Research on Innovation and Open Strategy in the Construction of Google’s AI Ecology

With the development of AI technology, how to maintain core competitiveness and promote the openness of the ecosystem to facilitate collaborative innovation has become an important issue for global technology companies. This study takes Google as a case study to analyze its strategy and practice of achieving a balance between technology openness and protection in the field of AI. This study explores the impact of Google's multi-level technology layered openness strategy on its core competitiveness and eco-innovation through literature review, SWOT analysis, Porter's Five Forces analysis model, and regression statistical model. The results show that Google has not only expanded its AI ecological influence but also significantly increased the overall innovation speed of the industry by opening up its tools setting industry standards and attracting the participation of global developers. Meanwhile, patent protection, technology encryption and the closed strategy of core algorithms effectively prevented the risk of technology leakage and ensured its technological dominance. However, the study also found that Google faces challenges such as core technology leakage, high maintenance costs of the open ecosystem and increased competition. In response, Google has achieved a balance between openness and protection by optimizing the depth of openness, strengthening partnerships, and expanding cross-industry applications. This study provides an important practical reference for AI companies to realize strategic balance between technology protection and ecological openness, and reveals the key role of technology ecological openness in driving industry innovation and maintaining market leadership.