As of May 2023, we can say the following:
* The AI has already changed **image recognition**, allowing for cheap **object detection and classification** systems. Autonomous agents can now **navigate the world**, delivering goods and gathering information, but are not yet trusted with significant tasks. Automatic **visual survelliance** has become much cheaper and easier with the AI, raising privacy concerns and possibly threatening the security job market. 
* A layman using **AI image generation** can compete with actual artists, especially in tasks like concept art, where many not-optimal images are produced to explore ideas. This has allegedly led to layoffs in the design industry. Artists who are reluctant to use AI are facing a tougher job market. 
* **Generation of short texts** appears to be a strong side of the LLMs, threatening the jobs of web content creators. Producing a book or a longer story still requires much human effort, unless the quality is negligible. It's also unclear how the copyright applies to both AI-generated text and images.
* **Summarization and generalization of documents** is a good task for LLMs too. 
* Large Language Models (LLMs) can **produce simple software**, but this has not yet led to a massive shift in software development. Many companies do not want their codebase to be inspected by external AI provider (which is still necessary for code generation). Besides, the code is often unreliable and still has to be verified by a human.

In the healthcare sector, except for image diagnostics assistance, AI still cannot compete with humans because of missing legal framework and high cost of risk. Jobs involving physical interaction, such as fixing a leaking pipe, seem to be beyond AI's capabilities for now.

Should I continue, or did I interpret your question incorrectly?
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