I recently listened to a podcast that perfectly captured where we are today: we are currently in the "command line" era of AI.
Everything is in its infancy and exploratory phase. The technology relies on us forcing static prompts into isolated models, doing the heavy lifting of copy-pasting and workflow coordination ourselves. But the truly interesting phase is going to happen when the infrastructure layer—the chips, power, cooling, and data centers—finally stabilizes.
Once these physical bottlenecks clear, the market value will inevitably migrate upward, splitting into a few distinct waves:
The Agentic Orchestration Plane: Autonomous software layers that act as the hands and feet for AI, plugging directly into the deep, messy, legacy systems that actually run global enterprises.
Proprietary Data Fabrics: High-performance retrieval-augmented generation (RAG) networks that monetize proprietary, domain-specific data context rather than raw, commoditized computing power.
Verticalized AI-Native SaaS: Hyper-specialized software giants scaling up usage and adoption within their own niche verticals, moving from seat-based licenses to full task automation.
There is a investment arbitrage sitting in the market right now. Because Wall Street is looking at this through a clouded window, it is pricing many SaaS giants like dying, low-margin utilities. The market is completely blind to how early this cycle is, and is missing the impending transition of these software platforms profitable, consumption based autonomous execution engines.
While the hardware grid is heavily priced in, the data, orchestration, and security layers quite attractive as everyone is chasing the capex in semi's and datacenters.