What next after ChatGPT?

Ranjit Damodaran
2 min readApr 1, 2023


bing AI

Now that ChatGPT NPL AI is settling down, it is seeing the impact of this new technology upgrade. This is a momentous point in the technology landscape, which will bring in far-reaching impact on technological progression.

A study found that this new technology will affect a majority of the service jobs prevailing today. It will change many areas of work. Here are some examples:

Learning: You may not need to search multiple sources to get an answer. The job of the teachers and their interaction with the students will change. Students now have a quicker and faster way to get the questions answered. Teachers should reduce their emphasis on answering questions and inculcate students' skills to ask the right questions.

Creative jobs will be on steroids. Writing blogs, and books, sketching abstract or technical designs, writing code, etc., will go through a change. You don't need to go through the entire process; now, you have shortcuts. You can let the AI create it for you and review it, or you write it and ask the AI to enhance it.

Analyzing data: We started seeing how data analysis would be easy. It can analyze a large data set and give you insight and patterns. If you want to know about a book, you may not need to go over the book, and you can extract and start asking questions to get comprehensive answers.

Most tech companies are pumping billions of dollars to accelerate or catch up with ChatGPT mania. Now let's ask the question, what next?

  • GPTChat is a general model that answers questions from any domain, such as Finance, Health, Education, etc. However, its answers could be deeper and more specific. They are mostly vague and polite statements. Companies will try tuning the model to specialize in the domains, and we will see AI models specific to finance, medical, government, etc.
  • GPTChat uses data from the internet that is publicly available. However, some companies have private data, such as credit data, photos, and videos, which are not exposed to GPT training. Now, this may be the time to monetize those data. We can find more mergers and acquisitions in this space, with bigger tech companies taking over the smaller and more specialized ones.
  • Now, companies are trying to get more customers to use this AI model. We may see them charge the customers or act like custodians to the gateway to access data. This can be in the form of advertisements like Google Doubleclick.



Ranjit Damodaran

Tech enthusiast, Project Management. Interested in Complexity science, Economics, Psychology, Philosophy, Human Nature, Behavioral Economics, almost anything.