This isn't binary, teachers have limited bandwidth and supplementing real teaching with AI supported research can work.
Students need to understand what AI is and is not.
Something got lost as we transitioned from parents telling their kids to 'go play and do not come back until dinner is ready' to us handholding & driving our kids from one social/sport activity to the next.
While it causes fights with my kids, I blank refuse to do certain things for them (fix their internet connection, repair a toy or bike) I'll give them the tools and they know to ask when they get stuck.
The act of learning through failure is a dying art these days. It's 'teach to the test', stressed out teachers, parents having too much to do compounded by taking on second, third jobs in this economy.
Teaching our kids how to leverage AI is something parents should invest in. Its part of a broader education landscape.
Its good for kids to be bored and find things to do for themselves. It good for adukts too.
You're basically describing the established pedagogical field of Problem Based Learning, which is around as long as personal computing.
https://en.wikipedia.org/wiki/Problem-based_learning
In PBL the teacher adopts a constructivist approach - supporting, guiding, and monitoring the learning process as opposed to delivering a defined curriculum via lectures or seminars.
Agentic AI is arguably a better fit for this as it can scale infinitely to monitor student progress, offer timely feedback on design choices, and adjust difficulty dynamically based on how the student interacts with the problem.
Your main contention is one I'd broadly agree with - that use of Agentic AI for tutoring abdicates intellectual agency, allowing the AI to perform the critical synthesis and analysis that the student should be doing themselves for learning to occur.
The solution, however, is clear: guardrail the AI to promote core pedagogical principles rather than replace learner cognition by mandating things like instructional friction and the strategic fading of AI support as students build competence.
As explored in the paper I link below, by balancing proactive scaffolding with necessary and beneficial cognitive challenges, AI can preserve the productive struggle essential to effective learning.
https://arxiv.org/html/2606.04543v1
(A final thought: have a look at the current field of companies who specialise in turning training materials into engaging interactive experiences for the likes of Compliance and Security training. This is a corporate field now being automated and democratised for use by the average student in Academic pursuits in an on-demand fashion. Appropriate AI tutoring is basically the same concept.)
As a parent I agree with you, but watching other kids get a leg up because their parents continue to jump in and save them. And your own get the double harsh reality of learning failure and then being punished for it through loss of placement and status. It's tragedy of the commons since everyone must pass no one can fail.
> Teaching our kids how to leverage AI is something parents should invest in. Its part of a broader education landscape.
The same was said for laptops and tablets. Now there is a push to remove them from the curriculum. Having them meant the students didn't retain anything because they were distracting. I feel using AI in place of pedagogy will have similar results. Why bother learning to retain any information when AI knows everything and can recall it in a split second.
AI has its own benefits but its really a bad idea to use it in education as a primary source. LLMs have lots of information, reasoning ability, however they have their own limitations and by the nature these limitations just amplify.
Few days ago my son was working on a problem which asked if square is a rectangle. Turns out his class teacher and external tutor (who was using AI) had different opinions on it. My wife consulted AI as well and she also came to the conclusion that square is not a rectangle cause AI told her so, AI told the same answer to external tutor. I understand that the context matters and if one probes AI more with additional context it may come up with correct answer, but this depends on the assumption that the person asking AI for something already knows the answer.