AI news story

AI, AI Agents, and Agentic AI, Explained With One Birthday Cake

The difference between AI, AI agents, and agentic AI, explained simply with one birthday cake , plus how each really works.

  • AI
  • Source: Towards AI
  • Published: 2026-06-01
  • Signal score: 5
  • 4 sources

Editor's take

A recent explainer likens AI, AI agents, and agentic AI to components of a birthday cake, demystifying their distinct functionalities. This distinction is crucial as the industry moves beyond static models like GPT-3.5 towards more autonomous systems capable of planning and executing multi-step tasks, impacting everything from personal assistants to complex industrial automation.

The focus on agentic AI, exemplified by systems that can independently pursue goals, signals a significant shift in AI development. It moves the conversation from a tool to a collaborator, raising questions about responsibility, control, and the potential for emergent behaviors from increasingly sophisticated agents.

Future developments to monitor include the practical deployment of these agentic systems in real-world scenarios beyond controlled environments. Specifically, observing the performance and safety of agents tasked with complex, open-ended problem-solving, such as those seen in early research at Google DeepMind or OpenAI, will be key.

Signal score: 5

This event was corroborated by 4 independent sources. The signal score weighs cross-source corroboration, recency, source weight and topic salience. How we rank stories.

Original reporting

This story summarises reporting published by Towards AI. Read the original article at Towards AI.

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