Airtable AI
← Back to All AI Tools1. Should you try Airtable AI? Overview
| What it is | Low-code database and app builder with built-in AI |
| Country / HQ | San Francisco, USA |
| Best for | Turning spreadsheets into relational apps with AI assistance |
| Check before buying | Start from a template or a blank base and define your tables and how they link. |
| Editor rating | 4.5 / 5 |
| Pricing signal | Free tier + paid from $20/mo |
2. Features What it does
| Feature | What it does |
|---|---|
| AI in fields | Generate, summarise and classify text directly inside table fields with configurable prompts. |
| Interfaces & forms | Build internal tools and data-entry forms on top of the base without code. |
| Automations | Trigger AI steps on record changes, plus 50+ native app integrations. |
| Linked records | Relational modelling that a flat spreadsheet cannot express cleanly. |
| AI credit packs | Buy extra AI credits in 10k blocks when teams outgrow the included amount. |
3. Pricing Pricing (2026-10, USD)
| Plan | Price / mo | Key limits & who it fits |
|---|---|---|
| Free | $0 | Oct 2026 Up to ~500 AI credits/year included; core base features |
| Team | ~$20-24/seat/mo | Oct 2026 ~15,000 AI credits; interfaces, automations, more records |
| Business | ~$45-54/seat/mo | Oct 2026 ~20,000 AI credits; enterprise admin and security |
| Enterprise | Custom | Oct 2026 ~25,000+ AI credits; SSO, audit logs, custom limits |
| AI credit pack | $20 / 10k credits/mo | Oct 2026 Add-on for teams that burn through the included allowance |
Start from a template or a blank base and define your tables and how they link.
4. Integration Access & integrations
| Access type | Details |
|---|---|
| Native | apps for web, desktop and mobile. |
| Integrates | with Slack, Google Workspace, Jira, Salesforce, Zapier and 50+ more. |
| REST | API and scripting extensions for developers. |
5. Reviews & Sources External reviews
| Source | Rating | What it says |
|---|---|---|
| G2 | 4.5+/5 | Loved for flexibility; some note the learning curve for relational design. |
| Capterra | 4.5+/5 | Praised as a spreadsheet replacement for ops teams. |
| Editorial | Positive | AI field features are genuinely useful once a base is modelled well. |
6. Best for / Not for Fit
| ✔ Suitable | ✘ Not suitable |
|---|---|
| • Operations, project and product teams that need a custom relational app without hiring engineers. | • Pure data-analysis workloads better served by a warehouse, or single-user to-do lists. |
7. Competitors How it compares
| Competitor | How it differs | Best for |
|---|---|---|
| Notion AI | Notion is a docs/wiki first with AI; Airtable is a database first. | Choose Notion when the work is documents and notes with light structure. |
| Smartsheet | Smartsheet leans into project management with familiar sheets. | Choose Smartsheet when PMO-style planning and Gantt views matter most. |
| Coda | Coda blends docs and tables with automations and AI. | Choose Coda when you want one flexible doc-table hybrid. |
| Monday.com | Monday is a visual work OS strong on boards and dashboards. | Choose Monday for out-of-the-box project tracking. |
| Asana | Asana is a task and workflow tool, not a relational database. | Choose Asana when the priority is task management, not custom data models. |
| Google Sheets + Gemini | Sheets with AI is free-ish and familiar but flat. | Choose Sheets when you just need quick AI on tabular data, no app. |
| ClickUp | ClickUp bundles tasks, docs and goals in one platform. | Choose ClickUp when you want an all-in-one productivity suite. |
8. Summary Verdict
| Takeaway | Airtable AI is at its best when you already think in tables and relations – the AI field turns a base into a lightweight app that writes and classifies for you. The credit model is reasonable but worth modelling, because once a team automates AI across thousands of records the add-on packs become a line item to watch. |
| Who should pick it | Operations, project and product teams that need a custom relational app without hiring engineers. |
| Who should skip it | Pure data-analysis workloads better served by a warehouse, or single-user to-do lists. |
Event history
- 2024-11 Active — First-party AI (Coca), active Source
