Microsoft Copilot in Excel
Turn natural language into advanced data models, Python scripts, and predictive insights instantly.
Transform raw data into structured insights using generative AI and natural language processing within Google Sheets.
Gemini for Google Workspace, the successor to Duet AI, represents a paradigm shift in spreadsheet management by integrating Google's most capable Large Language Models directly into the Google Sheets interface. As of 2026, the tool functions as a sophisticated data architect, moving beyond simple formula suggestions to complex semantic data classification and autonomous table generation. Technically, it leverages Vertex AI's infrastructure to process natural language prompts and map them to spreadsheet logic, enabling users to create project trackers, inventory managers, and financial models from a single sentence. The architecture supports 'Help me organize' features that utilize zero-shot learning to understand user intent without prior data labeling. Positioned as a direct competitor to Microsoft 365 Copilot, Google Sheets with Gemini emphasizes collaborative AI, where the model can synthesize data from across the Workspace ecosystem—including Drive and Gmail—to populate and analyze sheets. For the 2026 enterprise landscape, it serves as the bridge between unstructured data silos and actionable structured databases, reducing manual data entry by an estimated 70% for standard administrative workflows.
Generates complete table templates including headers, data types, and sample data from a single text prompt.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Uses LLM-based pattern recognition to automate complex data transformations that standard regex or logic can't handle.
Translates complex business logic prompts into nested Google Sheets formulas (e.g., VLOOKUPs combined with QUERY).
Automatically categorizes column data based on the conceptual meaning of the text rather than keyword matching.
Retrieval-Augmented Generation that allows the sidebar to query Google Drive and Gmail to pull data into a Sheet.
Analyzes a data range and automatically selects/configures the most statistically relevant visualization.
Allows users to describe visual rules (e.g., 'Highlight rows where the deadline is past and status is not Done').
Manual creation of complex project trackers with task dependencies.
Registry Updated:2/7/2026
Categorizing thousands of open-ended survey responses into actionable buckets.
Pulling budget data from multiple Gmail threads into a structured budget sheet.