This already in mainstream news says alot: "A new discipline called model routing is taking hold, sending hard tasks to expensive frontier models and easy ones to cheaper, faster alternatives. It can cut AI bills dramatically. But it also means OpenAI and Anthropic stop getting paid for every task, which complicates the IPO story both are built on." A lot of people are worried about AI valuations, IPOs, model routing, token costs, and whether the AI bubble will burst. Maybe it will, maybe it won't. I think we're asking the wrong question. The real question is whether intelligence is becoming abundant, which seems obvious. History shows that when a powerful resource becomes cheaper, people don't use less, they use exponentially more. Computing got cheaper and we built the internet. Storage got cheaper and we stored everything. Bandwidth got cheaper and we streamed everything. Intelligence is getting cheaper, so we'll use it everywhere. Model routing, if anything, it's a sign the industry is maturing. Whether the future belongs to GPT, Claude, Gemini, open source, or something we haven't seen yet, the biggest opportunity won't be in the models themselves but in the systems built around them: ICM, knowledge vaults, agent networks, workflows, governance, context, orchestration, and execution. The people (especially everyone in here learning ICM) who learn how to organize intelligence will likely create more value than the people just consuming. So if you're building skills, systems, agents, GTM/RevOps systems, businesses, or operating frameworks today, don't get distracted by every headline about these $1Trillion valuations or bubbles. Keep building. If the bubble expands, you'll benefit. If the bubble bursts, the skills, systems, and knowledge you've built will still be there, and that's the part nobody can take away. Having our own structurs, scaffolding, or architecture is far more valuable over time. It's also recession proof.

What patterns are working so far, and what new possibilities are on the horizon? I want to start pitching to leads on using folder structure as agent architecture. So far, I'm building with Codex and Claude from my desktop, but that doesn't scale beyond me and my computer. Before I can pitch, I need to develop a clear understanding of what's possible for creating ICM solutions without local-system dependencies. I think managing files in Google shared drive or Microsoft OneDrive could work, but I'm not sure what pitfalls would come up. I'm not sure if ChatGPT or Claude.ai have sufficient agentic capabilities to carry out all the tasks that an ICM workspace would ask them to do. Maybe ChatGPT Workspace Agents or Claude Managed Agents connecting to ICM files in cloud storage is the right answer.