Entire decision-making is also influenced by biases that result into forming non-economically rational decisions hence the continuing economic inefficiencies that surrounds the current business’ profitability and hence growth. This research paper aims to identify and discuss effects of overconfidence, confirmatory bias and group thinking on the decision-making process of the entrepreneurs thus affecting the efficiency and rationality of decision-making and the growth of business. The publication of the study reveals how different technological solutions including artificial intelligence (AI), machine learning, decision support systems (DSSs), and blockchain help to address those biases. Data illustrated in Figs. 1 and 2 demonstrates how these technologies of change gradually reduce bias and AI dominates over other areas including investment decisions, recruitment and market insight. For example, the AI calculations of the venture capital industry enhance funding access for individuals and he/she applicant blindness in the selection of candidates promotes non-discrimination in the hiring process. Despite these development voting system still poses challenges like; algorithmic bias, ethical issues, and dependence on machines. This paper concludes with suggestions for how these technologies can be better integrated to provide for sound and fair decision-making that will open the way for future evolution of entrepreneurial ecosystems.