This report shares the learnings across 28 exploratory projects from teams across K-12 school districts, nonprofits, and nonprofit and for-profit edtech companies, leveraging AI to support numerous goals across K-12 educational settings. Through this report, we aim to highlight the early successes of AI, surface the key barriers that call for cross-disciplinary and collective problem-solving, and consider the potential for each sector to drive forward an equitable future for AI in education. Preliminary findings from these projects show early evidence of AI's effectiveness in various tasks, including translation, speech recognition, personalization, organizing and summarizing large qualitative datasets, and streamlining tasks to allow teachers more time with their students. However, these projects also experienced challenges with the current capabilities of AI, often leading to resource- and time-intensive processes, as well as difficulties around adoption and implementation. Additionally, many surfaced concerns around the ethical development and use of AI. Through this work, we have seen exciting ways that cross-sector collaborations are taking shape and gained a large sample of examples that emphasize the need for co-design to build meaningful AI-enabled tools. We call on education leaders, educators, students, product developers, nonprofits, and philanthropic organizations to step back from our day-to-day and imagine a revolutionized education system.