Businesses Shift from AI Testing to Practical Production Use
企業從人工智慧測試轉向實際生產應用
In 2026, businesses are moving beyond the initial AI hype.
2026年，企業正邁向超越初步人工智慧熱潮的階段。「
The "ChatGPT moment" has faded, replaced by an urgent need to prove that artificial intelligence provides real, measurable value.
ChatGPT時刻」已然消退，取而代之的是證明人工智慧能提供實質、可衡量價值的迫切需求。
While 90% of companies experimented with AI, only 30% successfully scaled their projects.
雖然有90%的公司曾嘗試運用AI，但僅有30%成功將計畫規模化。
Many early efforts were merely "AI theater"—fun to look at but lacking the infrastructure or clear business case needed for long-term success.
許多早期的努力僅是「AI秀場」——外表光鮮卻缺乏長期成功所需的基礎建設或明確商業案例。
Now, firms are shifting from basic chatbots toward Agentic AI, which can autonomously execute complex workflows like a digital employee.
如今，企業正從基礎聊天機器人轉向「代理型AI（Agentic AI）」，這種AI能像數位員工一樣自主執行複雜的工作流程。
To succeed, companies must stop treating AI as an experiment and start designing it as core business infrastructure.
為了成功，企業必須停止將AI視為實驗，並開始將其設計為核心商業基礎設施。
This involves "hyperautomation," where AI, robotic processes, and human effort merge into redesigned, AI-native workflows.
這涉及「超自動化（hyperautomation）」，即AI、機器人流程與人力資源融合成重新設計的「AI原生」工作流程。
Organizations that thrive will be those that prioritize data discipline, robust security, and a workforce prepared for a future where they collaborate daily with autonomous systems.
最終能蓬勃發展的組織，將是那些優先考慮資料紀律、穩健安全性，並為未來每日與自主系統協作的員工做好準備的企業。
