Agentic AI Isn’t Just Reshaping Productivity in 2026 — It’s Creating a New Class of Winners and Losers

A December 2025 blog post by Kunal Chowdhury argues that agentic AI will be the most significant shift in technology since the launch of ChatGPT, calling it the 'biggest winner of 2026.' The post defines agentic AI as autonomous systems that can plan, call tools, and execute multi-step workflows across different applications. These persistent, goal-directed agents represent a move away from single-turn LLM interactions toward coordinated, end-to-end task automation. The author compares this shift to the difference between asking a chatbot a single question and having a dedicated assistant that works toward a complex goal over time.

The blog post provides real-world examples of agentic AI in action, including customer support automation, sales outreach, and internal process automation. It also offers practical steps for businesses to integrate agentic capabilities into their workflows. Industry context suggests growing practitioner interest in agentic tooling, with teams prototyping agents for tasks like coordinating APIs, RPA, and retrieval systems. Key considerations for adoption include orchestration, tool safety, and observability. Early standards are emerging around safety controls such as rate limits, tool permissions, and human-in-the-loop checkpoints.