15 Types of AI You Need to Know About in 2025

In the 21st century, artificial intelligence (AI) isn’t just a fantasy. In our daily lives, we rely on AI in many aspects. Day by day, AI is evolving and opening new branches for different specialized purposes. 

Therefore, it’s important to know about different types of AI. 

There are Narrow AI, General AI, Machine Learning, Deep Learning AI, and Robotics. Narrow AI provides virtual assistants like Siri. Deep Learning imitates the human brain, and the others are super powerful as well.

Today, in this article, we will dive into different types of AI and provide a detailed breakdown of their specific performances. Let's get started!

What Is Artificial Intelligence?

Artificial Intelligence (AI) is a system where machines are designed to have human-like intelligence. These machines can learn, think, and solve problems like the human brain. 

AI generally learns from data and improves over time. It can make decisions logically, analyzing the data and patterns given to it. By this, it performs human-like tasks but faster.

AI is so much infused into our daily lives that almost every tool or app we use has AI. For example, your smart devices in the house, like Alexa and Siri, use AI to obey your commands and adjust security, temperature, or volume automatically. 

In addition, your Netflix recommendation comes from analyzing your algorithm by AI. It's not just a feature anymore; it's a necessity. 

15 Types of AI to Use in 2025

We already have a thorough idea about AI, so let's find the answer to the question, “What are different types of AI?” Here are 15 types of AI you should know about:

Now, let’s see how each of them is designed to perform specific tasks.

1. Narrow AI (Weak AI)

This type of AI is designed to perform a few specific tasks. They can't perform any complex task that isn't previously programmed into the system. 

The narrow AI type is the most famous and natural AI we use. It's called weak AI because it can't perform or think beyond the pre-defined set of information. 

Examples of Narrow AI 

2. General AI (Strong AI)

Unlike Narrow AI, this type of AI is integrated with human-like abilities to think, learn, or act. It can tackle new situations and solve problems easily by its intelligence. 

Similar to the human brain, General AI aims to design machines in a way independently. General AI is still in theoretical practice, therefore it has the potential to provide a significant amount of help in different sectors. 

Examples of General AI

3. Artificial Superintelligence (ASI)

Unlike Narrow AI, which performs specific tasks, or General AI, which has human-like intelligence, Artificial superintelligence or super AI is a far more advanced level of artificial intelligence. Compared to the previous two, this one surpasses every aspect.

For problem-solving, emotional intelligence, and even wisdom, this type will be extremely reliable. As it's still theoretical, it can be assured that in the near future, it'll be more reliable than human abilities. 

Examples of Artificial Superintelligence

As nothing can surpass a human brain and Superintelligence AI is still in the theoretical stage, there isn’t any solid example. However, here are some examples which can be taken as the foundation of this specific type of AI- 

4. Reactive Machines

Reactive machines are one of the most basic types of AI. They don’t possess any past memories, data, or experience but rather analyze the present situation. This system acts on the present situation based on the pre-programmed data. 

Reactive machines have quite limited functionality, but it's consistent, efficient, reliable and very accurate. 

Examples of Reactive Machines AI

5. Limited Memory

Unlike the Reactive Machines, Limited Memory AI is quite an advanced form of artificial intelligence. These AI systems improve their ability and quality by analyzing past data and making the best decisions. 

For smarter outcomes in any decision, they go through the past data and patterns, and based on that, they predict the most reliable decisions.

Examples of Limited Memory AI 

👉 Find out the Limitations of Artificial Intelligence

6. Theory of Mind AI

Theory of mind AI is such an advanced type of artificial intelligence that it's still in the experiment stage. Experts are working to make this system able to understand human emotions and beliefs or predict human interaction. 

Simply the system will work to understand the human intuitively and empathetically. By learning the users’ requirements for a pattern of behavior, it can improve adaptability more. 

Examples of Theory Mind AI

7. Self-aware AI

This is the ultimate goal of artificial intelligence. Just like the name suggests, these machines will have the same level of consciousness as humans.

This type will have not only intelligence or data but also self-awareness, a sense of identity, and emotions. It's still in the theoretical stage. 

Examples of Self-Aware AI

As mentioned before, this type of  AI exhibits self-awareness as human awareness. There is no such solid example of this AI, but it has excellent potential for the future.  

8. Hybrid AI

Hybrid artificial intelligence combines different types of AI systems and techniques. All these make it more powerful and flexible. It helps in solving difficult problems by blending all approaches. 

This one is an innovative type of artificial intelligence that tackles complex situations more effectively and accurately. It works by using different AI methodologies together rather than one single traditional one. 

Examples of Hybrid AI

9. Machine Learning AI(ML)

This is another category of artificial intelligence that allows the machine to analyze the data and improve its performance without direct supervision.

There can be supervised, unsupervised, semi-supervised machine learning. All of these basically focus on developing the algorithm of devices based on data. This system improves their performance by exposing them to more information. 

Examples of Machine Learning AI 

10. Deep Learning AI

Deep learning is a subset of machine learning. This AI works like the human brain. This process is solely inspired by the way the human brain learns and processes functions. 

Deep learning is used for analyzing large amounts of data like documents or images, to discover required patterns and features. 

Examples of Deep Learning AI

11. Natural Language Processing (NLP)

Natural Language Processing(NLP), this system helps machines to understand, generate, and interpret human language.

It can analyze the text and extract the summarized version and intention. In addition, it also translates text or speeches along with text generation. 

Examples of Natural Language Process(NLP) 

12. Robotics

Just like the name suggests, robotics work on constructing, designing, or operating robots using computer science or engineering programs. 

These AI-infused robots can think, work, or sense independently in any situation. It enhances the decision-making ability, too, for better precision. 

Examples of Robotics

13. Computer Vision AI

Here, the AI enables the computers to understand or analyze data from the real world, like pictures or videos. By interpreting the world visually, it's used in various applications. 

It can mimic human vision and analysis or detect any object or pattern that can be overlooked by human eyes. 

Examples of Computer Vision AI

14. Expert Systems AI

This is a branch of AI where facts, rules, and knowledge are used to provide solutions, recommendations, or solve problems. It relies on knowledge-based data, particular information, and an engine for interference algorithm. 

The interference engine and knowledge domain can provide and predict insights.  It's one of the reliable segments of AI to predict insights and solve complex tasks. 

Examples of Expert System AI

15. Edge AI

Edge AI is a kind of smart brain that's infused directly into devices, which makes it easier to make decisions on their own without seeking help from the powerful cloud computer. 

Moreover, Edge AI enables faster processes and enhances privacy. As this system does not need to travel far away to get into the data center, It enhances data privacy, reduces latency significantly, and makes reliable decisions. 

Examples of Edge 

Types of AI for Different Purposes

Here are some artificial intelligence tools used for different kinds of purposes- 

AI for Data Analysis

Machine Learning Data(ML) or Deep Learning helps in analyzing huge amounts of data and extracting efficient information and reliable insights. It can be helpful for finance companies, stock market trades, or make investment recommendations. 

AI for Personalization

Natural Language Processing (NLP) offers customizing your content recommendations or preferences. You can have your preferred shows on Netflix or music on Spotify or YouTube. Online shopping websites use this AI, too.   

AI for Automation

Robotics process automation or Limited Memory AI helps to administer repetitive tasks to reduce human supervision and increase capabilities. It helps in manufacturing robots to assemble cars or chatbots in customer service. 

Related Read: Best Marketing Automation Software 

AI for Predictive Analysis

Machine learning helps by using past data to make predictions or solve any situation. E-commerce sites or weather forecasting use this type of AI. 

AI for Interaction and Communication

Now, with artificial intelligence, you can interact with chatbots or virtual assistants like Alexa or Siri. The NLP or theory of mind allows the device to communicate with humans directly, enhancing user experience. 

AI for Decision Support

Expert systems analyze vast amounts of data and recommend strategic movements. It also helps in providing better insights and solutions. 

FAQs

What are the two categories of AI?

The two main categories of AI are weak AI (Narrow AI), which handles specific tasks (like chatbots), and Strong AI (General AI), which can perform any intellectual task like a human (theoretical).

Is ChatGPT an AI?

Yes, ChatGPT is an AI. It uses Narrow AI (Weak AI) to understand and generate human-like text based on patterns in data. However, it doesn't possess general intelligence or consciousness.

What Type of AI is Dorik?

Dorik is an AI website builder platform that likely uses Narrow AI (Weak AI) for specific tasks like design assistance or automation. It focuses on particular functions, such as layout suggestions and customization.

Conclusion

Now, artificial intelligence is simply ruling over the world. Its revolutionary power is changing the systems from simple Chatbots to almost human-like robots.

There are now many types of AI and each type plays vital roles to achieve specific gains. So, coping with all types will help you be updated with the futuristic world of AI.

And you know the best part?! This is just the beginning of AI evolution!