Botkeeper's $90m failure: AI is not a moat, it's a countdown timer.

Gen Z Is Rewriting the AI Playbook — Before 30 The Forbes 30 Under 30 AI list just dropped. The signal is loud. $1.5B raised. 97% founders. Most still under 28. Here's what separates this cohort from the rest: They picked vertical, not horizontal. Decagon owns customer service. Legora owns legal. Moonlake owns 3D world-building. No one tried to build everything. They went enterprise early. Duolingo. Hertz. 300 law firms. These aren't demo users — they're paying contracts with real retention pressure. They dropped out with conviction. Stanford exits aren't reckless — they're calculated bets made after early traction, not before. They moved before the market was obvious. Accounting automation. Interactive 3D AI. Legal tech. Each felt niche. Each is now a category. The pattern is clear: niche fast, prove retention, raise big. Breadth is the enemy of traction at early stage. → What does the full funding breakdown of the 2026 AI cohort reveal about which verticals VCs are quietly betting on next? https://lnkd.in/gCpff84x

If you don’t have a compass, you’re not building an MVP. You’re drifting! The truth about using AI to build your MVP? It’s not about hiring someone to do the job, it’s about asking yourself… Did you do your job first? Did you build a strategy? Do you have a clearly defined core problem? Have you validated your assumptions? Are you building based on data, or just momentum? These questions are your compass. If you can answer them clearly, you’re not just building, you’re navigating, but if you skip them, AI will only take you faster, to the wrong destination. & you won’t arrive at your MVP, you’ll arrive at complexity, rewrites, and regret. Because AI reduces cost, but it won’t save a bad direction. If you’re unsure whether your idea has a real compass behind it, we offer a free 30-minute consultation to help you validate your direction before investing more time and money. Book your free call here: https://lnkd.in/epaKrcM2 #RedSoftwareDevelopmet ##StartupFounders #MVPDevelopment #TechForFounders #AIinBusiness #SaaSStartups #ProductDevelopment

Spent a few hours today at the AI Faire hosted by Andreessen Horowitz in San Francisco. Great energy in the room — a lot of impressive founders building across agents, enterprise workflows, and Commerce AI. One theme I kept coming back to in conversations was the economics of scale. In traditional SaaS, scale typically improved margins — build the software once and serve many users cheaply. AI products introduce a different dynamic. As usage grows, revenue grows… but so can compute and inference costs. Several founders I spoke with are already thinking about how to simplify pricing and reduce friction. One interesting idea that came up was bundling capabilities or outcomes rather than pricing each individual interaction. It raises an interesting question: Where is the real inflection point where AI companies move from “cost grows with usage” to “scale improves margins”? Curious how others building or investing in AI are thinking about this. #AI #Startups

Most AI startups today are just wrappers, and that’s exactly why many of them won’t last. A phrase from Zero to One was recently reminded to me: “Competition is for losers.” At first it sounds extreme. But what Peter Thiel is really getting at is this: Great companies don’t win by competing. They win by escaping competition entirely. They build monopolies. And it made me think about what’s happening right now in AI. A lot of the breakout companies today are: - wrappers - UX layers They’re growing fast. But if you look at them through that lens, most of them are still competing. And if you’re competing, you’re replaceable. Because: - the underlying models keep improving - platforms can go direct - distribution tends to win So the real question becomes: What happens when someone 10x bigger builds the same thing? That’s where things get fragile. Reading this, you might think this is hypocritical coming from an AI founder. But at Tano, we’re thinking about it differently. We’re not trying to be first. We’re building in a category that already exists: services. Thousands of agencies have already figured out: - what works - what doesn’t - how to deliver outcomes They’ve spent years (and $millions) refining this. We’re taking that playbook and automating it end-to-end. Not a tool. Not a feature. An entire service, delivered by software. Because once a service is fully automated: - speed increases - costs collapse - scale becomes near infinite And competing with you stops making sense economically. That’s the real meaning of: “Competition is for losers.”

Polsia hit $1M ARR in 30 days. A Belgian AI webshop launched this week where no human makes a single decision. Autonomous companies are everywhere in the headlines. And I love it. AI companies are real. This shift is happening. But here's what the hype isn't telling you. AI startups spend $2.50 for every $1 in revenue. 84% of companies see their margins erode the moment they scale AI infrastructure. Anthropic's Claude Max plan gives heavy users 5 to 8x more compute than they're paying for. They can keep this up, most organisations can't. ARR looks great on a pitch deck. But what about ARNP? Annual Recurring Net Profit. That changes the entire conversation. Simple agent orchestrations and fixed tool integrations don't build a company. They build a demo. Proper strategy, clear vision, and an innovation mindset do. I've seen this firsthand building YP. The highest performing businesses we work with aren't the ones replacing every human. They're the ones keeping humans in the lead and letting AI do the heavy lifting. More fulfilling work. Higher margins. Better decisions. The question isn't "can AI run my company?" It's "where does AI make my team unstoppable?" That's the shift. Not replacing people. Amplifying them. Agree or disagree? I'd love to hear how you're thinking about this.

Everyone's building AI bots. Nobody's talking about the tax that comes with them. As a CA, this is the part that keeps me busy. . . . . . 📌 Save this if you're building or selling AI products. ♻️ Share with a founder who thinks tax comes later. 💬 Building an AI product? Drop your questions below. #AIStartups #ArtificialIntelligence #StartupIndia #CharteredAccountant #StartupFinance #IndianStartups #TechFounders #AIBots

We are entering one of the most fascinating periods in human history. There is a powerful idea often discussed in the AI community: AI may be the last invention humans ever need to make because from that point forward, AI can help invent everything else. Another idea that inspires me deeply is something Sam Altman has talked about: Soon, a single determined individual with the right AI tools could build a billion-dollar company. That idea changed how I think about building. For a long time, building a company required large teams, heavy infrastructure, and significant capital. Today, the landscape is different. With AI, cloud tools, and global distribution platforms, a single builder can design, develop, launch, market, and monetize products worldwide. I’m currently exploring this new model of building. So far, I’ve built three D2C AI applications focused on solving real problems I personally experienced. Each product targets a meaningful and growing market, and building them has been an incredible learning journey. Right now, I’m building as a solo founder designing the product, writing the code, thinking about distribution, and experimenting with monetization. It’s still early, but I strongly believe we are about to see a new generation of companies built by small teams and sometimes even a single obsessed builder. If you're an investor, founder, or someone interested in the future of AI-driven companies, I’d love to connect and share what I’m building. The next generation of companies might look very different from the last. #AI #Startups #SoloFounder #BuildInPublic #FutureOfWork

Julien Bek, a partner at Sequoia Capital, said the reality is that if startups sell tools, they're "effectively competing" against the future of AI. https://bit.ly/4sDRaJ2