I'm so glad you asked: there is indeed!
Recent research published by Judy Hanwen Shen and Alex Tamkin at Cornell University has found that "[n]ovice workers who rely heavily on AI to complete unfamiliar tasks may compromise their own skill acquisition in the process." From the coverage in Ed Tech Innovation Hub:
The findings have implications beyond software development, particularly for education systems and professional learning environments increasingly adopting AI tools. The researchers argue that AI-enhanced productivity should not be assumed to translate into long-term competence, especially in settings where individuals are expected to supervise, verify, or correct AI-generated work.
The study also raises concerns about overreliance on AI in safety-critical or high-stakes domains, where human oversight depends on strong foundational skills. Without intentional learning design, AI use may reduce the very expertise needed to manage automated systems effectively.
The authors emphasize that AI can support learning when used intentionally, but caution that widespread adoption without structured pedagogical approaches could weaken skill development over time. They conclude that organizations and educators should focus not only on what AI enables people to produce, but on how it shapes the process of learning itself.
(emphasis added)
These are conversations that are badly, badly needed in education. They are absolutely not being had, in the mad rush to ensure it is adopted in classrooms.
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