I also see a big difference in how AI agents handle the gaps between tasks. Traditional automation usually works when the process is predictable but real work often involves exceptions, follow ups and decisions that don’t fit neatly into a workflow. If agents can handle those gaps while keeping the right context, that could be where a lot of their value comes from not just doing the same task faster but keeping the whole process moving.