The longstanding business model of India’s information technology industry is facing obsolescence due to the rapid advancements in artificial intelligence , according to industry leaders. At the recent Nasscom Technology and Leadership Forum in Mumbai, HCL Technologies’ CEO, C Vijayakumar, emphasized the urgency for IT companies to adopt a “paranoid” mindset to remain relevant and drive growth.
Vijayakumar highlighted that the traditional model, characterized by a linear scaling of revenues and personnel over the past three decades, is now ripe for disruption. He revealed that HCL has been challenging its teams to achieve double the revenue with half the workforce, leveraging AI-driven automation to enhance productivity. This approach underscores the necessity for the industry to rethink its operations in the face of AI’s transformative potential.
Echoing this sentiment, Infosys CEO Salil Parekh concurred on the need for vigilance to stay relevant in the evolving landscape. He noted that a significant portion of the industry operates on input-based models and stressed the importance of transitioning to output and platform-based services. Parekh emphasized that AI is a massive productivity development tool, bringing in new work that otherwise wouldn’t have been possible.
The rise of generative AI technologies, which can automate tasks such as code generation, has been identified as a significant factor disrupting current business models. Vijayakumar pointed out that AI’s impact is considerably different from past technological shifts like cloud computing and digitization, necessitating proactive measures including the creation of new revenue streams and business ventures. For instance, generative AI can greatly enhance productivity by accelerating project timelines, exemplified by a potential reduction of a billion-dollar, five-year tech program to three and a half years.
To mitigate dependency on external models and geopolitical risks, Vijayakumar advocated for Indian tech firms to invest in building their own language models, citing the decreasing costs of setting up training infrastructure. This move could offer a long-term competitive advantage as costs decrease. Infosys has already taken steps in this direction by launching an open-source responsible AI toolkit to enhance trust and transparency in AI, furthering its commitment to creating an inclusive AI ecosystem that ensures safety, security, privacy, and fairness.
