Human Replacement: After A Slow Start, AI Is Saving Me A Lot of Time and I Will Probably Not Be Replaced

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 Here is this week's update on replacing myself with an AI. It has not been seven and a half months into the experiment. The progress of this experiment really came in the last two months, a busy August could have became overwhelming if it was not for a lot of my workflow that was automated by the AI.

For the first six months, work was pretty laidback when it came to AI use. In the fist few months, I did not really gain much tracking in terms of the time saved. It was not until I started focusing on specific tasks that I began to realized hours saved per day. But work became concerned about the whereabouts and security of the data that the AI had access to. Through irksome, I cannot blame them. Only a couple of weeks after they wanted to pull \ back, the hacks by Anthropic followed by OpenAI happened.

Still, I did not want to give up on the progress. I resorted to having the AI create offline scripts for me to run. I continue to save time each day. Though I am not a computer or data scientist, the Python scripts my AI generated for me did almost all of what the AI was doing for me. I think it was basically doing the same thing in the sandboxes it set up for my work using Python. I asked it and it confirmed that for me. And I said the offline tasks did almost all of the tasks that the AI was doing rather than that it did all of it is because there was a couple of quirks that happened and fixed by the AI. I expect new wrinkles to come up. Over all, I am very satisfied.

In the last couple of weeks, while the AI generated scripts help me save 2-3 hours a day, an overhaul of a part of our data required me to spend a few days working through it and updating our database. If I

had to spend time doing that and stuff I did before the scripts took over, I would have been extremely stressed and overwhelmed. Instead, I was able work through what I had to do methodically and without much fuss.

What is next? Well, it is time to go further. I have identified another two workflows that I want automated. These two are different

in that they require my attentions but what I want is to verify each other's work. There is no getting around it. At least not with my personality and my AI mantra, "don't trust and definitely verify".

After that, I want to push for local AI models and agents so we can get back on track of using AI as a foundation for a lot of our routine work.

I hope to get the new workflows working by the end of September. Because my work will no longer allow me to use cloud-based AI, I have begun  experiment and setting up a local LLM to replace it.

By December, I should be able to set up a lot of automation for my workflows and my sole role in those respects is just to verify its work. I am hopeful our attitude towards AI uses will change here.

So, as far as management replacing me with Gemini or Claude, that's not going to happen in the next couple of years. If I am replaced at work, it will be by another human. Given what I have seen, there are two types of companies - one like mine where AI could be used to make employee lives easier and the other is ready and willing to replace their human workers once they see acceptable results from AI agents.

What do I have planned after the 12 months is up? I'll get to that when it comes but here is a little preview. I hope to have agents completely ready to automate and complete a lot of these workflows each and every single day before I arrive at the office.

I also plan on engaging Copilot more. That would require a lot of patience on my part.

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