HRM practice in the Philippines employs a two-speed approach to AI, informed by a vast divide in the adoption of automation among authority types, specifically maritime and higher education institutions (HEIs). In this article, we trace the adoption of AI along a wide swath of five domains: recruitment & selection, crew & employee lifecycle/credentialing, learning & development (L&D), performance management and people analytics, and policy, ethics, and governance. The key takeaway is that AI is perceived as a complementary, rather than a replacement, technology, and that it will create a need for individuals in the workforce to be able to work with and benefit from these technologies. These issues include: data silos and an explosion of data. This report pulls the pieces together and provides a comparative analysis, and makes a case for how we can ride the wave of change.