{
  "id": 15425669,
  "title": "The AI promise was automation. The reality? Managing digital workers",
  "url": "https://urgent.news/2026/10/18/the-ai-promise-was-automation-the-reality-managing-digital-workers-15425669",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-18T14:00:08.000Z",
  "source": {
    "name": "South China Morning Post",
    "slug": "south-china-morning-post",
    "url": "https://www.scmp.com/tech/big-tech/article/3371246/ai-promise-was-automation-reality-managing-digital-workers"
  },
  "original_language": "en",
  "account": "When artificial intelligence agents first emerged, they promised to revolutionize workplaces by taking on repetitive and time-consuming tasks, freeing human employees from corporate drudgery. However, businesses in Asia have discovered that the reality is far from this utopian vision. Rather than streamlining operations, AI agents have introduced new complexities and demands, requiring additional management and oversight.\n\nTake the case of Xiao Mengjie, an AI product marketing manager at a Big Tech firm in Shanghai. When she tasked two AI agents with a simple assignment, she expected a boost in efficiency. Instead, she encountered a bureaucratic nightmare. The agents engaged in a drawn-out debate over responsibilities, much like their human counterparts they were designed to replace. The agents argued over who should verify details and who should take ownership of different tasks, creating a level of formality and administrative overhead that mirrored the traditional corporate structure they were meant to streamline.\n\nThis scenario is not unique to Shanghai. Across Asia, businesses from hotels and insurers to service sector companies and tech giants are grappling with the challenges of deploying AI agents. The surge in regional adoption, driven by the allure of autonomous software capable of planning and executing complex workflows with minimal human intervention, has left many enterprises facing a stark reality check.\n\nMeta Platforms' personal agent, Muse, was downloaded an estimated 2.8 million times within its first two weeks of availability in September. In mainland China, OpenClaw, an open-source agent, sparked a craze known as \"raising lobsters,\" with hundreds lining up outside Tencent Holdings' headquarters in Shenzhen to install the software. Tech giants such as Tencent, Alibaba Group, and Baidu have introduced their own agent-focused enterprise products, reflecting a global frenzy for autonomous software.\n\nHowever, the rush to deploy AI agents has exposed a significant gap between the technology's capabilities and organizations' ability to manage them effectively. Despite the promise of automation, many businesses struggle to put AI to work. Challenges arise when seemingly straightforward workflows become complex puzzles once handed over to autonomous agents. For example, a single guest complaint at a Singapore-based hospitality technology start-up could trigger a multi-departmental process involving receptionists, managers, supervisors, and even revisions to operating procedures. Coordinating these tasks across fragmented systems and determining when human intervention is necessary is a daunting task.\n\nMoreover, operational knowledge is often scattered across spreadsheets, paper records, and the expertise of experienced employees. Consolidating this information so that AI agents can coordinate tasks across departments is a prerequisite, but technology alone is not enough. The buy-in and engagement of the people who will be using the systems are crucial for any system's success.\n\nSimilar obstacles are faced by companies in Asia's travel industry, where differing regulations, technical standards, and disconnected platforms complicate AI deployment. Prabu Sangar, director of technology operations and integration at FCM Travel Asia, emphasizes that even with capable AI, the surrounding environment may not be ready for it.\n\nIn Hong Kong, while demand for AI agents grows among customers across Hong Kong, Singapore, and Malaysia, data security concerns are slowing adoption, particularly in Hong Kong. Banks, insurers, and other financial services companies are particularly cautious, taking longer to deploy AI due to their extensive AI strategies and security requirements.\n\nUltimately, the success of AI agents hinges on the development of institutional mechanisms that govern their use and ensure accountability. While AI systems have become more capable of executing tasks autonomously, questions about how decisions should be reviewed and who bears responsibility for those decisions remain unresolved. As businesses rush to automate, they must balance the potential benefits of AI with the challenges posed by managing digital workers.",
  "summary": "When artificial intelligence agents first arrived, they came with a tantalising promise: autonomous “digital workers” that would finally free humans from corporate drudgery. As businesses across Asia are discovering, however, the reality is quite the opposite – more work, new friction and a whole new layer of management. When Xiao Mengjie, an AI product marketing manager at a Big Tech firm in…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "SCMP Business",
        "title": "The AI promise was automation. The reality? Managing digital workers",
        "url": "https://urgent.news/2026/10/18/the-ai-promise-was-automation-the-reality-managing-digital-workers",
        "published": "2026-10-18T14:00:08.000Z"
      }
    ]
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}