The Difference Between Strong and Weak AI?

Artificial intelligence (AI) has been making news worldwide because of the huge implications it can have on all lives. In layman’s terms, Artificial Intelligence is the field of computer science that aims to create machines and systems that can perform tasks that normally require human intelligence, such as reasoning, learning, decision-making, and natural language processing. However, not all AI systems are created equal.

Depending on their capabilities and goals, AI chatbot can be classified into two main categories: strong AI and weak AI. Our aim here is to understand the difference between them. But before that, let’s briefly examine both these terms.

What is Strong AI?

Strong AI, also known as artificial general intelligence (AGI), is the type of AI that can perform any intellectual task that a human can. Strong AI can understand and reason about the world, learn from experience, communicate in natural language, and exhibit self-awareness and consciousness. Strong AI can adapt to new situations and domains and transfer knowledge across different tasks.

Strong AI is AI research’s ultimate goal, enabling machines to surpass human intelligence and achieve artificial superintelligence (ASI). However, strong AI is also the most challenging and elusive type of AI, as it requires solving many complex and fundamental problems in computer science, mathematics, philosophy, psychology, neuroscience, and ethics. Examples of strong AI can only be found in movies and sci-fi; some of them are HAL 9000 from 2001: A Space Odyssey, Data from Star Trek, and Samantha from Her.

What is Weak AI?

Weak AI, also known as narrow artificial intelligence (ANI), is the type of AI that can perform specific tasks that require some level of intelligence but cannot generalize to other jobs or domains. Weak AI can follow predefined rules and algorithms but need help understanding or explaining their logic. Weak AI can also process large amounts of data and perform calculations faster than humans but need help to learn from data or generate new insights.

Weak AI is the most prevalent type of AI today, as it powers many applications and systems we use daily, such as search engines, voice assistants, social media platforms, recommendation systems, facial recognition systems, self-driving cars, etc. Some examples of weak AI are Siri from Apple, Alexa from Amazon, Watson from IBM, and AlphaGo from Google.

How to Compare Strong AI and Weak AI?

You may not understand the difference between Strong AI and Narrow AI, but after we discuss their details, you will be clear on the differences. Strong AI and weak AI differ in many aspects, such as:


Strong AI can perform any intellectual task that a human can, while weak AI can only perform specific tasks requiring some intelligence. This gap grows with the task and amount of data you can process with strong and narrow AI.


Strong AI can surpass human intelligence and achieve artificial superintelligence, while weak AI can only mimic some aspects of human intelligence. Even now, the use of narrow AI has been on the rise, and there is no indication of them reaching any kind of conscience.


Strong AI can understand and reason about the world, while weak AI can only follow predefined rules and algorithms. To understand this, Strong AI is expected to understand and be able to solve problems like world hunger and poverty with its computational powers.


Strong AI can learn from experience and data, while weak AI can only process data and perform calculations. Strong AI will learn over time; at some point, it may go beyond the normal understanding level and start learning and creating theories independently.


Strong AI can communicate in natural language and exhibit self-awareness and consciousness, while weak AI can only interact with humans through predefined interfaces and commands. But this may be a minor difference in a few months as the current growth in the area of Narrow AI has been able to blur the difference. While it may still be unable to produce coherent sentences or processes on its own, even by using new algorithms, the speech it produces is very similar to the human way.


Strong AI can adapt to new situations and domains and transfer knowledge across different tasks, while weak AI can only operate within a fixed scope and territory. You have to specifically program Narrow AI if you want it to perform a different task than it was intended to do in the first place.

Why Should You Learn About Strong AI and Weak AI?

Learning about strong AI and weak AI can help you in different ways:

  • Understand the current state and future trends of AI technology and research
  • Appreciate the benefits and challenges of developing and deploying AI systems
  • Evaluate the ethical and social implications of using AI systems
  • Enhance your skills and knowledge in various domains and applications of AI
  • Advance your career and opportunities in the AI industry

If you want to learn more about strong AI and weak AI, you should enroll in the online courses offered by Blockchain Council. This leading online learning platform provides comprehensive and industry-oriented chatbot certification programs.

Blockchain Council offers various courses and AI certification on chatbot training, such as:

Certified Chatbot Expert

This course covers the fundamentals of AI chatbot technology, such as its architecture, components, types, platforms, tools, frameworks, and protocols. You will also learn how to design, develop, test, deploy, and optimize chatbots using popular platforms and frameworks like Dialogflow, Rasa,, Microsoft Bot Framework, etc. After completing this course, you can also look for a job as a certified chatbot expert.

Certified Chatbot Developer

This course focuses on developing chatbots using natural language processing (NLP) techniques, such as tokenization, stemming, lemmatization, part-of-speech tagging, named entity recognition, sentiment analysis, etc. You will also learn to use NLP libraries and APIs, such as NLTK, spaCy, TextBlob, Google Cloud Natural Language API, etc.

Certified Chatbot Designer

This course teaches you how to design engaging, conversational, and user-friendly chatbots. This chatbot certification course aims to help you learn how to use design principles and best practices, such as persona creation.


Understanding the difference between strong AI and Narrow AI can be helpful. Especially when looking for a job or understanding the basics of AI development. Most of the development right now is in narrow AI, but the work on Strong AI is in full swing too.

Different AI certification exams can also help you be certified to get any job in these domains. You can look for opportunities based on the opportunities and the scale of growth they offer. With Blockchain Council, you can prepare for all these challenges in the most structured way possible, so why wait?

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