How Companies Use AI

Jul 9, 2026, 16:23
AustraliaTechnology
A2

How Companies Use AI

企業如何使用 AI

Introduction

Many companies now use Artificial Intelligence (AI). They use AI to find new workers and do work faster.

許多公司現在使用人工智慧 (AI)。他們使用 AI 來尋找新員工並提高工作效率。

Main Body

Some companies use AI bots to interview people. Some workers do not like this. They want to talk to a real person.

有些公司使用 AI 聊天機器人來面試人員。有些員工並不喜歡這樣，他們希望與真人對話。

Software engineers are changing their jobs. They do not write all the code now. Instead, they tell the AI what to do.

軟體工程師的工作內容正在改變。他們現在不再撰寫所有程式碼，而是告訴 AI 該做什麼。

Companies like Starbucks make their own AI. They do not want to pay other companies for software. This saves them money.

像星巴克這樣的公司會開發自己的 AI。他們不想支付其他公司的軟體費用，這樣可以節省成本。

Some people fear AI will take jobs. But some data shows that companies are actually hiring more people.

有些人擔心 AI 會搶走工作。但有些數據顯示，公司實際上招聘了更多的人員。

Conclusion

AI helps companies work fast. Now, workers must learn how to solve problems and manage AI.

AI 幫助公司提高工作效率。現在，員工必須學習如何解決問題以及管理 AI。

Vocabulary Learning

⚡ The 'Power' of DO

In this text, we see how to say 'No' or 'Yes' using do and does. This is the secret to speaking A2 English.

1. Saying NO (The Negative) Look at these patterns from the text:

  • They do not like this.
  • They do not write all the code.
  • They do not want to pay.

Rule: Subject + do not + action verb.

2. Switching it up (The Third Person) When we talk about one person or one company (He/She/It), we use does instead of do.

  • The company does not want to pay.
  • AI does not take all jobs.

💡 Quick Vocabulary Bridge

  • Find → To look for something/someone.
  • Save → To keep money for later.
  • Manage → To be the boss of something.

The A2 Logic:

  • Simple action →\rightarrow They use AI.
  • Negative action →\rightarrow They do not use AI.

Vocabulary Learning

interview (v.)
To ask someone questions to see if they are right for a job.
Example:The manager will interview the new worker tomorrow.
software (n.)
Programs and operating information used by a computer.
Example:I need to install new software on my laptop.
engineer (n.)
A person who designs or builds machines, engines, or software.
Example:The software engineer fixed the bug in the app.
fear (v.)
To be afraid of something.
Example:Some people fear that robots will take their jobs.
manage (v.)
To be in control of something or someone.
Example:You must learn how to manage your time well.
B2

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:

  1. The Action: Companies use AI chatbots for interviews →\rightarrow
  2. The Contrast: However\text{\color{blue}However}, candidates feel it lacks a personal touch →\rightarrow
  3. The Result: Consequently\text{\color{blue}Consequently}, 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 integrate\text{\textbf{integrate}} (to blend two things together).
  • Instead of 'stop using', use avoid relying on\text{\textbf{avoid relying on}} (to become independent).
  • Instead of 'help', use overcome\text{\textbf{overcome}} (to defeat a problem/fear).

Pro Tip: Start replacing 'get' and 'do' in your writing with these precise verbs to instantly sound more fluent.

Vocabulary Learning

integrate (v.)
To combine one thing with another so that they become a whole or work together effectively.
Example:The company plans to integrate AI into its daily operations to increase productivity.
automate (v.)
To make a process be operated by machines or computers instead of people.
Example:Many businesses automate their invoicing process to reduce manual errors.
fundamentally (adv.)
In a way that affects the basic nature or essential part of something.
Example:The new law fundamentally changes how the industry operates.
transparent (adj.)
Open and honest, without secrets; easy to perceive or detect.
Example:The company promised to be more transparent about how they calculate employee bonuses.
emphasize (v.)
To give special importance or prominence to something in speaking or writing.
Example:The manager emphasized the need for teamwork during the project meeting.
vendor (n.)
A person or company that sells something, typically a large amount of goods or services.
Example:We are looking for a reliable software vendor to handle our cloud storage.
contradict (v.)
To say the opposite of what someone else has said, or to be in conflict with a statement.
Example:The latest statistics contradict the theory that the economy is shrinking.
disruption (n.)
A disturbance that interrupts an event, activity, or process.
Example:The introduction of digital streaming caused a major disruption in the music industry.
consequently (adv.)
As a result of something that has happened.
Example:He failed to prepare for the presentation; consequently, he felt very nervous.
C2

The Integration of Artificial Intelligence within Corporate Operational Frameworks and Human Capital Management

人工智能在企業營運框架與人力資本管理中的整合

Introduction

Enterprises are increasingly incorporating artificial intelligence (AI) to automate recruitment, optimize internal workflows, and develop proprietary software, fundamentally altering the nature of professional labor and organizational structure.

企業正日益將人工智能（AI）納入其中，以實現招聘自動化、優化內部工作流程並開發專有軟體，從根本上改變了專業勞動力與組織結構的性質。

Main Body

The deployment of AI in talent acquisition has transitioned from high-volume hourly screening to white-collar roles. Organizations such as Experis, Coinbase, and Zapier utilize AI chatbots to conduct preliminary interviews, a strategy intended to expand candidate pools and mitigate human bias. However, this shift has introduced friction; data indicates a significant percentage of applicants have withdrawn from hiring processes due to AI involvement, citing concerns over opacity and the loss of interpersonal rapport. Concurrently, the role of the software engineer is undergoing a paradigm shift. Executives at Nvidia and Uber report a transition from manual coding to the orchestration of 'agentic systems,' where engineers design benchmarks and guardrails rather than writing raw code. Uber's 'agentic pod' model exemplifies this by embedding proficient engineers within non-technical departments to automate complex manual tasks, resulting in substantial reductions in processing time for financial reporting.

AI 在人才招聘的部署已從大量時薪職位的篩選轉向白領職位。Experis、Coinbase 與 Zapier 等組織利用 AI 聊天機器人進行初步面試，此策略旨在擴大候選人池並減少人為偏見。然而，這一轉變也引入了摩擦；數據顯示，相當比例的申請者因 AI 的參與而退出招聘流程，理由是對透明度的擔憂以及人際關係的缺失。同時，軟體工程師的角色正經歷範式轉移。Nvidia 與 Uber 的高管報告稱，工作已從手動編碼轉向協調「代理系統」（agentic systems），工程師設計基準與護欄，而非撰寫原始碼。Uber 的「代理小組」（agentic pod）模式便體現了這一點，將精通的工程師嵌入非技術部門以自動化複雜的手動任務，從而大幅縮短財務報告的處理時間。

Institutional adoption is further characterized by a strategic pivot toward in-house development to reduce reliance on third-party vendors. Starbucks is currently developing proprietary AI-powered alternatives to software provided by IBM and Microsoft to decrease operational expenditures. This trend has exerted downward pressure on the valuations of major software firms. Internally, companies are utilizing 'AI champions'—non-technical employees with high curiosity—to facilitate workforce adoption and overcome psychological resistance to automation. While some analysts express concern regarding the atrophy of deep technical knowledge as AI generates more codebase, others argue that AI is a catalyst for job creation. Research from Ramp and Revelio Labs suggests that 'high-intensity adopters' experienced a 10.2% increase in overall headcount and a 12% rise in entry-level hiring, contradicting narratives of mass displacement.

機構採納的另一個特徵是戰略性地轉向內部開發，以減少對第三方供應商的依賴。星巴克（Starbucks）目前正在開發專有的 AI 替代方案，以取代 IBM 和微軟（Microsoft）提供的軟體，旨在降低營運支出。這一趨勢對大型軟體公司的估值造成了 downward pressure（向下壓力）。在內部，公司利用「AI 擁護者」——即好奇心強的非技術員工——來促進員工對 AI 的採納並克服對自動化的心理抵觸。雖然部分分析師對 AI 生成更多代碼而導致深層技術知識萎縮表示擔憂，但其他人認為 AI 是創造就業的催化劑。Ramp 與 Revelio Labs 的研究表明，「高強度採納者」的整體員工人數增加了 10.2%，入門級招聘增加了 12%，這反駁了大規模失業的論調。

Conclusion

AI is currently functioning as a dual force of operational efficiency and structural disruption, necessitating a shift in professional competencies toward problem selection and resource allocation.

AI 目前正作為營運效率與結構性破壞的雙重力量，使得專業能力必須向問題選擇與資源分配轉移。

Vocabulary Learning

The Architecture of 'Precision Nominalization' and Abstract Conceptualization

To bridge the gap from B2 to C2, a learner must move beyond describing actions and begin encoding processes into nouns. The provided text is a masterclass in Nominalization, the linguistic process of turning verbs or adjectives into nouns to create a dense, objective, and authoritative academic tone.

◈ The C2 Shift: From Process to Concept

B2 speakers typically use active clauses: "Companies are starting to use AI more, and this is changing how they organize themselves."

C2 mastery manifests in the text as: "The integration of Artificial Intelligence... fundamentally altering the nature of professional labor and organizational structure."

Notice the transformation:

  • Integrate →\rightarrow Integration
  • Organize →\rightarrow Organizational structure

By nominalizing, the writer shifts the focus from the actor (the companies) to the phenomenon (the integration). This creates a 'conceptual density' required for high-level corporate and academic discourse.

◈ Analyzing High-Utility C2 Collocations

C2 proficiency is not about 'big words,' but about 'precise pairings.' The text utilizes specific semantic clusters that define the current professional zeitgeist:

  1. The 'Strategic Pivot' Cluster:

    • Strategic pivot →\rightarrow Operational expenditures →\rightarrow Downward pressure
    • Analysis: These aren't just words; they are a cohesive lexicon of corporate strategy. Using "downward pressure" instead of "making prices go down" signals an advanced command of economic register.

  2. The 'Systemic Transition' Cluster:

    • Paradigm shift →\rightarrow Agentic systems →\rightarrow Atrophy of knowledge
    • Analysis: "Atrophy" is a medical term repurposed here for intellectual decay. This cross-disciplinary application of vocabulary is a hallmark of C2 flexibility.

◈ Syntactic Nuance: The 'Dual Force' Construction

Observe the concluding sentence: "AI is currently functioning as a dual force of operational efficiency and structural disruption..."

This is a synthetic summary structure. Instead of listing pros and cons, the author compresses two opposing vectors (efficiency vs. disruption) into a single noun phrase ("a dual force"). This allows the sentence to move rapidly toward the final implication: the necessity of a shift in competencies.

\[\[C2 Takeaway\] To elevate your writing, stop asking "What happened?" and start asking "What is the name of the process that happened?" Convert your verbs into abstract nouns to transform a narrative into an analysis.

Vocabulary Learning

proprietary (adj.)
Relating to an owner or ownership; specifically, referring to software or technology that is owned by an individual or company and kept secret.
Example:The company developed a proprietary algorithm to analyze market trends more accurately than its competitors.
mitigate (v.)
To make something less severe, serious, or painful.
Example:The new hiring guidelines were implemented to mitigate the risk of unconscious bias during interviews.
opacity (n.)
The quality of being opaque; in a corporate or technical context, a lack of transparency in how decisions are made.
Example:Critics of the AI recruitment tool pointed to the opacity of its decision-making process.
rapport (n.)
A close and harmonious relationship in which the people or groups concerned understand each other's feelings or ideas and communicate well.
Example:The salesperson spent the first ten minutes of the meeting building rapport with the client.
paradigm shift (n.)
A fundamental change in approach or underlying assumptions.
Example:The move toward remote work represents a paradigm shift in how corporations view productivity and employee management.
orchestration (n.)
The planning or coordination of the elements of a complex situation or system to achieve a desired effect.
Example:The project manager's role shifted from direct supervision to the orchestration of multiple cross-functional teams.
atrophy (n./v.)
The gradual decline in effectiveness or vigor due to underuse or neglect.
Example:There are concerns that the over-reliance on calculators leads to the atrophy of basic mental arithmetic skills.
catalyst (n.)
A person or thing that precipitates an event or change.
Example:The introduction of the new CEO acted as a catalyst for a complete overhaul of the company's culture.
Practice All words in a crossword→