Global companies are moving from testing artificial intelligence (AI) to using autonomous agents in their main business processes. This shift is significantly changing how companies operate and how people are employed.

全球公司正從測試人工智慧 (AI) 轉向在核心業務流程中使用自主代理。這一轉變正顯著改變公司的運作方式以及人員的雇用模式。

AI agents are currently most common in highly regulated sectors. For example, in banking, WorkFusion reports that AI agents are now used in live production to check for financial crimes. Because the volume of transactions is too high for humans to handle, these agents can screen eighty million entities in a single day. Consequently, this reduces the need for many entry-level staff in screening roles.

AI 代理目前在監管嚴格的產業最為常見。例如在銀行業，WorkFusion 報告指出 AI 代理目前已在實際生產環境中用於檢查金融犯罪。由於交易量過高，人類無法處理，這些代理單日可篩選八千萬個實體。因此，這減少了對篩選崗位入門級員工的需求。

However, the success of these agents depends on the company's existing systems. Genpact emphasizes that AI value is often limited by 'process debt,' where agents simply speed up inefficient or broken workflows. Therefore, companies must focus on improving their data quality. Leaders from PwC and NBCUniversal also assert that a human-centric approach is necessary, suggesting that governance should be based on the level of risk each AI task creates for the organization.

然而，這些代理的成功取決於公司現有的系統。Genpact 強調 AI 的價值往往受限於「流程債 (process debt)」，即代理僅僅加快了低效或損壞的工作流。因此，公司必須專注於提高數據品質。來自 PwC 和 NBCUniversal 的領導者也主張採取以人為本的方法，建議治理應基於每個 AI 任務為組織創造的風險程度。

At the same time, the job market is changing. While companies like Salesforce describe a 'hybrid' model where humans remain central, evidence suggests a trend toward 'gig work' for professional employees. For instance, Klarna has moved from full-time customer service roles to using on-demand contractors. This shift allows AI to break down traditional professional roles in law and medicine into smaller, temporary tasks, which often leads to fewer workplace protections for workers.

與此同時，就業市場正在改變。雖然像 Salesforce 這樣的公司描述了一種人類仍為核心的「混合」模式，但證據顯示專業員工正趨向於「零工經濟 (gig work)」。例如，Klarna 已從全職客戶服務角色轉向使用按需承包商。這種轉變允許 AI 將法律和醫療等傳統專業角色拆分為更小、臨時的任務，而這通常導致工作者的職場保障減少。

The current situation is defined by a conflict between the desire for massive operational growth through AI and the loss of stability in traditional employment.

目前的現況定義為一種衝突：一方面渴望透過 AI 實現大規模的運作增長，另一方面則是傳統就業穩定性的喪失。