AGI has arrived, and with it, the possibility of creating organizations that can continuously improve themselves. This is not just about making existing human workflows more efficient, but about redesigning the organization itself around autonomous intelligence. The post-AGI era will be defined by companies that can build, assess, and improve their capabilities without human intervention.
The key to this transformation is the ability to extend recursively self-improving loops (RSI) across every layer of the organization. This means that the organization can learn from its own performance, improve its systems, and adapt to new challenges without human intervention. The implications of this are profound, and will require a fundamental shift in how we think about organizations and their role in the economy.
One of the most significant challenges in building post-AGI companies is the need for open intelligence. This means that organizations need access to models that they can inspect, deploy, specialize, post-train, and control. Closed models, on the other hand, create a concentration risk and limit the ability of organizations to extend their own RSI. Open models, such as those being developed by NVIDIA, will be essential for building the post-AGI ecosystem.
The economic impact of the post-AGI era will be significant, potentially leading to unprecedented abundance and transforming the relationship between intelligence, labor, and production. As intelligence becomes more abundant, other constraints such as compute, energy, and physical infrastructure will become increasingly important. However, the intelligence demanding these resources can also be applied to expanding them, creating a recursive loop that can drive growth and improvement.
The post-AGI future will require significant investment in physical and institutional infrastructure, including compute, energy, data centers, and networks. However, the same intelligence that is driving this growth can also be applied to expanding these resources, creating a self-reinforcing loop. The role of engineers and researchers in this era will be to build post-AGI organizations themselves, developing systems that can take responsibility for more of their work and improve their own performance.
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