A wide range of technology includes artificial intelligence (AI). We focus on "predictive algorithms, which include machine learning algorithms. For much regulatory purpose, the overall concept of a "predictive algorithm" covers a useful subset of algorithms called the "AI" in the recent public discourse. The thesis fulfills the purpose of the study to explore the expectations of current leaders as the leadership position changes as AI is implemented at work. The thesis will deepen AI's understanding of the impact of AI on future leadership by addressing these hypotheses. This thesis study employed a qualitative approach, and data from hypothetically model based but related approaches, use and examples to interview study structures of employees, such as architecture students and leaders in a technology organisation, were the demographic targets for detailed answers based on the questionnaire. This judgment explains that qualitative research makes it possible for people to understand patterns and phenomena by words instead of numbers. The benefits presented and the concerns posed by government predictive algorithms are important to take into account. It is also important, however, not to compare them with perfect decision-makers in human beings. There are a number of concerns and opportunities with the ever-greater use and increasing power and complexity of these tools. In order that the proposals are developed, or the new predictive algorithms are procured, New Zealand agencies must take or develop internal processes.