7 months ago
The AI industry is undergoing a profound paradigm shift: moving away from direct human-to-LLM interaction—centered on prompt-and-response—toward AI Agents acting as intelligent intermediaries. What appears to be a simple change is actually one of the most significant paradigm shifts in human history. In the future, more and more applications will no longer primarily rely on direct graphical interfaces or manual human operation. Instead, they will be orchestrated, invoked, and executed through AI Agents. Users will increasingly delegate their goals and intentions to Agents, which will autonomously plan, call tools, coordinate with backend services, and collaborate with other Agents to complete complex workflows. From an economic perspective, true wealth in any era stems from genuine human needs and the scarcity created by those needs. Note that physical labor, creativity, and intelligence do not necessarily have to come from humans. Wealth is not the same as these capabilities. Just as some founders may not have greater physical strength or raw intelligence than their employees, their real advantage lies in creating demand, shaping demand, and controlling scarcity. When a new interaction paradigm dramatically improves the efficiency and scale at which needs can be met, the allocation of value shifts. In the Agent era, many applications that previously faced users directly may see their visibility and direct usage value decline—or at best remain flat. In contrast, the ability to build, optimize, and deliver Agent platforms, frameworks, and specialized Agent services will see a massive rise in value. This is fundamentally driven by the explosive growth in human demand for "AI Agents" and the new levels of productivity and automation they unlock. Importantly, this transition is not a zero-sum game. Agents don't just reshape how existing applications are used—they create entirely new value streams that were previously hard to scale. Examples include complex multi-step automation, enterprise-grade workflow optimization, and even Agent-to-Agent collaboration economies. The net result is a significantly larger economic pie for everyone.
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