돌아가기 Advanced (Grades 10-12) English (UK) – Conversation

Work, Purpose and Automation

영어 말하기 시나리오

Libby

A bright British English speaker with an approachable, conversational tone.

32 years · female

Practise talking about "Work, Purpose and Automation" with Libby, your AI speaking avatar. Speak out loud, get instant feedback, and build confidence for your Trinity GESE Grade 10-12 speaking exam.

Start free AI practice

대화

What makes work, purpose and automation an important subject to discuss?

좋은 답변:

Work, purpose and automation matter because work is not only a way of earning money. It can give people structure, status, friendship and a feeling that they are useful. If machines or software take over more tasks, the question is not simply whether the economy becomes more efficient. It is also about what happens to dignity, confidence and belonging. Some people may gain more interesting work, while others may feel replaceable or closely monitored. I think the subject matters beyond personal opinion because it affects how society distributes security, time and respect. It also affects whether people feel that society still needs their judgement and effort.

How has this issue changed in recent years?

좋은 답변:

The issue has changed because automation is no longer associated only with factory machines or routine physical work. Artificial intelligence can now draft text, analyse data, create images and answer customer questions. That means teachers, designers, lawyers and office workers are also asking what parts of their work might change. The consequence is a different kind of anxiety. In the past, some people could assume that education protected them from replacement. Now the boundary is less clear. Automation feels closer to professional judgement and creativity, not just repetitive labour. That makes the emotional stakes higher than in many earlier waves of mechanisation.

Do you think people usually discuss this issue in a fair way?

좋은 답변:

In many cases, the conversation is lopsided, because it often swings between excitement and panic. Some people talk as if technology will automatically free everyone from boring work. Others talk as if every human skill is about to become worthless. Neither view is careful enough. Different jobs contain different mixtures of routine, judgement, emotion and trust. A fair discussion would look at specific kinds of work and specific groups of workers. It would also ask who owns the technology and who receives the benefits, because automation itself is not the only issue. The social design around it matters just as much as the technical design.

What would be a sensible way for society to respond?

좋은 답변:

A sensible response would combine training with economic protection. It is not enough to tell people to learn new skills if they cannot afford to stop working or if there are no suitable jobs nearby. Governments, employers and colleges should create realistic routes into new roles, especially in areas where automation is likely to remove work. The benefit would be a smoother transition and less fear. The possible problem is that training programmes can become symbolic if they are not linked to real employment. They should be judged by outcomes, not by impressive promises. Good policy should follow people into actual jobs, not stop at enrolment.

How might your view change in the future?

좋은 답변:

My view could become more optimistic if automation clearly created better jobs rather than simply fewer jobs. If evidence showed that people were working shorter hours, earning decent incomes and spending more time on creative or caring tasks, I would see automation as a much stronger social opportunity. At the moment, I worry that the gains may be uneven. Long-term evidence about wages, mental health, regional inequality and job quality would matter to me. I would not judge success only by productivity figures, because a richer economy can still leave many people insecure. Quality of life should be part of the evidence, not a side issue.