3 Mid-Cap IT Stocks Winning the AI Race Ahead of Infosys

Dalal Street is witnessing a fundamental shift in how IT portfolios are built. For years, investors defaulted to industry giants for stability.

But the June 2026 quarter (Q1FY27) made one thing abundantly clear: if you want aggressive growth backed by artificial intelligence, you have to look down the market-cap ladder.

While traditional heavyweights struggle with sluggish enterprise spending, a select group of mid-cap IT companies specifically those in the Rs 40,000 crore to Rs 80,000 crore market capitalization bracket are quietly cornering the AI market.

They aren’t just running pilots; they are converting AI demand into constant-currency revenue growth, largely through targeted overseas acquisitions and specialized digital engineering deals.

Why Mid-Cap IT Revenue is Outpacing the Giants

The contrast in Q1FY27 was stark. Leading IT services companies delivered highly mediocre results that left markets wanting. Infosys, typically the sector’s benchmark, managed a lackluster 1% quarter-on-quarter (q-o-q) constant currency growth, taking consolidated revenues to Rs 48,211 crore.

HCL Tech fared even worse. Its consolidated revenues shrank by 0.5% q-o-q in constant currency terms to Rs 34,579 crore. In its core IT services division alone, the top line slipped 0.7%.

The giants remain bogged down by their sheer size and a heavy reliance on legacy maintenance contracts, which are currently facing immense pricing pressure from cautious global clients.

Meanwhile, agile mid-caps are eating into this market share by pivoting toward specialized, AI-driven digital transformation. Companies like Coforge and L&T Technology Services (LTTS) stand out alongside Persistent Systems as the top three players dictating this trend.

Coforge has been aggressively securing AI-led banking deals, while LTTS is leveraging its niche in smart manufacturing to keep top-line growth well ahead of the industry average.

Because their base revenues are much smaller than an Infosys or HCL Tech, these mid-caps can extract highly visible percentage growth from specialized AI contracts that simply wouldn’t move the needle for the giants.

Persistent Systems: How a 90% TCV Surge Masks Rising Sub-Contracting Costs

Among the three standout players, Persistent Systems offers the clearest blueprint of how this mid-cap AI playbook operates.

Positioning itself as an AI-led, platform-driven enterprise modernization partner, Persistent has doubled down on software, hi-tech, and healthcare verticals.

This laser focus is paying off. The company drove its consolidated operational revenues up by 3.8% q-o-q to Rs 4,303 crore in the June 2026 quarter.

When you strip away the market noise, this growth is being overwhelmingly funded by AI-led projects secured from global clients.

However, scaling AI capabilities at this speed comes with structural operational shifts. A massive surge in Total Contract Value (TCV) requires immediate fulfillment, forcing companies to rely on external talent to meet delivery timelines.

Persistent expanded its in-house workforce to 28,640 employees from 27,502 in the previous quarter.

On paper, they managed this efficiency well core employee costs as a percentage of revenue actually dropped 150 basis points to 51.1%.

But look closer at the operational expenses. To execute these specialized AI deals on tight schedules, Persistent’s sub-contracting costs jumped 7.4% q-o-q to Rs 667.1 crore.

This highlights a critical reality for mid-cap IT stocks winning the AI race: securing the deals is only half the battle.

The real test over the next few quarters will be whether these companies can swap out expensive external sub-contractors for optimized in-house talent without disrupting project delivery.

For now, the strategy is working, and the street is heavily rewarding the growth.

Source: The Financial Express, "Forget Infosys: These 3 Mid-Cap IT Stocks Are Winning the AI Race—and Growing Faster"

Pradeepa Sakthivel
Pradeepa Sakthivel

Pradeepa is an AI Enthusiast and Technology Journalist covering AI News, AI Tools, Product Reviews, Industry Updates, and other developments in the rapidly evolving world of artificial intelligence.

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