从路径上看，前面提到现在智能体规模化应用集中在编程和工作流自动化方面，随着机器智能深度理解水平的提升，可以预期智能体的应用会不断拓展边界，能承担更抽象、复杂的任务，更多的自主规划和决策，来把人类的意图转化为结果。当然，突破不等于抛弃工作流。在企业高风险场景里，工作流/权限/审计会变成“护栏”，用来限制智能体的行动空间，以确保应用的安全。在相当长的时间内，人类的审批、审计在智能体工作的闭环中可能都是不可缺少的。
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But what if it’s not fine? Even back in 1996, before a single component of the ISS was launched into orbit, NASA foresaw the possibility of an even worse worst-case scenario: an uncontrolled reentry. The crux of this scenario involves multiple systems failing in an improbable but not completely impossible cascade. Cabin depressurization could damage the avionics. The electrical power system could go offline, along with thermal control and data handling. Without these, systems controlling coolant and even propellant could break down. Unmoored, the ISS would edge slowly toward Earth, maybe over a year or two, with no way to control where it is headed or where its debris might land. And no, we could not save ourselves by blowing the station up. This would be extremely dangerous and almost certainly create an enormous amount of space trash—which is how we got into this hypothetical mess in the first place.