Artificial Intelligence and Cognitive Functions: How Patterns of Use Affect Human Thinking
Generative AI systems are increasingly integrated into everyday activities such as writing, information searching, idea generation, and decision-making. While these tools can make tasks more efficient, an important question arises: How does continuous use of artificial intelligence affect human cognitive abilities?
Current research does not provide a definitive answer to this question. The key issue is not simply the presence of AI, but how people use it.
Cognitive Offloading: Transferring Mental Work to Technology
In everyday life, people routinely transfer various mental tasks to external tools. Using a contact list instead of memorizing phone numbers, recording appointments in a calendar, or relying on GPS for navigation are simple examples. This process is known as cognitive offloading.
Such an approach can free up mental resources and allow people to focus their attention on more complex tasks. However, when a particular ability is consistently delegated to technology, a person may begin to use that ability independently less often. The association between long-term GPS use and navigation abilities provides an example of this mechanism.
Artificial Intelligence and Critical Thinking
One of the key differences between generative AI and traditional information technologies is that AI can take on parts of more complex processes, including critical thinking, problem-solving, and idea generation.
When a person researches a topic independently, they compare information, establish connections, and draw conclusions. AI, however, can present much of this process as a ready-made answer. As a result, learning may shift from active exploration toward more passive information consumption.
For this reason, when using AI, the key question should not only be “Is the answer correct?” but also “Do I understand how I arrived at this conclusion?”
Passive Use vs. Active Collaboration
The effects of interacting with AI depend significantly on how it is used.
In passive use, a person transfers a problem directly to AI and accepts the generated answer. In active use, the person first thinks independently and develops their own approach, then uses AI to obtain alternatives, additional information, or feedback.
This distinction is important for maintaining cognitive abilities. When AI completely replaces a person's thinking, opportunities to exercise certain cognitive skills may decrease. In contrast, when AI supports the thinking process, it can provide additional resources and allow people to focus on more complex problems.
How Does AI Change Creativity?
Artificial intelligence can generate numerous ideas, present different perspectives, and rapidly combine information. These capabilities can support the creative process.
However, creativity is not limited to combining existing information. Generating a different approach to a new problem, finding unconventional solutions, and moving beyond established frameworks are also important aspects of creativity.
Therefore, there is a meaningful difference between using AI as a tool to expand ideas and delegating the entire creative process to it.
AI in the Workplace: Skill Loss or Development?
In the workplace, AI can accelerate repetitive and time-consuming tasks, allowing people to devote more time to complex activities. However, the key issue is how the time gained is used.
If AI is used primarily to complete more work, the technology mainly increases productivity. If the time saved is invested in learning new knowledge, solving problems, and developing skills, AI can create additional opportunities for learning and professional development.
Research also suggests that people who are able to monitor and regulate their own thinking processes tend to use AI more purposefully.
Preserving Human Skills
A person's prior knowledge and experience also play an important role when using AI. Someone with expertise in a particular field can more easily evaluate AI-generated responses, identify errors, and distinguish weak arguments. A less experienced user, however, may be more likely to accept information provided by AI as accurate.
Therefore, particularly in learning environments, AI should support rather than replace the core skills of the individual.
The impact of artificial intelligence on human cognitive abilities depends less on the technology itself than on how it is used.
When AI performs certain mental processes on behalf of a person, opportunities to exercise those abilities may decrease. On the other hand, technology can free up time and cognitive resources, allowing people to devote themselves to more complex thinking and learning activities.
From this perspective, the most balanced approach is to use AI not as a replacement for human thinking, but as a tool that supports cognitive activity.
When people think independently first, use AI for alternatives and feedback, verify the information provided, and invest the time saved in developing new skills, technology does more than simply accelerate work — it can also expand opportunities for human learning and development.