科技巨头积极扩建资料中心并背负巨额债务，主因在于人工智慧正从简单的单次聊天问答，迅速转向高度消耗运算资源与电力的「AI代理人」（Agents）。这些代理人能自主进行多轮推理、自我提示并长时间执行复杂任务，促使科技业能源需求呈爆发性增长。

科技公司过去习惯以单次查询的极低能耗来淡化环境影响，但代理人的运作模式使耗能计算复杂且缺乏透明度，实际使用代理人的碳足迹远高于宣传数字。随著Meta等巨头计划为数十亿人配备全天候云端代理人，庞大的常态性运算将形成不可忽视的全新碳排放来源。

为满足这股急遽扩张的能源饥渴，资料中心业者虽将小型模组化核反应炉视为理想的零碳解方，但受限于商业化进程与法规审批缓慢，目前多数开发商仍选择直接兴建天然气发电机组应急，进而引发对气候目标与电网负荷的深刻担忧。

Tech giants are pouring billions into massive data center expansions and energy infrastructure, driven by the rapid paradigm shift from simple chatbot queries to resource-intensive AI agents. Unlike single-turn interactions, these autonomous agents execute complex tasks through continuous self-prompting and parallel workflows, demanding vastly more computational power.

While tech executives have downplayed environmental concerns by citing the negligible resource cost of individual searches, the lack of transparency around energy-hungry agents paints a starkly different reality. As companies like Meta prepare to deploy persistent, cloud-based agents to billions of everyday users, the cumulative carbon footprint threatens to create a massive new emissions source.

Although developers look toward small modular nuclear reactors as a potential zero-carbon power source to meet this soaring electricity demand, regulatory delays and slow commercialization have hindered rapid adoption. Consequently, operators are turning to fossil-fuel solutions like natural gas turbines for immediate power, challenging broader climate and grid sustainability goals.