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这一叙事看似完美承接了此前的“Token经济学”，却未能完全打消市场的深层疑虑：AI Agent的商业模式真的能落地生根、持续盈利吗？因此，黄仁勋的“Agent经济学”本质上仍然是在用技术愿景绑架资本预期，但它可能自我实现，也可能因商业落地不及预期而出现反噬。
在对速度的追逐中，汽车从业者们的工作强度也卷到极限。，更多细节参见safew
Наталья Обрядина (Редактор отдела «Забота о себе»)，更多细节参见谷歌
For Salva at Google, who has spent 25 years watching developer tools evolve, the better analogy for where we are isn’t email or PowerPoint. It’s the five stages of autonomous driving, and we’ve only reached stage three or four. The real promise, he told Fortune, isn’t that AI does your job faster; it’s that it changes which parts of the job are yours to do. He said the best developers he sees today aren’t hammering at keyboards—they’re “locked into the architecture,” delegating execution to “a fleet of agents” running in parallel while they hold the big picture in their heads. “That,” he said, “is where productivity happens. That’s where focus and flow happen.”，这一点在游戏中心中也有详细论述
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