Past Rs 6 lakh crore selloff: How TCS, Infosys, different IT giants are reinventing to outlast AI disruption fears
But past the headlines, not all the pieces is doom and gloom. The nation’s largest software program exporters are attempting onerous to persuade shoppers and traders that AI will not “delete” the companies mannequin and are already rolling out plans to adapt to an unsure future. Whether or not this proves too little, too late or just not sufficient in opposition to the large spending by US tech giants on frontier AI, is a debate that may play out over time.
A latest JP Morgan sector be aware framed the present AI discourse as “discounted for extinction” however argued AI can even create web new areas of labor — from addressing multi-decade tech debt and modernising legacy code, to rewriting customized variations of SaaS the place enterprises want extra management, to constructing AI belief, reliability and operational companies.
The financial institution additionally famous that enterprise tech groups stay under-resourced versus enterprise calls for, which may maintain a job for big companies corporations even in an AI-heavy world.
HSBC, in a separate analysis be aware on software program, took a unique however complementary view. The AI versus software program debate is commonly flawed as a result of AI sometimes wants to take a seat inside enterprise software program and day-to-day workflows.
“In giant organisations, AI is unlikely to run as a standalone “magic field”. It normally has to work with information programs, entry permissions, audit checks and threat controls, areas the place giant IT distributors and enterprise platforms nonetheless matter,” the brokerage stated.
The market, nonetheless, wants a solution to a unique query. Even when the work does not disappear, does AI cut back the cash IT firms could make by sharply reducing the hours and folks wanted to ship it?Motilal Oswal estimates 30-40% of IT companies income is in danger from AI-led deflation concentrated in app growth, upkeep and testing. If AI lifts productiveness by 30-50% in these areas, Motilal argues 9-12% of sector income might be eradicated over three to 4 years, successfully a 2% hit to annual development in the course of the transition.
The brokerage warns the danger may rise additional if AI additionally compresses ERP migration and third-party enterprise software program work, which it pegs at one other 10-15% of trade revenues.
JP Morgan tried to quantify what’s already priced into the massive shares. The brokerage labored backwards from present share costs to deduce what development the market is assuming. It stated present costs for TCS, Infosys and HCL Tech indicate roughly 4%, 4% and 5.6% 10-year income CAGR, which is under the long-term common the sector as soon as loved.
Its “uber-bear” situation, the place development falls to 0% in perpetuity resulting from AI disruption, implies potential draw back of greater than 30% for the three names. The flip aspect is that if development improves even barely from right now’s “low single digit” actuality, valuations will not be as stretched because the market motion suggests, which means a significant chunk of pessimism is already baked in.
So what are the businesses doing, in sensible phrases, to bend the end result of their favour?
The most important inside shift is how India’s tech giants are altering the way in which they ship work. All giant corporations are utilizing coding assistants and automation throughout the software program lifecycle — coding, testing, documentation, migration evaluation, and even help capabilities like dealing with incidents and alerts.
Sandeep Gogia, sector lead for tech and digital at Equirus Capital, stated the massive distributors are already utilizing instruments reminiscent of GitHub Copilot and comparable assistants, whereas coaching engineers to work alongside AI-led brokers.
“They’re coaching their manpower on AI instruments and AI-assisted coding, and studying to work with AI brokers, both their very own or by means of companions,” he stated. The inner purpose is to take the associated fee out, cut back turnaround time, and shield margins at the same time as shoppers push for extra output on the similar or decrease spend.
The second shift is what they’re promoting. As a substitute of pitching AI as a lab experiment, corporations are attempting to embed AI into giant transformation programmes, organising cleaner information layers, modernising previous purposes, transferring programs to cloud, after which serving to shoppers use their very own information safely with AI.
That additionally contains constructing guardrails round safety, privateness and compliance, as a result of enterprises are unlikely to deploy AI extensively in the event that they concern information leaks or regulatory blowback.
Gogia says that is the place giant programs integrators nonetheless have an edge. “This requires contextual data, enterprise logic and readability about trade guidelines and laws,” he stated. “That data repository is extra with giant IT companies corporations.”
The third shift is companion technique. Whereas the massive mannequin makers and cloud suppliers management the chips, computing energy and basis fashions, a number of analysts stated Indian IT corporations are attempting to manage all the pieces round it, which is implementation, integration, change administration, and the long-term operating of AI programs inside a consumer’s enterprise.
Vinit Bolinjkar, head of analysis at Ventura, calls this a transfer away from pure “people-led” development. “The transition is from a headcount-led mannequin to an outcome-led, IP-led mannequin,” he stated.
He added that AI is already exhibiting up in deal conversations and deal wins, at the same time as firms acknowledge a actuality traders are anxious about, the place they see larger productiveness will squeeze some older income swimming pools reminiscent of conventional software upkeep.
Towards that backdrop, how is AI posturing in search of the massive 4 — TCS, Infosys, HCL Tech and Wipro?
TCS: Scale, infrastructure and ‘full-stack’ ambition
TCS is leaning into scale and execution resilience, however additionally it is signalling it desires to be greater than only a companies layer. The corporate has talked about constructing “full stack” functionality — from infrastructure to AI-led options — so it could actually supply end-to-end supply.
It has introduced a strategic funding in a 1 GW capability AI information centre in India to help “sovereign AI” necessities, a theme that’s gaining traction as enterprises and governments fear about the place information sits and who controls it.
TCS has additionally skilled over 350,000 workers in GenAI foundational abilities and held a big inside AI hackathon to push an “AI-first” tradition.
Bolinjkar stated TCS seems strongest on “AI monetisation scale” and monetary sturdiness, citing an annualised AI income run-rate of about $1.8 billion. Analysts wager is that TCS can soak up pricing strain higher than friends due to its breadth and skill to industrialise supply.
Abhinav Tiwari, analysis analyst at Bonanza, additionally sees TCS as a steadier title on this transition. “TCS seems defensively robust,” he stated. Nevertheless, he added that “a lot of its AI is embedded somewhat than offered as a standalone product line,” which suggests the AI profit might present up extra in win charges and supply effectivity than in clear, separate AI income disclosures.
TCS has additionally been highlighting deal momentum the place AI performs a central position, together with giant multi-year contracts the place automation and optimisation are a part of the worth pitch.
Infosys: Topaz, brokers and a extra product-like story
Infosys is pushing a extra structured, productised AI narrative by means of its Topaz platform and an agent-based strategy. It has stated Topaz is more and more being embedded in new giant offers, and it has additionally talked about constructing greater than 100 GenAI brokers for consumer workflows, instruments that may automate particular duties inside enterprise processes.
The corporate’s technique, as described by analysts, is to look much less like a pure staffing engine and extra like an enterprise AI companion that brings reusable elements, frameworks and trade playbooks.
“Tiwari referred to as Infosys’ strategy extra IP-led. “Infosys has probably the most productised AI story by means of Topaz,” he stated. “It’s clearly linking AI to giant deal wins and margin enchancment.”
Infosys has additionally pointed to robust large-deal momentum, with AI now that includes in a rising share of consumer conversations, and has highlighted its potential to fund capability-building by means of robust money flows.
HCL Tech: Engineering-heavy AI and infrastructure depth
HCL Tech is aiming to distinguish by means of engineering and infrastructure-heavy AI use instances—areas the place AI meets networks, cloud infrastructure, industrial programs and the broader “construct and run” stack.
Bolinjkar stated this positioning may work nicely in deployments the place engineering depth issues. “In an AI world, enterprises do not simply want fashions,” he stated. “They want resilient programs, safety, and integrations throughout messy environments.”
HCL has been pushing its AI Drive platform as a technique to automate elements of the software program growth lifecycle — coding, testing and documentation – and has cited significant productiveness enhancements for shoppers utilizing such instruments. It has additionally expanded capabilities by means of focused strikes in particular verticals, together with telecom.
Wipro: Huge spending, coaching push, however nonetheless a turnaround narrative
Wipro stays the one analysts nonetheless deal with as a turnaround. It has dedicated $1 billion over three years to advance AI, information and analytics, and has skilled a big a part of its workforce on AI abilities. It has additionally positioned ai360 and its Lab45 innovation unit as engines to deliver AI into consumer work, alongside a pipeline of investments by means of Wipro Ventures in early-stage AI startups.
However its development has lagged friends, and its AI monetisation metrics are much less seen. “Wipro stays extra of a turnaround wager,” Tiwari stated, whereas including that TCS, Infosys and HCL Tech appear to be safer long-term beneficiaries “based mostly on present proof” and execution observe information.
The deeper debate just isn’t whether or not AI will likely be used, however who is best positioned to seize the economics, in line with a number of analysts that ETMarkets spoke to. If AI reduces effort, shoppers will demand decrease costs. That may hit income even when the variety of initiatives rises. To offset this, IT distributors are attempting to maneuver up the worth chain, the place they’re charging extra for outcomes, platforms, managed AI operations, and threat controls, whereas utilizing AI internally to protect margins.
For traders, key issues to be careful is the administration commentary round whether or not AI is definitely supporting giant deal wins. This may be already be seen from a number of statements from the latest third quarter.
(Disclaimer: Suggestions, recommendations, views and opinions given by the specialists are their very own. These don’t signify the views of Financial Instances)
