{
    "action": "final",
    "content": "## Dataset Overview\n\nThis dataset captures **polling data on AI usage in the workplace**, collected in July 2026. It represents a survey measuring how American workers interact with artificial intelligence tools across various job tasks and contexts.\n\n## What a Single Row Represents\n\nEach row represents **one response option to one survey question**, broken down by demographic segments. Specifically:\n\n- **Question**: A survey question about AI usage (e.g., \"Which of the following are a regular part of your current job?\")\n- **Response**: A specific answer choice (e.g., \"Maintaining operational records\", \"Analyzing or evaluating data\")\n- **Demographic breakdowns**: The percentage of respondents in each demographic group who selected that response\n\nFor example, row 1 shows that 29.02% of all respondents overall said \"Maintaining operational records\" is part of their job, with breakdowns showing 31.18% of males, 26.64% of females, and 23.42% of 18-29 year-olds gave this response.\n\n## Dataset Structure\n\nThe dataset contains:\n- **105 rows total** — each representing a unique question-response combination\n- **16 distinct questions** covering topics like:\n  - Regular job tasks\n  - AI service usage\n  - Work vs. personal AI use\n  - Tasks now handled by AI instead of contractors/coworkers\n- **~64 distinct response options** across all questions\n- **Demographic dimensions**: Gender (Male/Female), Age (4 brackets), Income (5 brackets), Education (4 levels), Race/Ethnicity (4 categories), Region (4 US regions), Employment status (Full-time/Part-time), and Occupation (9 categories)\n\nThe percentages in each demographic column represent the share of that subgroup selecting each response, allowing analysis of how AI adoption and workplace patterns vary across different segments of the American workforce."
}