Transcription
AI is devastating white collar careers. A study by the Pew Research Center showed that workers with higher educational degrees are the most likely to be replaced by AI. For the first time ever, white collar jobs in California are shrinking while blue collar jobs are growing. Conversely, the jobs least exposed to being replaced are those that do not require a college degree. So AI may be coming for some job sectors, but as far as plumbers and electricians and those kinds of trade jobs go, uh those people are safe.
This has led young people to start preferring bluecollar jobs instead of pursuing a university degree. More young people are now opting for bluecollar jobs over a college degree. The unemployment rate is accelerating much faster for fresh college grads. Moreover, 60% of all US workers say they are concerned about the impact of AI on their jobs. 60% of workers are worried about losing their jobs to AI in the next 10 years. But the most concerning thing is that a study found that the highest paying jobs are the ones most at risk of disappearing due to AI. The type of jobs that the study found are most exposed to AI, white collar occupations, often with high education requirements and higher pay. However, there seem to be certain professions that appear to be AI proof. So, which careers are most at risk from AI impact?
The impact of artificial intelligence on the labor market has become one of the most urgent debates today. Advances in automation, machine learning, and data processing are transforming the way companies operate and how workers fit into the economy. However, not all occupations face the same level of vulnerability. While some professions are at high risk of disappearing or being significantly reduced in number, others appear relatively protected thanks to human skills that are difficult to replace.
According to a study by Goldman Sachs, AI could automate up to 18% of global work with a particularly strong impact on administrative, office, and support jobs. Artificial intelligence disrupting giants like management consultant McKenzie and company at an existential level already. Likewise, the International Labor Organization estimated that nearly 300 million full-time positions worldwide could be affected to varying degrees by the massive introduction of these technologies. In the US, the World Economic Forum warned that around 83 million jobs could disappear by 2027 due to automation.
The professions most exposed to the risk of being replaced by AI tend to be concentrated in sectors where tasks are routine, repetitive, and based on structured information processing. A report by the McKenzie Global Institute estimated that up to 50% of the work activities currently performed by people could be automated using existing technologies, although not necessarily immediately or completely. Within these activities, the administrative sector is one of the most affected. Data entry, spreadsheet management, and low-level accounting functions are at risk of disappearing at rates ranging from 40% to 70% depending on the country and the level of technological sophistication. Those working in sales, marketing, public relations, programming, and business analytics are most at risk of losing their jobs. For example, in the US, the Bureau of Labor Statistics reported that data entry clerk occupations have declined by more than 25% in the past decade, and they are expected to continue falling at an accelerated rate by 2030 due to the implementation of intelligent automation software.
In the customer service sector, the use of chat bots and virtual assistants capable of handling increasingly complex inquiries has led to a progressive replacement of human jobs. According to Gartner, it is estimated that by 2026, 75% of customer service interactions will be managed by AI compared to 20% recorded in 2019. This figure implies a significant reduction in demand for call center agents, a job that currently employs more than 17 million people worldwide. While use cases for AI continue to grow, there is one industry leaning hard into the technology. Customer support. In regions such as Latin America, where this sector expanded over the past two decades, the impact could represent the loss of up to 2 million jobs in the next 5 years.
Another heavily impacted sector is translation and basic content writing. Platforms like Google Translate have surpassed 90% accuracy in general use translations and automatic text generation tools like chat GPT or Claude allow companies to produce articles, reports, and technical manuals in a matter of minutes. According to consulting firms, around 45% of the tasks currently performed by professional translators could be taken over by AI in the next 10 years. This is especially true in standardized technical translation and corporate documentation. In the field of journalism and content writing, it is estimated that 37% of US companies already use generative AI for writing tasks and an additional 44% plan to adopt it before 2026. Could save your job or take your job.
The technology behind artificial intelligence is racing so fast that many industries don't know whether to be excited or scared. in journalism is no different. However, not all the outlook points to replacement. There are occupations where AI complements human work rather than replaces it and others in which the risk of automation remains low. Professions such as doctors, psychologists, social workers and in general those that require a high level of empathy, moral judgment or creativity remain relatively protected. According to Goldman Sachs, less than 5% of the tasks performed by mental health professionals can currently be automated. And in the case of teachers, the percentage does not exceed 10% since personal interaction and pedagogical adaptation are still irreplaceable. Nurse practitioners, creatives, choreographers, uh mental health professionals. So those are fields that maybe are safe in the short term and could maybe be benefited by AI.
Occupations related to specialized manual trades such as electricians, plumbers, or maintenance technicians present lower risks. This is because the physical automation of tasks in non-standardized environments still faces technical limitations and high costs. In fact, the US Department of Labor projects that employment for electrical installation and repair technicians will grow by 6% between 2022 and 2032. This rate is higher than the overall average of the labor market precisely because these functions require adaptations in changing environments that robotics cannot yet replicate efficiently. It may be not the most glamorous job to some, but there's a growing shortage of plumbers in our valley and across the country.
Nevertheless, even in relatively protected sectors, AI is driving a transformation in the required skill sets. According to an IBM report, 40% of the global workforce will need to reskill in new digital skills over the next 3 years, equivalent to more than 1.4 billion workers. This means that although certain occupations may not disappear, their practice will require greater familiarity with AI tools. From assisted diagnostic systems to predictive analysis platforms or automated collaboration software, AI isn't here to substitute doctors and healthcare providers. It's actually here to enable them, make them better at their service for patients. We're using AI to automate communication between healthare systems and patients.
The impact of AI on employment is not homogeneous and depends on both the nature of tasks and the economic and social context. Statistics show that millions of administrative, customer service, and content production jobs are at risk of disappearing or being radically transformed in the next decade. In some cases, the reductions could exceed 50% of current activities. The major challenge for governments, companies, and workers is to anticipate this transition through training, reskilling, and social protection policies. The International Labor Organization estimates that about 60% of workers worldwide do not have access to adequate professional retraining programs, which increases the risk that labor and social inequality will widen instead of narrowing.
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