AI governance is an inevitability—not a question of if, but when and how. It won’t emerge uniformly or all at once, but the trajectories are already visible. One to watch: the VP-of-AI to AI-VP pipeline, where advisory and operational roles handled by humans evolve into partially or fully autonomous agents within leadership structures. The next step is an agential system occupying a board seat—initially in strategic advisory capacities, especially in nonprofits or think tanks, where AI models can be deployed for scenario planning, forecasting, and internal policy generation.
There are already entities like truth_terminal on X—self-governing, incorporated, earning income, operating with identity, memory, and directive logic. These are machine-anchored institutions, and they’re no longer theoretical.
Corporations are legal persons. This is simply the continuation of that logic under accelerating technological paradigms. When synthetic cognition becomes an integrated, participating node in institutional decision-making, the shift will appear sudden—but it won’t be. The groundwork is already here. The frontier labs, the product strategy bots, the self-improving LLMs behind closed API doors—they’re shaping decisions now.
This is not about anthropomorphizing systems. It’s about recognizing that agency and influence are not contingent on being human. And once those qualities are embedded in powerful institutions, governance will follow—because it must.
Hi Anna, I agree that the tariffs are not the end goal—otherwise they would not have used this type of logic. The goal is to use them as political power to coerce various stakeholders within the US and abroad into submission.
AI governance is an inevitability—not a question of if, but when and how. It won’t emerge uniformly or all at once, but the trajectories are already visible. One to watch: the VP-of-AI to AI-VP pipeline, where advisory and operational roles handled by humans evolve into partially or fully autonomous agents within leadership structures. The next step is an agential system occupying a board seat—initially in strategic advisory capacities, especially in nonprofits or think tanks, where AI models can be deployed for scenario planning, forecasting, and internal policy generation.
There are already entities like truth_terminal on X—self-governing, incorporated, earning income, operating with identity, memory, and directive logic. These are machine-anchored institutions, and they’re no longer theoretical.
Corporations are legal persons. This is simply the continuation of that logic under accelerating technological paradigms. When synthetic cognition becomes an integrated, participating node in institutional decision-making, the shift will appear sudden—but it won’t be. The groundwork is already here. The frontier labs, the product strategy bots, the self-improving LLMs behind closed API doors—they’re shaping decisions now.
This is not about anthropomorphizing systems. It’s about recognizing that agency and influence are not contingent on being human. And once those qualities are embedded in powerful institutions, governance will follow—because it must.
Your government is about to discover the productive forces really are more important than the structural relations of production.
Celebrate.
@ncotemunoz Very enjoyable read. What do you think about a notion that the tariffs are not the end and there could be larger strategic goals?
Hi Anna, I agree that the tariffs are not the end goal—otherwise they would not have used this type of logic. The goal is to use them as political power to coerce various stakeholders within the US and abroad into submission.