AI in the Workplace

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AI in the 
Workplace 
In recent months, ChatGPT has created a buzz. 
For those who aren’t in the loop, ChatGPT is an AI 
language learning model – or in simpler words, a 
computer program that can chat over text.
It’s more sophisticated than your average AI; it can 
answer complex questions, write a high school 
English paper, compose song lyrics, and even create 
code. The arrival of ChatGPT has left many workers 
worried for their job security. AIs like ChatGPT are 
likely to take over jobs in accounting, healthcare, 
factories and transport: the AI can complete many 
repetitive tasks, and learn to do new ones. This has 
left many human workers worried that their current 
jobs will become unnecessary. 
There are many tasks that machines can do better 
than humans: they have better memories, can 
do maths accurately, as well as work with larger 
datasets. But there are some tasks that are much 
harder for machines to do, such as problem-solving, 
complex decision-making, or leading a human team.
[literal] the sound a bee makes 
[figurative] excitement, interest, activity
aware about a 
topic, informed
repeated many times, 
usually tiresomeaccept change, 
adapt to new 
things 
write or create a work of art (usually music or poetry)
buzz
compose
repetitive
in the loop
embrace 
chance
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Not only that, but AIs similar to ChatGPT still have 
a long way to go. ChatGPT only has access to 
information from 2021 and before, meaning that it 
cannot answer simple questions about who won last 
night’s sports game, or summarise a recent event. It 
also still gets questions wrong frequently, failing at 
basic maths or producing illogical answers.
Some are nervous about AI’s increasing role in the 
workplace, while others are encouraging workers to 
embrace change and learn to use AI as a work tool, 
just like how we currently use spreadsheets and 
calendar scheduling. Regardless of what happens, it 
seems we can’t outsmart AI – so we might as well try 
and get its help.
Disclaimers: This resource has been made for the purpose of teaching English language learners. We know that students can be learning English in many different places, in many different ways and at age, 
so we try to keep these resources as general as possible. 
There are many acronyms associated with English language teaching. These include (but are not limited to) ELT, TEFL, EFL, ELL, EAL and ESOL. While the term ESL may not fully represent the linguistic 
backgrounds of all students, it is the most widely recognised term for English language teaching globally. Therefore, we use the term ‘ESL’ in the names of our resources to make them easy to find but they are 
suitable for any student learning to speak English. 
AI in the workplace
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Questions
1. What is the opposite of in the loop? 
 
2. Give an example of a repetitive task. 
 
3. Choose the sentence with the incorrect meaning of compose: 
a. He composed a lovely poem for his partner. 
b. The dog composed a wagging tail. 
c. He’s quite good at composing songs even without writing anything down.
Vocabulary Builder Questions 
1. What tasks can ChatGPT do? 
 
 
2. What are some of the flaws of ChatGPT? 
 
 
3. What are some advantages of using AI over humans? 
 
 
Reading Comprehension 
AI in the workplace
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1. Have you used AI in the workplace? 
 
 
2. What do you think AI will be like in 10 years time? 
 
 
3. Do you think AI will replace most jobs in the future? 
 
 
4. What are some things humans are better at than AIs? 
 
 
Discussion Questions: 
Discuss these questions with a partner or your teacher. Feel free to record your answers in the spaces 
provided.
AI in the workplace
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Answers
Vocabulary Builder Answers: 
1. Out of the loop 
2. Capturing data, scanning pages of a book, filling in forms [accept any answer that demonstrates student 
understanding of vocabulary] 
3. b
1. ChatGPT can write school papers, answer complicated questions, write lyrics and code
2. It sometimes gives illogical answers, its database is outdated 
3. Ai has better memory, is better at maths, and it doesn’t get tired or need compensation for its work 
Reading Comprehension: 
AI in the workplace
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