Levie narrows the AI displacement argument
Aaron Levie argues that software engineering is almost the friendliest possible domain for AI automation: code is abundant in training data, users are technical, tests make output partially verifiable, and the work context is already digitized in repositories.
His conclusion is a labor-market counterweight, not denial. If engineers still need to supervise agents in the easiest case, other knowledge-work domains should expect more augmentation, review, and coordination before broad displacement.
Coding is basically the pinnacle of what you could reasonably automate with AI, and yet we still need human engineers to oversee agents for them to be effective.