AI Readiness Needs a Ladder, Not a Leap

A child can open an artificial-intelligence system before learning how to test its answer. A student can produce a polished assignment before acquiring the knowledge needed to defend it. A minister can generate a sermon outline before developing the biblical and pastoral judgement required to carry its consequences.

These are not arguments for technological isolation. They reveal a curriculum problem. Access has arrived as a switch, while readiness develops as a sequence.

Responsible AI education should therefore ask more than whether a tool is available or whether learners have received a workshop. It should ask which human capabilities must already exist, which uses require supervision, what evidence demonstrates growing judgement and when greater independence becomes educationally and ethically warranted.

AI readiness needs a ladder, not a leap. The task is to protect foundational learning, introduce assistance through capable people and release autonomy only when learners can verify, explain, adapt and accept responsibility for what they do with the system.

On 14 August 2026, the Times of India reported two new notices from India's Central Board of Secondary Education. One directs enrolment of teachers and school heads in NISHTHA professional-learning courses for the 2026–27 session. The other draws schools' attention to more than 845 curriculum-aligned virtual laboratories and digital resources available through the national DIKSHA platform.

DIKSHA's official virtual-laboratory page describes simulations, animations, videos, documents and…