AGENTIC AI AND THE STOCK MARKET

The objective of regulation should be to channel it in the right direction

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Imagine a world where artificial intelligence could predict stock market movements with accuracy. It sounds like a dream come true for investors and traders. But, what if that dream could turn into a nightmare? As artificial intelligence continues to advance at an unprecedented pace in the 21st century, the concept of applying agentic AI to stock market prediction has captured the attention of both researchers and institutions that deal with revenue and finance, but not in a good way. Agentic AI is the AI system that can autonomously accomplish any goals and take any action without being dependent on human supervision.

While generative AI starts being put into effect with certain prompts and instructions only when an interaction takes place, agentic AI has the ability to take initiative for an action, learn, solve and adapt according to the changing circumstances without any need for a prompt or interaction.

Agentic AI refers to artificial intelligence systems that are capable of autonomous action. These systems, often referred to as AI agents, can pursue goals independently, without direct human intervention. To do so, they use advanced techniques such as reinforcement learning and evolutionary algorithms (TechTarget, 2024)

An agentic AI system is designed to make decisions, handle complex situations and, in some cases, adjust its behaviour autonomously.