Execution challenges, legacy tech stacks and data readiness — not model capability — are the biggest barriers to scaling AI in enterprises, Infosys chief delivery officer tells Moneycontrol
Nasscom vice chairperson Srikanth Velamakanni said modernising an estimated 800 billion lines of legacy code at about $2 a line could translate into a $1.6 trillion opportunity enabled by AI
Their remarks come amid $300 billion global tech stocks correction and concerns that generative AI tools could automate large swathes of coding and enterprise software work.
Headlines of fewer jobs, opportunity and less human relevance are wrong, as humans will continue to lead in decision making, Sweet predicted
Q3FY26 earnings brought a long-awaited revival, but analysts warn the triggers may be too temporary to sustain the market's lofty expectations.
In clinical trials, AI-led patient recruitment, trial design and real-time analytics are shortening development cycles by four to six years while improving success rates, KPMG in India and UnearthIQ have said in a report
The focus on AI-driven modernisation of legacy systems creates a significant opportunity for Indian IT firms even as the industry navigates workforce transitions, the minister tells Moneycontrol
TCS demonstrated AI at the grassroots, while HCLTech focused on deploying AI across core business and engineering operations.
Nilekani said enterprises will need new skills focused on AI engineering, agent orchestration, and managing non-deterministic systems, where the same prompt can generate different outcomes each time.
Infosys, Cognizant, and HCLTech have all affirmed a similar shift, telling investors that AI-led platforms and productivity gains are redefining their business models
Hiring momentum for mid-level roles, defined as positions with annual compensation between Rs 5 lakh and Rs 30 lakh, has moderated over the past few years.
However, the IT major, last week, said the assumption that new AI tools can be plugged into enterprise environments and immediately replace large parts of IT services work is misplaced.
Growth metrics like revenue per employee and margin per employee will now increasingly depend on how effectively firms embed AI into delivery.
Speaking at the launch of NITI Aayog’s Frontier Tech Hub roadmap on India’s Technology Services in New Delhi, Goyal said companies should not take a “depressed outlook” on the future.
Minister for Information Technology, Biotechnology and Rural Development Priyank Kharge said the state will unveil an Ocean Farming Policy, back AI–biotech convergence, and push a greener data framework.
State-run miner Karnataka State Minerals Corporation Ltd has called a tender to appoint a consultant for developing the 14-acre project in phases
Cognizant’s entry into the 'Winner’s Circle' followed 6.4% year-on-year constant currency growth in 2025, the highest among large IT services firms
He argued that productivity gains from AI need to be deliberately channelled back into the workforce to support long-term growth and social stability.
Contrary to the widespread discussion on AI-led job losses, the management said higher fresher intake is being supported by rising productivity at the bottom of the pyramid, enabled by greater use of AI tools and agentic software.
The easing of trade-related anxiety is expected to directly benefit GCCs, as US enterprises that had adopted a wait-and-watch stance on expanding or setting up centres in India amid trade friction begin to move forward with their plans.
Tax treatment of buyback and announcements pertaining to safe harbour lift sentiment for IT
IT stocks continue to trade in red, amid weak market momentum and failure to absorb Union Budget 2026 measures as completely positive for the sector in near term.
Finance Minister Nirmala Sitharaman added that this measure will make India a global leader in services with a 10% global share by 2047.
Within the segment, GCC clients now account for roughly 72% of professional staffing headcount.
Indian IT majors say the next phase will be less about hype and more about fundamentals, clean data, clear accountability, and systems that can explain their decisions at scale.