AI Navigators

[AI explained]

AI: Strengths and Weaknesses

August 5th, 2026

Published by A.L.

AI has been a hot topic for quite a while now- making headlines, helping with homework, generating works, images, essays. It’s clear that it can do many things. But… what is it good at, and what does it struggle with?

Strengths

• It isn’t unknown that AI is good at pattern recognition. But how good exactly, and how does it work? AI can spot the most subtle patterns across millions of examples, far better than we can. This is why it’s so good at identifying objects, translating languages, and predicting trends.
• For things with clear rules and structure, AI is very strong. These things include math, programming, scheduling, strategy games, optimization. There’s a clear structure on how these things work… and that’s why AI is very good at these.
• Finally, its AI- it doesn’t get tired, or bored, or just give up. It’s able to work with huge sets of data and large drafts because it has the power to do all of it. Contrast this with a human– they’d probably need a long time and a couple of breaks to do something that AI can do in a short period of time.

Weaknesses

• AI isn’t grounded to the real world. It learns from patterns. It can’t ‘know’ like we do. Because of this, it can misunderstand reality and confidently give answers that are subtly (sometimes even obviously) wrong.
• AI lacks common sense. They might misinterpret simple scenarios, or give ‘technically correct’ advice, but practically, it’s not the best. It lacks emotions and doesn’t develop a “gut sense” that we have in the real world.
• Lack of ethics. It can’t tell what’s morally right or wrong– it just answers based off of your question. This may lead to answers that are straight-up bad in real life. It can’t understand cultural meaning like we do.
• Long-term planning. Across real time, it struggles in planning. It can’t understand consequences, can’t track goals over days and weeks. It can plan within a conversation, but not over the course of time.
• It’s not great at following exact instructions. It relies on pattern recognition to understand things, which may lead to errors in the result. An example of this can be found in my How to Use Python and Blender to Beat AI series, which was inspired by AI’s lack of ability to generate a great tank implosion model.
• Finally, it doesn’t feel emotions like we do. It tries to understand them, but it’s pretty bad. It misses sarcasm, humor, social cues. It struggles to understand them in real life contexts, drafts, and questions.

Conclusion

AI is very strong at identifying patterns and working with structure and rules. However, it falls apart when real-life human instinct and emotion is required.