Roshni Kumari

Here’s how most AI features die: a developer calls an LLM, it works in staging, ships to production, and three days later a model provider goes down. Or hits a rate limit. Or the agent silently loops. Or it does something irreversible without asking anyone. The model was never the problem. The infrastructure around it was. That’s the gap Vercel’s AI Cloud is built to close and over the last six months, the pieces have quietly locked into place. This post walks through what’s actually new, why it matters ...

Let me paint you a picture. It’s 2026. AI isn’t just a feature anymore — it’s the operating system of the cloud. Companies aren’t asking “Should we use AI?” They’re asking “How fast can we deploy agentic AI to automate our entire IT service desk?” or “Can we build AI factories that generate revenue by 2027?” AWS is projected to hit $75 billion in AI-related revenue by 2028. The OpenAI deal alone could bring $138 billion in spending over the next seven to eight years. And here’s the kicker AWS plans to do...

Your Competitors Aren’t Waiting: Is Your Enterprise Strategy for Agentic AI Set for 2026? The End of the “Chatbot Era” and the Rise of Autonomous Agents For the past two years, the corporate world has been captivated by Generative AI. We have seen a proliferation of chatbots that can draft emails, summarize meetings, and write code snippets. But let’s be honest: these are passive tools. They wait for a prompt, they react, and they stop. They do not do. We are now standing at a definitive inflection point...