Airtable AI

Airtable AI is an AI-native layer built directly into Airtable’s connected applications platform, designed to help teams generate, transform, and analyze information where their data already lives. It allows users to add AI fields to any base, enabling capabilities such as summarizing long text, extracting key entities, classifying records, generating content, and translating text at scale. Because Airtable AI is integrated with existing workflows, it can act on structured and unstructured data from multiple sources, including synced tables and interfaces, without requiring separate tools or complex integrations.

Key features include configurable AI prompts that can be tailored per field, record, or use case; automations that trigger AI actions based on changes in data; and the ability to combine AI outputs with formulas, views, and permissions. Teams can use Airtable AI to create executive summaries from project updates, generate campaign copy from product attributes, standardize qualitative feedback into categories, or draft status reports from task data. The tool also supports collaboration by surfacing AI-generated insights directly in interfaces that stakeholders already use, helping organizations move from raw data to actionable outcomes with less manual effort and more consistency.