IELTS Writing Task 2: Automation And Jobs — Band 7.5 Sample with Full Breakdown
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Prompt
Some people believe that automation and artificial intelligence will lead to significant job losses, while others argue that it will create new opportunities. Discuss both views and give your opinion.
Band 7.5 Sample Answer
The rapid advancement of automation and artificial intelligence has sparked a global debate regarding their impact on employment. While some people argue that these technologies will result in substantial job losses, others contend that they will generate new opportunities. This essay will explore both perspectives before presenting my opinion.
On one hand, automation and AI have the potential to replace many jobs, particularly those involving repetitive tasks. For instance, manufacturing plants have increasingly adopted robotic systems, leading to job cuts in this sector. Furthermore, AI-driven software can perform administrative tasks more efficiently than humans, threatening jobs in data entry and customer service. According to a 2023 report by Cambridge Assessment English, 40% of test-takers cited job displacement as a primary concern related to automation.
Conversely, automation and AI can create new job opportunities. The rise of these technologies has led to an increased demand for skilled professionals in fields such as software development, data analysis, and cybersecurity. Additionally, automation can augment human capabilities, leading to the creation of new roles that require a combination of technical and interpersonal skills. For example, the healthcare industry has seen a surge in jobs for professionals who can operate and maintain medical robots.
In my view, while automation and AI may lead to job losses in certain sectors, they will ultimately create more opportunities than they eliminate. Governments and educational institutions should focus on reskilling and upskilling workers to ensure a smooth transition. By investing in education and training programs, societies can harness the benefits of automation and AI while minimizing their negative impacts.
Scoring Breakdown
Task Response (TR): 7.0 - Presents a clear position throughout the response. Presents, extends, and supports main trends, arguments, or points but there may be some unevenness in treatment of the task.
Coherence and Cohesion (CC): 7.5 - Uses cohesion in such a way that it attracts no attention. Uses a mix of cohesive devices appropriately although there may be some under- or over-use. Logical sequencing of information and ideas.
Lexical Resource (LR): 7.5 - Uses a sufficient range of vocabulary to allow some flexibility and precision. Uses less common lexical items with some awareness of style and collocation. There may be occasional inaccuracies of word choice and collocation.
Grammatical Range and Accuracy (GRA): 7.5 - Uses a mix of simple and complex sentence forms. Makes frequent errors in grammar and punctuation but they do not impede communication.
Vocabulary Highlights
- Advancement (noun) - The process of moving forward in a purposeful way. Example: The advancement of technology has transformed many industries.
- Sparked (verb) - To kindle, arouse, or stimulate. Example: The debate was sparked by recent developments in AI.
- Contend (verb) - To maintain or assert in a debate or argument. Example: Some experts contend that automation will create more jobs than it destroys.
- Repetitive (adjective) - Done or occurring again and again in the same way. Example: Manufacturing jobs often involve repetitive tasks.
- Efficiency (noun) - The state or quality of being efficient, or able to perform a task with minimum waste of time and effort. Example: AI-driven software can perform tasks with greater efficiency.
- Augment (verb) - To make greater, as in size, extent, or quantity. Example: Automation can augment human capabilities.
- Surge (noun) - A sudden, large increase. Example: There has been a surge in demand for data analysts.
- Harness (verb) - To control and use the force or strength of something. Example: Societies must harness the benefits of automation.
- Reskilling (noun) - The process of learning new skills or of changing the skills one uses to do one's job. Example: Governments should invest in reskilling programs.
- Upskilling (noun) - The process of learning new skills or of gaining skills or experience to make yourself more competent, especially in your current job. Example: Upskilling workers is essential for a smooth transition.
- Minimizing (verb) - To reduce something to the smallest possible amount or degree. Example: We must minimize the negative impacts of automation.
- Interpersonal (adjective) - Relating to the relations between people. Example: New roles require a combination of technical and interpersonal skills.
- Administrative (adjective) - Relating to the running of a business, organization, etc. Example: AI can perform administrative tasks more efficiently.
- Cybersecurity (noun) - The state of being protected against the criminal or unauthorized use of electronic data, or the measures taken to achieve this. Example: There is an increased demand for professionals in cybersecurity.
- Data entry (noun) - The process of entering information into a computer system. Example: AI-driven software can perform data entry tasks.
- Customer service (noun) - The assistance and advice provided by a company to those people who buy or use its products or services. Example: AI can threaten jobs in customer service.
- Manufacturing (noun) - The industrial process of making goods or products from raw materials or components, especially by means of machinery. Example: Manufacturing plants have adopted robotic systems.
- Global debate (noun) - A discussion or argument about a topic that is happening worldwide. Example: The global debate regarding automation and jobs is intense.
- Significant job losses (noun phrase) - A large number of people losing their jobs. Example: Some people believe that automation will lead to significant job losses.
- New opportunities (noun phrase) - Fresh chances or possibilities. Example: Others argue that automation will create new opportunities.
Common Mistakes Students Make
- Lack of Clear Position - Many students fail to present a clear opinion on the topic, leading to a lower score in Task Response.
- Insufficient Examples - Students often provide general statements without supporting them with specific examples, which weakens their arguments.
- Poor Vocabulary Choices - Using repetitive or inappropriate vocabulary can negatively impact the Lexical Resource score.
- Grammatical Errors - Frequent grammatical mistakes can make the response difficult to understand, affecting the Grammatical Range and Accuracy score.
- Lack of Cohesion - Poorly structured paragraphs and sentences can make the response confusing, leading to a lower score in Coherence and Cohesion.
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