I propose that the advent and integration of AI models into the workflows of developers has stifled the adoption of new and potentially superior technologies due to training data cutoffs and system prompt influence.

I have noticed a bias towards specific technologies in multiple popular models and have noted anecdotally in conversation and online discussion people choosing technology based on how well AI tooling can assist with its usage or implementation.

While it has long been the case that developers have considered documentation and support availability when choosing software, AI’s influence dramatically amplifies this factor in decision-making, often in ways that aren’t immediately apparent and with undisclosed influence.