GPT-2 was nowhere near being able to create web pages. It was largely incoherent. But three years later gpt-3.5 and similar were able to create simple web pages and programs and became very popular. And a few years after that, only a small portion of software engineers generally write code by hand still.

Humanoid robotics may progress faster than that because they are building on existing AI. But it will be capable of some plumbing work within a few years.

There's no "building on existing AI" because those two technologies have absolutely nothing to do with each other.

The robotics structure, dexterity and sensors are already 90-95% there in leading edge humanoids. What makes it able to be a plumber or not are the machine learning models, which are usually built with transformers (VLAs -- vision language actions models), often include frontier VLMs or models with the same architecture as a top level control, and use the same or very similar types of reinforcement learning for training.