The document provided a very interesting take where pretty much it was explaining the necessity of understanding AI tools and comparing them to the revolution that the Internet has brought to the modern workforce. Specifically, tools like ChatGPT and other Large Language Models (LLMs) will become very crucial to many careers, especially after the heavy adoption by many businesses in order to increase productivity.

One interesting take that I can understand, or at least try to understand, is when the author compared it to how a mechanic uses a wrench. Although it’s a tool that plenty of workers or blue-collar workers are familiar with, it’s also a tool that is very limited compared to other tools that are specialized. I think AI is a lot broader and also provides many more use cases compared to a wrench, but I can understand where the author is coming from.

The tricky part is data management. The responsibilities are becoming even more important after the rise of AI and its integration into business operations. Several branches, such as data governance, data privacy, compliance, security, and utilization, all work similarly to achieve the goal of AI blending in effectively. Data is one of the most crucial things fueling the AI boom right now, if not the most important. AI heavily relies on data, so if the data is not clean, not properly managed, or didn’t go through the proper collection process, it can lead to several problems such as inaccuracies and AI hallucinations. Data governance helps with establishing policies to ensure compliance for many organizations while following regulations and legal requirements.

In my opinion, AI is going to come in different cycles. Right now, we’re seeing the hype and the boom of the transformer architecture. I do think AI can help with a lot of automation in IT. However, it won’t make sense to me if AI is managing itself all by itself, almost like a scene from a sci-fi movie. I think, at the current moment, a lot of IT could benefit from automation, especially for tasks that require heavy repetition and not much creativity.

However, it’s also going to open up a lot of doors, especially in fields like cybersecurity, AI engineering, or even cloud computing due to the rise of AI and how many people are misusing it for hacks and threats. So, I think it’s going to transform IT even further, from more of a support function into a core business function that helps with innovation, productivity, and long-term growth.