---
title: Understanding the different types of AI
description: For professionals looking to use AI in their operations, understanding the different types of AI is crucial. Here’s a guide to the primary categories of AI
---

# Understanding the different types of AI

![Mark Pearce](https://app.hubspot.com/settings/avatar/d41d8cd98f00b204e9800998ecf8427e)

 Mark Pearce

06 January 2025

Understanding the different types of AI

2:52

Artificial Intelligence (AI) is a cornerstone of modern business, driving innovation and efficiency across industries. However, AI encompasses a broad spectrum of technologies and capabilities. For professionals looking to leverage AI in their operations, understanding the different types of AI is crucial. Here’s a guide to the primary categories of AI:

### Artificial Narrow Intelligence (ANI)

ANI refers to AI systems designed to handle specific tasks. These systems are highly specialised and cannot perform tasks outside their designated functions. Fine-tuned language models, such as those based on GPT-4, Mistral, BART, Bert, Llama, and T5, primarily fit within this category. Examples include:

- **Voice assistants: **Siri, Alexa, and Google Assistant use narrow AI to process voice commands and provide responses.
- **Recommendation engines: **Netflix and Amazon use algorithms to suggest products or content based on user preferences.
- **Image recognition: **Applications like facial recognition in security systems or diagnostic imaging in healthcare.

ANI is prevalent in our daily lives, offering targeted solutions to well-defined problems. Subcategories of ANI include:

- **Reactive machines** - they can react to specific inputs with programmed responses but do not have memory or the ability to learn from past experiences. These systems are excellent at performing a single, well-defined task.
- **Limited memory** - systems can use historical data to make decisions and improve over time. This type of AI is used in applications like self-driving cars, which analyse past data to navigate roads and avoid obstacles. Unlike reactive machines, these systems can learn from their experiences to a certain extent, enhancing their performance.

### Artificial General Intelligence (AGI)

AGI is a more advanced and theoretical form of AI with the ability to understand, learn, and apply knowledge across a wide range of tasks, like human intelligence. It remains a concept rather than a reality. The development of AGI would mean creating systems capable of performing any intellectual task that a human can do, potentially transforming every aspect of our lives and industries. Subcategories of AGI include:

- **Theory of mind** - still in the research phase. It aims to understand human emotions, beliefs, and intentions, allowing for more sophisticated and human-like interactions.
- **Self-aware AI** - represents the pinnacle of AI development, where machines possess self-awareness and consciousness. This concept is purely hypothetical at this stage.

### Artificial Super Intelligence (ASI)

ASI goes beyond human intelligence, capable of outperforming humans in every aspect, from creativity to complex problem-solving. This type of AI is purely speculative and raises significant ethical and existential questions.

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