AI Ph.D. graduates are increasingly choosing to work for large technology companies, which could have negative implications for open innovation. The debate between open and closed AI models is overshadowing a comprehensive understanding of openness in AI. Open science, transparency, and equity are crucial for developing AI that serves the public interest. The Partnership on AI exemplifies open innovation by bringing together academia, civil society, industry partners, and policy-makers to collaborate on AI challenges. Public funding and open publication of research foster an open ecosystem. However, recent data shows a decline in AI Ph.D.s pursuing academia, limiting open models and research availability. Transparency and accountability are important for responsible and safe AI deployment. Creating an open ecosystem requires investment in skills and education while promoting diversity of perspectives. Establishing research and open innovation systems that foster scientific integrity and resilience is essential. Incorporating diverse voices is imperative for AI development.