Imagine an AI assistant that greets you every morning as if meeting for the first time, unable to recall yesterday’s conversations or learn from past
Imagine you walk into a massive department store and shout, “I need help!” into the void. A guy from the plumbing department might show up, or maybe the person who decorates the window mannequins. You’ll get help, sure, but it might not be the help you actually wanted. AI is the same way.
In 2026, the intersection of Agentic AI and Crypto has moved from theoretical whitepapers to the bedrock of a $3 trillion productivity economy. The defining shift is the transition from “Read-Only” AI that analyzes charts to “Write-Enabled” agents—autonomous entities with their own on-chain identities and financial agency.
Buddhism and AI both suggest that the “self” is an elaborate illusion. Just as the Buddhist concept of Anatta posits that a person is merely a flow of changing perceptions, an AI is a flow of shifting mathematical weights. Neither contains a permanent soul; instead, both are “empty” systems that derive meaning solely through their vast interconnectedness with the world around them.
Large Language Models (LLMs) like GPT and BERT revolutionize AI by processing and generating human-like text using vast datasets and transformer architectures. They excel in natural language tasks but come with ethical and technical drawbacks. This essay examines their pros and cons across industries and society.
In 2026, agentic AI has emerged as a transformative force in the business landscape, shifting from passive tools to autonomous systems capable of pursuing goals, making decisions, and orchestrating complex processes with minimal human oversight. Unlike earlier generative AI models that primarily assisted with content creation or data analysis, agentic AI agents act as strategic partners, adapting to dynamic environments and driving outcomes across industries.