Airtable CEO Pushes Employees to “Play” with AI Instead of Work

Artificial Intelligence has quickly moved from being a side experiment to becoming the heartbeat of many technology companies. But while most CEOs are urging their teams to adopt AI within structured workflows, Airtable CEO Howie Liu is going in the opposite direction—encouraging his 700+ employees to drop routine commitments and spend full days or even weeks experimenting freely with AI tools. It’s a radical philosophy that puts curiosity, creativity, and play at the center of corporate innovation.

Airtable’s Bold AI Experiment

Airtable’s cofounder and CEO, Howie Liu, recently shared on Lenny’s Podcast that he is giving employees explicit permission to cancel all meetings and focus exclusively on AI exploration. Liu, now 36, insists that “play” and “experimentation” are the most powerful ways to understand and unlock AI’s potential.

But he isn’t just making this a company policy—he models it himself. Liu openly admits to being Airtable’s “No. 1 most expensive” AI user, intentionally running up hundreds of dollars in inference costs for projects such as analyzing sales call transcripts. While this may sound wasteful on the surface, Liu argues that the insights gained are worth exponentially more than the cost, especially when compared to expensive consulting firms that would charge millions for similar analysis.

This philosophy reflects a broader Silicon Valley trend where executives are pressing teams to become fluent in AI. Microsoft’s Julia Liuson has said AI is now “core to every role and every level,” and Google’s Sundar Pichai has told employees to “be more AI-savvy.” Amazon’s Andy Jassy wants teams to use AI to work leaner, and Shopify requires departments to prove AI integration before asking for additional resources.

Other companies are taking a more playful approach, similar to Airtable. Duolingo, for example, has introduced weekly “f-r-A-I-days,” where teams spend every Friday morning testing AI’s ability to improve efficiency. CEO Luis von Ahn explained that this encourages employees to explore new use cases without the fear of failure.

For Airtable, this push is tied to its transformation into an “AI-native app platform.” Valued at nearly \$12 billion in 2021, the company relaunched in June with the mission to build scalable AI-powered applications beyond simple chatbot interactions. Liu calls this the “killer application of AI”—tools that let businesses customize and scale AI for real productivity gains.

What Undercode Say:

Airtable’s strategy represents a fascinating shift in how companies view AI adoption. Instead of limiting AI to structured workflows or corporate training programs, Liu is pushing for unstructured exploration. This is a gamble—but it’s one that could redefine how businesses unlock innovation.

From a business perspective, the philosophy of “wasteful” AI usage is actually a powerful investment mindset. By allowing employees to generate insights, test tools, and even fail without penalties, Airtable builds a culture where experimentation is valued over rigid efficiency. In fact, this echoes the earliest days of Silicon Valley, when tinkering and curiosity often sparked billion-dollar breakthroughs.

It’s worth noting that Liu’s approach also challenges the traditional obsession with productivity metrics. Canceling meetings for AI playtime could raise eyebrows among traditional managers, but in reality, meetings often slow down innovation. If employees can uncover smarter workflows or entirely new AI-driven solutions during this exploration time, the ROI far outweighs lost meeting hours.

The strategy also puts Airtable in direct competition with industry giants like Microsoft and Google, who are embedding AI deeper into their core tools. But while those companies are institutionalizing AI usage, Airtable is betting on freedom and creativity. That distinction could make it an attractive workplace for talent who want to push AI boundaries without being tied to rigid corporate rules.

On a cultural level, Liu’s stance reinforces the idea that AI is not just a tool—it’s a playground. When employees view AI as something fun and exploratory, they are more likely to discover unexpected use cases. This mindset may also reduce fear around automation, reframing AI from a threat to an ally.

There’s also a competitive branding angle. By positioning Airtable as an “AI-native app platform,” Liu isn’t just catching up with the AI wave—he’s trying to put Airtable at the center of it. In an ecosystem where nearly every tool is racing to add “AI features,” Airtable’s bet on scalable, customizable AI platforms could be its biggest differentiator.

However, the approach isn’t without risks. Allowing employees to cancel meetings and experiment freely could lead to productivity gaps if not balanced properly. The line between valuable experimentation and wasted time is thin, especially in fast-moving markets. Airtable will need to ensure that insights gained from “AI play” translate into real product innovation and customer value.

Still, this bold experiment may set a precedent. If Airtable’s strategy works, other mid-size tech companies could adopt similar models, giving employees structured time for AI discovery. In the long term, this might become as standard as Google’s famous “20% time,” which led to innovations like Gmail.

Ultimately, Liu’s message is clear: AI mastery will not come from training manuals alone. It will come from curiosity, play, and even a bit of intentional wastefulness. In a world where AI adoption is often framed as a rigid requirement, Airtable’s approach feels refreshingly human.

🔍 Fact Checker Results

✅ Airtable relaunched in June 2023 as an “AI-native app platform.”
✅ CEO Howie Liu did encourage employees to cancel meetings for AI experimentation.
✅ Other companies like Microsoft, Google, Amazon, Shopify, and Duolingo are also pushing employees toward AI adoption.

📊 Prediction

If Airtable’s experiment pays off, expect a wave of mid-sized tech firms to adopt similar “AI playtime” policies, especially those seeking differentiation from giants like Google and Microsoft. Within the next two years, structured AI exploration could become a common workplace benefit—positioned not just as a productivity booster, but as a talent magnet for creative, tech-savvy professionals.