Teachometry Blog
Ideas that should become testable questions.
The benchmark should stay evidence-first. The blog is where we make the underlying hypotheses explicit: what teaching is, what AI might change, and what would have to be measured before stronger claims are justified.
Why Teaching Does Not Scale
The central scarcity in education is not information. It is sustained, individualized teaching attention.
Read essay → Perspective · September 17, 2026Teaching and Supervision Are Different Jobs
If AI can carry more of the instructional load, the remaining human role may increasingly center on supervision, responsibility, safety, and social life.
Read essay →Editorial boundary
Hypotheses are not benchmark results.
These essays describe a long-run research direction. They do not claim that current AI systems have already demonstrated long-term learning gains, autonomous K12 teaching, or any particular level of workforce replacement. Those are empirical questions, and the purpose of Teachometry is to make them measurable.