Overview demonstrates generative AI's impact on physics education, highlighting benefits and challenges.
Generative AI offers various opportunities to improve physics education. However, there are also several non-obvious challenges when integrating generative AI into physics classes and lab courses, such as low cognitive activation, unreflected acceptance, and metacognitive laziness. In this overview, we present three examples for physics lab courses, in which generative AI integrated at different points into existing sequence of inquiry-based learning (<ns0:xref ref-type="bibr" rid="R5">Pedaste et al., 2012</ns0:xref>).
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Küchemann et al. (2026) studied this question.
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