Artificial Intelligence is entering a new phase.

While generative AI focuses on creating content, agentic AI introduces systems capable of planning, deciding and acting autonomously to achieve goals.

These AI agents combine large language models with tools, memory and system access, allowing them to execute multi-step workflows with limited human involvement.

As organisations begin experimenting with agentic systems, understanding both their potential and governance challenges will be essential.

This briefing summarises the most important insights from the ICO Tech Futures: Agentic AI report (2026) and what they mean for organisations.


 

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The Evolution of AI

Traditional Software  Automation Generative AI Agentic AI

Stage Description
Traditional Software Fixed rules and deterministic processes
Automation Predefined workflows and robotic process automation
Generative AI Content generation from prompts such as text, images and code
Agentic AI Autonomous systems capable of planning, acting and learning

Agentic AI represents the next stage in the evolution of artificial intelligence, moving beyond content generation toward systems capable of planning, acting and learning to achieve goals.

 

How-Agentic-AI-Systems-Work-3
Source : ICO Tech Futures: Agentic AI Information Commissioner’s Office. Published January 2026

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