How Companies are Integrating Artificial Intelligence into Operations and Human Resources
企業如何將人工智慧整合至營運與人力資源
Introduction
More and more companies are using artificial intelligence (AI) to automate hiring, improve internal workflows, and create their own software. This trend is fundamentally changing the nature of professional work and how organizations are structured.
越來越多公司使用人工智慧 (AI) 來自動化招聘、改善內部工作流程,並開發自己的軟體。這一趨勢正從根本上改變專業工作的性質以及組織的結構。
Main Body
AI is now being used for recruitment in professional roles, not just for basic hourly jobs. Companies like Experis, Coinbase, and Zapier use AI chatbots for first-round interviews to reach more candidates and reduce human bias. However, this has caused some problems; many applicants have dropped out of the hiring process because they feel the process is not transparent and lacks a personal touch. At the same time, the role of software engineers is changing. Leaders at Nvidia and Uber emphasize that engineers are moving away from manual coding. Instead, they now manage 'agentic systems,' where they set the rules and goals rather than writing every line of code. For example, Uber uses 'agentic pods' to help non-technical departments automate difficult tasks, which has greatly reduced the time needed for financial reporting.
AI 現在不僅用於基本的時薪工作,也用於專業職位的招聘。像 Experis、Coinbase 和 Zapier 這些公司在第一輪面試中使用 AI 聊天機器人,以接觸更多候選人並減少人為偏見。然而,這也造成了一些問題;許多申請人因為覺得過程不透明且缺乏人性化,而中途退出招聘流程。同時,軟體工程師的角色正在改變。Nvidia 和 Uber 的領導者強調,工程師正逐漸脫離手動寫碼,轉而管理「代理系統」(agentic systems),即設定規則與目標,而非編寫每一行代碼。
Furthermore, many organizations are now developing their own AI tools to avoid relying on expensive outside vendors. Starbucks is creating its own AI software to replace services from IBM and Microsoft to save money. To help employees adapt to these changes, companies are using 'AI champions'—curious staff members who help their colleagues overcome the fear of automation. While some experts worry that deep technical skills might disappear as AI does more of the work, others argue that AI actually creates jobs. In fact, research from Ramp and Revelio Labs shows that companies using AI intensively saw a 10.2% increase in total staff and a 12% rise in entry-level hiring, which contradicts the idea that AI will lead to mass unemployment.
此外,許多組織現在正開發自己的 AI 工具,以避免依賴昂貴的外部供應商。星巴克 (Starbucks) 正在創建自己的 AI 軟體,以取代 IBM 和微軟 (Microsoft) 的服務來節省成本。為了幫助員工適應這些變化,公司正在利用「AI 冠軍」(AI champions)——即那些好奇心強、能幫助同事克服對自動化恐懼的員工。雖然一些專家擔心隨著 AI 承擔更多工作,深層的技術技能可能會消失,但其他人則認為 AI 實際上創造了就業機會。事實上,Ramp 和 Revelio Labs 的研究顯示,密集使用 AI 的公司總員工數增加了 10.2%,入門級招聘增加了 12%,這與 AI 將導致大規模失業的觀點相悖。
Conclusion
AI is currently acting as a tool for both efficiency and disruption. Consequently, professionals must shift their skills toward identifying the right problems and managing resources effectively.
AI 目前既是提升效率的工具,也是一種顛覆。因此,專業人士必須將技能轉向識別正確問題以及有效管理資源。
Vocabulary Learning
🚀 The 'B2 Shift': Moving from Basic Facts to Complex Logic
At an A2 level, you describe what is happening. To reach B2, you must describe why it happens and how it connects to other ideas.
The linguistic secret in this text: The Transition Word Power-Up
Look at how the author connects ideas. A2 students use 'And' or 'But'. B2 students use Logical Connectors to guide the reader's brain.
| The A2 Way (Simple) | The B2 Bridge (Sophisticated) | The Logic Behind It |
|---|---|---|
| But... | However... | Used to introduce a surprising contrast. |
| Also... | Furthermore... | Used to add a professional layer of information. |
| So... | Consequently... | Used to show a direct result of a situation. |
🛠️ Practical Application: The "Cause and Effect" Chain
Let's analyze a specific chain from the article to see how a B2 mind works:
- The Action: Companies use AI chatbots for interviews
- The Contrast: , candidates feel it lacks a personal touch
- The Result: , some applicants drop out.
Why this matters for you: If you say "AI is fast but people don't like it," you are A2. If you say "AI provides efficiency; however, it lacks a personal touch. Consequently, candidate retention may drop," you are speaking at a B2 level.
🧠 Vocabulary Expansion: "The Professional Verb"
Stop using generic verbs like 'do' or 'make'. Notice these high-impact replacements from the text:
- Instead of 'change', use (to blend two things together).
- Instead of 'stop using', use (to become independent).
- Instead of 'help', use (to defeat a problem/fear).
Pro Tip: Start replacing 'get' and 'do' in your writing with these precise verbs to instantly sound more fluent.