AI Evolution Decoded: Ace Investor Vijay Kedia Explains It With a Simple House-Building Analogy Veteran investor Vijay Kedia has offered a clear framework to understand the progression of artificial intelligence, drawing parallels to the process of building a house. He outlines the evolution of AI as a journey from foundational knowledge to advanced autonomy, mirroring his own investment philosophy of learning, earning, and evolving. Kedia’s analogy begins with the concept of large language models (LLMs), such as ChatGPT, Gemini, or Perplexity, which function as expert advisors. These tools provide guidance on complex tasks, much like an architect or engineer offering insights on design, materials, and timelines. The next phase, referred to as the “agentic” stage, marks a shift from passive information to active execution. Here, AI systems transition from merely answering questions to taking initiative. They can draft designs, estimate costs, and even coordinate tasks, akin to a contractor who not only advises but also oversees the construction process. This stage reflects a move from theoretical knowledge to practical application. As AI continues to advance, it enters the “multi-agent” phase, where collaboration becomes central. Instead of a single expert, a team of specialized entities—such as an architect, engineer, and contractor—works in tandem. Each component handles specific aspects of the project, with coordination ensuring seamless progress. This mirrors the growing complexity of AI systems that rely on interconnected components to achieve shared goals. The pinnacle of this evolution is artificial general intelligence (AGI), which Kedia describes as a singular entity capable of performing all tasks with human-level mastery.#artificial_intelligence #stock_market #the_economic_times #vijay_kedia #ai_evolution
