Artificial intelligence is moving from just giving answers to questions to something more. It’s moving to agents, which are designed to not only respond to things, but to do things. It’s significant because it changes artificial intelligence from something to talk to to something to do with.
For instance, AI agents may sound like another term for artificial intelligence. Many people may think it means a more intelligent chatbot. However, it’s not exactly that. The main difference between the two is that the chatbot only gives answers to things, whereas the AI agent does things to achieve an objective.
What an AI agent actually is
An AI agent is an artificial intelligence program that can accept an objective, break it down, and do things to achieve it. It’s not only designed to respond to things; it’s also designed to interact with things, retrieve things, make decisions, and do things to achieve an objective.
That’s the main difference between an AI agent and another artificial intelligence program. An artificial intelligence program may be able to explain how to solve an objective. An AI agent can help solve it by doing things to achieve it. In simple terms, the chatbot talks, whereas the AI agent does things.
How AI agents are different from chatbots
This is one of the most important differences to understand. The main difference between the two is that chatbots are typically reactive, meaning they get input, respond, and then stop. On the other hand, an AI agent is typically active, meaning it is designed to keep going until it achieves the desired goal.
For instance, an AI chatbot can give you information on how to book a flight, what steps you should take, and so on. On the other hand, an AI agent, in theory, could book the flight for you, or at least help you in the process. It is this ability that makes an AI agent seem like the next step after an AI chatbot.
How AI agents work
The majority of AI agents work in a cycle. The user gives the system a goal, and then the agent interprets that goal and determines what needs to be done. It can then gather information, make calls to other tools, and so on, and then determine what the next step should be.
What makes this so exciting is that the agent does not have to be limited to one response. It can work over multiple steps, and that makes it so exciting.
Where are AI agents most useful?
One of the best things about an AI agent is that they are most useful in situations where there are multiple steps that can be repeated. This is why people are so excited about their potential in research, scheduling, coding, and so on.
Rather than putting the individual in charge of every small detail, the agent can assist with the more tedious aspects of the process. In this case, the value of the agent is not that it possesses knowledge. It is that it is able to use that knowledge.
Why people are excited about them
The reason that people care so much about AI agents is that they represent a significant shift in the use of AI. Previous AI technologies were only seen as useful as tools that could assist with answering questions, creating summaries, or generating content. An agent is the next step in this progression. An agent is the use of AI as a tool.
This is a significant shift. It means that the AI is no longer limited to the role of a conversationalist. It is able to become part of the process. It is able to assist with the completion of a process that would otherwise require a significant amount of time and effort.
Where AI agents start to fail
The issue is that action is far more difficult and far more dangerous than conversation. While the consequences of a bad answer from a chatbot may be significant, the consequences of a bad decision from an agent may be far more so.
Agents may misunderstand the goals of the process, select the wrong steps, use the wrong information, or take actions that may seem right but are ultimately wrong. As the role of the agent becomes more significant, the more important it is that the agent is used appropriately.
This is where the excitement over AI agents needs to be tempered with a sense of reality. Agents are indeed powerful tools. However, this does not necessarily mean that they are reliable simply because they are capable of taking action.
Why humans still matter
This is the part that matters the most. Even if agents are going to be far more capable, humans are still going to be necessary. They are the ones determining what the goal really is. They are the ones determining what kind of trade-offs are acceptable. They are the ones reviewing what has been accomplished and determining what went wrong. They are the ones accepting blame when something matters.
In fact, the more capable agents are, the more important this part of the process becomes. The more an agent can accomplish, the bigger problem a single mistake can become. This means that the human review process is not simply a sideshow. It’s become even more important.
While agents may be capable of getting the work done, this does not necessarily mean that they are capable of getting the work done with judgment, accountability, or critical thinking. These are still human traits.
The takeaway
The reason that AI agents are important is that they are a real shift in the way that artificial intelligence is being utilized. Agents are not simply responding to a prompt. Instead, they are being created to accomplish goals, to use tools, and to take action over a number of steps. This makes them more useful, more powerful, and more dangerous.
The rationale behind this is quite simple. The reason is that the AI is shifting from passive assistance to active participation. However, even with this, human intervention is still needed. The future of AI agents is not about what they can accomplish on their own. It is about what humans can accomplish with them.
Sources
OpenAI. A Practical Guide to Building AI Agents. https://openai.com/business/guides-and-resources/a-practical-guide-to-building-ai-agents/
OpenAI Developers. Agents. https://developers.openai.com/api/docs/guides/agents/
Anthropic. Building Effective AI Agents. https://www.anthropic.com/research/building-effective-agents
IBM. What Are AI Agents? https://www.ibm.com/think/topics/ai-agents
IBM. AI Agents vs. AI Assistants. https://www.ibm.com/think/topics/ai-agents-vs-ai-assistants