Some limitations of ChatGPT include the following:

It does not fully understand the complexity of human language. ChatGPT is trained to generate words based on input. Because of this, responses may seem shallow and lack true insight.

Lack of knowledge for data and events after 2021. The training data ends with 2021 content. ChatGPT can provide incorrect information based on the data from which it pulls. If ChatGPT does not fully understand the query, it may also provide an inaccurate response. ChatGPT is still being trained, so feedback is recommended when an answer is incorrect.

Responses can sound like a machine and unnatural. Since ChatGPT predicts the next word, it may overuse words such as the or and. Because of this, people still need to review and edit content to make it flow more naturally, like human writing.
It summarizes but does not cite sources. ChatGPT does not provide analysis or insight into any data or statistics. ChatGPT may provide several statistics but no real commentary on what these statistics mean or how they relate to the topic.

It cannot understand sarcasm and irony. ChatGPT is based on a data set of text.

It may focus on the wrong part of a question and not be able to shift. For example, if you ask ChatGPT, "Does a horse make a good pet based on its size?" and then ask it, "What about a cat?" ChatGPT may focus solely on the size of the animal versus giving information about having the animal as a pet. ChatGPT is not divergent and cannot shift its answer to cover multiple questions in a single response.