Look around and you’ll see artificial intelligence in action. Whether it’s autonomous vehicles, AI tools, or even smartwatches, AI is involved in almost every aspect of our lives. And, it almost feels that without AI, this world would’ve been a different place.
However, despite the numerous applications, it’s unfortunate that the majority of people still believe in certain myths related to AI. As an avid AI user, I believe these myths create misconceptions in most people’s minds and stop them from leveraging its power.
Having said that, I’ll share those myths and bust them with pure logic to help you understand what AI is truly capable of.
AI is Emotionally Intelligent
Starting with one of the most common myths, most people believe that AI understands them and feels their emotions. However, while AI can be many things, it cannot be emotionally intelligent. In fact, every AI model, be it ChatGPT, Grok, etc, is based on large language models.
They’re solely designed for mathematical calculations, nothing else.
This is why believing that AI models can respond to different emotions is baseless. And, even if they respond emotionally, keep in mind that it is based on large datasets. Such datasets help AI models analyze different situations and respond accordingly.
So, in no way is AI emotionally intelligent, and to believe that it can act as a human is just a misconception.
AI Is Going to Take Over Our Jobs
For a long time, I also believed that AI would replace us and take over all the jobs. I believe it’s partially true because it’s a fact that AI has taken over some jobs. But at the same time, it has also produced millions of vacancies across different industries.
For instance, AI artists, content writers, researchers, and other professions didn’t exist before. But now, they’ve become highly paid professions.
Additionally, I also believe that instead of fearing AI, it’s better to team up with it. There are hundreds of AI tools available that you can share your professional responsibilities with. For example, being a freelance marketing analyst, my work includes extensive market research for my clients.
So, with AI tools like ChatGPT and Perplexity, I can easily conduct research, collect data, analyze it, and deduce useful findings in minutes. Plus, I only need a reliable and high-speed connection, like my 5G home Internet service, to ensure that these tools stay efficient.
All in all, it’s a misconception to consider AI as our competitors whose sole purpose is to take over our jobs.
AI Is Always 100% Right
In my experience, generative AI tools like ChatGPT, Grok, Gemini, and more speak with authority. However, it doesn’t always mean that they’re 100% right.
Most people are unaware, but AI models “hallucinate” sometimes. This happens when such models generate false, inaccurate, and misleading information and present it as facts.
Also, AI models use the existing and available information on the internet for training. So, there’s a possibility that AI models learn from wrong or inaccurate pieces of information. So, whatever ChatGPT or any other AI model says, don’t trust it right away and make sure you validate it.
AI Is Unbiased
Most people think that AI is not biased and that it can offer impartial opinions on different topics. However, just like it is not emotionally intelligent, it is not unbiased as well. There are two major reasons why AI models may become biased.
First is the way AI models are designed to answer questions. And the other, and most apparent reason is because of bias in their training data.
As I explained above, AI models are trained on large data sets. With machine learning analyzing those data sets on a massive scale, even small biases can affect the overall results and force those models to generate partial results.
AI Can Mimic the Human Brain
Undoubtedly, AI is smart, but think again if you believe that AI can mimic a human brain. In no way is AI capable of copying a human brain. As I explained above, a human mind can judge emotions, like happiness, sadness, and anger, which AI cannot.
Other than this, sophisticated AI models can continuously learn from the data they’re fed by the users.
However, they still require validation for complex and technical questions, and in no way do they operate on their own.
Conclusion
AI isn’t a mind or a menace—it’s a powerful set of statistical tools. Busting the biggest myths makes that clear: it isn’t emotionally intelligent, it won’t take all our jobs, it isn’t 100% right, it isn’t free from bias, and it doesn’t mimic the human brain. Used well, AI augments human judgment rather than replacing it. The path forward is simple: pair machine speed with human context, ethics, and creativity; treat outputs as hypotheses to verify; invest in data quality and digital literacy; and design with fairness in mind. Do that, and AI becomes a force multiplier that broadens opportunity instead of widening gaps. The future belongs to teams where humans lead—and AI assists.
Frequently Asked Questions
How can biased AI models affect us?
Biased AI models can lead to a social gap between different races and promote inequality between them.
What is the major difference between AI and ML?
The major difference is that AI is a broader concept, while ML is a subpart of it. For instance, AI indicates how machines, tools, software, etc, interact with us like a human. However, ML assistance is required for interpreting and feeding large data sets to AI models.