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During my last blog, I wrote about how I learned to use AI, and in special Chat GPT, in the workplace. I wrote about my basic knowledge being boosted, how it assisted me in writing emails, and how it helped me writing marketing messages.

We are now almost at the one year anniversary of Chat GPT 3.5. And the evolvements in the AI space have not stopped yet. The work analysts are doing at VC’s, PE’s or any other white collar employer is still changing drastically. During the past two weeks I have been taking note of these changes, as well as using some of the already existing features. Here is what I found.

Firstly, the advanced data analysis feature in Chat GPT. This is perhaps the most interesting and underrated feature for anyone working in consultancy, venture capital or any other business where large Excel sheets are being used to track business. It helps one to easily analyse these large datasets and quickly draw conclusions. Reducing the time analysts have to spend on these tasks and helping senior players in these industries to draw conclusions quicker.

Another interesting development is the integration of Google Bard in Gmail, Google sheets and other Google products. This enables you to quickly respond in mail with a personal autoreply or draft better results from your Google sheets analysis. The evolvements in this space will be interesting to watch in the future.

Next, and maybe even most interesting, it is now possible to analyse pictures with Chat GPT. This feature is currently not yet open for users in Europe, but it was interesting to see how it is being used in the US. Where it helped people find a parking spot, lower their seat of their bike, or even file their taxes. This feature will also be huge in business. As it will help marketeers to build a better marketing strategy for example. But it could also have big consequences for the development of companies websites. Where now it would become possible to just show a picture of what you would want on your website and having Chat GPT code the new website feature for you.

It is interesting to keep following these changes. And I personally think we are far from done. More will be happening soon, and the changes will be big.

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In the highly competitive business environment we are currently in, staying ahead of others requires more than just hard work; it demands smart work. During my internship last year, I found out about Chat GPT. This was still at the very beginning of the release, and at the time it did not nearly have the capabilities it has now. Still it was able to help me get ahead of my colleagues though.

In this article I will discuss how Chat GPT has helped me during my work, and how it has the potential to do the same for others. I will discuss the potential on bridging the knowledge gap, the art of crafting content, revolutionizing customer service, and helping in research and investment decisions.

My personal AI journey started when I was interning at a strategy consultancy firm which specializes in the chemical & life sciences industry. The company employs a ix of chemical engineers and business students, offering their clients the best of both worlds. The projects were often very detailed in the chemical application of the products, something of which I did not have a lot of knowledge as a business student. So when I found out about Chat GPT last november, it felt like a blessing from above. Suddenly, when we were talking about specific chemicals and their applications, I was able to gather the same basic knowledge my colleagues had in a much shorter amount of time. Chat GPT enabled me to onboard on projects much quicker and it made me much better at what I was doing.

After my internship, for a while I did some freelance work for some start-ups. Working on their sales strategies and drafting cold emails for them. Chat GPT was of great use in this again, helping me find topics to draft the emails on. Enabling me to much quicker get out the right format for the cold emails and boasting my productivity.

Next to my freelance work for the start-up, I also worked as a customer service agent at a scale-up for a couple of months. During this period, Chat GPT went from a nice to have model to a model which was unmissable for me. This was around the period GPT 4 came out. The web browsing plugin was integrated, as well as the data modelling plugin. During my work as a customer service agent, however, I used it in a completely different way. As customer service agent, you will get a lot of emails, often with similar content. Using Chat GPT, I was able to automate my responses. So far that I only had to input the email from the customer, after which I would get a response which almost immediately could be send out. This made me much more efficient than many others, while also enabling me to simply draft better emails than I could have done myself.

After having worked here for five months though, I felt it was time for a new experience. I wanted to be challenged again so, next to my masters degree, I decided to start as a technology analyst at a small scale-up. This was the first place I worked at which completely embraces AI in the workplace, enabling a lot of productivity for all employees. Currently they are also integrating it in their models.

I am curious how in the coming months I will experience the use of AI in this renewed workplace. It is clear to me that jobs as a strategy consultant, sales consultant or customer service agent will never become the same anymore. Less people will be needed in these positions to do the same job, with productivity going through the roof.