A sector analysis warns that generative AI is reshaping instruction, research and administrative work and that accreditation systems must adapt. The piece argues universities treat faculty as instructional labor and HR as compliance functions, leaving institutions poorly aligned for rapid AI adoption. Authors call for integrated workforce strategies that reclassify faculty and staff responsibilities, invest in capability building, and use accreditation as a framework for mission-driven change rather than a box‑checking exercise. They argue AI should be deployed to automate routine tasks so people can focus on mentoring, scholarship and curricular redesign. Accreditors, provosts and HR leaders will need to coordinate on new role definitions, evaluation benchmarks and related professional development to preserve academic quality. Clarification: accreditation refers to the formal review process that certifies an institution meets standards of academic quality and institutional effectiveness.