Article -> Article Details

Artificial intelligence is not just one technology; rather, it is an umbrella of advanced simulated intelligence technologies. These technologies are capable of performing tasks that previously needed human intelligence. AI is a set of techniques working through tools, platforms, and agents. All these technologies are a subfield of artificial intelligence and thus can be called AI-powered. In this blog, let us understand 2 important technologies under the AI umbrella: AI agents vs Agentic AI and how they differ from each other.  

AI Agents vs Agentic AI: Why to Know the Difference 

With more and more business owners updating their work with AI technology, it is important to understand what AI brings to the table. When most of the market is shifting towards AI-powered businesses, everyone must implement AI and remain competent. Before considering AI adoption in your businesses, you must be well-versed in AI-related terminologies and technologies. This guide will help you understand the difference between similar-sounding AI agents vs Agentic AI. The key difference between these two technologies is not in their foundation, but in their potential to facilitate autonomy in functions. This difference is because agentic AI is an entire AI-based system, while AI agents are their building blocks. Let us see how they differ briefly.  

What Are AI Agents? 

AI agents are customer-facing, task-focused AI tools that are trained to perform specific jobs. Their function is job-specific and goal-oriented. These agents help automate repetitive tasks or address customer queries, but in a limited manner. Their training is specific, and it does not offer much flexibility or deviation from its role. Let us see the classification of AI agents based on their tasks: 

• Learning Agents 

Learning agents are the ones that learn from a dataset as well as from experience. These agents are like chatbots that keep improving with every conversation.  

• Utility-based Agents 

These agents can make decisions by calculating possible outcomes of situations.  

• Goal-based Agents 

Goal-based AI agents focus on achieving specific goals. The are automatic systems that only target task completion.  

• Reflex Agents 

These AI agents can give a response to inputs, depending on their training data. It would bring you a price chart when you ask for a quotation.  

• Model-based Agents 

Model-based agents utilize their environment and an internal representation to make smarter decisions. 

What is Agentic AI? 

Agentic AI is a system that can make decisions, learn, adapt, take actions, and involve reasoning. Differing from AI agents, agentic AI utilizes varied and multiple agents to function, learn, make decisions, and adapt with experiences. Agentic AI functions in 4 stages, viz: 

• Perception: Collecting data from the surroundings 

• Reasoning: Understanding context based on data 

• Action: Deciding on the action plan accordingly 

• Learning: Improving and adapting with experience 

Core Differences of Agentic AI vs AI Agents 

The most crucial point of difference between AI agents and agentic AI is autonomous decision-making. AI agents work within their specific limitations. Their flexibility of deviation, learning, and adaptability, everything is within these limits. On the other hand, agentic AI is way more advanced and comprehensive. It can take autonomous decisions, it can reason, take a proactive approach to achieving goals and resolving issues, learn, calculate, and adapt in real-time. This is the major difference between AI agents vs agentic AI.  

Conclusion 

Many industries are automating their workflows rapidly. The automation of processes involves the implementation of both agentic AI and AI agents. These two terms are often used interchangeably, but they differ in their autonomous capabilities. AI agents are specific building blocks that are leveraged by Agentic AI for broader purposes. If you are planning to implement AI in your organization, get in touch with a reliable AI development company like AnavClouds Analytics.ai and book a consultation session. Prepare your business for an AI-powered growth boost with expert generative AI solutions.  

Source: https://www.anavcloudsanalytics.ai/blog/ai-agents-vs-agentic-ai/