#openledger $OPEN
Model commoditization: This is correct. Over time, GPT-level models will become widely available everywhere.
Moat shift: The real value is moving away from the model itself toward:
workflows
integrations
tooling / orchestration
real-world execution
Browser automation + APIs: If AI can reliably use tools, it evolves from a “chatbot” into an “operator layer” rather than just a conversational system.
⚠️ What is still speculative
“Self-improving agents” are currently limited to controlled environments in practice.
“Proactive intelligence” is often just a marketing term unless there are:
clear safety boundaries
deterministic behavior
auditability
“Autonomous market research / capital systems” is conceptually possible, but in real-world deployment it faces major issues like:
latency
noise
manipulation risk
💣 The core reality (important part)
If AI agents actually start executing actions, the biggest bottleneck will not be the model itself, but:
👉 trust + permission + security layers
Meaning:
What actions is an agent allowed to take?
To what extent are those actions permitted?
How do we roll back incorrect actions?
How do we defend against prompt injection?
This problem is harder than “skills” themselves.
🧠 Bottom line
This vision is not wrong, but it is framed a bit early-stage.
The future will likely not look like:
AI autonomously doing everything
Instead, it is more likely that: