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GlossaryAgentsIntermediate

Agentic era

Also written: AGI era, AGI, Agent-first, Agent era

A time when AI systems act independently to perform complex tasks and make decisions.

In plain terms

The agentic era is a future where AI programs can work on their own to complete jobs. Instead of just following direct commands, these AI agents can figure out what needs to be done and how to do it.

Think of an AI agent that can book your travel. You might tell it your destination and dates, and it would then find flights, book hotels, and arrange transportation, all without you needing to approve each step. This is different from current AI tools that usually need specific instructions for each action.

The expert version

The agentic era describes a phase in AI development characterized by the widespread deployment of autonomous AI agents. These agents are designed to perceive their environment, make decisions, and take actions proactively to achieve defined goals with minimal human oversight. This contrasts with earlier AI systems that primarily responded to direct user prompts or executed pre-programmed sequences.

Why it matters now

Recent news highlights advancements in AI models like Google's Gemini Flash, emphasizing speed and cost efficiency for agentic tasks. This suggests a growing focus on making AI agents more practical and accessible for complex operations, moving towards a future where these agents are central to AI development and deployment.

Where it shows up 12 items, newest first
How each company uses it
Google Gemini
Google's Gemini models are being developed with a focus on speed and cost reduction for AI agent tasks, indicating their integration into this agent-first approach.
OpenAI ChatGPT
OpenAI's focus on managing AI investments in the agentic era suggests they see AI agents as a key driver of value beyond simple usage metrics.
Related terms

AI agentAutonomous systemsMulti-agent systemsPrompt engineeringAI orchestrationArtificial general intelligence

Often confused with
Automation
Automation refers to systems that perform tasks automatically, but o
Robotics
Robotics involves physical machines performing tasks, while agentic AI
Origin

The term 'agentic era' emerged from discussions within the AI research community and industry, reflecting the anticipated shift towards AI systems exhibiting greater autonomy and proactive goal-seeking behavior.

Try this about 5 minutes

Ask your current AI assistant to plan a hypothetical trip. For example, ask it to 'plan a 3-day trip to Paris for two people, focusing on art museums and local cuisine.' Observe how much detail it provides and if it suggests next steps or requires further prompting for each element.

Try it: Playbook entries that use thisPlaybook →

The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.

Questions people ask

What is the difference between an AI agent and a chatbot?
A chatbot typically responds to direct user input. An AI agent can take initiative, make decisions, and perform a series of actions to achieve a goal with less direct supervision.
Will AI agents take jobs?
The agentic era may change the nature of work, automating some tasks and creating new roles focused on managing and directing AI agents.

First seen on Subvolts Nov 18, 2025. Updated Oct 12, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.