Organizations face challenges in adopting AI technologies, including high implementation costs and a lack of skilled professionals. Integrating AI systems often requires significant investment in infrastructure and training, which can be a barrier for many companies. Additionally, biases present in training data can lead to ethical concerns and inaccurate outputs, undermining trust in AI. Resistance to change among staff and existing workflows may also hinder adoption. Addressing these challenges is essential for successful AI integration in organizations.