Quick Answer: Nearly the same thing, at two levels of grammar. An AI agent is a noun: one system that takes a goal, picks its own steps and uses tools. Agentic AI is the category, and "agentic" is a property a system has in degrees. Every AI agent is agentic AI. Not every agentic system is an agent.
Search ai agents vs agentic ai and you get three answers that can't all be true. One says agentic AI is the thinker and agents are the doers. Another says agents are products and agentic AI is a capability. A third says agentic AI means many agents working together.
They disagree because nobody published a standard. But the two sources the word "agentic" is usually traced to were clear about what they meant. Here is what each source actually says, which version holds up, and the question that matters more than the label. The examples come from what we build at cowork.ink: AI coworkers that each have their own computer.
AI agents vs. agentic AI: the short answer
"Agent" is the noun. "Agentic" is the adjective. An AI agent is a thing you can point at and deploy. "Agentic" describes how much a system acts on its own. "Agentic AI" is the whole category of AI that behaves that way.
| AI agent | Agentic AI | |
|---|---|---|
| Part of speech | Noun | Adjective + noun: a category |
| Refers to | One system you can deploy | Any AI that acts toward goals, and the field around it |
| Comes in degrees? | Mostly no: a system is an agent or it isn't | Yes: a system can be more or less agentic |
| Example | A coworker that pulls the Monday report and posts it in Slack | The field that holds that coworker, agentic workflows and multi-agent systems |
| Question it answers | "What is it?" | "How much does it act on its own?" |
So the terms overlap almost completely. Every AI agent is agentic AI; not every agentic system is an agent. That one-way gap is the only real difference.
Where did the word "agentic" come from?
It caught on as a way to end exactly this argument. In a June 2024 letter in The Batch, Andrew Ng wrote that "there's a gray zone between what clearly is not an agent (prompting a model once) and what clearly is." His fix was to stop sorting systems into agent and not-agent, and to "acknowledge that there are different degrees to which systems can be agentic" (The Batch).
Six months later, Anthropic's engineering guide made the same move. It files everything under "agentic systems," then splits that umbrella in two (Anthropic):
- Workflows: "systems where LLMs and tools are orchestrated through predefined code paths."
- Agents: "systems where LLMs dynamically direct their own processes and tool usage."
That is the one-way gap in plain terms. A fixed workflow is agentic, but it isn't an agent, because code chooses the steps. Our guide to agentic workflows covers that half of the umbrella.
Agentic AI vs. AI agents: why the top results disagree
Each source drew its own line, and only some of them describe how the words are actually used. Here's how the main ones split it:
| Source | "Agentic AI" means | "AI agent" means | Tier or property? |
|---|---|---|---|
| Andrew Ng, The Batch (2024) | A property systems have in degrees | A system clearly at the agentic end | Property |
| Anthropic (2024) | The umbrella: workflows plus agents | An LLM that directs its own steps and tools | Property, with one split |
| IBM | A system that reaches a goal "with limited supervision" and "consists of AI agents" | The parts that make the decisions | Whole vs. parts |
| Sapkota et al., Information Fusion (2025) | Multi-agent coordination, task decomposition, persistent memory | Modular, task-specific LLM systems | Tier |
| Workday, Grammarly (vendor blogs) | The "thinker," or the "how" | The "doers," or the "who" | Tier |
The tier camp has a point: one agent answering tickets and a team of agents running a research project are different things. The academic taxonomy by Sapkota and colleagues is a useful maturity ladder for that.
But it isn't how the words are used. Even Gartner's own headlines use both for the same market: "agentic AI projects" in one release, "task-specific AI agents" in another. And many agents working together already have a precise name: multi-agent systems.
Say "AI agent" when you mean a specific system. Say "agentic" when you mean how much it acts on its own. If someone insists agentic AI is a tier above agents, they mean multi-agent systems, so ask them to say that.
How agentic is it? The question that beats the label
Ng's "degrees" framing is the useful part, because it turns a vocabulary fight into something you can check. Most systems sit somewhere on this ladder:
- One prompt, one answer. A chatbot. Not agentic. See AI agents vs. chatbots.
- Fixed workflow. Code decides the steps and the model fills them in. Agentic, but not an agent.
- Agent with tools. The model picks the next tool, looks at the result and loops until the goal is met.
- Agent with its own computer, on a schedule. It opens a browser, downloads files, runs the numbers and reports back while nobody is watching. This is what autonomous AI agents look like at work.
Each rung hands more decisions to the model. Each one also needs more care: tighter permissions, a human approval before anything that can't be undone, and a record of what the agent did.
Agent washing: when neither word is true
The real risk isn't mixing up the two words. It's buying a product that earns neither. Gartner calls it agent washing: the "rebranding of existing products, such as AI assistants, robotic process automation (RPA) and chatbots, without substantial agentic capabilities." In June 2025 it estimated that only about 130 of the thousands of vendors selling agentic AI were offering the real thing, and predicted that over 40% of agentic AI projects will be canceled by the end of 2027 (Gartner).
Five questions cut through it. Ask them of anything sold as an AI agent or as agentic AI:
- Does it decide its own next step, or follow a script someone wrote?
- Can it use tools, such as a browser, files or code, or does it only write text?
- Does it check its own result and try again when something fails?
- Can it start on its own, from a schedule or an event, not only from your prompt?
- Can you read what it did, step by step, after the fact?
Then it's a chatbot with a new label, whatever the landing page says. Questions 1 and 2 decide whether it is an agent at all; 3 to 5 decide whether you can trust it with work while you're away.
Hire an AI Agent That Earns the Word
At cowork.ink, the agent part is literal. Each AI coworker has its own cloud computer with a browser, files, an inbox and a code runtime, so it hands you finished work instead of instructions. You set up as many as you need, in whatever roles you need. They sign into your tools through the browser, work on the schedule you set, and post the result in Slack or Telegram, with a transcript of every run you can read and correct.
Setup takes about three minutes, and one flat price covers every coworker, their machines and the models they use: $25/month billed yearly, or $29 monthly, with a 15-day money-back guarantee. For the longer definition of the adjective itself, read what agentic AI means.