Am I still needed?

We underestimate how much we rely on our "backpack" of experience and knowledge.

For example: I have been building scripts, tools, websites, and applications since I was 12. I sometimes do not fully realize how much I depend on that accumulated experience when using AI as a lever.

But when I take a step back and look at my prompts and processes, it becomes clear that this background plays a much bigger role than I tend to assume.

Software is not "solved"

In the past, I often worked with people who had a (vague) idea. Together, we would figure out how to turn that idea into software that delivered value.

Now, people arrive more often with a self-built prototype. That means there is already more thought behind it, more direction, and we can already start discussing scope in a meaningful way.

In other words, it is easier to challenge it, improve it, and turn it into a minimum lovable product (MLP). And that is great.

Once a tool starts gaining traction, however, you still need to support and scale it, and that is where real expertise still comes in.

The software market is in a difficult place

I will not go into the current state of the economy here, but what I personally notice is that the total addressable market (TAM) seems to be expanding.

At the same time, the way we work is evolving significantly.

Be careful with the hype train

Immerse yourself, but do not jump from one tool to another every time a new hype appears.

Is it important to always work with the latest and greatest? I do not think so.

What is important is to truly understand AI, learn how to apply it where it adds value, and recognize where it does not.

I am curious how others experience this.

And to answer the question: am I still needed? I think so.

If you are looking for someone to challenge your current tool, prototype, or MLP, feel free to contact me.