Why read this: Big tech companies say AI is the reason for recent layoffs, but the real picture is more mixed. This article gives B2 readers a chance to look at how a public message from a company can differ from what the data shows. It also introduces students to ideas they will meet often in news reports about work and technology, such as AI-exposed jobs, profit margins and workforce reductions.
What to notice: Notice how the writer first agrees that part of the AI story is true, and then shows where the evidence does not match the company message. Pay attention to hedging words like 'may', 'suggests' and 'however' which signal that the writer is being careful, not certain. The Meta example is the clearest moment in the article: the company is laying off staff and at the same time spending US$600 billion on AI, which raises a question about who is really paying for the AI bet.
Skills practised: Students practise tracking a two-sided argument across several paragraphs and using cited evidence (Anthropic, Goldman Sachs, PwC) to test a claim. They practise reading hedged language at B2, where 'may' and 'suggests' carry meaning, not weakness. They also practise reading short numerical claims in context, such as the 2.5% at-risk figure, the 20% Meta layoff and the 56% wage premium for AI-skilled workers.
Tech companies say AI is taking jobs. The story is more complicated.
Atlassian, Amazon and Meta all blame AI for layoffs. The numbers suggest other reasons may also be at work.
Tap any green word in the article to see its meaning.
Over the past few months, several large tech companies have announced big . They say the reason is artificial intelligence. Atlassian, Block and Amazon have all said they will thousands of workers because they are using AI more.
The message from these companies is simple. AI can now do work that people used to do, so fewer workers are needed. However, the evidence tells a more careful story.
Part of the AI story is true
There are real changes in some parts of the job market, but the size of the change is often exaggerated. Research from Anthropic, published this month, shows that AI can do many work tasks. Yet most of those tasks are still done mainly by people, not by AI tools.
Some jobs face more pressure than others. Computer programmers are at the top of the list, followed by customer service workers and data entry staff. Even in these jobs, however, AI is still used in a limited way.
A 2025 Goldman Sachs report estimated that if companies used AI for everything it can currently do, about 2.5% of US jobs would be at risk. That is not a small number. However, the report also notes that workers in jobs are not yet more likely to lose their jobs or earn less than other workers.
The report does see some early stress in certain industries. Marketing, graphic design, office work and call centres are growing more slowly than before. In the US tech sector, young workers in their 20s in AI-exposed jobs saw unemployment rise by almost 3% in early 2025. These are real signals, but they are limited to specific sectors. They are not the wide loss of jobs that company announcements often suggest.
So what else might be going on?
The other reasons companies are letting people go
The timing of these layoffs is interesting. Many tech firms hired too many people during the , when online services were in high demand. Investors are also pushing companies to improve . These pressures exist alongside the real progress in AI, but they are rarely mentioned together.
There is also a strong financial reason for companies to look like they are using AI. Since ChatGPT launched in 2022, AI-related stocks have driven about 75% of the gains in the S&P 500. A linked to AI sounds better to investors than a simple cost cut.
Meta is a good example. The company is reportedly planning to lay off as much as 20% of its staff. At the same time, it has promised to spend US$600 billion on and top AI researchers. The workers losing their jobs are not really being replaced by AI today. They may be paying for the that Meta is making on the future.
The bigger picture
A recent PwC report suggests that jobs are still growing in most industries that use AI, just more slowly. Wages are also rising faster in those industries, and workers with AI skills earn about 56% more on average.
The , then, may not be . It may be a workplace where AI tools change what people do, rather than replace them completely.
Over the past few months, several large tech companies have announced big . They say the reason is artificial intelligence. Atlassian, Block and Amazon have all said they will thousands of workers because they are using AI more.
The message from these companies is simple. AI can now do work that people used to do, so fewer workers are needed. However, the evidence tells a more careful story.
Part of the AI story is true
There are real changes in some parts of the job market, but the size of the change is often exaggerated. Research from Anthropic, published this month, shows that AI can do many work tasks. Yet most of those tasks are still done mainly by people, not by AI tools.
Some jobs face more pressure than others. Computer programmers are at the top of the list, followed by customer service workers and data entry staff. Even in these jobs, however, AI is still used in a limited way.
A 2025 Goldman Sachs report estimated that if companies used AI for everything it can currently do, about 2.5% of US jobs would be at risk. That is not a small number. However, the report also notes that workers in jobs are not yet more likely to lose their jobs or earn less than other workers.
The report does see some early stress in certain industries. Marketing, graphic design, office work and call centres are growing more slowly than before. In the US tech sector, young workers in their 20s in AI-exposed jobs saw unemployment rise by almost 3% in early 2025. These are real signals, but they are limited to specific sectors. They are not the wide loss of jobs that company announcements often suggest.
So what else might be going on?
The other reasons companies are letting people go
The timing of these layoffs is interesting. Many tech firms hired too many people during the , when online services were in high demand. Investors are also pushing companies to improve . These pressures exist alongside the real progress in AI, but they are rarely mentioned together.
There is also a strong financial reason for companies to look like they are using AI. Since ChatGPT launched in 2022, AI-related stocks have driven about 75% of the gains in the S&P 500. A linked to AI sounds better to investors than a simple cost cut.
Meta is a good example. The company is reportedly planning to lay off as much as 20% of its staff. At the same time, it has promised to spend US$600 billion on and top AI researchers. The workers losing their jobs are not really being replaced by AI today. They may be paying for the that Meta is making on the future.
The bigger picture
A recent PwC report suggests that jobs are still growing in most industries that use AI, just more slowly. Wages are also rising faster in those industries, and workers with AI skills earn about 56% more on average.
The , then, may not be . It may be a workplace where AI tools change what people do, rather than replace them completely.
Questions
Check your understanding
- 01
According to the article, what do Atlassian, Block and Amazon say is the main reason for their layoffs?
- 02
What does the 2025 Goldman Sachs report suggest about workers in AI-exposed jobs today?
- 03
What does the example of Meta suggest about some current layoffs?
- 04
How does the writer use the example of Meta to question the idea that AI is the main cause of recent layoffs?
Suggested length: ~80 words
- 05
How does the article suggest that AI may change the workplace, even if it does not cause mass displacement?
Suggested length: ~80 words
Questions
Check your understanding
- 01
According to the article, what do Atlassian, Block and Amazon say is the main reason for their layoffs?
- 02
What does the 2025 Goldman Sachs report suggest about workers in AI-exposed jobs today?
- 03
What does the example of Meta suggest about some current layoffs?
- 04
How does the writer use the example of Meta to question the idea that AI is the main cause of recent layoffs?
Suggested length: ~80 words
- 05
How does the article suggest that AI may change the workplace, even if it does not cause mass displacement?
Suggested length: ~80 words