Indian IT ‘Should Be Paranoid’ About AI & Ditch its 30-Year-Old Business Model
AI tools are looking to make the future difficult for Indian IT firms.
Technology leaders driving digital transformation and building AI-first solutions.
AI tools are looking to make the future difficult for Indian IT firms.
Several earlier reports revealed that most Indian engineers at Indian IT do not know how to do basic programming.
If India can surpass the security issues with DeepSeek, the model’s low cost will play a big role in its adoption, Kanchan Ray said.
Andhra Pradesh government has decided to provide land to the first 500 IT companies at very low rates compared to any other state in the country.
It makes sense for the industry not to spend on foundational models and work with the ones already available.
‘Today, 80% of storage purchases are concentrated in a few companies, but that’s about to change.
The IT industry is expected to add less than a fourth of the 60,000 people it added in the previous fiscal year by the end of FY2025.
Salil Parekh said that Infosys is not doing ‘AI washing’ as others in the industry might be and, instead, doing real generative AI work.
The rebranding of advanced RPA as agentic AI is often a marketing move to capitalise on AI’s hype.
L&T chairman SN Subrahmanyan faces backlash for suggesting employees should work 90 hours a week, including Sundays.
“Effective upskilling isn’t about ticking boxes; it’s about formats that truly engage like interactive modules, case studies, hackathons, and real-world applications.”
Infosys, TCS, Tech Mahindra, Wipro, and HCLTech have all partnered with several AI startups over the last year.
Apple, Amazon, Google and Microsoft have been more significantly impacted by tightening of H-1B policy than the top H-1B petitioners, including Cognizant, Infosys, TCS and Wipro.
This effort aligns with emerging regulations like the EU’s AI Act, which mandates explainability for high-risk AI applications.
The team’s approach addresses the widespread notion in India that GPT models and similar architectures aren’t accessible or effective for local needs.
The biggest factor is the massive funding gap between Indian and Western universities.
While only 26% of workers worldwide use AI daily, the figure is nearly double in India, with 45% reporting daily usage.
The biggest reason for not building in-house models for Indian IT firms is that generative AI is too expensive to experiment with.
The evaluation of students is done entirely on the basis of examinations and assessments at the end of the semester.
Since both ITs and GCCs are competing for the same talent pool, with the GCCs offering significantly higher packages and better designations to freshers, it gets challenging for IT.
Hiring of freshers will finally increase as the companies are already working on only 85% of their capacity.
If the future is all about communication in voice and giving it to the millions of UPI users in the country, speech models are necessary.
Composio can be integrated with multiple AI agentic frameworks and the company has partnered with Langchain, Llama Index, and Crew AI.
SUTRA yet again emerges as #1 in Indian language AI, the research report claims.
“Why should we sit on top of this capability? Let others build on it,” said Debdoot Mukherjee, referring to Meesho’s intent to open-source its ML platform.
Several Indian companies advise against, or sometimes even ban, the use of AI coding tools.
Notably, instead of developing industry-relevant skill sets, students are often forced to do research work in universities.
Around 18,000 developers at Infosys have written 7 million lines of code using GitHub Copilot.
Suleyman referred to Microsoft’s AI teams in India as the strength of the company.
AI is transforming India’s digital infrastructure and reaching the farthest of underserved communities.
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