AI Shrinks IT Giants' Edge: Mid-Caps Rise on Agility, Large Deals Lag

TECHNOLOGY
Whalesbook Logo
AuthorAnanya Iyer|Published at:
AI Shrinks IT Giants' Edge: Mid-Caps Rise on Agility, Large Deals Lag
Overview

Artificial Intelligence is reducing the scale advantage for large Indian IT companies. Mid-cap firms are using AI for faster delivery and quicker staff retraining, showing strong revenue growth. However, clients still prefer established players for big outsourcing deals due to global economic uncertainty, which slows down smaller firms' large contract wins.

Instant Stock Alerts on WhatsApp

Used by 10,000+ active investors

1

Add Stocks

Select the stocks you want to track in real time.

2

Get Alerts on WhatsApp

Receive instant updates directly to WhatsApp.

  • Quarterly Results
  • Concall Announcements
  • New Orders & Big Deals
  • Capex Announcements
  • Bulk Deals
  • And much more

AI Challenges Traditional IT Firm Hierarchy

Artificial Intelligence is starting to erode the long-standing scale advantage held by India's largest IT services companies. Mid-cap players are gaining ground by demonstrating better agility, cost-effective delivery, and rapid workforce retraining. Yet, a cautious global economic outlook means that large, established IT companies continue to win most major outsourcing contracts, slowing down significant deal acquisitions for their smaller competitors.

Mid-Cap Growth vs. Large Deal Hesitation

Data from CareEdge Research shows a clear split: mid-cap IT firms saw about a 10% year-on-year drop in large deal wins in fiscal year 2026. Meanwhile, major IT corporations reported around 12% growth in similar large deals. This difference occurs even as mid-cap companies consistently outperform larger rivals in revenue growth and how efficiently they deliver.

"The divergence is mainly due to cautious discretionary spending and slower client decision-making because of global economic uncertainties," explained Tanvi Shah, senior director at CareEdge Advisory. "Also, companies may prefer established large IT players for their wider capabilities and stronger execution capacity."

Revenue Growth Beats Large Competitors

Combined analysis of mid-cap firms like Coforge, L&T Technology Services, Mphasis, and Persistent Systems shows an increase in quarterly revenue growth, from 2.1% in Q3 FY26 to 2.6% in Q4 FY26. Annual revenue growth reached 14.3% in Q4 FY26. This significantly outpaces the 4% growth reported by large-cap competitors, including Tata Consultancy Services, Infosys, HCLTech, Wipro, and Tech Mahindra.

However, this growth pace has slowed from higher levels seen a year ago, reflecting a broader global slowdown in non-essential technology spending. "While AI spending creates new opportunities, the cautious approach to discretionary spending by firms across industries and its effect on deal momentum will be a key factor to watch," cautioned Kalpesh Mantri, assistant director at CareEdge Advisory.

Agility and Pricing Drive Competition

Industry executives note that AI-driven delivery models are changing competitive dynamics, making sheer workforce size less critical. Mid-cap firms, often with tighter margins and fewer employees, are using their flexibility and competitive pricing to win transformation projects. Gaurav Vasu, CEO and founder of UnearthInsight, commented, "Tata Consultancy Services has Ebitda margins of 18%, which is by far the best in the industry surpassing even global counterparts like Accenture or Cognizant. This has given mid-cap IT firms the ability to offer deep discounted deals in AI as they are not as concerned to maintain a better margin profile."

Executives at mid-cap firms also highlighted the advantage of their smaller size in adapting to AI operating models. Coforge, for example, reported a 30% rise in fourth-quarter revenue and a 134% surge in net profit, linking its success in seizing new opportunities to rapid staff retraining. Coforge CEO Sudhir Singh said during an earnings call, "There are new value pools that can be addressed by nimbler players who can re-orient themselves and re-train their staff quickly." He added about their agility, "Because we're smaller, in the past three years we've been able to take 35,000 people and re-train them at a speed that is reflective in our performance."

Manish Tandon, CEO & MD of Zensar Technologies, agreed, stressing the importance of speed in the current demand environment. "AI is not a disruption risk but a net positive for us; it improves productivity, accelerates transitions, and enables more scalable delivery," he stated.

Get stock alerts instantly on WhatsApp

Quarterly results, bulk deals, concall updates and major announcements delivered in real time.

Disclaimer:This content is for educational and informational purposes only and does not constitute investment, financial, or trading advice, nor a recommendation to buy or sell any securities. Readers should consult a SEBI-registered advisor before making investment decisions, as markets involve risk and past performance does not guarantee future results. The publisher and authors accept no liability for any losses. Some content may be AI-generated and may contain errors; accuracy and completeness are not guaranteed. Views expressed do not reflect the publication’s editorial stance.