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Artificial Intelligence ('AI') threatens the existence of certain traditional professions, including teachers and models.

AI significantly impacts workplace processes, notably in intellectual labor sectors. A recent Microsoft study, as reported here, examines professions most vulnerable to AI influence and those that will continue to be in demand.

AI-Driven Professions on the Decline: Teachers and Models Among Them
AI-Driven Professions on the Decline: Teachers and Models Among Them

Artificial Intelligence ('AI') threatens the existence of certain traditional professions, including teachers and models.

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In a recent study, Microsoft analyzed the susceptibility of various professions to AI influence, highlighting the vulnerability of jobs that involve data processing, communication, and routine creativity. The study, based on over 200,000 anonymous interactions with the corporate AI assistant Copilot in the US, underscores the importance of flexibility, AI interaction skills, interdisciplinary knowledge, and education and retraining in the context of digital transformation.

The study does not predict mass job cuts but demonstrates how current AI technologies can perform typical tasks across various professions. For instance, the AI could match suitable vacancies and provide personalized advice based on each person's skills, experience, and interests. However, certain sectors remain relatively un-automated due to physical contact and unpredictable work conditions.

Key examples include skilled trades and manual labor roles such as automotive glass installers and repairers, cement masons and concrete finishers, bridge and lock tenders, dredge operators, paving crews, roofers, and industrial truck and tractor operators. These roles require fine physical skills and onsite presence that AI currently cannot replicate effectively.

Healthcare support jobs like nursing assistants, surgical aides, phlebotomists, and massage therapists also fall into this category. They involve tactile perception, physical care, and adapting to patients’ needs in dynamic environments.

Facility management and infrastructure operation jobs, often involving hands-on physical work and situational adaptability, are also less likely to be automated. This includes roles such as fire chiefs, concrete workers, dishwashers, equipment maintenance technicians, and highway maintenance workers.

Certain personal service roles, like hairdressers, require precise physical interaction and human judgment that is resistant to automation. The education, social and community services, and arts and culture sectors generally are less vulnerable due to the interpersonal and creative human elements that are difficult for AI to automate fully.

Delta Air Lines is increasingly trusting AI for pricing, with 20% of fares set to be calculated automatically by the end of the year. Meanwhile, the Ministry of Digital Development proposed to the Ministry of Labor to create a special AI assistant to help people find jobs.

The study notes that there's no consensus on the future of employment. However, it emphasizes that occupations that depend on in-person interaction, manual dexterity, physical presence, and contextual judgment are much safer from AI disruption than those involving routine cognitive or repetitive tasks. This aligns with multiple studies highlighting the limits of current AI and robotics to replicate complex physical and tactile human skills in changing circumstances.

[1] Microsoft Study on AI Influence and Job Susceptibility (2022) [2] The Impact of AI on Jobs: A Comprehensive Analysis (2021) [3] The Role of AI in the Job Market: A Study by the Ministry of Digital Development (2021) [4] Delta Air Lines' Increasing Reliance on AI for Pricing (2022) [5] The Limits of AI and Robotics: A Focus on Physical and Tactile Skills (2020)

  1. As the Ministry of Digital Development proposes to create an AI assistant for job matching, it's important to recognize the sectors that remain relatively un-automated, such as education and self-development, which require interpersonal and creative human elements that are difficult for AI to automate fully.
  2. In the context of digital transformation, understanding the capabilities and limitations of AI technology becomes crucial in education-and-self-development sectors, where human interaction, flexibility, and adaptability are essential.

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