Will AI replace teachers?

Secondary school teachers are not exposed to generative AI according to the International Labour Organization: their tasks stay below the exposure threshold of its index. The most exposed is designing curricula and courses; the least exposed are managing the classroom and preparing materials.

ILO reference occupation · Secondary Education Teachers

Barely affected

Generative AI touches few of this job's tasks: its content stays largely the same.

ILO category: Not exposed

What AI changes in the job, task by task

Preparation is more exposed than the classroom itself: designing curricula and courses (a score of 0.47 out of 1), preparing and marking tests (0.35), writing reports on pupils (0.34). Giving lessons (0.27), adapting teaching to students' needs (0.26) and enforcing classroom rules (0.23) are clearly less exposed.

  • Designing and modifying curricula and preparing educational courses of study in accordance with curriculum guidelines

    Low
  • Preparing, administering and marking tests, assignments and examinations to evaluate pupils' progress

    Low
  • Preparing reports about pupils' work and conferring with other teachers and parents

    Low
  • Establishing clear objectives for all lessons, units, and projects and communicating those objectives to students

    Low
  • Planning, organizing and participating in school activities such as excursions, sporting events and concerts

    Low
  • Preparing and giving lessons, discussions and demonstrations in one or more subjects

    Low
  • Adapting teaching methods and instructional materials to meet students' varying needs and interests

    Low
  • Observing and evaluating students’ performance and behaviour

    Low
  • Participating in meetings concerning the school's educational or organizational policies

    Low
  • Preparing materials and classrooms for class activities

    Very low
  • Establishing and enforcing rules for behaviour and procedures for maintaining order among students

    Very low

Source: ILO, Generative AI and Jobs, Working Paper 140, 2025.

Neighbouring jobs

The younger the students, the lower the ILO score: higher education 0.37, secondary 0.30, primary 0.26, early childhood 0.21. Only two teaching occupations reach an exposure gradient: information technology trainers (gradient 2) and education methods specialists, who design curricula and materials (gradient 1).

  • Information Technology Trainers

    Moderately exposed

  • Education Methods Specialists

    Slightly exposed

  • University and Higher Education Teachers

    Minimally exposed

  • Secondary Education Teachers· this job

    Barely affected

  • Primary School Teachers

    Barely affected

  • Early Childhood Educators

    Barely affected

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Limits

The ILO classifies teachers by level of education: this page takes secondary teachers as its reference (code 2330), with other levels among the neighbouring jobs. Its 2025 scores were largely produced by AI models, then checked against a survey of workers and expert panels: they are estimates, not measurements. Opening counts only cover Brevy's catalogue.

Source: Gmyrek, P., Berg, J., Kamiński, K., Konopczyński, F., Ładna, A., Nafradi, B., Rosłaniec, K., Troszyński, M. Generative AI and Jobs: A Refined Global Index of Occupational Exposure. ILO Working Paper 140. Geneva: International Labour Office, 2025. © ILO, CC BY 4.0. https://doi.org/10.54394/HETP0387

This page is an adaptation: categories are regrouped for the table. Notice required by the licence:

This is an adaptation of a copyrighted work of the International Labour Organization (ILO). This adaptation has not been prepared, reviewed or endorsed by the ILO and should not be considered an official ILO adaptation. The ILO disclaims all responsibility for its content and accuracy. Responsibility rests solely with the author(s) of the adaptation.

Search titles: ESCO, European Commission. Openings: Brevy catalogue.