When the Stanford paper looked at augment vs automate, they used the data from Anthropic's AI Economic Index. That paper defined the terms like this:

We also analyze how AI is being used for tasks, finding 57% of usage suggests augmentation of human capabilities (e.g., learning or iterating on an output) while 43% suggests automation (e.g., fulfilling a request with minimal human involvement).

From the data, software engineers are automating their own work, not augmenting. Anthropic's full paper is here:

https://arxiv.org/html/2503.04761v1

Sounds like a snake eating it's own tail.