Issue 13 · Nov 2–8, 2026Editions · Glossary · Archive · Method · RSS · HU / ENG

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agentic AI

in English: agentic AI

basicspreading

Artificial intelligence that not only answers your question but also carries out the goal it is given on its own, in several steps, using tools.

In plain terms

A traditional chatbot is like a smart advisor: you ask, it answers, and you do the work. Agentic AI is more like a reliable assistant to whom you only need to say: 'organize next week's team building,' and it will check venues, request quotes, coordinate calendars, and then report the results.

The essence is autonomy. Agentic AI does not provide a single answer but breaks the task down into steps itself, decides which tool to use for what (search engine, email client, spreadsheet, program code), and if something fails, tries again differently.

The term "agentic" describes a mode of operation, not a specific product. Programs that work this way are called AI agents. They are designed to take lengthy, multi-step tasks off your shoulders, but the responsibility remains with you.

How it works

  1. It receives a goal: you do not give it step-by-step instructions but tell it what you want to achieve, for example, 'gather the three best offers'.
  2. Planning: the language model behind it breaks the goal into subtasks and establishes an order.
  3. It acts: it uses tools, meaning it searches the web, opens files, fills out forms, runs programs, or sends requests to other systems.
  4. It checks and corrects: it reviews the result of the previous step and decides on the next based on that; if it finds an error, it modifies the plan.
  5. It pauses or asks for clarification: once finished, it reports back, and at sensitive steps (payment, deletion, sending emails) it ideally requests your approval.

An everyday example

You ask your AI assistant to find a weekend train ticket and accommodation in Pécs for under 60.000 forints. You do not get links; instead, the agent checks the schedule and accommodation sites itself, assembles the package, and only asks if it can proceed before booking.

Who is affected

employeeAgents are increasingly performing some repetitive office tasks (data collection, correspondence, report preparation), shifting your work toward task assignment and verification. → Work & HR
entrepreneur, executiveYou must decide which processes to entrust to agents, with what level of permissions, and who is liable if they err.
developerCoding agents already write, test and fix pieces of code on their own, fundamentally changing daily work. → Code
everyoneIn customer service, shopping, and administrative tasks, you will increasingly encounter an agent, not a human.

A common misconception

MythAgentic AI is a self-willed, self-aware machine that does what it wants.
In realityIt has no intent of its own: it pursues the goal given to it using the tools and permissions it received. Its autonomy means it chooses the steps itself, but not the goal.

Limits and risks

Similar, but not the same

Related concepts

A brief history

The idea of independently acting programs (software agents) has been present in AI research for decades. The term 'agentic AI' became widespread in 2024, partly due to Andrew Ng's promotion. By then, large language models were already capable enough of using tools to enable practical applications. In October 2024, Gartner listed it as the top strategic technology trend for 2025.

Where things stand

At the end of 2026, AI is already a daily working tool in software development, research and customer service, though many companies are still at the experimental stage. Questions of reliability, security and liability remain open.

Status: 2026 November

In the news

Appears in 77 Agent Age stories; the curve shows weekly occurrence in the news magazine.

Also known as

agentikus AI · agentikus MI · agentic AI · agent-based AI · agentic AI · agentic AI · agentic artificial intelligence · agentikus rendszerek

This entry was machine-edited and has undergone machine expert review; the “In the news” section updates automatically from Agent Age stories.