Enterprise software
Post LinkedIn lead magnet · Enterprise software
The AI boom has created trillions in market value. But it has also created enormous economic exposure. Who actually makes money. Who carries the risk. And who quietly absorbs the downside when the AI story doesn’t play out. Over the last two years, trillions in market cap have been built on assumptions about AI. But most conversations still focus on: – models – benchmarks – demos – hypothetical futures That misses the real question: How does AI translate into durable economic value — today? So I stepped back from the hype and treated AI as what it really is: An economic system. I analysed 10 of the most AI-exposed companies in the world, using the same lens across each one — from infrastructure and cloud, to platforms, enterprise software, and AI-native players. Not to predict “winners” based on innovation. But to understand structure. Who captures value. Who bears risk. And what breaks first if expectations reset. The result is a short, evidence-based report: Understanding the AI Economy Inside, you’ll see: – The four real ways companies make durable money from AI – Why distribution beats model quality — again and again – How AI commoditisation shifts moats instead of destroying them – Where downside risk shows up first when the AI narrative weakens – Why AI concentrates power rather than flattening it It’s a framework for leaders, investors, and operators who need to make decisions before the narrative turns. Comment “AI ECONOMY” and I’ll send it over. If this resonates, feel free to share it. Someone in your network is probably still making AI decisions based on the wrong mental model. ♻️ If this resonated, share it. Someone in your network needs this reminder today. 🔔 Follow Alex Issakova for more clear-eyed takes on the untold stories of AI.
Mécanisme lead magnet
Comment “AI ECONOMY” and I’ll send it over.
