28.8% and a healthy operating margin give it the financial muscle to sustain this investment. Infosys has reported that a significant and growing share of its large deal wins now have an embedded AI component, which suggests the pivot is not just a marketing exercise but is reshaping how contracts are structured and delivered to global enterprise clients.<\/p>\n\n\n\n

HCL Technologies occupies an interesting position because its strong product portfolio (contributing a meaningful portion of revenue) gives it exposure to recurring licence revenue that is less vulnerable to AI-driven labour substitution. In fact, HCL’s product business could benefit from AI integration rather than being disrupted by it, a rare advantage among Indian IT services companies. Wipro remains the most exposed to disruption among the top four, with higher dependence on legacy application maintenance contracts that are the easiest for AI to automate and the lowest operating margin at 14.6% to fund a transformation. The gap between leaders and laggards in AI readiness is not about intentions; it is about whether a company has the financial strength and existing client relationships to invest through the transition.<\/p>\n\n\n\n

What Does the Macro Backdrop Mean for IT Sector Valuations?<\/h2>\n\n\n\n

The Nifty IT index closed at 29,542, down 24.2% from its peak of 38,950, and the sector now trades in the low 20s on forward earnings. That is below the pandemic-era peak multiples but still above the sector’s long-term historical average. The broader market context adds complexity: the Nifty 50 sits near 23,955, the RBI repo rate is at 5.25%, CPI inflation has cooled to 3.21%, and India’s GDP growth is running at 7.8%. The US Federal Reserve holds rates at 3.5-3.75%, creating a supportive global environment for risk assets, but also reducing the urgency for clients to spend aggressively on IT transformation.<\/p>\n\n\n\n

Two commodity moves are worth noting for IT investors. Brent crude crashed 13% today on Iran ceasefire developments, settling near $95 per barrel. Lower oil prices tend to be positive for India’s current account and the rupee, which in turn compresses rupee revenue for IT companies whose earnings are largely dollar-denominated. Gold surged 3.2% to $4,836 per ounce, signalling continued risk aversion in global markets despite the crude collapse. This macro mix, lower oil but elevated gold, suggests that global uncertainty remains high even as specific geopolitical risks ease.<\/p>\n\n\n\n

<\/colgroup>
Indicator<\/th>Current Level<\/th>Relevance for IT<\/th><\/tr><\/thead>
Nifty 50<\/td>~23,955<\/td>Broad market health<\/td><\/tr>
Nifty IT Index<\/td>29,542<\/td>-24.2% from peak<\/td><\/tr>
RBI Repo Rate<\/td>5.25%<\/td>Client spending outlook<\/td><\/tr>
US Fed Funds Rate<\/td>3.5-3.75%<\/td>Dollar demand for IT<\/td><\/tr>
CPI Inflation (India)<\/td>3.21%<\/td>Macro stability<\/td><\/tr>
Brent Crude<\/td>~$95\/barrel<\/td>Rupee and CAD impact<\/td><\/tr>
Gold<\/td>$4,836\/oz<\/td>Risk aversion signal<\/td><\/tr>
India GDP Growth<\/td>7.8%<\/td>Domestic demand base<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Source: NSE, RBI, US Federal Reserve as of April 8, 2026.<\/p>\n\n\n\n

What Is the Investment Playbook for IT Stocks in an AI World?<\/h2>\n\n\n\n

The investment advisor community is broadly split into two camps on Indian IT stocks, and both sides make reasonable arguments. The bears argue that AI represents a secular headwind for the sector, similar to what cloud computing did to hardware companies a decade ago, and that current valuations in the low 20s on earnings do not adequately compensate for the structural decline in the labour arbitrage model. The bulls counter that Indian IT companies have reinvented themselves through every technology cycle, from mainframes to client-server to Y2K to cloud to digital, and will do so again with AI by emerging as implementation partners for global enterprises rather than being disrupted. Charlie Munger once remarked that “all intelligent investing is value investing, acquiring more than you are paying for.” The question for IT stocks today is whether you are truly getting more than you are paying for given the AI uncertainty.<\/p>\n\n\n\n

The truth likely sits somewhere in between, and the investment implications call for a differentiated approach rather than blanket sector bets. The strongest companies, those with deep client relationships, scale advantages in AI training data, and genuine proprietary AI platforms, will likely see margins expand as they charge premium rates for AI-augmented delivery while reducing their own cost base. The weaker companies, those still dependent on legacy application maintenance and body-shopping models, will face persistent revenue pressure and margin compression that no amount of cost cutting can offset. No wonder the market has started pricing in this divergence, with a widening valuation gap between leaders and laggards within the sector.<\/p>\n\n\n\n

For investors considering a wealth management<\/a> approach to IT exposure, the right strategy is to own the AI transition leaders and avoid or underweight the laggards until they demonstrate credible transformation progress. An illustrative allocation of 10-15% to IT within a diversified equity portfolio can serve as a starting point, though this should be calibrated to individual risk profiles and conviction levels. The key is selectivity: not all IT is the same, and the gap between companies that successfully ride the AI wave and those that get swept under will only widen. Consider using a portfolio analysis<\/a> to evaluate whether your current IT exposure is concentrated in the right names for this new era.<\/p>\n\n\n\n

To Sum Up<\/h2>\n\n\n\n

To sum up, this IT earnings season is about much more than the quarterly numbers. AI risk in the IT sector is real, measurable, and accelerating, but it is not uniformly distributed across companies. TCS and Infosys have the financial strength (Rs 47,963 crore and Rs 28,003 crore in TTM profit respectively) and strategic positioning to lead the AI transition, while Wipro faces a tougher road with thinner margins and higher legacy exposure. Clearly, the winners will be those that transform from labour-heavy service providers into AI-augmented solution partners, and the laggards will face a slow erosion of their traditional competitive advantages.<\/p>\n\n\n\n

Of course, Indian IT has successfully reinvented itself through every technology shift of the past three decades, and that track record deserves respect. But this transition is different in kind because AI challenges the very foundation of the time-and-materials billing model. Indeed, for thoughtful PMS and wealth management <\/a>portfolios, the IT sector demands stock-level selectivity rather than blanket sector exposure, because the gap between AI winners and AI laggards will only widen from here. That matters.<\/p>\n\n\n\n

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Disclaimer: This article is for educational purposes only and does not constitute investment advice. Investments in securities are subject to market risks. Please read all scheme-related documents carefully before investing. Past performance is not indicative of future returns.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

India’s IT sector contributes roughly 7-8% of the country’s GDP and employs close to 6 million professionals, according to NASSCOM. This week, TCS kicks off the Q4 FY26 earnings season on April 10, with Infosys and Wipro reporting in the days that follow. The market will parse revenue growth and margin numbers with its usual… Read More »IT Earnings Season and Why AI Risk Is the Real Story<\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":7403,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[1006,1008,1005,1009,938,1007],"class_list":["post-7354","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-wealth-creation-portfolio-management-pms-investment-advisory","tag-ai-risk-it-sector","tag-infosys-earnings","tag-it-earnings-q4","tag-it-sector-india","tag-pms","tag-tcs-results"],"_links":{"self":[{"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/posts\/7354","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/comments?post=7354"}],"version-history":[{"count":5,"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/posts\/7354\/revisions"}],"predecessor-version":[{"id":7416,"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/posts\/7354\/revisions\/7416"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/media\/7403"}],"wp:attachment":[{"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/media?parent=7354"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/categories?post=7354"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/tags?post=7354"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}