AI in general is always being usecaseas replacement to humans but the reality it is far from it. Not the technology itself but it’s percivede humans have the capability to practise something, build patterns and get better at that niche. AI still does not “learn at the job”. Right now most widespread usecase of AI is software development, and even in it, the tools do not get better at runtime, thus requiring constant orchestration, critical verification and validating outputs. These three may sound easy tasks but need a lot of knowledge and understanding of the systems.
Since the industrial revolution people have been saying that human labour will become obselete. The machines are here to replace and we say massive shifts as machines did make a lot of things efficient and easy to produce. It is 2025, and I am using a machine to write this article and we have not come close to oblieration of human labour? Because humans have capacity to evolve, build new economies, thrive in these new economies. This long held tradition of evolution is still hard for AI to capture. I will never hire an AI designer because the human designer understands my taste, understands the product and has an ability to actively learn and question me on my choices. LLMs can also do that but the assumption is still hard to capitulate.
This is why I think AI will go through a cycle of Dunning Kruger Effect. Initially a lot of people will believe that it can replace humans and use it instead, and then they will realise that the systems are not getting challenged in drastically creative manner, which only a human can accomplish, increasing demand for insights and experienced individuals. The road to experience maybe more complex as people would need to spend 5 years deeply to understand the subject, but there would be some system which will help them. Obviously we may live in capitalistic world which is completely
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