Driven by a reduction in the cost of data generation and computing power and simultaneous advancement of mathematical methods, algorithms are becoming increasingly capable of mimicking human learning, profound judgment, and decision-making, even outperforming humans in doing so. This recent emergence of artificial intelligence (AI) seems to not only change the way how entrepreneurial endeavors operate but also the way how they emerge. In general, digital technologies are prone to render the processes and outcomes behind entrepreneurial endeavors less bounded and the locus of an entrepreneurial agency less predefined. Addressing the role of AI in this is only nascent so far. We thus suggest it is time to perform a critical review of the literature at the intersection of AI and digital entrepreneurship. Our investigation adopts a socio-technical lens to capture the state of the AI entrepreneurship literature and identify promising research avenues to trigger further discussions.
