If performance was the true goal then we'd just naturally see slow adopters unperform and phase out of that company. If you make good tooling available and it is significantly impactful the results will be extremely obvious - and, just speaking from a point of view of psychology, if the person next to you is able to do their job in half the time because they experimented with new tooling _and sees some personal benefit from it_ then you'll be curious and experiment too!
It might be that these companies don't care about actual performance or it might be that these companies are too cheap/poorly run to reward/incentivize actual performance gains but either way... the fault is on leadership.
Two things: 1) Employees are not that easy to replace. These employees have already been onboarded, screened, and proven, at least to this point, to be the type of people the company wants. If an employee starts lagging behind solely because they are stubborn about adopting AI, yes, the company can fire them, but then it has to go through the entire hiring process again and risk bringing in someone new, when it could have simply improved performance by helping the existing employee use AI. 2) Companies themselves have performance metrics that are compared to those of other companies. If an employee is not using AI and has reduced output, then the company’s overall output and its profits are affected. No investor cares if the reason is that other companies have a higher rate of AI adoption; investors care that the company was not able to get its employees to use AI effectively to increase profits.