🧩 Another Piece of the Future-of-Work Puzzle is served.
OpenAI Code Interpreter from a non-coder perspective

As shown in numerous examples, we are shifting our interactions with computers from us doing the dirty work to having the computer doing it for us.
One simple example for the new paradigm of work - say that you want to switch to dark mode on your Windows computer, the instructions are:
1️⃣ Select Start > Settings
2️⃣ Select Personalization > Colors.
3️⃣ Under Choose your color, select Custom.
4️⃣ Under Choose your default Windows mode, select Dark.
You kindly follow the instructions and get it done 😅
With AI integrated into Windows, you simply type “turn on dark mode”, the AI will understand what you mean and execute the steps for you. You say, it does.
This way of interacting with our tech will be extrapolated to all areas.
OpenAI Code Interpreter is enabling this way of working, you tell it what to do and it does it. “Does it” might include writing and executing some code. As a user you don’t need to understand what is going on under the hood. However, ChatGPT kindly informs what it is doing as an attempt to create transparency and trust(?)
Code Interpreter can do a lot, let’s scratch the surface with a few examples.
📊 Say that you are a project manager and have an Excel file with your budget and actuals. At the end of the month, you get another excel file with costs. Now you can simply upload both files to ChatGPT and ask it to update the budget file, it kindly deducts the costs from the right posts. You say, it does.
As a second step, you could ask it to write a monthly status update report based on the new budget file and recent sprint log using a pre-defined reporting format. You say, it does.
📊 Another example, you can tell it to
📌 write a project time plan,
📌 break it down into sprints and
📌 suggest tasks for the first sprint per role. It can even help you with estimating time, no it will not be perfect - but from what I've seen in projects, we (humans) are quite bad at estimating times as well 😉
With Code Interpreter you now have the capability of creating your charts, analyze data and manipulate files.
📝 Polishing this a few steps more, it can take care of much you the post meeting work, such as updating task lists and drafting e-mails.
Gartner estimated that 80% of today´s (2019) project management tasks will be eliminated by 2030. 8 months after the release of ChatGPT this seems highly likely, or will we even get there faster?
💭 What parts of that work can an AI assistant help you with? Have you tried it?
🚀 In the very near future, we will hand over much of the doing to our AI-assistants, there is no doubt about it. Even if the AI development stopped today, it will be the case.
🔑 How do you prepare for this shift? Education? Strategic planning? Playing with the tech in small projects? What do you need to get started?