Jobs With the Lowest Risk of Being Replaced by AI

Jobs With the Lowest Risk of Being Replaced by AI

AI won’t automate entire professions requiring social skills, adaptability & human intelligence. Healthcare, education, arts/entertainment, engineering, academia have low risk. Focus on creativity, critical thinking, collaboration. Specialize in niche skills robots can’t match.


The continued advancement of artificial intelligence (AI) and robotics has led to increasing anxiety about the future of human employment. With machines and algorithms becoming capable of performing more and more tasks, many jobs are at risk of partial or full automation.

However, some occupations are much safer from replacement by AI than others. Jobs that rely heavily on uniquely human skills like creativity, empathy, complex communication, and social intelligence have the lowest risk of being automated in the foreseeable future.

Although automation may transform how some roles are performed, entire professions that require advanced cognitive abilities, quick adaptability, or human interactions are unlikely to ever be completely replaced by machines. By understanding which jobs are least susceptible to automation, workers can make informed career choices to remain competitive in the age of AI.

Jobs in Healthcare

Roles in healthcare often require skills like critical thinking, emotional intelligence, complex decision making, and human interaction, making them very difficult to fully automate. According to a study by McKinsey & Company, only about 30% of activities for healthcare providers like nurses, doctors, dentists, and surgeons could be automated using current technology.

Jobs in this field must frequently deal with unpredictable situations and require quick adaptability. For example, nurses and doctors have to evaluate patients with empathy, communicate clearly, and provide reassurance. Robots lack the advanced reasoning and interpersonal skills needed for these complex human interactions.

Of all healthcare roles, nurse practitioners have the lowest automation risk. Their job growth is projected to increase substantially, by 45.7% between 2020 and 2032 according to Bureau of Labor Statistics data. With a median salary of over $120,680 annually, nurse practitioner is also among the highest paid low-risk careers.

To become a nurse practitioner takes significant education, including earning at least a master’s degree in nursing. This career path involves providing advanced nursing care, performing physical exams, assisting in surgeries, prescribing medications, and more. With an aging population and increased demand for healthcare professionals, nurse practitioners are poised to see excellent job prospects in the years ahead.

Other medical jobs with minimal risk of automation include nurses, doctors, dentists, therapists, social workers, and medical assistants. Healthcare support roles like paramedics and EMTs also require quick adaptability in emergencies. Overall, most occupations in the healthcare industry have a bright future regardless of improvements in AI and robotics.

Jobs in Education

Teaching is an inherently human profession reliant on interpersonal connection. Educators like professors, teachers, instructors, and school administrators must be able to communicate complex topics in a way students can understand. They need to identify and adapt to different learning styles and build rapport with students.

AI tutoring platforms have begun emerging, but fully automated teaching is implausible since education relies so heavily on social-emotional intelligence. Virtual tutors may serve as supplements for human teachers, but are unable to provide the empathy, discretion, and real-world wisdom of experienced educators. Enrollment growth in schools and universities will also continue to drive demand. Employment of postsecondary teachers alone is projected to grow 9% between 2020 and 2030 per the Bureau of Labor Statistics.

Jobs in education administration are also likely to be safe from automation. Principals, superintendents, and other K-12 school leadership roles require both managerial and interpersonal skills. Developing curriculum, making hiring decisions, and interfacing with parents cannot easily be replicated by artificial intelligence. Employment for K-12 education administrators is estimated to grow about 5% over the next decade.

Overall, the uniquely human elements of teaching and academia cannot be easily replicated by machines. People seek out education to gain social and emotional skills as much as academic knowledge. Humans are simply better equipped to nurture those interpersonal abilities. While AI tutors may play a small supplemental role, teachers and academic administrators should feel confident about job security.

Jobs in the Arts and Entertainment

Creative fields like art, design, and entertainment rely heavily on originality, imagination, and social-emotional skills. These abstract human qualities are virtually impossible for current AI systems to authentically replicate. Roles like musicians, writers, artists, graphic designers, and journalists have very minimal risk of ever being fully automated by machines.

Employment of choreographers, for example, is projected to grow at an astonishing 29.7% rate through 2032 according to the Bureau of Labor Statistics. Their median salary is over $42,000 annually. Choreographing requires creative thinking, communication skills, and keen social intuition. AI lacks the empathy and imagination needed to replace human dance choreographers. Other creative arts roles like musicians, composers, actors, and photographers have similarly bright outlooks.

The entertainment industry is projected to continue expanding, especially as interactive media like video games grows. Game designers, animators, and developers excel at imagining engaging user experiences that current AI cannot match. McKinsey estimates less than 30% of activities could be automated for these creative occupations. Seemingly mundane creative roles like photographers also rely heavily on uniquely human vision and perspective. Overall, the arts, entertainment, and media are likely to remain human-dominated industries.

Personal Services Jobs

Many jobs providing personal services like fitness training, beauty services, life coaching, and counseling rely heavily on emotional intelligence and human relationships. These interpersonal soft skills are extremely difficult for artificial intelligence to authentically replicate. Jobs like personal trainers, hairstylists, therapists, and counselors have very minimal risk of automation.

For example, being an effective life coach depends on skills like active listening, empathy, and motivation—things modern AI systems lack. Forming personal bonds and adapting advice to each client’s needs is crucial. While AI could potentially be designed to simulate basic coaching, it cannot match the depth of emotional connection and discretion real human counselors provide. The automation risk for these types of social jobs remains extremely low.

Jobs providing personal beauty services like hairstyling, makeup artistry, and skin care rely even more heavily on human dexterity and interpersonal skills. Robots lack human-level motor skills and the ability to chat and form client relationships. While basic tasks like scheduling may be automated, most activities in beauty and personal services will remain human-performed.

Other Low-Risk Roles

Several other occupations requiring advanced education, quick adaptability, and human interaction are also at very minimal risk of ever being fully automated by AI. These include:

  • Specialized medical roles like surgeons, dentists, orthodontists, psychiatrists, therapists, and prosthetists. These require years of medical training and rely on uniquely human critical thinking and dexterity. For example, over 90% of dentist activities require human-level flexibility and judgment.
  • First responders and emergency management directors who rely on adaptability in quickly changing high-risk environments. Responding to unpredictable emergencies requires human ingenuity.
  • Engineers and architects who need creativity and problem-solving skills to design solutions on a case-by-case basis. While some tasks may be automated, overall project management and design work is best suited for humans.
  • Scientists and researchers who rely on curiosity and critical thinking skills that machines cannot match. For example, agricultural scientists, biologists, and chemists need human judgement to conduct open-ended research.
  • College professors and administrators who oversee learning environments, conduct complex research, and mentor students. Human interaction is crucial for student development.

Again, these types of jobs cannot be reduced to a standardized set of rules. They require advanced reasoning, quick adaptability, and an ability to operate despite ambiguities—innately human skills modern AI still lacks. Workers in these fields can feel relatively confident about their job prospects.

Adapting to Automation

Although parts of many jobs may become automated, full automation of entire skilled professions requiring cognitive abilities and human interaction remains unlikely. According to the McKinsey Global Institute, less than 5% of occupations could be fully automated using current technology. However, about 60% could see at least 30% of activities automated.

This partial automation may radically change how some roles are performed. For example, chatbots and voice recognition are automating simple customer service tasks, though human agents are still needed for complex issues. Paralegals and legal secretaries are now using AI for document review and drafting. In healthcare, robotics is assisting with surgeries.

While routine tasks are prime for automation, jobs requiring cognitive and social skills will continue relying on human workers. To stay competitive, workers should seek to gain abilities like critical thinking, adaptability, collaboration, leadership, and emotional intelligence that AI lacks. Continuing to expand one’s skillset will be crucial.

It also helps to have clearly defined niches and specializations. For example, a generalist doctor may eventually lose out to AI health platforms, but a neurosurgery specialist can provide targeted expertise robots cannot match. Specializing and identifying a distinct professional purpose helps maintain relevance.

Automation may create significant disruption for some roles, eliminating millions of repetitive jobs over time. But AI and robotics also stands to remove unsafe work and augment human capabilities. Modifying how to approach work, rather than resisting change, will be constructive. By being adaptable, gaining niche skills, and focusing on innate human strengths like creativity and empathy, workers can remain irreplaceable.

Jobs Most at Risk from Artificial Intelligence

JobAI Automation Risk LevelRAG Status
Nurse PractitionersVery LowGreen
DoctorsVery LowGreen
TherapistsVery LowGreen
TeachersVery LowGreen
ChoreographersVery LowGreen
MusiciansVery LowGreen
WritersVery LowGreen
Personal TrainersVery LowGreen
CounselorsVery LowGreen
Emergency Management DirectorsLowAmber
Police OfficersModerateRed
Financial AnalystsModerateRed
Data Entry ClerksHighRed
Assembly Line WorkersVery HighRed
TelemarketersVery HighRed
Food Counter WorkersVery HighRed


Advancements in AI will transform many occupations, especially those involving repetitive, routine tasks. But predictions that automation will lead to mass human unemployment are exaggerated. Many roles relying on social skills, quick adaptability, dexterity, problem solving, and emotional intelligence appear safe.

Jobs in healthcare, education, the arts, personal services, engineering, academia, and first response are among the least likely to ever be fully automated. These roles require advanced cognitive and interpersonal human abilities that current AI cannot match. Workers should focus on developing creative, social, and emotional intelligence to remain valuable.

With adaptable mindsets and emphasis on distinctly human skills, many occupations should continue thriving alongside automation. Mass displacement may not be imminent, but complacency is unwise. By specializing and honing uniquely human talents, workers in all fields can build sustainable careers in the age of artificial intelligence.