AI adoption is accelerating, but workforce reactions are splitting: some employees report productivity gains while others say concerns about job replacement, ethics, and data privacy are driving reluctance. A Gallup poll cited in reporting found that roughly three in 10 workers are frequent AI users, while a larger share of non-users express alarm or opposition. The reporting also points to governance and trust issues—workers may avoid AI due to perceived costs to workflow, privacy, or ethical objections. That friction is increasingly relevant to higher education because student internships, career services, and employer-driven hiring signals depend on how quickly organizations operationalize AI tools. Institutions may need to update career pathways and employer partnerships to align with the reality that AI productivity is unevenly experienced and adoption strategies are contested.