Airtable AI Review: the Best No-Code Tool for Automation in 2025?

Eugene Suslov 28 Apr 2025

AI has revolutionized business tech with unprecedented speed, power, and accuracy, making professionals more effective than ever. What used to take tons of time and effort can now be fully automated with peace of mind that AI will get the job done.

And while new AI-powered tools are coming to life, the long-established players are increasingly adding new AI products and features to their platforms to maintain their competitiveness.

One such example is Airtable—a well known spreadsheet-database platform that enables teams to automate workflows, track projects, and build custom apps—a leader in the no-code space.

Just last year they rolled out their very own AI assistant (AIrtable AI) with a suite of diverse AI features built directly into their core product.

But how well does it work in practice, and is it worth the investment for your business in 2025, given the numerous, more specialized AI alternatives out there? Let’s find out.

What is Airtable AI? Product overview

So what is Airtable AI and how does it work?

For starters, let’s quickly remind ourselves of Airtable, the core product that recently created this AI assistant. Airtable is a cloud-based platform that fuses the ease of spreadsheets with the power of data. Launched in 2012, Airtable enables users to organize their data by creating different kinds of tables, views (grid, kanban, etc.), and custom fields.

Airtable particularly gained popularity due its no-code features that empowered sales, marketing, HR, and other non-technical teams to manage projects, automate data-driven processes, and visualize data the way they prefer.

There are literally hundreds of use cases for no-code project management tools like Airtable, from keeping track of customer data and purchase orders to running marketing analytics or organizing SDR onboarding plans, just to name a few.

Now, back to the tool of the hour—their new Airtable AI assistant.

Rather than creating a standalone app like some other companies do, Airtable AI is a ‘product within a product’, bringing brand new, AI-powered features to the Airtable suite.

According to Airtable, the goal of their new assistant is to “harness generative AI in everyday work,” while enhancing workflows and building apps from scratch.

At its core, Airtable AI can summarize your data, uncover insights, tag data, link items in workflows, generate copy, extract info from documents, translate text, and more – all inside the Airtable platform.

Airtable already had impressive features, but this new AI engine definitely took the product to the next level. For instance, while their spreadsheets were already very effective, users can now create ‘AI fields’ in their spreadsheets, ask AI to analyze documents (even PDFs with 1000s of pages), extract relevant data, and then organize it into tables.

With their new Cobuilder feature recently released, Airtable users can create entire projects and applications from a simple natural-language prompt, such as “I need an app to manage my event registration”.

On top of that, AIrtable AI can also answer any questions users may have about their data or projects, for instance “which product had the highest revenue this quarter in region X”.

The Airtable AI assistant is still relatively new and technically still in beta, despite being over a year on the market, and there are definitely certain limitations that would prevent it from being the best choice for different teams that have specialized AI tools to choose from.

For instance, no-code tools have been a hidden sales software hack for quite some time now, so there are numerous specialized alternatives out there to choose from.

More meetings, less manual work

Plug Jason into your workflow (yes, even Airtable), and watch the meetings roll in.

Book a demo

Main features of Airtable AI

Now that we’ve covered the basics, let’s take a more detailed look at Airtable AI’s main features along with examples of use cases. As a reminder, Airtable AI assistant is integrated into the Airtable platform, so some features will be overlapping with various previously-existing ones.

AI-powered business insights

The main goal of identifying, storing, and organizing business data is to identify trends, draw conclusions, and determine actionable insights that help professionals make smarter decisions.

Well, Airtable AI does just that. It can process as many datasets as needed, identify those most relevant to the task at hand, and connect data across tables and records on your behalf.

In practice, users can simply chat to Airtable AI assistant as they would with ChatGPT. They ask whichever questions they have, Airtable AI processes their request, analyzes data, and produces an accurate response in seconds.

For instance, you may ask “How many customer complaints did we resolve in Q4, and what was the average resolution time?”, or task it to “Summarize the top prospect pain points from last quarter’s feedback forms”. To take it a step further, marketing managers could even ask “Which marketing campaign had the highest ROI last quarter and why?”.

Under the hood, Airtable AI will process your request, go through your data sets, find the answer, and respond with concrete, data-backed insights that businesses can use to shape their strategies and operations.

Think of it as your AI consultant that will not only answer your questions but also offer additional business insights, highlight trends, and offer suggestions related to your request.

The only real limitation here is that the AI assistant can only work with data you’ve already uploaded to Airtable, it cannot create entirely new data. However, Airtable is known to have numerous integration capabilities with other tools, so depending on your tool stack, this AI assistant may be able to work with third-party data as well.

AI document analysis

Next up, we have Airtable’s new AI document analysis which enables users to upload all kinds of documents, even PDFs 10,000 pages long, and ask the AI model to scan and extract relevant data points. Pretty neat!

Whether it’s a Word document, PDF, or even image—users can simply upload their files and give the Airtable AI assistant a task. For example, you could upload a batch of contracts and ask AI to flag any unusual clauses and/or extract key information (names, dates, company names, financials, etc.) and organize them in tables.

AI will read through your contracts, analyze every page and every sentence, and extract all the relevant data to get the task done. Moreover, it will identify any relevant insights that may be related to your query but you did not explicitly ask for.

For teams and professionals dealing with tons of documents, this can truly be a game-changer, saving them precious time that can instead be spent on making use of the derived information.

The possibilities with this AI feature are endless—you could ask Airtable AI to find one specific insight among 10,000 pages, completely automate the data entry process from an extensive document, identify any potential financial risks in contracts, and the list goes on.

AI web research & data enrichment

While Airtable was always known to do magic with your internal data, its new AI assistant can now enrich data sets with external information. Users can create “always-on” web-research fields in their spreadsheet rows, and Airtable AI will get busy researching the web to extract relevant data.

As an example, Airtable users can create special AI fields for ‘company information’ and ‘product description’ in their existing spreadsheets, and AIrtable AI will search the web for that information and fill in the missing fields. It’s like having thousands of mini web researchers continuously working in the background.

The opportunities with this tool are also versatile. For a sales team, imagine having a list of leads and creating several AI fields alongside them—Airtable AI could identify the lead’s company name, company size, recent news, funding information, and more.

While it doesn’t have the power to identify potential leads on your behalf like dedicated AI sales agents, aka AI SDRs, it’s still a pretty cool feature to have in your back pocket.

AI that sells (so you don’t have to)

Jason doesn’t just talk—he books real meetings with real prospects.

Book a demo

No-code app generation (Cobuilder)

This is the latest Airtable AI feature addition, and it’s a great one. Airtable Cobuilder is a one-click way to create an entire project or application from a simple prompt text. Users simply describe the app they want in plain language, and Airtable’s AI will automatically generate tables, fields, and relationships.

Once created, you can keep entering prompts to further customize and refine the app, while the Cobuilder will be working its magic in lightning speed.

Don’t expect any miracles here like full on software creation (though there are now tools for that too!), but you can still enjoy prototyping and engineering your projects rather than building them on your own.

Once again, there are endless possibilities with this Airtable AI feature—sales teams can create a full-on sales pipeline, marketing teams can create a webinar management app, HR teams can create an onboarding workflow, and the list goes on and on.

Business teams can then keep refining their new projects/applications as they go, adding new tables, AI fields, information blocks, and so on. In the example of the webinar management app, marketing teams can create a list of attendees along with their relevant information, brainstorm topics, keep track of their expected speakers, etc.

Smart fields and automations

Beyond the headline features above, Airtable AI also offers numerous smaller features to further improve the user experience:

AI formula generator → when you’re stuck on how to write a formula, the AI assistant will do it for you—simply tell it what you want, for instance “if the company funding is above $10 million, mark ‘high’, else ‘normal’), and AI will create the formula syntax.
Auto-categorization (AI fields) → in any long text or attachment, you can ask the AI to auto-tag records, for example—to tag customer feedback by sentiment or topic. No more reading through extensive texts, identifying data points, and categorizing it.
Translate content → Airtable AI can translate any text field into multiple languages and adjust the tone to make it natural, making it ideal for global teams working across several regions.
AI automations → quite ambiguous, but in short, this feature allows users to set customized triggers for certain actions. For example, automation could be “when a new contract PDF is uploaded, AI-analyze it and post any risky clauses to Slack.”

Airtable AI pricing

The features are impressive, now, let’s take a quick look at the Airtable AI pricing.

For starters, a reminder that the Airtable AI assistant is not a standalone product but an integrated tool within Airtable itself. Airtable has 4 pricing plans, and all of them offer access to their AI assistant, except the freemium.

What’s surprising is that the 3 plans that offer access to Airtable AI all offer the same amount of credits for using the AI assistant.

Speaking of credits, Airtable AI does not have a fixed price. Instead, teams top up AI credits to use the assistant’s features, and once they run out—they simply purchase more.

The AI credits system may seem confusing at first, but once you understand how many credits each task consumes, it’s pretty easy to calculate how many your team needs on a monthly basis.

For reference, categorizing one piece of feedback, translating 100 words, or scanning a small doc will only set you back a few credits.

Airtable users have 2 choices—they can use the AI assistant for free but only up to 500 credits a month, or pay $6 per user per month for 3500 credits. The free plan is definitely not enough power for teams to fully enjoy the AI assistant, so it’s more of a test plan to get a feel for the product.

Airtable AI reviews

The best way to judge a tool is to take a close look at the reviews from verified users, and that’s exactly what we’ve done.

Airtable has thousands of reviews and great ratings on the top review sites like G2 and Capterra, but since Airtable AI is not a standalone product—it wouldn’t be right to judge it by those scores.

Instead, let’s take a look at the most commonly-mentioned AIrtable AI reviews out there:

✅ Airtable users overwhelmingly report that the addition of AI features made the platform much more powerful, enabling them to work faster and more efficiently;
✅ Many users praise the no-code cobuilder feature that allows them to create and customize projects and applications from simple prompts;
✅ Several users mention that the new AI assistant helps them in their decision-making by analyzing data and providing insights, all while saving time;

❎ It came up multiple times that the AI assistant is still in its early stages and has certain glitches, limitations, most notable—not processing prompts 100% correctly;
❎ The most common negative feedback is the cost—users report that the AI credits system adds up quickly and can make it pricey for growing teams;
❎ Some users also mention that they would like to see more powerful generative AI models in the product to produce better quality copy.

Here are some of the top rated positive reviews on Airtable AI assistant:

I use it everyday and just started to use the AI Assistant that is built in to help me build dashboards for the data — it was very easy to use and implement and I will be integrating the dashboard into my weekly meetings with my boss.

The best example is how they have integrated AI into the product and allows Airtable apps to be powerhouses in their own right — and without needing to add on many (or any) additional tools to make meaningful change for the users of Airtable.

And here are the most popular negative comments by Airtable AI users:

The AI assistant needs to be better with processing plain language. While it was a great tool to easily create an invoice management dashboard, the AI Assistant wouldn’t edit it after it was created and I had to do it manually.

I’m also not a fan of how Airtable is implementing AI with “AI tokens.” They make me afraid to use the AI features in Airtable for fear I’ll exhaust my team’s tokens, cost us more money, etc. So, I don’t use them. I wish AI was just included in plans and not made available via an awkward, convoluted Add On.

The top Airtable AI alternatives (per use case)

No single tool is perfect for every scenario. and Airtable AI is no exception. Even with its new impressive AI features, Airtable remains a more general project management tool. What this means is that the more specific, purpose-built AI tools on the market have significant advantages for sales, marketing, HR, and other operations.

So while Airtable AI is a great tool, the real question is whether there are other, more specialized tools for your exact business needs out there. Here are some top alternatives:

Sales teams → Airtable AI can help organize leads and draft simple messages, but that’s about it when it comes to assisting sales teams. Sales teams would be much better off with a dedicated AI sales tool like Jason AI, a standalone AI sales agent that handles virtually all sales tasks on its own.

Where Airtable AI organizes leads—Jason AI builds entire prospect lists on your behalf, where Airtable AI drafts simple messages—Jason AI generates hyper-personalized sales messages at scale, across multiple channels including email, LinkedIn, and more.

And to top it off, Jason AI will also handle responses on your behalf by answering questions, handling objections, and booking meetings. Combine that with a sales automation platform like Reply.io, and you’ll be able to store and organize your sales leads and deals just as well as with Airtable, only with a ton of extra features designed for sales teams.

Similarly, sales and lead generation agencies will undoubtedly be better off with dedicated sales enablement tools for agencies that will do around 70% of what Airtable AI does, only with a bunch of additional features to help manage multiple clients.

Feels like a human. Works like 10.

Jason’s outreach is so smooth, leads won’t even know it’s AI.

Book a demo

Marketing teams → same logic applies for marketing teams, there are so many AI-powered marketing tools out there that it’s hard to imagine where Airtable AI fits in their workflows. Marketing teams can leverage AI integration tools like Zapier to merge workflows, dedicated AI generative tools like Jasper for marketing copy, AI email marketing tools like Mailchimp for managing campaigns, and so on.

Even though Airtable AI touches several areas of marketing, those features are much less advanced than the ones provided by specialized tools. Given the importance of marketing automation, this is definitely not an area to save costs with a less effective but more consolidated tool. In addition, if your business already uses a CRM platform—it’s hard to imagine where Airtable AI can bring more to the table.

No-code app builders → by adding their new Cobuilder feature, Airtable AI now competes with other no-code app builders, and that’s a tough one because several tools out there crush Airtable in terms of functionality. For instance, tools like v0 can not only generate tables, databases, and projects from scratch but also create entire complex software solutions from simple prompts. With a few refinements here and there, users can literally create fully-functioning apps in a matter of minutes or hours, something that Airtable cannot do.

Project management → even when comparing Airtable’s main competitors, other project management tools, it’s clear that there are several powerful alternatives out there. Take Notion AI for instance—AI writing, summarizing, brainstorming, data organization, and data analysis—all of the key features that Airtable AI offers. Only on top of all that, users get access to an AI-powered knowledge database, simplified team collaboration tools, and more, for more or less the same price.

The verdict: is Airtable AI the right tool for your business?

In summary, while Airtable AI is a pretty good tool, given its numerous use cases and areas of functionality, it now overlaps and therefore competes with numerous other established AI tools on the market.

So if your business consistently works with a bunch of data, spreadsheets, tables, etc. that all need clear and automated organization and interpretation—Airtable AI is a fantastic addition to your tool stack, though you’ll undoubtedly still need several other AI tools for your sales and marketing teams.

On the other hand, if your business already has or is considering getting a CRM platform to manage its data and customers, that’s probably the better option. Moreover, CRMs seamlessly integrate with other, more specialized AI tools like Jason AI to create a cohesive AI engine in the business.

For businesses already using Airtable, it’s a no-brainer—defintiely invest more money into leveraging their AI assistant in your workflows. It will make your existing data and project management much more efficient and effective. Definitely worth the extra cost.

However, is the new Airtable AI assistant enough for new users to financially commit to the entire Airtable suite? Probably not. In any case, it all depends on your unique business needs.