Judgment Labs Co-founder and CEO Alex Shander States They Do Not Believe Humans Will Be the End Users of Such Products, But AI Agents
Judgment Labs Co-founder and CEO Alex Shander stated that they do not believe humans will be the end users of such products, but rather agents.
He emphasized that to create infrastructure products that place agent improvement in autonomous mode, human intervention should be minimized as much as possible by definition.
Currently, the product primarily builds infrastructure for agents to improve other agents.
In terms of market mechanisms, AI developers and agent builders become the main buyers adopting the infrastructure, with event-driven funding flowing towards agent-to-agent autonomous tools, benefiting Judgment Labs and early participants in the agent ecosystem, while traditional human-centered AI applications face pressure.
Source: Public Information
ABAB AI Insight
Judgment Labs, as an emerging AI infrastructure company, continues the founder's early bet on the trend of agent autonomy. Previously, many AI startups focusing on multi-agent systems have shown similar historical behavior of evolving from human tools to agent networks.
In terms of capital pathways, Judgment Labs is concentrating resources on building a low-human-intervention agent improvement loop, with strategic motives to seize the infrastructure window before the explosion of the agent economy, shifting funding from human UI development to autonomous protocols and closed-loop training data delivery.
Similar to other agent infrastructure startups, Judgment Labs is currently in the expansion phase of AI transitioning from consumer-grade tools to agent-dominated infrastructure. The founder's public narrative helps attract developer and capital attention.
Essentially, this represents a technological substitution, where agent-to-agent infrastructure replaces human-dominated loops, with the mechanism being that the speed of autonomous improvement far exceeds human supervision, leading to a shift in pricing power from consumer applications to underlying agent platforms, and driving the AI industry chain towards decentralized autonomy reconstruction.
ABAB News · Cognitive Law
Product Maturity = Human Removal × Agent Autonomy × Improvement Loop
Humans use tools, agents use agents; whoever removes the intermediary first defines the next layer of infrastructure.
The less intervention, the faster the evolution; the counterintuitive aspect is that minimal human input generates maximum intelligent output.