From LLMs to Superintelligence, Vijay Kedia Decodes AI Stack for Investors Vijay Kedia, a prominent investor and founder of Kedia Securities, has outlined the evolution of artificial intelligence (AI) in the stock market, tracing its progression from basic tools to potentially autonomous systems capable of making superior investment decisions. In a recent social media post, Kedia compared the layers of AI to stages in an investor’s journey, emphasizing how technology is transforming the field from reactive advice to intelligent, adaptive systems. At the foundational level, Kedia described large language models (LLMs) such as ChatGPT and Gemini as akin to market experts. These tools provide insights and answers to stock-related queries but stop short of executing trades. The next stage, termed “agentic AI,” goes further by not only offering analysis but also executing small trades independently. This represents a shift from passive information provision to active participation in the market. Kedia then introduced the concept of “multi-agent” systems, where multiple AI programs collaborate to perform distinct functions. One agent identifies investment opportunities, another manages risk, and a third executes trades, mirroring the structure of a human-led investment team. This stage reflects a more sophisticated integration of AI, enabling coordinated decision-making across different aspects of portfolio management. Looking ahead, Kedia highlighted the potential of Artificial General Intelligence (AGI), which he envisioned as a single, unified investor mind capable of researching, analyzing, and allocating capital across markets without human intervention. Beyond AGI lies “superintelligence,” a hypothetical stage where AI could surpass human capabilities in understanding market cycles, trends, and opportunities.#gemini #chatgpt #the_economic_times #vijay_kedia #kedia_securities
