2026 AI vs Human Work Survey Template

An AI vs human work survey measures professional perspectives on artificial intelligence capabilities versus essential human skills. It collects quantified data on where AI excels, job displacement estimates, and irreplaceable human competencies. Organizations use survey results to guide technology adoption strategies, identify reskilling priorities, and communicate change roadmaps to teams.

Deploy before announcing AI tool rollouts, during strategic planning cycles, or after pilot programs conclude. Timing surveys before implementation captures baseline sentiment and concerns. Surveying 30–60 days before deployment allows leadership time to address feedback and design change management. Post-implementation surveys measure adoption success and identify training gaps.

Segment responses by role, industry, and job displacement concern level. Identify which tasks teams believe AI handles best to prioritize tool training. Use open-ended responses on irreplaceable skills to design reskilling curricula. Share aggregated findings in town halls to address workforce concerns and clarify AI-human collaboration expectations.

Track primary metrics: average job displacement percentage estimate, percentage reporting high replacement concern, and most-selected irreplaceable capabilities. Secondary metrics include role-specific AI strength selections, preferred collaboration models, and disclosure requirement preferences. Monitor sentiment trends across departments and compare pre- and post-implementation survey cycles quarterly.

Skills assessments evaluate employee competencies in specific domains. AI vs human work surveys focus exclusively on where artificial intelligence boundaries exist versus permanent human advantages. They measure organizational perspective on technology capability rather than individual performance, making them ideal for strategic planning and change communication.