It's truly invigorating to see the conversation around India's technological future evolving with such clarity. The statement from Jhunjhunwala, emphasizing that "Designing, developing products in India [is] key to tech leadership," deeply resonates with a perspective I have championed for years. For too long, India has been a global powerhouse in IT services, but true leadership, the kind that shapes the future, inevitably hinges on our ability to create and own the foundational technologies and products.
When I look at the incredible advancements spearheaded by global giants like NVIDIA—with their cutting-edge AI computing, digital twins, and high-performance computing solutions NVIDIA.com—it underscores the importance of not just adopting technology, but creating it. This isn't merely about assembling components; it's about conceiving, designing, and engineering solutions from the ground up, tailored to our unique needs and aspirations.
I recall quite distinctly the thoughts I shared years ago, which now feel profoundly validated. Back then, I foresaw the "irresistible allure of AI for investors and innovators alike" within India, and how it would rapidly transform industries. I highlighted banking innovations, such as interactive screens powered by AI, as early indicators of this shift AI Embedded Infosys. I also pointed out how AI financial advisors were democratizing access to sophisticated financial tools, predicting that "increasingly powerful trading and financial management bots will come online, finding massive new and previously lost streams of wealth" Financial Inclusion: Here Is the Future.
The core idea I've always wanted to convey is this: I had brought up this thought about India's need for indigenous tech and AI solutions years ago, and it's striking how relevant that earlier insight still is today. I even penned a note to Shri Narendrabhai Modiji, arguing that India's GDP growth must run on a "totally DIFFERENT TRACK – a track solidly resting on the foundation of ARTIFICIAL INTELLIGENCE (AI)" to drive self-employment and fully exploit data FW: Attn Shri Narendrabhai Modiji…. Reflecting on it today, I feel a sense of validation, but also a renewed urgency to revisit those ideas, because they clearly hold value in the current context.
It's truly encouraging to see this vision now taking tangible form. Jensen Huang, NVIDIA's CEO, recently declared at the NVIDIA AI Summit that "India Should Manufacture Its Own AI" Our Own AI Systems on the Way. This call to action is being answered by collaborations like the RIL-Nvidia partnership, aimed at building large-scale AI infrastructure right here in India, transforming traditional businesses into AI-driven enterprises Largescale AI Infrastructure.
Moreover, the aspiration to replicate the "UPI magic with AI" is a powerful metaphor for our potential to create impactful, inclusive, and indigenously developed technological solutions for millions UPI Magic with AI. This mirrors my long-held belief that AI can not only enhance efficiency but also democratize access and bridge societal gaps. Jensen Huang's further advice for Indian IT to "hitch an AI ride to front office" emphasizes that this isn't just about back-end innovation, but about transforming customer-facing functions with locally developed, cutting-edge AI Hitching an AI Ride.
Our journey towards tech leadership isn't just about adopting; it's about authoring. It's about taking the reins of innovation and building the future right here in India, for India, and ultimately, for the world.
Regards,
Hemen Parekh
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