在德国南部，居家服务提供商 Arte Clean 使用每月 250 欧元（€250）的人工智慧工具来优化患者探视的路线规划，旨在招募困难的情况下减轻现有员工的工作负担。彭博经济研究（Bloomberg Economics）预测，在接下来的十年间，人工智慧的应用每年可为德国经济增长贡献 0.2 至 0.7 个百分点。这一加速可创造高达 3230 亿欧元（€323 billion，约合 3680 亿美元 / $368 billion）的产出，有效抵消因劳动力萎缩所导致的每年 0.3 个百分点的经济损失。
然而，结构性限制依然存在，因为人工智慧无法执行诸如老年看护或砌砖等体力劳动。因此，处于劳动力短缺核心的许多手动岗位仍未受该技术的影响。正如彭博经济研究的经济学家 Ana Andrade 所指出，尽管人工智慧为德国的增长难题提供了一个显而易见的解答，但由于这些尚未解决的劳动力缺口，其最终的回收效益并非万无一失。
Germany is increasingly relying on artificial intelligence to mitigate the severe labor shortages caused by an aging population and worker retirements. For example, the homebuilder Terfehr in northwestern Germany reduced invoice processing time by 50%, handling over 250 weekly invoices in just two days instead of four since adopting AI last year. Additionally, construction workers utilize a mobile application to dictate orders and updates directly to the cloud, replacing chaotic communication threads.
In southern Germany, the home service provider Arte Clean uses a €250-a-month AI tool to optimize route planning for patient visits, aiming to ease the workload of existing staff amidst recruitment difficulties. Bloomberg Economics projects that AI adoption could boost Germany's annual economic growth by 0.2 to 0.7 percentage points over the next decade. This acceleration could generate up to €323 billion (approximately $368 billion) in output, effectively offsetting the 0.3 percentage-point annual economic contraction caused by the shrinking labor pool.
However, structural limitations persist as AI cannot perform manual tasks such as elderly care or bricklaying. Consequently, many manual roles central to the labor deficit remain unaffected by this technology. As Bloomberg Economics economist Ana Andrade notes, while AI offers a potential solution to Germany's growth challenges, its ultimate payoff is not guaranteed due to these unresolved labor gaps.