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Nilekani: AI Requires 'Root and Branch Reset' for Businesses and Society
Locale: INDIA

Bengaluru, India - March 20th, 2026 - Nandan Nilekani, the renowned co-founder and non-executive chairman of Infosys, delivered a stark yet optimistic assessment of Artificial Intelligence's impact on the future of business and society at a panel discussion following the 13th Bengaluru Tech Summit this week. Nilekani argues that AI isn't simply a new technological tool to be bolted onto existing systems; it's a "root and branch reset" - a fundamental restructuring that demands deep integration into every facet of an organization, and indeed, broader societal structures.
Speaking to a packed auditorium of industry leaders, policymakers, and tech enthusiasts, Nilekani emphasized that the era of viewing AI as a peripheral "add-on" is over. "We're past the point of experimentation," he stated. "The truly successful businesses of tomorrow will be those that embed AI directly into their core functions, fundamentally altering how they operate, innovate, and compete."
This assertion isn't merely about automating tasks or improving efficiencies, although those benefits are certainly significant. Nilekani points to a far more profound transformation. He envisions AI as a catalyst for democratizing access to technology and knowledge, a powerful force capable of shifting the very foundations of power dynamics. Historically, knowledge and the ability to leverage it have been concentrated in the hands of a select few. Nilekani believes AI has the potential to level the playing field, empowering individuals and smaller organizations with capabilities previously reserved for large corporations and governments.
However, realizing this potential hinges on a critical prerequisite: a robust and scalable data infrastructure. Nilekani repeatedly stressed that data isn't just a component of AI; it's the fuel that powers it. "Investing in data infrastructure isn't optional; it's foundational," he explained. "Organizations need to move beyond simply collecting data to structuring it, cleaning it, and making it readily accessible for AI algorithms to learn from." This requires not only investment in technology - cloud storage, processing power, and data management tools - but also a significant upskilling initiative to enhance data literacy across the workforce.
This isn't solely a corporate responsibility, Nilekani argues. Governments have a crucial role to play in fostering an environment conducive to responsible AI development and deployment. He called for collaborative frameworks that address ethical concerns, ensure data privacy, and mitigate potential biases in AI algorithms. The absence of such frameworks, he warned, could lead to unintended consequences and exacerbate existing inequalities. "We need proactive regulation that encourages innovation while safeguarding against potential harms," he stated.
The need for responsible AI development is particularly acute given the potential for AI to impact the labour market. While AI promises to create new jobs, it will also undoubtedly automate existing ones. Nilekani highlighted the importance of investing in reskilling and upskilling programs to prepare the workforce for the jobs of the future, emphasizing the need for continuous learning and adaptability. The focus, he suggested, should be on developing uniquely human skills - creativity, critical thinking, and emotional intelligence - that are difficult for AI to replicate.
The implications extend beyond the corporate and governmental spheres. Nilekani's vision of democratized AI access hinges on making the tools and knowledge necessary to create and deploy AI solutions available to a wider range of individuals and communities. This requires addressing issues of affordability, accessibility, and digital inclusion. Initiatives such as open-source AI platforms, accessible educational resources, and community-based AI labs could play a vital role in bridging the digital divide.
Nilekani's comments align with a growing global consensus that AI is poised to reshape the world in profound ways. While challenges remain, his optimistic outlook underscores the transformative potential of this technology - not just for businesses seeking to improve their bottom line, but for society as a whole. The key, he emphasizes, is to approach AI not as a fleeting trend, but as a systemic shift that demands a proactive, collaborative, and responsible approach.
Read the Full moneycontrol.com Article at:
[ https://www.moneycontrol.com/artificial-intelligence/ai-is-a-root-and-branch-reset-for-businesses-says-infosys-nandan-nilekani-article-13831750.html ]
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