This research used system dynamic to explore M-learning and the employee work stress of the life insurance company. First, making use of ithink software, constructing the system dynamic model, then carrying on the system behavior analysis and the system validity analysis, finally, making use of related factor of M-learning for the policy tool, carrying on the policy design and the system emulation. The results are as follows: The two variables of increasing the M-learning employee acceptance rate and the employee work stress of the life insurance company are moving toward the reverse direction. The two variables of raising the M-learning interpersonal interaction rate and the employee work stress of the life insurance company are moving toward the reverse direction. The two variables of raising the product innovation rate and the employee work stress of the life insurance company are moving toward the reverse direction.