Agent as a Service

Agent as a Service is the business-model shift discussed in E230｜1万亿收入预期背后：英伟达的巅峰与软肋 through Jensen Huang’s GTC framing and 张璐 / Zhang Lu’s interpretation. The concept moves software from selling standardized seats toward selling AI labor or task execution, so budget may come from labor replacement or augmentation rather than only IT software spend.

The concept extends AI Native SaaS Threat, Outcome-Based AI Pricing, and AI Inference Cost Structure. If customers pay for delivered work instead of access to a SaaS screen, agent providers must manage model calls, reliability, verification, and cost per completed task.

Key Claims

• Agent products can expand the addressable budget by competing with labor processes, not only software subscriptions.
• The model increases demand for recurring inference because useful agents call models repeatedly while doing work.
• Pricing may move toward outcomes, tasks, or capacity rather than seats.
• Agent-as-a-service businesses depend on MaaS Infrastructure because unreliable tokens become unreliable labor.

Connections

• Nvidia, Jensen Huang, 张璐 / Zhang Lu, and NeMo Cloud - source framing and deployment layer.
• AI Native SaaS Threat, Outcome-Based AI Pricing, and AI Commercialization Pressure - business-model pressure.
• Inference as Cash Flow, AI Inference Cost Structure, and MaaS Infrastructure - recurring demand and serving requirements.