Secondary School Teachers, Except Special and Career/Technical Education
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Teach one or more subjects to students at the secondary school level.
The occupation "Secondary School Teachers, Except Special and Career/Technical Education" has an automation risk of 37.6%, which is relatively moderate when compared to fully automatable jobs. Its base risk is determined at 38.3%, suggesting that while some aspects of the role could be automated, a significant proportion still requires human involvement. The moderate risk reflects the fact that teaching encompasses not only routine and repeatable activities but also complex interpersonal and creative tasks. For example, preparing materials and classrooms for class activities is a task that can be streamlined or even replaced by automated systems, making it highly susceptible to automation. Similarly, instructing through standardized lectures, discussions, and demonstrations, particularly in core subjects, can partially be performed through adaptive learning platforms or recorded lessons, thereby increasing automation potential. The most automatable components of this occupation primarily involve routine preparation, direct instruction, and communication of objectives. Automated systems can efficiently prepare teaching materials, manage classroom layouts, and deliver lesson plans through digital platforms. Lectures, discussions, and demonstrations can increasingly be managed by AI-powered educational software capable of addressing student queries through programmed responses. Additionally, setting clear objectives for lessons and communicating them can be standardized and delivered via online portals or learning management systems, reducing the necessity for human intervention in these tasks. As a result, these duties are among the most susceptible to automation, driving up the associated occupational risk. However, there are core aspects of teaching that remain resistant to automation. Providing students with disabilities tailored support and assistive technology requires a high degree of empathy, adaptability, and on-the-spot judgment that current AI systems struggle to replicate. Similarly, administering and interpreting standardized tests demand nuanced understanding to accurately gauge diverse student needs and adjust teaching strategies accordingly. Sponsoring extracurricular activities, such as clubs or academic contests, also necessitates creativity, leadership, and mentorship—skills that are deeply human. These areas rely heavily on originality, as evidenced by the identified bottleneck skill level (3.6%–3.8%), indicating that creative and adaptive thinking is a significant barrier to automation within secondary education roles. Thus, while many tasks can be automated, the essence of teaching and student engagement retains strong resistance.