Tech
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Updated on 08 Nov 2025, 06:38 am
Reviewed By
Akshat Lakshkar | Whalesbook News Team
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Ashish Chauhan, the Managing Director and CEO of the National Stock Exchange (NSE), has shared a detailed perspective on the evolving landscape of Artificial Intelligence (AI), describing it as a profound force that will reshape human existence. He predicts AI will drive significant productivity gains across various sectors, comparable to past technological revolutions like electricity and telecommunications.
Chauhan, however, expressed reservations about how major American corporations and the US government have framed the AI narrative. He suggested that the emphasis on 'extremely costly hardware, trillion-dollar models' by US entities might be a strategy of 'hype, awe, and shock' intended to maintain control and exclude smaller countries and companies from new technologies.
He noted that since the launch of ChatGPT, there has been a concerted effort to portray AI as a superpower competition, particularly between the US and China, while depicting countries like India as lagging behind due to their economic constraints.
However, Chauhan argued that the AI field is becoming increasingly democratized, with technology costs decreasing rapidly. The pace of AI development is accelerating to a point where no single entity can easily control or own it. He pointed to the recent emergence of hundreds of highly effective 'open weight AI models' from China and other nations, which do not require massive computing power, thereby puncturing the 'hype, shock, and awe' associated with US-led AI.
Looking ahead, Chauhan conveyed considerable optimism about India's prospects. He believes India, like it benefited from the IT revolution without originating foundational technologies, will be a major winner in the AI era. He emphasized the need for Indian policymakers, organizations, and individuals to collaborate and adapt to leverage this fast-evolving situation. Chauhan also identified robotics, combined with AI, as the next significant technological race between the US and China, urging preparedness.
Impact: This news has a high impact on the Indian stock market. Ashish Chauhan's views from the head of the NSE carry significant weight, signaling potential strategic shifts and opportunities arising from AI's global development. Investors should closely monitor Indian technology companies, IT service providers, and firms involved in AI research and development, as well as companies that can adopt AI for enhanced productivity. The mention of India as a potential 'biggest winner' suggests a bullish outlook for Indian tech and related sectors. The emergence of democratized AI could also foster innovation among smaller Indian enterprises. The impending robotics race fueled by AI presents further long-term investment themes.
Rating: 8/10
Difficult Terms: * Artificial Intelligence (AI): A branch of computer science that aims to create systems capable of performing tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. * Transformative Force: An agent or power that causes a significant and fundamental change. * Democratization of Technology: The process by which access to a particular technology becomes widespread and available to the general public, often leading to lower costs and broader adoption. * Hype, Awe, and Shock Model: A strategy, often associated with technological introductions, that uses exaggerated claims (hype), impressive displays (awe), and disruptive introductions (shock) to create significant market attention and potentially deter competition. * Open Weight AI Models: AI models whose underlying code or parameters are made publicly accessible, allowing for broader community involvement in their development, modification, and application. * Compute: Refers to the processing power and computational resources required to perform complex calculations and operations, particularly relevant for AI model training and execution. * IT Race: The competitive global development, deployment, and adoption of Information Technology.