All companies are pivoting to AI, but not all of them are succeeding. We’ve been tracking the standouts, and after sharing our Duolingo case study, we’re now diving into how Airtable became an AI-first company, including the pros and cons of that shift. As AI becomes more embedded in everyday life, would you send your kids to an AI-powered school? And more importantly, who’s funding the training of tomorrow’s AI-ready teachers? Let’s explore.
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How Airtable Became the AI-Native App CompanyIn June 2025, Airtable reintroduced itself not just as a no-code platform but as an AI-native operating system for business apps, powered by agentic automation. This wasn't a feature update. It was a refounding. At the center of this shift is Omni, Airtable’s new AI agent that designs, builds, edits, and analyzes data across applications. This is to give users AI-powered superpowers. Before AI-Native AirtableThe Refounding in 2025
What Is Omni?Omni is more than a chatbot. It’s a full-stack AI agent with enterprise awareness:
Real-World Use Cases1. Creative Campaign Builder
2. Sales Intelligence System
3. Massive AI Analysis at Scale
The Breakthrough: From AI Features to AI SystemsAirtable’s competitive edge isn’t just conversational UI, it’s operational AI.
Impact So Far (Mid-2025)Metric Result AI adoption 100% of new users onboard into AI-native flow Time saved Creative, sales, and ops teams report 60–90% time reduction in core processes AI agents launched Thousands of daily agent tasks across enterprise use cases Business model New AI credits included in every plan, even free. DrawbacksWhat This Means for the Industry
Airtable redefined how apps are built, how they run, and who builds them. This AI-native transformation proves that the next evolution in software isn’t about more features, it’s about fewer barriers. Omni gives every business the ability to build, automate, and evolve with AI in the loop. 🧠 Learning Corner.
Would you send your kids to an AI School?Alpha School is an experimental private school using a “2-Hour Learning” model powered by AI, aiming to deliver core academics in just two hours per day, claiming up to 2.6× faster learning. The school, run by Unbound Academy, targets high-IQ students and emphasizes mastery-based progression, personalized pacing, and data-driven feedback. Students engage in focused learning bursts with real-time dashboards tracking their performance and engagement. While the approach is innovative and tech-enhanced, the model’s true effectiveness is still unproven due to potential selection bias and a lack of independent studies. It shows promise, but remains an elite and experimental educational experiment. Who is Bankrolling AI Training for Teachers?Even if you we think taking your kids to an AI shool this is a bad idea, all education is under going major transformation. OpenAI, Microsoft, and Anthropic are funding a new National Academy for A.I. Instruction in New York City, led by the American Federation of Teachers (AFT), with $23 million to help educators integrate AI into the classroom. The goal is to train teachers on how to use tools like ChatGPT, Copilot, and Khanmigo to streamline tasks such as lesson planning and email writing, while ensuring responsible, ethical use. Microsoft will contribute $12.5M, OpenAI $10M, and Anthropic $500K. This move is part of a broader push by Big Tech to shape the role of AI in education and reflects growing public-private partnerships. Researchers have raised concerns about misinformation, turning kids into lifelong users of AI, reduced critical thinking, and exploitation in AI training data. Despite these risks, early workshops have shown promise in helping teachers become more efficient, potentially reshaping classroom workflows, but is it better for students? 🧰 AI ToolsNote Taking
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Tuesday, July 8, 2025
🛠️How Airtable Became the AI-Native App Company
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