The study explores human–AI teaming to leverage algorithmic efficiency and entrepreneurial learning culture in emerging economies. And presents AI’s dual role as an “AI co-founder” for nascent entrepreneurs and as an intrapreneurship enabler in established corporations facing cultural barriers to innovation.
The study employed a qualitative research method, using semi-structured interviews as the primary data collection method, involving 21 leaders, entrepreneurs, and external experts from different sectors in emerging economic regions.
By providing a non-judgmental space, AI helps de-risk experimentation and learning in a controlled setting. The research highlights the need for “AI intrapreneurship corridors” to foster psychological safety for innovation and de-risk corporate innovation, in the face of stringent hierarchies and a low appetite for entrepreneurial ventures.
The limitations of this study include its qualitative nature; future research should seek to quantitatively validate these findings across different industries and cultures.
The research offers actionable insights for leaders and HR professionals. It suggests using AI as a strategic partner for entrepreneurs to overcome resource gaps and offers a clear HRM strategy for corporations to develop a “safe-to-fail” culture and measure the ROI of intrapreneurship.
Human–AI teaming offers a new way to optimize the benefits of algorithmic efficiency while fostering an entrepreneurial learning culture that is important for innovation and growth.
