Artificial Intelligence (AI) has rapidly become part of everyday learning. Tools such as ChatGPT can provide information, explain concepts, generate examples and support students throughout the learning process. While these tools offer significant advantages, concerns have emerged regarding overreliance on AI and its potential impact on independent thinking and problem-solving ability.
This report combines global adoption data with student survey responses to explore three key questions:
The analysis uses public AI adoption statistics together with responses from 557 university students regarding their experiences with AI-assisted learning.
The growth of AI adoption between 2024 and 2025 was remarkably rapid. Across the countries shown, the share of internet users reporting ChatGPT usage increased substantially within a single year.
Several countries experienced double-digit percentage point increases, highlighting how quickly generative AI tools transitioned from emerging technologies to mainstream digital tools. This rapid growth provides important context for understanding why AI is increasingly influencing educational environments worldwide.
Students most commonly reported using AI for obtaining information and explaining concepts. More than half of surveyed students indicated that AI is used as an information source, while conceptual explanations were the second most common use.
In contrast, learning-management activities such as planning study progress and tracking tasks were considerably less common. These findings suggest that students primarily view AI as a knowledge and explanation tool rather than a complete learning-management system.
Overall perceptions of AI were highly positive. Saving time received the highest average agreement score, indicating that students perceive AI as an effective productivity tool.
Collaborative learning, reduced cognitive burden and learning efficiency also received strong ratings. These findings suggest that students believe AI provides practical support during learning activities and can improve the efficiency of completing academic tasks.
The consistently positive ratings across multiple benefit categories help explain why AI adoption has become widespread among students.
A positive relationship is visible between AI dependency and reported benefits. Students who reported greater reliance on AI also tended to report higher benefit scores.
The upward trend shown by the regression line indicates that perceived value generally increases as dependence increases. Students who use AI extensively appear to experience greater advantages, including improved efficiency, convenience and support during learning activities.
This finding suggests that positive experiences with AI may reinforce continued use and reliance on these tools.
While students report substantial benefits from AI, increasing dependency may also be associated with potential learning concerns.
Students in higher dependency groups reported greater agreement with statements relating to reduced problem-solving ability. At the same time, these groups also reported the highest benefit scores.
This pattern suggests a potential trade-off. Students who rely heavily on AI appear to gain more benefits, but they may also perceive greater risks regarding the development of independent problem-solving skills.
Rather than suggesting that AI is harmful, the findings highlight the importance of balancing AI assistance with opportunities for independent thinking and active learning.
The findings demonstrate that AI has rapidly become an important part of modern learning. Global adoption has increased dramatically, and students primarily use AI to obtain information and explanations.
Survey responses indicate that students perceive substantial benefits from AI, particularly in saving time, improving learning efficiency and reducing cognitive burden. Furthermore, students who rely more heavily on AI generally report greater benefits.
However, higher levels of dependency are also associated with increased concerns regarding reduced problem-solving ability. These results suggest that while AI can be a valuable educational tool, its long-term effectiveness may depend on how it is integrated into learning practices.
Future educational approaches should focus on encouraging students to use AI as a support tool while continuing to develop independent reasoning, critical thinking and problem-solving skills.