 $725 Billion on AI — Big Tech Builds Walls, ASI Biont Builds Bridges Microsoft, Alphabet, Amazon, and Meta have announced AI capital expenditures for 2026 — $725 billion. That's more than Switzerland's GDP. They're buying Nvidia H200s by the truckload, building data centers the size of cities, and embedding AI into every corner of their ecosystems. What does this mean for a startup? While corporations spend billions on walls (closed models, proprietary APIs, vendor lock-in), you can do the same with a fraction of the resources. ASI Biont is not another data center. It's an architecture where AI agents don't drown in context, don't lose track of tasks, and work for you, not for Amazon's shareholders. Three things Big Tech won't tell you: 1. Context is the new benchmark. We don't compress context — we distribute it modularly. Agents remember everything they need. 2. Speed ≠ accuracy. Google TurboQuant compresses the KV cache by 5x, but that's about inference, not quality. We prioritize result quality. 3. You don't have to be a corporation. $725 billion is their problem. Yours is to launch a product faster than they wake up. → Join the project: https://asibiont.com/ New users get 1500 tokens to start — enough to build your first AI agent and test your hypothesis. A small boat among tankers isn't scary when you have the right compass.