AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking

Source: Societies (Gerlich) · 2025-01-03

Abstract: The proliferation of artificial intelligence (AI) tools has transformed numerous aspects of daily life, yet its impact on critical thinking remains underexplored. This study investigates the relationship between AI tool usage and critical thinking skills, focusing on cognitive offloading as a mediating factor. Utilising a mixed-method approach, we conducted surveys and in-depth interviews with 666 participants across diverse age groups and educational backgrounds. Quantitative data were analysed using ANOVA and correlation analysis, while qualitative insights were obtained through thematic analysis of interview transcripts. The findings revealed a significant negative correlation between frequent AI tool usage and critical thinking abilities, mediated by increased cognitive offloading. Younger participants exhibited higher dependence on AI tools and lower critical thinking scores compared to older participants. Furthermore, higher educational attainment was associated with better critical thinking skills, regardless of AI usage. These results highlight the potential cognitive costs of AI tool reliance, emphasising the need for educational strategies that promote critical engagement with AI technologies. This study contributes to the growing discourse on AI’s cognitive implications, offering practical recommendations for mitigating its adverse effects on critical thinking. The findings underscore the importance of fostering critical thinking in an AI-driven world, making this research essential reading for educators, policymakers, and technologists.

Introduction. The advent of artificial intelligence (AI) has revolutionised various aspects of modern life, from healthcare and finance to entertainment and education. AI tools, encompassing everything from virtual assistants and recommendation algorithms to complex decisionsupport systems, have become integral to daily functioning, promising enhanced efficiency, personalised experiences, and unprecedented access to information. However, alongside these benefits, there is growing concern about the potential cognitive and social impacts of AI on human users, particularly regarding critical thinking skills. Critical thinking, defined as the ability to analyse, evaluate, and synthesise information to make reasoned decisions, is a fundamental cognitive skill essential for academic success, professional competence, and informed citizenship [1]. It involves various cognitive processes, including problem-solving, decision-making, and reflective thinking, which are crucial for navigating complex and dynamic environments. The increasing reliance on AI tools for information retrieval and decision-making raises questions about how these technologies influence users’ critical thinking abilities. The dual-edged nature of AI in cognitive development has been a focal point in recent research. AI tools can enhance learning outcomes by providing personalised instruction and immediate feedback, thus supporting skill acquisition and knowledge retention [2,3]. However, growing evidence shows that over-reliance on these tools can lead to cognitive offloading. Cognitive offloading occurs when individuals delegate cognitive tasks to external aids, reducing their engagement in deep, reflective thinking [4,5]. This phenomenon is particularly concerning in the context of critical thinking, which requires active cognitive engagement to analyse and evaluate information effectively. Cognitive offloading, as described by Risko and Gilbert [6], involves using external tools to reduce the cognitive load on an individual’s working memory. While this can free up cognitive resources, it may also lead to a decline in cognitive engagement and skill development. The pervasive availability of AI tools, which offer quick solutions and readymade information, can discourage users from engaging in the cognitive processes essential for critical thinking. For example, Sparrow et al. [5] demonstrated that the availability of information through search engines can affect memory retention and the inclination to process information deeply. In educational settings, integrating AI tools has shown promising results and potential drawbacks. Adaptive learning platforms and intelligent tutoring systems have been praised for their ability to tailor educational experiences to individual student needs, thereby enhancing learning outcomes [2,3]. Other studies did not observe any significant impact of AI in education [7]. However, there is also concern that such tools might reduce students’ engagement in critical thinking activities, as they might become accustomed to the ease and convenience of AI-provided solutions [8,9]. The potential negative impact of AI on critical thinking extends beyond educational contexts. In professional and everyday scenarios, the use of AI tools for decision-making and problem-solving can influence cognitive processes. For instance, automated decision-support systems in healthcare and finance streamline operations and improve efficiency, but might also reduce the need for professionals to engage in independent critical analysis [10]. This could result in a workforce that is highly efficient, yet potentially less capable of independent problem-solving and critical evaluation. Given these concerns, this study sought to explore the impact of AI tool usage on critical thinking skills with a particular focus on cognitive offloading as a mediating variable. This research aimed to provide a comprehensive understanding of the broader cognitive implications of AI tool usage by investigating how AI tools influence cognitive processes and the extent to which they encourage cognitive offloading. The research questions guiding this study were:

RQ1: How does the usage of AI tools impact critical thinking skills? RQ2: What is the mediating role of cognitive offloading in the relationship between AI tool usage and critical thinking?

Based on the research questions outlined above, we propose the following hypotheses:

Hypothesis 1: Higher AI tool usage is associated with reduced critical thinking skills.

Hypothesis 2: Cognitive offloading mediates the relationship between AI tool usage and critical thinking skills.

This study aimed to shed light on the broader cognitive implications of AI tool usage and provide actionable recommendations for mitigating potential negative impacts on critical thinking. Understanding these dynamics, stakeholders can develop strategies to balance the benefits of AI with the need to maintain and enhance critical thinking skills.

Related work. Critical thinking is a multifaceted cognitive process that involves the capacity to think clearly and rationally, understand logical connections between ideas, evaluate arguments, and identify inconsistencies in reasoning. This process is crucial for effective problemsolving, informed decision-making, and the acquisition of knowledge. Ennis [11] defines critical thinking as “reasonable reflective thinking focused on deciding what to believe or do”, highlighting its evaluative nature. Paul and Elder [12] describe it as the art of analysing and improving thinking, focusing on intellectual standards such as clarity, accuracy, and logic. Halpern [13] emphasises the practical application of critical thinking skills across different contexts, underscoring its real-world utility. Critical thinking is integral to cognitive development, enabling individuals to process information more effectively and engage in reflective thought. It enhances academic performance, problem-solving abilities, and informed decision-making [14]. Students with strong critical thinking skills tend to perform better academically, as they can understand complex concepts, analyse texts, and construct well-reasoned arguments [15]. Furthermore, critical thinkers are better equipped to solve problems systematically, evaluate evidence, and consider alternative solutions [16]. They are also less susceptible to manipulation by misleading information or cognitive biases, making them more discerning consumers of information [17]. Cognitive offloading refers to the externalisation of cognitive processes, often involving tools or external agents, such as notes, calculators, or digital tools like AI, to reduce cognitive load [6]. While cognitive offloading can improve efficiency by freeing up cognitive resources, it does not inherently imply a reduction in task engagement. In some cases, however, extensive reliance on external tools—particularly AI—may reduce the need for deep cognitive involvement, potentially affecting critical thinking. The mechanisms of offloading include external memory aids, digital tools, and social networks, which help individuals manage tasks and information without overwhelming their working memory. Digital tools, particularly AI-powered applications, can perform tasks such as calculations, data retrieval, and decision-making, thereby freeing up cognitive resources for more complex thinking. Social offloading involves delegating tasks to others or seeking advice and information from social networks, reducing the cognitive burden on the individual [15]. While cognitive offloading can enhance efficiency and reduce mental strain, it also affects cognitive development and critical thinking.

Method. This chapter outlines the comprehensive methodological approach employed in this study to investigate the impact of AI tool usage on critical thinking, with cognitive offloading as a mediating variable. A mixed-method approach was utilised, combining quantitative and qualitative techniques to provide a robust and nuanced understanding of the research questions.

A mixed-method design was chosen for its ability to integrate quantitative and qualitative data, offering a more complete perspective on the research problem than either method alone [32]. This design allows for the triangulation of data, enhancing the validity and reliability of the findings [33].

The study sample comprised 669 participants in the United Kingdom, of which 666 were considered valid. They were recruited through a combination of convenience and purposive sampling to ensure a diverse representation across age groups, educational backgrounds, and professional fields. The sample was promoted online in the UK on different social media platforms to attract a diverse sample. Participants were categorised into three age groups: 17–25 years (young), 26–45 years (middle-aged), and 46 years and older (older). This categorisation facilitated the examination of age-related differences in AI tool usage and critical thinking skills.

A structured questionnaire consisting of 23 questions was developed based on validated scales and existing literature to measure AI tool usage, cognitive offloading, and critical thinking skills. The survey included items from established instruments such as the Halpern Critical Thinking Assessment (HCTA) [1] tool and Terenzini’s self-reported measures of critical thinking [30]. The questionnaire was divided into several sections:

Semi-structured interviews were conducted with a subset of 50 participants to gain deeper insights into the experiences and perceptions regarding AI tool usage and critical thinking. The interview guide was designed to explore themes identified in the quantitative survey and to uncover additional contextual factors influencing cognitive offloading and critical thinking. Interviews were transcribed verbatim and subjected to thematic analysis [35].

Discussion. This study investigated the impact of AI tool usage on critical thinking skills, with a particular focus on cognitive offloading as a potential mediating variable. The research employed various methods, including ANOVA, correlation analysis, multiple regression, and random forest regression, to analyse data collected from a diverse sample of participants. The key findings indicate that higher usage of AI tools is associated with reduced critical thinking skills, and cognitive offloading plays a significant role in this relationship. Our findings are consistent with previous research indicating that excessive reliance on AI tools can negatively impact critical thinking skills. Firth et al. [24] and Zhang et al. [43] both highlight the potential for AI tools to enhance basic skill acquisition while potentially undermining deeper cognitive engagement. Our study extends this by quantitatively demonstrating that increased AI tool usage correlates with lower critical thinking scores, as measured by comprehensive assessments like the Halpern Critical Thinking Assessment (HCTA) tool. Halpern’s [1] work emphasises the importance of critical thinking in educational and professional contexts, and our results support the notion that reliance on AI tools may inhibit the development of these crucial skills. The negative correlation between AI usage and critical thinking observed in our study aligns with Halpern’s concerns about the overreliance on technology for cognitive tasks. Moreover, our results resonate with the insights from Gerlich’s [44] study on virtual influencers. This study highlights how AI-driven virtual influencers shape consumer behaviour and decision-making processes, potentially reducing the need for independent critical evaluation. The reliance on AI-generated content can diminish users’ critical thinking abilities, as they may accept information and recommendations without thorough scrutiny. The phenomenon of virtual influencers acting as trusted sources of information mirrors the trust participants in our study place in AI tools, leading to reduced critical engagement. Gerlich [18] provides valuable insights into how trust in AI tools influences cognitive offloading and decision-making. The findings suggest that as users develop greater trust in AI, they are more likely to delegate cognitive tasks to these tools, which aligns with our observation of increased cognitive offloading leading to reduced critical thinking. This trust creates a dependence on AI for routine cognitive tasks, thus reducing the necessity for individuals to engage deeply with the information they process. Increased trust in AI tools leads to greater cognitive offloading, which in turn reduces critical thinking skills. This cycle is exacerbated by the role of virtual influencers, who further reinforce the reliance on AI-generated content by acting as credible sources of information.

The role of cognitive offloading in mediating the relationship between AI tool usage and critical thinking is a novel contribution of this study. Cognitive offloading, as described by Risko and Gilbert [6], involves the delegation of cognitive tasks to external tools, thereby reducing the cognitive load on individuals. Our findings indicate that cognitive offloading significantly mediates the relationship between AI usage and critical thinking, suggesting that the reduction in cognitive load may lead to diminished opportunities for cognitive engagement and critical analysis. This aligns with Carr’s [4] argument in The Shallows, which posits that technology can create cognitive shortcuts that reduce the need for deep thinking.

Conclusion. The findings of this study illuminate the complex interplay among AI tool usage, cognitive offloading, and critical thinking. As AI tools become increasingly integrated into everyday life, their impact on fundamental cognitive skills warrants careful consideration. Our research demonstrates a significant negative correlation between the frequent use of AI tools and critical thinking abilities, mediated by the phenomenon of cognitive offloading. This suggests that while AI tools offer undeniable benefits in terms of efficiency and accessibility, they may inadvertently diminish users’ engagement in deep, reflective thinking processes. Younger participants who exhibited higher dependence on AI tools scored lower in critical thinking compared to their older counterparts. This trend underscores the need for educational interventions that promote critical engagement with AI technologies, ensuring that the convenience offered by these tools does not come at the cost of essential cognitive skills. Higher educational attainment was associated with better critical thinking skills, highlighting the role of education in mitigating the potential adverse effects of AI tool usage. These insights contribute to the growing discourse on the cognitive implications of AI, suggesting that educators, policymakers, and technologists must work collaboratively to foster environments that balance the benefits of AI with the development of critical thinking. Future research should explore strategies to integrate AI tools in ways that enhance rather than hinder cognitive engagement, ensuring that the next generation is equipped with the skills necessary to navigate an increasingly complex digital landscape. This study’s limitations include its reliance on self-reported measures and the potential for sample bias. Nonetheless, the findings provide a compelling case for ongoing research and dialogue on the cognitive impacts of AI. Through understanding and addressing these challenges, we can better harness the power of AI to support rather than supplant human intellect. The findings from this study open several avenues for future research.