If you have spent years building a career, it is hard to ignore a headline announcing that artificial intelligence will replace millions of workers. The question behind it is personal: Could AI take my job?
The honest answer is that some jobs are likely to disappear, others will change, and no one can tell you exactly what will happen to yours. The outcome depends on the work you do, how your employer adopts technology, and changes in the wider economy.
There is a useful distinction behind the headlines. AI may be able to do part of a job without being able to handle the entire position. At the same time, automating part of a job can still affect how many people an employer needs.
AI is changing tasks within jobs
Think about an experienced customer service representative. A chatbot can answer a straightforward question about store hours or help a customer find an order. A more complicated complaint may involve an unclear account history, an exception to policy, and a customer who wants a person to take responsibility.
A company might use AI to help its representatives find information faster. Another might use it to handle more routine requests with fewer staff. Both are possible responses to the same technology.
This is why researchers often discuss exposure. An occupation is exposed to AI when some of its tasks could be assisted or performed by the technology. The U.S. Bureau of Labor Statistics says its AI exposure ratings measure a job’s connection to the technology. The ratings alone cannot predict job losses or an individual worker’s future.
What the research says about job losses
A 2025 study from the International Labour Organization and Poland’s National Research Institute estimated that one in four jobs worldwide has some potential exposure to generative AI. The researchers said changes to jobs are more likely than complete replacement for most affected occupations. That figure measures potential exposure across many different occupations. Actual job losses depend on how employers and workers adopt the technology. Read the ILO study.
Early evidence is still developing. In a March 2026 analysis, AI company Anthropic found no systematic increase in unemployment among U.S. workers in highly exposed occupations since late 2022. Its measure combines estimates of AI capabilities with usage of its own products, so it cannot capture every use of AI or every effect on workers. The researchers also found tentative evidence of slower hiring for younger workers entering exposed occupations. Read the research and its limitations.
Those findings describe broad patterns. Individual workers can still face layoffs, hiring freezes, reduced hours, or changes at a particular company.
Some kinds of work face more pressure
Jobs with substantial amounts of routine digital work are among those researchers are watching closely. The ILO identifies clerical occupations as especially exposed. Its study also finds growing exposure in some media, software, and finance roles.
Exposure is only one part of the picture. Employers also consider costs, customer expectations, accuracy, legal responsibilities, and whether a tool fits their existing systems. Two people with the same job title may do different work or face different changes.
The Bureau of Labor Statistics projects that U.S. employment of customer service representatives will decline by 5% from 2025 to 2035. It expects automation and other technology to reduce demand for some tasks, while complex inquiries will still require service. The projection considers the occupation as a whole and includes several factors affecting employment.
The same outlook projects about 289,500 openings a year on average, largely because people leave the occupation or the workforce. A field can have job openings while its total number of positions declines.
What this means if you are over 40
A career change can look different when you have a mortgage, family responsibilities, or retirement plans. Taking time away from work or paying for a lengthy course may not be practical. It is reasonable to want more than a general promise that new jobs will appear.
The Anthropic study found that workers in occupations with higher measured exposure tended to be older and more highly educated. The researchers measured exposure by occupation, and the findings do not predict what will happen to any individual worker.
Experience can give you knowledge of customers, workplace rules, common mistakes, and decisions that require context. That knowledge may help when an AI system produces an answer that sounds plausible but misses an important detail. Experience by itself, however, cannot guarantee that a position will remain unchanged. Employers still decide how work is organized and how technology is used.
Learning how AI is used in your own field can be valuable without making a career in technology your goal. For one worker, that may mean understanding how an employer’s approved tool prepares a first draft. For another, it may mean knowing how to check an automated summary against the original information. The most useful knowledge depends on the actual work and the rules of the workplace.
Age discrimination is a separate concern. In the United States, federal law generally protects workers and job applicants age 40 and older from employment discrimination based on age, including in hiring, training, and layoffs. Coverage and individual circumstances matter. The U.S. Equal Employment Opportunity Commission explains the protections and how to get information.
New jobs and changing opportunities
AI is also contributing to demand in areas such as software, research, infrastructure, and services. The Bureau of Labor Statistics projects overall U.S. employment will grow by about 5.9 million from 2025 to 2035. That is a projection for the entire economy, shaped by many factors. The same projection expects employment in office and administrative support occupations to decline, with automation among the contributing factors. See the BLS projections.
A growing economy does not guarantee an easy transition for someone whose job changes. A new position may be in another location, pay differently, or require training. Those details matter more to a worker than a reassuring national total.
The question worth following
AI is already capable of performing some work that people do today. How quickly that leads to changes in staffing, pay, and opportunities remains uncertain, and the effects will not be the same everywhere.
For people over 40, the most useful conversation is about the work itself: which responsibilities are changing, where human judgment remains important, and whether workers have access to the training and support their employers expect them to use. Those answers will be more useful than a prediction that treats every job and every worker the same.
Sources reviewed November 6, 2026. The featured image is an AI-generated illustration. This article was drafted and revised with AI assistance and is provided for general information. Employment projections are estimates, and individual circumstances vary.
