Category
Textual or Investigative
Description
Currently, research on generative AI's effect on the brains of those who use it is sparse. However, cognitive offloading, or the outsourcing of intellectual processes to technology or other people, is a well-known neurological phenomenon, and it is through cognitive offloading that we may begin to understand how generative AI affects mental processes. Cognitive offloading occurs frequently, and common examples include using a calculator, GPS, or driver-assist functions. Now, generative AI offers users a far more pervasive kind of cognitive offloading, in that entire mental processes once unique to human minds (such as problem-solving) may now be replicated and supplanted by technology. In doing so, generative AI poses unprecedented risk to users' independent cognitive abilities. Yet empirical research on this topic has progressed no further than a recent study conducted by the Massachusetts Institute of technology (MIT), which may suggest that brain interconnectivity in LLM users is lower than those who do not use LLMs ("Your Brain on ChatGPT," Kosmyna et al., 2025). This research seeks to reconcile cognitive offloading with the findings in this new study and demonstrate a tentative cause-and-effect relationship between cognitive offloading and lesser brain activity in generative AI usage.
Authentic vs. Artificial Intelligence: The Effect of Generative AI on Users’ Brains
Textual or Investigative
Currently, research on generative AI's effect on the brains of those who use it is sparse. However, cognitive offloading, or the outsourcing of intellectual processes to technology or other people, is a well-known neurological phenomenon, and it is through cognitive offloading that we may begin to understand how generative AI affects mental processes. Cognitive offloading occurs frequently, and common examples include using a calculator, GPS, or driver-assist functions. Now, generative AI offers users a far more pervasive kind of cognitive offloading, in that entire mental processes once unique to human minds (such as problem-solving) may now be replicated and supplanted by technology. In doing so, generative AI poses unprecedented risk to users' independent cognitive abilities. Yet empirical research on this topic has progressed no further than a recent study conducted by the Massachusetts Institute of technology (MIT), which may suggest that brain interconnectivity in LLM users is lower than those who do not use LLMs ("Your Brain on ChatGPT," Kosmyna et al., 2025). This research seeks to reconcile cognitive offloading with the findings in this new study and demonstrate a tentative cause-and-effect relationship between cognitive offloading and lesser brain activity in generative AI usage.
