AI at Work: 90% of Tech Employees Now Use Artificial Intelligence
BUSINESS
10/9/2025
A1–A2 Level
Vocabulary
survey (noun) — a set of questions to learn what people think.
Example: We did a survey at school to find out everyone’s favourite subject.
computer (noun) — a machine used for work, games, and the internet.
Example: I use my computer to study English online.
AI (Artificial Intelligence) (noun) — a type of computer that can think and learn.
Example: AI can help people write and find information.
worker (noun) — a person who has a job.
Example: The workers are busy in the office.
trust (verb) — to believe that someone or something is good or honest.
Example: I trust my teacher because she always helps me.
Article: AI at Work
A new survey by Google found that 90% of people who work in technology use AI in their jobs.
Workers use AI for many things, such as writing code, fixing mistakes, and writing documents. Most of them say it helps them do their jobs faster.
About 65% of tech workers said they use AI a lot. More than 80% said it makes their work easier.
However, not everyone fully trusts AI. Some people said they trust it a lot, some only a little, and a few said they don’t trust it at all.
Google said AI helps people, but it’s not a replacement for human workers. It’s a tool that makes work faster and better.
Comprehension Questions
Who did the survey?
What kind of work do people use AI for?
Do all workers trust AI the same amount?
Personal Questions (A1–A2)
Do you use computers every day?
Have you ever used AI before?
What jobs do you think use AI?
Do you think AI is helpful or dangerous?
Would you like to use AI for studying?
What kind of apps do you use most?
Do you trust technology?
Who do you think works with computers a lot?
What do you use your phone or computer for?
Do you like learning about new technology?
Do you think AI can make mistakes?
Would you want a robot to help you?
What do you do when technology doesn’t work?
Is technology important in your school or work?
What do you think AI will do in the future?
Answer Key (A1–A2)
Google.
Writing and fixing code, writing documents.
No, people trust it in different ways.
B1–B2 Level
Vocabulary
rely (on) (verb) — to depend on someone or something.
Example: Many people rely on their phones to get information.
modify (verb) — to change something slightly.
Example: I had to modify the report before sending it.
productivity (noun) — how much work is done in a certain time.
Example: AI has improved productivity in many offices.
coding (noun) — writing instructions for a computer.
Example: Learning coding can help you build apps.
replacement (noun) — something that takes the place of another thing.
Example: Many people worry that robots could be replacements for workers.
Article: AI at Work
According to a new Google survey, 90% of technology workers around the world use AI in their jobs. The survey included nearly 5,000 people and found a 14% increase in AI use compared to last year.
Tech employees said they use AI for writing code, modifying existing programs, and creating documentation. Most people spend about two hours a day using AI tools.
More than 80% said AI has improved their productivity, and over half said it helps them code better. However, not everyone completely trusts AI — only 20% said they trust it “a lot,” while about a third said they trust it “a little.”
Google’s report suggests that AI is now seen as a helpful tool rather than a replacement for human workers. Still, researchers say that while AI helps individuals work faster, its overall effect on company success is still difficult to measure.
Comprehension Questions
How many people took part in the survey?
What are the main ways tech workers use AI?
How do most workers feel about trusting AI?
Personal Questions (B1–B2)
Do you use AI tools in your studies or work?
What kind of tasks do you think AI is best at?
Do you trust AI to give correct answers?
How do you think AI affects jobs in your field?
Should people worry about losing jobs to AI?
Do you think AI makes people more productive?
How would you describe your attitude toward AI?
What’s something AI can’t do as well as humans?
How do you think AI has changed communication?
Would you like to learn to code? Why or why not?
Have you noticed more people using AI recently?
What are the advantages of using AI at work?
What are the risks of depending on AI too much?
How do you think companies should train workers to use AI?
Do you think trust in AI will grow or decrease in the future?
Answer Key (B1–B2)
Nearly 5,000 tech workers.
Writing and modifying code, writing documentation.
Trust levels vary — only about 20% trust it “a lot.”
C1–C2 Level
Vocabulary
implementation (noun) — the process of putting something into use or action.
Example: The successful implementation of AI tools transformed the company’s workflow.
adoption (noun) — the act of starting to use something new.
Example: The rapid adoption of AI is reshaping the tech industry.
automation (noun) — the use of machines or software to do tasks automatically.
Example: Automation can reduce costs but also replace human workers.
skepticism (noun) — doubt or disbelief about something.
Example: There is still skepticism about how reliable AI truly is.
efficiency (noun) — the ability to do something well and quickly.
Example: AI increases efficiency by completing repetitive tasks faster than humans.
Article: AI at Work
A recent global survey conducted by Google reveals that 90% of technology employees now use AI in their daily work routines. The research, which included nearly 5,000 participants, shows a steady increase in AI adoption — 14% higher than last year.
Tech professionals report using AI primarily for software development, including generating new code, modifying existing systems, and writing technical documentation. On average, employees spend around two hours a day interacting with AI tools.
Eighty percent of respondents said AI improved their productivity, while over half claimed it enhanced the quality of their code. However, trust remains uneven — only one in five workers expressed strong confidence in AI’s reliability, whereas others expressed mild skepticism.
The survey suggests a shift in perception: AI is now viewed more as an efficiency tool than a human replacement. Google’s analysts also note that while AI accelerates software development, the overall business impact — such as quality assurance and user satisfaction — remains complex to evaluate.
As organizations integrate AI further, the challenge will be maintaining trust, ensuring transparency, and using automation responsibly without undermining human expertise.
Comprehension Questions
What are the main ways tech professionals use AI according to the survey?
How do tech workers generally feel about trusting AI?
What challenge does Google identify regarding AI’s effect on companies?
Personal Questions (C1–C2)
Do you think widespread AI use in the workplace is inevitable?
How might AI change the skills future employees need?
Should companies be transparent about how they use AI?
How can businesses balance automation with human creativity?
What ethical concerns come with depending on AI at work?
How does trust affect the success of AI adoption?
Do you believe AI can ever fully replace human judgment?
What are the long-term economic effects of AI on employment?
How can education systems prepare students for an AI-driven world?
Do you think AI’s benefits outweigh its risks?
How could AI affect industries outside of technology?
Should governments regulate how AI is used in workplaces?
How can companies maintain fairness and privacy when using AI?
What qualities will still make human workers valuable in the future?
What is your personal view on collaborating with AI systems?
Answer Key (C1–C2)
Writing, modifying, and documenting code.
Most workers are cautiously trusting; only 20% fully trust it.
Measuring AI’s total business impact remains difficult.
