I’ve occasionally been part of training hourly workers on software new to them. Having really, really detailed work instructions and walking through all the steps with themthe first time has helped me win over people who were initially really opposed to the products.
My experience with salaried workers has been they are more likely to try new software on their own, but if they don’t have much flexible time they usually choose to keep doing the established less efficient routine over investing one-time learning curve and setup time to start a new more efficient routine. Myself included - I have for many years been aware of software my employer provides that would reduce the time spent on regular tasks, but I know the learning curve and setup is in the dozens of hours, and I haven’t carved out time to do that.
So to answer the question, neither. The problem may be neither the software nor the users, but something else about the work environment.


Given that most humans hate note-taking and avoid it, but it has a lot of value as a meeting output, getting a machine to do it makes sense.
I also heard a podcast where a consulting company couldn’t get their client contact to make any decisions because he wanted his CEO to review, but she had a busy schedule and was never available. The consultants trained an AI on this CEOs writings, and presented it to their client contact. The model was convincing enough the client felt comfortable making decisions. I thought that was interesting, and this article refers to something similar with models of stakeholders.