Indian IT's AI Moment of Truth: What the Q2 Results Really Say About the Future of IT Services

A note on perspective: I run an IT services company with teams in India, Kenya and the Middle East, so this is my industry — and I have a stake in how this story is told. I've tried to stick to the numbers.

In February 2026, India's IT industry had one of its worst months in memory. After a wave of AI automation announcements from companies like Anthropic and Palantir, the Nifty IT index suffered its steepest monthly fall since the 2008 financial crisis. Brokerage Jefferies cut price targets by up to a third and downgraded six major firms, including TCS, Infosys and HCLTech, warning that AI could permanently shrink a core part of their business.

The question since then has been simple: is AI breaking the Indian IT services model — or just changing it?

The second-quarter results for FY27 (July–September 2026), now coming in, give us the clearest answer yet. And the answer is: AI isn't killing Indian IT. It's splitting it into winners and strugglers.

The Q2 FY27 scoreboard

Company	Growth	AI business	Deals	Headcount
TCS	Revenue ₹73,188 crore, up 11.2% year on year in rupees — but only 2.8% in constant currency	Annualised AI revenue of US$3.1 billion, up from US$2.6 billion last quarter, now over 10% of revenue	Total contract value of US$9.6 billion	+4,258 (to about 598,000)
HCLTech	Strongest of the large firms this quarter	"Advanced AI" revenue up 78% year on year and 28% quarter on quarter	US$3.26 billion of new bookings, up about 27% year on year	+6,450
Wipro	IT services revenue of about US$2.61 billion, roughly flat on the quarter	Not separately highlighted	Large-deal bookings down 58.6% quarter on quarter, to US$674 million	−6,716 (down 2.8%)
Infosys	Results due later in October	—	—	—

Figures from company results as reported by InfotechLead, IIFL, Finology and others. Constant-currency growth strips out exchange-rate effects.

Three things stand out immediately.

AI revenue is real — and growing fast. TCS's AI business alone is now a US$3 billion-a-year operation. HCLTech's AI revenue grew by more than three-quarters in a year.
But overall growth is slow. TCS grew under 3% in constant currency. Strip out the AI business and the rest of the company is barely growing — a sign that AI work is partly replacing older work rather than simply adding to it.
The industry is diverging. HCLTech is hiring and winning more deals; Wipro is shrinking its headcount and saw large deals fall sharply. Same industry, same quarter, very different stories.

What the market is afraid of

Investors' fears, as Jefferies set out earlier this year, come down to a few structural shifts:

Managed services may shrink. For decades, Indian IT earned steady, recurring revenue by maintaining applications, testing software, running infrastructure and handling support. These are exactly the tasks AI can automate.
Prices may deflate. If AI makes a team of ten as productive as a team of fifteen, clients will expect to pay less. Revenue tied to headcount comes under pressure.
Work becomes more cyclical. AI shifts spending towards consulting and implementation projects, which are lumpier and more sensitive to economic cycles than long managed-services contracts.
Clients may do more themselves. With AI tools and their own Global Capability Centres in India, some clients are bringing work in-house.

These fears aren't unfounded. But they're only half of the picture.

What's shrinking — and what's growing

Shrinking	Growing
Routine application maintenance and support	AI strategy, implementation and integration into real business processes
Manual testing and basic coding	Data engineering — cleaning, governing and connecting the data AI needs
Large teams billed by headcount ("time and materials")	Outcome-based and platform-based contracts
Generic IT outsourcing	Cybersecurity, cloud modernisation and AI governance
Labour-heavy BPO tasks	Setting up and running GCCs for clients (build–operate–transfer)
Onsite delivery dependent on visas	Offshore and remote delivery, accelerated by US visa restrictions

As I argued in my post on the trillion-dollar AI bet, the biggest problem in AI today is the gap between massive infrastructure spending and real business value. Closing that gap — making AI actually work inside banks, insurers, manufacturers and governments — is exactly what IT services firms are built to do. The firms growing fastest are the ones repositioning around that job.

The talent question

The headcount numbers tell their own story. Across the large firms, net hiring is modest, and in some cases negative. Globally, IT services companies have cut tens of thousands of jobs this year, while India's Global Capability Centres have kept hiring for specialised roles.

That reshuffle has real consequences (more on AI and jobs here):

Freshers face a tougher market. Entry-level work — basic coding, testing, support — is exactly what AI automates first.
Mid-level roles are being redefined, from managing large teams to managing AI-augmented delivery.
Demand is rising for specialists in AI engineering, data, cloud, security and industry domains such as banking and insurance.
Visa pressure adds another layer. US restrictions on H-1B visas and green cards (covered here) are pushing more work offshore — good for delivery centres in India, but tough for professionals who planned careers in the US.

What this means for each group

For IT services companies

Lead with AI, not headcount. Package AI into solutions and outcomes, and price on results rather than people.
Cannibalise yourself before someone else does. Use AI to automate your own managed-services work — and offer the savings to clients — before competitors do.
Build domain depth. AI is generic; deep knowledge of banking, insurance, healthcare or manufacturing is not. Domain expertise is the moat.
Become the GCC partner. Help clients build their own centres through build–operate–transfer models, instead of competing with them.
Reskill at scale. The firms that turn today's engineers into AI-augmented engineers fastest will win the next decade.

For clients

Renegotiate legacy contracts with AI productivity in mind — but share the savings, so partners keep investing.
Pay for outcomes, not effort.
Choose partners who can integrate AI into your business, not just sell you tools.

For IT professionals

Move up from tasks to outcomes: architecture, integration, client problem-solving and domain expertise.
Become fluent in AI tools in your area — they are now basic job requirements.
Look at GCCs and product companies as well as services firms.

For the government

Support large-scale reskilling tied to real job placements.
Back India as a global AI delivery hub, including through stable rules for GCCs, data protection and digital exports.
Track the data — publish detailed statistics on IT employment, freshers' hiring and AI adoption, so policy can respond quickly.

What to watch next

Infosys's results later this month, and whether its AI revenue and deal wins look more like HCLTech's or Wipro's.
Constant-currency growth across the industry — the truest measure of underlying demand.
The share of revenue from AI at each company, and whether it keeps growing as a share of the total.
Fresher hiring plans for 2027 — an early signal of how much entry-level work AI is absorbing.
Deal pricing and contract structures — more outcome-based deals would confirm the shift.

Final thought

The February sell-off asked whether AI would destroy India's IT industry. The Q2 results suggest something more nuanced, and more demanding: AI is rewarding the firms that reinvent themselves and punishing those that don't.

India's IT industry has reinvented itself before — from Y2K fixes to outsourcing, from offshoring to digital transformation. This time, the change is faster and deeper. The industry will survive. Not every company in it will.

Are you seeing this shift in your organisation or career? Share your view in the comments.

Sources: TCS Q2 FY27 results as reported by IIFL, Finology Ticker, NiftyTrader and Multibagg; InfotechLead on HCLTech's and Wipro's Q2 FY27 results; AskFuzz on the Q2 FY27 results calendar; Business Standard, CNBC and NewsBytes on Jefferies' February 2026 downgrades of Indian IT stocks and the Nifty IT sell-off; MarketScreener on analyst concerns after Anthropic's AI announcements; The Register on hiring trends at India's largest IT firms (January 2026); Outsource Accelerator on 2026 IT services job cuts and GCC hiring; Nasscom Strategic Review 2026.