Sandeep Kalra had been watching Nagarro for years. The Munich-headquartered digital engineering firm, with over 300 clients spread across Europe, had briefly attracted Warburg Pincus in late 2024 — only to have its board reject the private equity offer. When Persistent Systems came calling in June 2026, the board said yes. The deal — structured as a $1.3 billion transaction in which Persistent secured roughly a 21% stake through the founding shareholder and launched a voluntary public takeover for remaining shareholders — would add over a billion dollars to a company that generated $1.7 billion in revenue in 2025-26.
"We have been competing with larger players," Kalra told Mint. "We had the capability, the agility, but lacked the global footprint. Now we have the nimbleness of a smaller company and the turf has equalized on the scale and presence sides." That last sentence deserves to sit for a moment. A mid-cap IT firm from Pune has just told the market that it considers itself, on equal footing, a rival to companies ten times its size. A few years ago, that would have read as founder bravado. Today it reads as a thesis.
The Deals That Signal a Structural Break
Coforge moved first and bigger. Its acquisition of California-based Encora in a $2.35 billion deal was not a simple capability tuck-in. The company claims the transaction created what it calls a "$2 billion AI-led engineering, data engineering, and cloud engineering platform." Mphasis, moving more quietly, acquired Theory and Practice, an AI decisioning company out of Vancouver.
Three mid-tier firms, three cross-border acquisitions, three bets on platform specificity over generalist scale. All compressed into roughly six months. The timing is not coincidental. It reflects a calculated reading of where the AI disruption is concentrating its destructive and creative energy.
The numbers make the argument bluntly. In 2025-26, India's four largest IT firms — TCS, Infosys, Wipro, and HCLTech — generated around $80 billion in combined revenue, but growth across the cohort ran from flat to mid-single digits. The mid-tier cluster — Coforge, Persistent Systems, Mphasis, and Hexaware — delivered around $7 billion together, a fraction of the aggregate, but at growth rates that left the giants looking sedentary. The delta is not cyclical. It is structural, and its engine is AI.
Why Scale Became a Liability
For two decades, the Indian IT model rested on a simple and durable premise: deliver more output by deploying more engineers. The labour arbitrage — skilled graduates at Indian wage rates against Western billing rates — funded campuses in Bengaluru, Chennai, Hyderabad, and Pune, absorbed hundreds of thousands of engineering graduates each year, and built the export revenues that made IT services the country's most reliable foreign-exchange earner. It was a machine calibrated for volume.
AI is recalibrating the machine. When a platform or an AI agent can perform work that previously required a bench of two hundred engineers, headcount stops being a proxy for capability. It becomes overhead. The large firms, whose cost structures, delivery commitments, and investor expectations are all anchored to the headcount model, cannot pivot without absorbing enormous transition pain. Their scale — once the moat — now slows them down.
Mid-cap firms enter this environment with an advantage that looks almost accidental: they were never large enough to become fully dependent on the arbitrage model. Persistent, Coforge, and Mphasis built vertical depth — in banking technology, insurance technology, and AI decisioning — rather than horizontal breadth. That vertical specificity is precisely what enterprise buyers want when they commission AI-led transformation. They want a firm that already understands their regulatory environment, their legacy stack, their data architecture. Platform depth, not headcount depth, wins that conversation.
The Employment Question No One Is Answering
Here is where the story becomes genuinely complicated for India. The mid-cap surge is real, the growth rates are real, and the acquisition logic is sound. But the employment implications of AI-driven delivery run directly against the social contract that the Indian IT sector has honoured for thirty years.
India's engineering colleges produce graduates by the hundreds of thousands annually, and the Tier-1 firms have been the primary absorption mechanism — the companies that hired in cohorts of tens of thousands, ran campus drives across every state, and converted engineering degrees into middle-class salaries. If AI platforms genuinely decouple revenue from headcount, the Tier-1 model — which is also the mass-employment model — faces structural stress even as aggregate export numbers remain healthy. The mid-caps grow, but they grow with smaller, more specialised teams. The net employment effect is not necessarily additive.
NASSCOM has acknowledged the AI disruption to traditional delivery models and has been advocating reskilling initiatives, but no formal government or ministerial statement has directly addressed this internal competitive dynamic within the sector. The silence is understandable — the industry is in transition, not crisis — but the reckoning is approaching. India's engineering education pipeline was calibrated for a world that is changing faster than the curriculum committees can track.
The Value-Chain Ascent India Actually Needs
There is, embedded inside this disruption, an opportunity that India has been circling for a decade without quite grasping it. The critique of Indian IT — articulated by analysts and industry veterans alike — has always been that the sector remained a delivery layer for other people's intellectual property. Indian firms executed. Western technology companies owned the platforms. The margin differential between the two has always been stark.
The mid-cap acquisitions, read carefully, are an attempt to close that gap. Coforge's Encora deal is not just a revenue add; it is a claim to platform ownership in AI engineering. Persistent's Nagarro transaction is not just a European footprint play; it is access to deep vertical engineering capability that can anchor proprietary delivery methodologies. When Kalra says the turf has equalized, the word he is really reaching for is ownership.
This aligns, at a structural level, with India's broader technology ambitions — the push to build domestic AI capability rather than remain an integration layer for platforms designed in San Francisco or Seattle. MeitY's IndiaAI Mission, funded at ₹10,371 crore, points in the same direction. The question is whether government support mechanisms — compute infrastructure access, sovereign data assets, export promotion frameworks — are actually calibrated for platform-building mid-caps, or whether they still implicitly assume that the beneficiaries look like the Tier-1 giants of 2005.
The honest answer is probably the latter. India's IT export policy, its H-1B visa advocacy in Washington, and its engineering education incentive structures were all designed for a headcount-intensive model. The firms that are actually winning the AI era are running a different playbook, and the institutional support apparatus has not caught up.
What the Next Five Years Will Reveal
The Nagarro and Encora deals are bets, not outcomes. Cross-border acquisitions in technology services have a long history of integration failures — culture mismatches, client attrition during ownership transitions, technology debt that the acquirer did not model. The mid-cap challengers are taking on significant capital commitments at a moment when the AI landscape itself is shifting quarterly. Mphasis's Theory and Practice acquisition is small enough to be absorbed without disruption; Persistent's $1.3 billion Nagarro transaction and Coforge's $2.35 billion Encora deal are different propositions entirely.
But the direction of the bet is correct. India's IT sector is too important — to its export economy, to its employment base, to its technology ambitions — to remain anchored to a delivery model that AI is systematically eroding. The mid-caps are not waiting for the Tier-1 firms to lead the transition. They are moving now, with the confidence of companies that have nothing to protect and everything to gain. India's policymakers would do well to notice: the firms building tomorrow's IT export base may not be the ones whose names appear on the largest Bengaluru campuses.
