After attending PyCon US, developer LernerPython questions Python's future in the age of AI coding. The conference buzz centered on agentic coding—AI writing functional code faster than humans. With machines handling the coding, Python's traditional advantages of readability and human-centric design may no longer matter when computers are cheap and doing the work.

Developers like Wes McKinney already experiment with AI generating code in languages they don't know. The author suggests Rust could emerge as superior for AI output due to its performance and safety advantages. As AI improves, the gap between human-written and AI-generated Python narrows, potentially making execution speed more important than readability.

A critical concern is who will maintain Python's massive ecosystem if fewer humans write Python code. The open-source community might lose motivation if developers don't directly use these packages. This could create a negative feedback loop where less human-written Python leads to worse AI output, further accelerating the language's decline in AI applications.