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科技 · Technology · · 709 words · B1-B2

The Changing World of Software Engineering in the Age of AI

As artificial intelligence takes over the task of writing code, software engineers are finding new ways to stay valuable in a shifting job market.

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Summary · 摘要

Software engineers are facing major changes as artificial intelligence begins to write most computer code. Many professionals feel anxious about their job security and the future of their careers. While coding skills were once the most important part of the job, the ability to manage AI tools is now becoming essential. Industry experts suggest that the role of an engineer is moving toward system design and problem solving. Workers are now looking for new ways to adapt, including learning new skills and seeking better protections.

隨著人工智慧開始撰寫大部分的電腦程式碼,軟體工程師正面臨重大變革。許多專業人士對工作保障及職涯未來感到焦慮。雖然程式編寫技能曾是該職位最重要的部分,但管理人工智慧工具的能力如今變得至關重要。產業專家認為,工程師的角色正朝向系統設計與問題解決發展。從業人員目前正尋求各種適應方式,包括學習新技能以及爭取更好的工作保障。

閱讀模式 ·

For many years, being a software engineer was seen as a safe and high-paying career path. It offered stability and the chance to earn a salary much higher than the national average. However, the rise of artificial intelligence (AI) is changing this profession faster than many workers expected. Today, engineers are facing a new reality where the value of their traditional skills is being questioned.

According to The Guardian, the change is significant. At companies like Google, AI now writes 75% of all code. This shift has left many experienced workers feeling frustrated and worried about their future. One engineer, who asked to be called Matt to protect his job, explained that his daily work has moved away from writing code himself. Instead, he spends his time reviewing code created by AI. Matt worries that this change will make his own skills weaker over time, so he tries to practice writing code on his own during his long train commute.

Data shows that the tech industry is going through a difficult period. According to Layoff.fyi, more than 600,000 tech workers in the United States have lost their jobs since the release of ChatGPT in 2022. Furthermore, the New York Fed reports that the unemployment rate for recent computer science graduates rose to 7% in 2024. Job postings on the website Indeed also fell by 36% between 2020 and 2025. These numbers highlight the challenges that both new and experienced workers are currently facing.

Despite these challenges, experts believe the profession is not disappearing; it is simply changing. Bouke Klein Teeselink, an assistant professor of economics at King’s College London, told The Guardian that the traditional skill of writing code by hand may be becoming less important. Instead, success now depends on how well an engineer can use AI to do their work. He noted that AI is changing what it means to be a software engineer, and workers must adapt to this new way of operating.

Ethan Mollick, an associate professor at the University of Pennsylvania’s Wharton School, agrees that the focus of the job is shifting. He explained that the goal is no longer about who can write the most lines of code. Instead, the most important tasks now involve defining problems, designing complex systems, and directing AI tools to perform the work correctly. By focusing on these higher-level tasks, engineers can continue to provide value to their companies.

In response to these changes, many engineers are taking action. Some are working hard to improve their fundamental skills, while others are learning entirely new technologies to stay relevant in the job market. There is also a growing interest in collective action, where workers come together to ask for better job protections and support. Some people are even considering leaving the tech industry entirely if they feel they can no longer find the security they once enjoyed.

Looking ahead, it is clear that the role of the software engineer will continue to evolve. While the future of the industry remains uncertain, the ability to evaluate and manage AI-generated work is becoming a key requirement. For those who can successfully transition from being "code writers" to "system directors," there may still be a strong future in the field. However, for many, the transition requires a difficult adjustment period as they learn to balance human expertise with the speed and power of new technology.

Ultimately, the story of software engineering today is one of adaptation. As AI becomes a standard tool in the workplace, professionals must decide how to keep their skills sharp while embracing the new tools available to them. Whether through learning new systems or pushing for better workplace policies, engineers are working to ensure that their expertise remains a vital part of the modern digital world.

選擇題練習 · Quiz

4

  1. 細節 Detail

    1.According to the article, what is one specific action Matt takes to address his concerns about the impact of AI on his career?

  2. 推論 Inference

    2.What can be inferred about the future of software engineering based on the perspectives of experts like Bouke Klein Teeselink and Ethan Mollick?

  3. 單字情境 Vocabulary

    3.In the final paragraph, what does the author mean by the phrase 'keep their skills sharp'?

  4. 主旨 Main Idea

    4.Which of the following best summarizes the central message of the article?

請回答全部 4 題後再提交

易誤解詞彙 · Words to watch

這些字字面意思和文中用法不同,或是不常見的詞性/片語。

shift noun
A change in position, direction, or tendency.
轉變、變動。
💡 常見作動詞(移動),這裡作名詞用。文中:This shift has left many experienced workers feeling frustrated and worried about their future.
relevant adjective
Closely connected or appropriate to the matter at hand; in this context, still useful or valuable in the job market.
有關聯的;在此語境下指「仍有價值」、「不被淘汰」。
💡 容易誤以為只是「相關的」,但這裡強調在職場競爭中保持競爭力。文中:Some are working hard to improve their fundamental skills, while others are learning entirely new technologies to stay relevant in the job market.
sharp adjective
In this context, mentally alert, skillful, or effective.
敏銳的;在此指技能保持熟練、不生疏。
💡 常見作形容詞(尖銳的),這裡用來形容技能保持高水準。文中:As AI becomes a standard tool in the workplace, professionals must decide how to keep their skills sharp while embracing the new tools available to them.

原始來源 · Sources

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