Stop Hiring. Start Scaling. The Autonomous Business Model with Amos Bar-Joseph скачать в хорошем качестве

Stop Hiring. Start Scaling. The Autonomous Business Model with Amos Bar-Joseph

What if your next hire wasn't a "Human Employee"? After two B2B exits, Amos Bar-Joseph is done with the "growth at all cost" playbook. The one that has you raising millions before you know who you're selling to, scaling headcount before you have product-market fit, and building a B2B company too bloated to maneuver when the market shifts. Now, as Co-Founder & CEO of Swan, he's building something different: the autonomous business model. Three co-founders. 200+ customers. Millions in pipeline generated mostly by one person writing social content on the internet and letting AI agents handle the rest. His mission is to hit $30M ARR without ever throwing bodies at a scaling problem; proving that revenue per human employee, not just adding headcount, is the real growth metric. In this episode, Amos breaks down exactly how founders and B2B revenue leaders can stop bolting AI onto broken go-to-market processes and start scaling with intelligence instead of headcount. You'll learn: Why 90% of AI GTM implementations fail; and the two root causes behind it The "zone of genius" framework for deciding what your humans should own vs. what AI agents should automate Why replacing humans with AI is a losing bet; and what the second wave of AI companies is doing differently How lean teams can get started with AI even when there's no time to figure it out Why brand is now your most important competitive moat in an AI-native world Whether you're a founder trying to do more with less, a B2B revenue leader building a smarter go-to-market motion, or just trying to understand where this is all heading; this one is required listening. 🎧 Subscribe to Growth Department on Apple Podcasts, Spotify, and YouTube. 🔗 Follow Amos on LinkedIn → linkedin.com/in/amos-bar-joseph 🤖 Check out Swan → getswan.com 🌐 More from Growth Department → growthdepartment.com Also, check out the podcast that Amos mentions here:    • Ilya Sutskever: Deep Learning | Lex Fridma...