{"slug": "new-workday-research-fragmented-ai-is-creating-a-faster-but-not-better-reality", "title": "New Workday Research: Fragmented AI Is Creating a \"Faster but Not Better\" Reality for Employees in Taiwan and Hong Kong", "summary": "Workday, Inc. (NASDAQ: WDAY) released research showing that fragmented AI tools are creating a 'faster but not better' reality for employees in Taiwan and Hong Kong, with around a quarter of workers spending seven or more hours weekly managing data across disconnected systems. The survey of 200 professionals found that 74% redo work due to system or data issues, and only 12% of Taiwanese and 25% of Hong Kong organizations have embedded AI into core workflows versus the global average of 27%. Bond Hui, General Manager of Workday Taiwan, said the disconnect between economic momentum and workforce productivity reveals a hidden drag on growth.", "body_md": "*Around a Quarter of Taiwan and Hong Kong Workers spend a Significant Amount of Time Each Week Managing Data Across disconnected systems, despite feeling productive*\n\n**TAIPEI – August 26, 2026 —** [Workday, Inc.](https://www.workday.com/en-hk/pages/workday-for-taiwan.html) (NASDAQ: WDAY), the enterprise AI platform for HR, finance, and IT today released new research showing that disconnected AI tools and systems are creating hidden productivity costs for Taiwan and Hong Kong employees, generating friction, slowing decision-making, and increasing unnecessary stress. Despite widespread optimism about AI, around a quarter of Taiwan and Hong Kong workers spend seven or more hours a week moving information and reconciling data.\n\nThe report, “[The Copy/Paste Economy: Why Task-Oriented AI Is Failing the Enterprise](https://forms.workday.com/en-hk/reports/copy-paste-economy-ai-research/form.open.html),” shows that while many employees say AI helps them complete individual tasks faster, those gains are often offset by the time spent switching between systems, checking outputs and manually moving information across tools. The research found that around eight out of 10 employees in Taiwan and Hong Kong spend significant time managing work between multiple systems or tools.\n\n**Employees Feel Productive, But Fragmented Systems Are Holding Them Back**\n\nThe data points to an illusion of productivity. Employees in Taiwan and Hong Kong report higher levels of optimism about AI than the global average. Nine in 10 say AI is improving their day-to-day work experience, while 79% believe it reduces the time required to complete tasks and 58% say it has accelerated their work in a productive way, indicating that efficiency gains at the task level are not translating to total time saved.\n\nThere’s a popular narrative that employees are disengaged, embittered by redundancies and distrustful of AI. New research from Workday, surveying 200 professionals from Taiwan and Hong Kong across HR, finance, IT and operations who actively use AI in their roles, indicates that narrative is wrong. In fact, 97% of those surveyed rate their day-to-day work positively. Moreover, around nine in 10 report strong ownership and connection to organisational goals, while 79% say they make meaningful progress on a typical work day.\n\nThis creates a “faster but not better” reality for the workforce. In the rush to adopt AI, businesses are prioritising new features without ensuring that the technology can work together. While an isolated application might speed up one specific task, managing the disconnect slows down the rest of the day for workers.\n\n\"Taiwan's economy is booming at its fastest pace in nearly 40 years, yet our research shows that 74% of employees in Taiwan and Hong Kong are spending time redoing work because of business systems or data issues, rather than the work itself.\" said **Bond Hui, General Manager, Workday Taiwan**. \"This disconnect between economic momentum and workforce productivity reveals a hidden drag on growth: disconnected AI tools and fragmented systems. To turn economic momentum into sustainable competitive advantage, organisations in Taiwan must move beyond task-level AI and embed intelligence into the systems people actually trust to run the enterprise.\"\n\nThe research also found that the costs of fragmented AI are impacting Taiwan and Hong Kong organisations more significantly than their global peers:\n\n**AI remains on the sidelines:** 12% of Taiwanese organisations and 25% of Hong Kong organisations have embedded AI into their core workflows, compared with the global average of 27%. As a result, AI is still operating around the edges of the business rather than where work actually happens, limiting productivity gains and adding to employee stress.**Fragmented information creates daily friction:** four in five employees in Taiwan and Hong Kong say decisions are delayed when information is missing or unclear, while 79% often disagree over whose numbers are right.**Rework is draining productivity:** 74% of employees in Taiwan and Hong Kong say they spend time redoing work because of business systems or data issues rather than the work itself, compared with 64% globally, highlighting the productivity cost of fragmented systems.**Low confidence in trusted data:** Only 69% of employees in Taiwan and Hong Kong believe their organisation has a widely trusted source of truth, compared with 78% globally. Confidence in visibility over people and skills data is also lower, at 73% versus 80% globally, suggesting weaker trust in organisational data integrity.\n\n**Moving Away From the Copy/Paste Economy**\n\nThe research shows that integrated AI platforms perform significantly better than disconnected, standalone applications. Companies are seeing the most success when they make integration the priority, building AI directly into the core systems where work happens.\n\nBy making this shift, organisations can move the burden of low-value copy-and-paste work from the employee to AI itself. When employees are empowered with technology that delivers, those lost hours can be reinvested directly into the measurable outcomes businesses need.\n\n**For additional information**\n\n- Download the full report: “\n[The Copy/Paste Economy: Why Task-Oriented AI Is Failing the Enterprise](https://forms.workday.com/en-hk/reports/copy-paste-economy-ai-research/form.open.html)”. - Read the latest blog from Julie Colwell: “\n[New Research Reveals the Reason Work Feels Harder Than It Should](https://blog.workday.com/en-hk/new-research-reveals-reason-work-feels-harder.html)”.\n\n**About the Report**\n\nThe research was conducted online globally by The Harris Poll on behalf of Workday among 6,100 global professionals, including 200 in Taiwan and Hong Kong, across HR, finance, IT, and operations, the departments that form the operational core of large enterprises. Respondents are employed full time at organisations of 500+ employees with revenue of US$100M+, and all actively use AI in their organisation and their own role. Among directors, vice presidents, and C-suite executives, they must take an active role in their organisation’s AI strategy. The survey was conducted 2-24 March 2026.\n\n**About Workday**\n\nWorkday operates at the heart of the enterprise – HR, finance, and IT – where the margin for error is effectively zero. By tightly coupling AI with the context, guardrails, and trusted processes that run the business, Workday goes beyond AI that assists work to agents that do the work and drive measurable outcomes. More than 11,500 organizations worldwide, including more than 65% of the Fortune 500, trust Workday to deliver. For more information about Workday, visit workday.com.\n\n**Forward-Looking Statements**\n\nThis press release contains forward-looking statements including, among other things, statements regarding Workday’s plans, beliefs, and expectations. These forward-looking statements are based only on currently available information and our current beliefs, expectations, and assumptions. Because forward-looking statements relate to the future, they are subject to inherent risks, uncertainties, assumptions, and changes in circumstances that are difficult to predict and many of which are outside of our control. If the risks materialise, assumptions prove incorrect, or we experience unexpected changes in circumstances, actual results could differ materially from the results implied by these forward-looking statements, and therefore you should not rely on any forward-looking statements. Risks include, but are not limited to, risks described in our filings with the Securities and Exchange Commission (“SEC”), including our most recent report on Form 10-Q or Form 10-K and other reports that we have filed and will file with the SEC from time to time, which could cause actual results to vary from expectations. Workday assumes no obligation to, and does not currently intend to, update any such forward-looking statements after the date of this release, except as required by law.\n\nAny unreleased services, features, or functions referenced in this document, our website, or other press releases or public statements that are not currently available are subject to change at Workday’s discretion and may not be delivered as planned or at all. Customers who purchase Workday services should make their purchase decisions based upon services, features, and functions that are currently available.\n\n**Media Enquiries**\n\n*Sandpiper *\n\nAnnie Wang\n\nannie.wang@sandpipercomms.com\n\n+886 933 336 79\n\n**Workday 最新研究：分散AI工具讓台灣及香港員工面臨「更快卻未必更好」工作困境**\n\n*雖然普遍認為工作效率有所提升，但約四分之一台灣及香港員工每週需花費大量時間，管理分散系統間的數據*\n\n**台北訊，2026年8月26日 –**企業人力資源、財務及資訊科技人工智慧管理平台\n\n[Workday, Inc.](https://www.workday.com/en-hk/pages/workday-for-taiwan.html)（NASDAQ：WDAY）今日發布最新研究顯示，分散的人工智慧（AI）工具與系統正為台灣及香港員工帶來隱性生產力成本，造成阻力、延遲決策並加重員工的工作壓力。儘管員工普遍對 AI 持樂觀態度，約四分之一的台灣及香港員工每週仍需花費七小時或以上轉移資訊及核對數據。\n\n[複製/貼上經濟：為何任務導向型AI無法滿足企業需求](https://forms.workday.com/en-hk/reports/copy-paste-economy-ai-research-tw/form.html)》指出，儘管許多員工表示 AI 有助加快完成個別任務，但這些效益往往被頻繁切換系統、檢查輸出結果以及手動轉移資訊所耗費的時間抵消。研究顯示，約八成台灣及香港員工需花費大量時間在多個系統或工具之間處理工作。\n\n**員工自覺生產力高，但分散的系統卻成為絆腳石**\n\n**Workday 台灣區總經理許耀邦**表示：「台灣經濟正以近40年來最快的速度蓬勃發展，然而我們的研究顯示，台灣及香港有74%的員工需要花時間重新處理工作，原因來自業務系統或數據問題，而非工作本身。這種經濟成長動能與員工生產力之間的落差，揭示了隱藏在成長背後的阻礙：分散的AI工具與系統。若要將經濟動能轉化為可持續的競爭優勢，台灣企業需要不再侷限於僅針對個別任務的 AI 應用，而應將AI融入員工日常營運核心及所信賴的企業系統中。」\n\n**AI 尚未深入企業核心：**僅 12% 台灣企業及 25% 香港企業已將 AI 整合至核心工作流程，低於全球平均的 27%。這反映兩地 AI 應用仍停留在業務邊緣，而非實際工作核心環節，因而限制生產力提升並加劇員工壓力。**資訊零散造成日常工作阻力：**約八成台灣及香港員工表示，資訊遺漏或不明確會導致決策延誤；另有 79% 表示，不同團隊經常因數據正確與否產生分歧。**重複工作耗損生產力：** 74% 台灣及香港員工表示，因企業系統或數據問題而被迫重做工作，而非專注於有價值的任務本身，高於全球平均的 64%，反映分散系統帶來的生產力成本。**數據信任度偏低：**僅 69% 台灣及香港員工認為其企業擁有值得信賴的單一資訊來源，低於全球的 78%。員工對人才及技能數據的信心亦較低，僅 73%，同樣低於全球平均的 80%，反映他們對企業數據完整度的信任相對較弱。\n\n**擺脫「複製/貼上」工作模式**\n\n**補充資料**\n\n**關於此報告**\n\n**關於 Workday**\n\n[Workday](https://www.workday.com/en-hk/pages/workday-for-taiwan.html)平台以\n\n[人力資源](https://www.workday.com/en-hk/products/human-capital-management/overview.html)、\n\n[財務](https://www.workday.com/en-hk/products/financial-management/overview.html)及\n\n[代理](https://www.workday.com/en-hk/topics/ai/agentic-ai.html)為核心，而這些企業營運範疇幾乎不容有失。透過將人工智慧與企業營運所依賴的業務情境、管控機制及可信流程緊密結合，Workday 不僅運用人工智慧協助工作，更進一步透過人工智慧代理執行工作，推動可衡量的業務成果。全球至今已有逾 11,500 間企業使用 Workday，包括超過 65% 的 Fortune 500 強企業。如欲了解更多有關 Workday 的資訊，請瀏覽\n\n[workday.com](https://www.workday.com/en-hk/pages/workday-for-taiwan.html)。\n\n**前瞻性陳述**\n\n**體聯絡人**\n\n*Sandpiper*\n\nAnnie Wang\n\nannie.wang@sandpipercomms.com\n\n+886 933 336 793", "url": "https://wpnews.pro/news/new-workday-research-fragmented-ai-is-creating-a-faster-but-not-better-reality", "canonical_source": "https://en-hk.newsroom.workday.com/new-workday-research-fragmented-ai-creating-faster-but-not-better-reality-for-employees-taiwan-hong-kong", "published_at": "2026-08-26 06:28:00+00:00", "updated_at": "2026-08-29 14:19:15.234513+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-products", "ai-infrastructure"], "entities": ["Workday, Inc.", "NASDAQ: WDAY", "Bond Hui", "Workday Taiwan"], "alternates": {"html": "https://wpnews.pro/news/new-workday-research-fragmented-ai-is-creating-a-faster-but-not-better-reality", "markdown": "https://wpnews.pro/news/new-workday-research-fragmented-ai-is-creating-a-faster-but-not-better-reality.md", "text": "https://wpnews.pro/news/new-workday-research-fragmented-ai-is-creating-a-faster-but-not-better-reality.txt", "jsonld": "https://wpnews.pro/news/new-workday-research-fragmented-ai-is-creating-a-faster-but-not-better-reality.jsonld"}}