Some people predict that Chat GBT is going to replace millions of jobs. This sounds both exciting and scary. They claim that it can replace jobs in programming, law, and customer success. In this video, I will test Chat GBT to see if it can replace product management, programming, and people management roles.
As a product director featured in Forbes, I have helped many people land their dream product management jobs. I have also worked for Fortune 500 companies and startups, launching AI, cloud, and edge computing products. In this video, I will use real-life product examples to see if Chat GBT can reproduce past products and potentially replace our jobs.
Chat GBT is a language model provided by OpenAI that can interact with users through conversation. It is free to use and has millions of users. It can generate HTML code for designing living rooms, provide decoration ideas, and even generate images based on horror movie characters. However, when it comes to writing code, it is more suitable for entry-level programming work.
One of the key tasks of a product manager is writing product requirements. While Chat GBT can provide generic tips on writing requirements, it lacks the ability to write specific and comprehensive requirements. It focuses mainly on high-level functional requirements and misses other important types of requirements such as usability, performance, and integration.
Another important aspect of product management is designing system architecture. Chat GBT can provide a conversational understanding of system architecture components but lacks the ability to create graphic diagrams. It is more suitable for understanding the concepts rather than creating detailed visual representations.
Communication skills are crucial for product managers, as they frequently interact with stakeholders. Chat GBT can provide tips on writing emails to stakeholders, but it is important to customize the content and add real product-specific information. It can be helpful in providing a starting point for communication, but it should not be solely relied upon.
Strategy thinking and product vision are essential skills for product managers. While Chat GBT can provide some high-level strategy tips, it lacks the ability to create long-term roadmaps or predict future trends. It is mainly trained on past data and does not have access to current information or the ability to make informed predictions.
In conclusion, Chat GBT can be a helpful tool for certain tasks in product management, such as generating code, providing high-level requirements, and offering communication tips. However, it is not a replacement for human product managers and lacks the ability to fully understand and strategize for complex product management tasks. It is important to use Chat GBT as a tool to assist and enhance our work, rather than relying on it completely.
What are your thoughts on the impact of Chat GBT on jobs and product management? Let’s continue the conversation!
