Breaking barriers: human–AI collaboration for entrepreneurial learning and corporate renewal

Purpose 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. Design/methodology/approach 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. Findings 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. Research limitations/implications The limitations of this study include its qualitative nature; future research should seek to quantitatively validate these findings across different industries and cultures. Practical implications 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. Originality/value 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.