In our increasingly online and AI-assisted world, artificial intelligence (AI) is rapidly becoming a central part of daily life. While AI can offer numerous benefits, its integration into our society also brings challenges that can significantly affect mental health and social dynamics. This article delves into the complex relationship between AI and mental health, exploring both its potential benefits and risks to families, communities and social interactions.
Impact on Families
From parenting to privacy, AI is reshaping the dynamics within households, influencing relationships and the mental well-being of family members.
Some studies report that AI can bring parenting challenges as AI-driven devices and content can influence children’s development. Research has shown that excessive screen time and exposure to AI-driven content can impact emotional and social growth in children (Radesky, 2020). Parents may struggle to set boundaries, resulting in increased stress and family tensions. The constant need to monitor technology use can also contribute to parental anxiety and feelings of inadequacy, affecting the mental well-being of both parents and children (Mind Help, 2023). There are also concerns that different generations adapt to AI at varying rates, creating a generation gap and potential communication barriers within families. Older adults often feel alienated by new technologies, causing friction with younger, tech-savvy family members (Pew Research Center, 2021). This generational divide can disrupt family cohesion, leading to feelings of isolation and frustration on both sides, impacting mental health (Pew Research Center, 2021).
Other evidence suggests that AI may lead to a decline in children’s social skills and emotional intelligence. For instance, a study conducted by researchers at the University of California, Los Angeles (UCLA) discovered that children who spent five days at a camp without access to screens demonstrated improved recognition of nonverbal emotional cues compared to their peers who had regular screen time (Radesky, 2020) (Northwood, 2023). This suggests that excessive AI-driven screen time may hinder social and emotional development, potentially leading to long-term effects on children’s mental health.
Despite these challenges, AI may enhance family connections. AI-powered video calling apps with real-time translation features can help multilingual families communicate more effectively, fostering a sense of belonging and support (Berman, Garcia, & Patel, 2023) (Joshi, 2023). AI can help promote social inclusion in some cases by creating opportunities for people with disabilities and other marginalised groups. AI-powered assistive technologies can help people with visual or hearing impairments to navigate their environment more easily, communicate with others, and access information more effectively. AI can be combined with virtual reality (VR) and augmented reality (AR) technologies to enable people to experience different cultures and perspectives in a more immersive and engaging way. By simulating real-world scenarios and environments, AI can help people to better understand and appreciate different cultures, religions, and ways of life (Joshi, 2023).
Impact on Communities
AI’s influence also extends to the wider community, which can have implications for mental health. Some evidence points to AI’s potential to facilitate robust support networks. AI-driven platforms offer access to online therapy, support groups, and resources, which can strengthen community resilience and mental health (Miller, Roberts, & Anderson, 2022). These tools help reduce isolation and provide critical support during difficult times. There is also a wealth of evidence around how AI can support the detection of mental health conditions as well as providing early intervention and support.
However, one area where there is growing concern about the impact of AI, is its potential to automate jobs, which poses risks for employment. Reports estimate that up to 800 million jobs worldwide could be displaced by automation by 2030 (McKinsey Global Institute, 2023). Job displacement due to automation can lead to long-term mental health issues, including stress, anxiety, and depression among affected workers. The financial instability and loss of purpose associated with job loss can exacerbate feelings of inadequacy, hopelessness and lower self-esteem (McKinsey Global Institute, 2023) (Khondoker, Rahman, Islam, & Rahman, 2024) particularly amongst workers more vulnerable to job loss, borne disproportionately by populations with fewer assets (Ettman & Galea, 2003). Despite this, there is also evidence to suggest that AI may benefit mental health through the creation of new entrepreneurial opportunities and access to capital previously unavailable (Ettman & Galea, 2003).
As well as potential unemployment, there are also concerns that AI may lead to AI dependency and loss of skills. Overreliance on AI for daily tasks might lead to a loss of essential skills and a sense of disconnection from manual processes (Institute for the Future, 2021) (Northwood, 2023). Such dependency can contribute to decreased sense of accomplishment and self-efficacy, negatively impacting mental health. The erosion of traditional skills can also lead to feelings of unfulfillment and decreased mental well-being (Institute for the Future, 2021). While AI has the potential to create new job opportunities, there’s a risk that those who are unable to adapt to the changing workforce may be left behind, leading to increased income disparities (Northwood, 2023). There is some concern that students may use AI to study / pass exams which may impair their educational progress and productivity (Khondoker, Rahman, Islam, & Rahman, 2024). However, other studies argue that AI may offer significant advancements to education, allowing personalised learning and intelligent feedback and assessment. In addition, AI-powered chatbots could offer students emotional support and access to mental health resources, providing coping strategies during study when required, even outside of regular counselling hours offered by traditional support services (Guerra, 2023). However other studies argue that the rapid advancement of AI may cause anxiety, particularly among adolescents who may become overly dependent on technology (Huang, Lai, Ke, Li, & Wang, 2024). Although AI offers potential benefits, such as alleviating emotional problems, more research is needed to understand its full impact on mental health (Bhatnagar & Gajjar, 2024).
Impact on Social Interaction and Loneliness
The concept of how AI will impact the way we interact with one another but also how it could be used to address issues such as loneliness, is an interesting concept and one that has been explored through several research studies.
The concept of friendship with AI has been explored extensively through television and films (e.g. Black Mirror and Her). While AI can help detect loneliness and offer assistance through chatbots, it’s uncertain if these interactions can replace genuine human connection. AI approaches can be used to detect loneliness through analyses of unstructured speech and better understand the experience of loneliness (Goel, Badal, Depp, & Subbalakshmi, 2024).
AI chatbots can act as an assistive tool to indirectly promote a sense of belonging and lessen feelings of loneliness (Pani, Crawford, & Allen, 2024). Chatbots like Harlie, designed to support autistic individuals, might help practice social skills (Stupple-Harris, 2021). Effective chatbots are also considered to be cheaper to resource than interventions predicated on in-person interaction (such as social prescribing or befriending) and in theory it would be possible to scale them to many millions of concurrent users (Stupple-Harris, 2021).
However, the debate continues on whether AI can truly alleviate loneliness or simply offer a temporary solution (Pani, Crawford, & Allen, 2024). Ethical concerns also arise about data privacy and the potential for biased AI interactions. Chatbots may be privy to extremely sensitive mental health information, and chatbot providers could potentially build detailed profiles on users (Stupple-Harris, 2021).
It is also argued (Stupple-Harris, 2021) that conversing with chatbots requires a reliable internet connection and access to an up-to-date device, and digital skills. This could create significant barriers to use and worsen the digital divide, particularly for older people or those with learning difficulties.
Whilst support from AI can be positive, some feel it doesn’t provide all the benefits of social support from others and entirely replacing in-person friendships with robot friendships could actually lead to greater loneliness (Pani, Crawford, & Allen, 2024) and diminish the ability to find real connections (Collins, 2023).
There are also some concerns that AI-powered content recommendations and social media algorithms can lead to digital addiction, where excessive online engagement undermines real-world relationships (National Institute of Mental Health, 2023). This addiction can exacerbate mental health issues such as anxiety and depression, disrupting life balance and overall well-being (National Institute of Mental Health, 2023).
Conclusion
The intersection of AI and mental health is complex, presenting both opportunities and challenges. While AI can enhance access to resources and support, it also introduces risks that can affect mental health and social dynamics. Balancing technology use with human connection, privacy, and equitable access is crucial for fostering a healthy and connected society. As AI continues to evolve, ongoing research and a nuanced understanding of its impacts will be essential in navigating its role in our lives.
Lindsey Stack 2025
Bibliography
Algorithmic Justic League. (2023). Ethical considerations in AI development. AJL.
American Psychological Association. (2023). The role of AI in mental health treatment. APA.
Berman, J., Garcia, S., & Patel, N. (2023). AI and family connectivity: Bridging the communication gaps.
Bhatnagar, A., & Gajjar, D. (2024). What are the effects of AI for decision making, workplace rights, transparency, surveillance, civil liberties and intellectual property?
Collins, L. M. (2023). Could AI do more harm than good to relationships, from romance to friendship? Retrieved from Deseret: https://www.deseret.com/2023/9/6/23841752/ai-artificial-intelligence-chatgpt-relationships-real-life/#:~:text=Because%20AI%20can%20be%20what,real%20relationships%2C%E2%80%9D%20Dugan%20said.
Electronic Frontier Foundation. (2022). Privacy concerns with smart home devices. EFF.
Ettman, C. K., & Galea, S. (2003). The Potential Influence of AI on Population Mental Health. PubMed. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690520/
Goel, W., Badal, I., Depp, B., & Subbalakshmi, L. (2024). Decoding loneliness: Can explainable AI help in understanding language differences in lonely older adults? Science Direct. Retrieved from https://www.sciencedirect.com/science/article/abs/pii/S0165178124003639
Hohenstein et al. (2023). Artificial intelligence in communication impacts language and social relationships. Nature. Retrieved from https://www.nature.com/articles/s41598-023-30938-9
Huang, S., Lai, X., Ke, L., Li, Y., & Wang, H. (2024). AI Technology panic - is AI dependence bad for mental health? A cross-lagged panel model and the mediating roles of motivations for AI use among adolescents. Dovepress. Retrieved from https://www.dovepress.com/ai-technology-panicis-ai-dependence-bad-for-mental-health-a-cross-lagg-peer-reviewed-fulltext-article-PRBM#:~:text=Overall%2C%20AI%20is%20beneficial%20in,can%20lead%20to%20emotional%20problems.
Institute for the Future. (2021). The Impact of AI on skill development and mental health. IFTF.
Joshi, N. (2023). How artificial intelligence can bring people together. Retrieved from BBN Times: https://www.bbntimes.com/technology/how-artificial-intelligence-can-bring-people-together
McKinsey Global Institute. (2023). The Future of Work: AI and job displacement. McKinsey & Company.
Miller, T., Roberts, J., & Anderson, H. (2022). AI driven social support networks. Social Support Quarterly.
Mind Help. (2023). The psychological impact of technology on parenting. Mind Help Journal.
National Institute of Mental Health. (2023). Technology and the Future of Mental Health Treatment. Retrieved from NIH: https://www.nimh.nih.gov/health/topics/technology-and-the-future-of-mental-health-treatment
Northwood, A. (2023). Is AI Destroying Human Connections? The Dark Side of Artificial Intelligence. Retrieved from Medium: https://medium.com/@alexnorthwood/is-ai-destroying-human-connections-the-dark-side-of-artificial-intelligence-31509d59a38c
Pani, B., Crawford, J., & Allen, K.-A. (2024). Can Generative Artificial Intelligence Foster Belongingness, Social Support, and Reduce Loneliness? A Conceptual Analysis. Springer Link. Retrieved from https://link.springer.com/chapter/10.1007/978-3-031-46238-2_13
Pew Research Center. (2021). AI and human enhancement: Americans’ openness is tempered by a range of concerns. Pew Research Center. Retrieved from https://www.pewresearch.org/internet/wp-content/uploads/sites/9/2022/03/PI_2022.03.17_ai-he-TOPLINE.pdf
Radesky, J. S. (2020). Advocating for a Child-Centered Digital Environment. EBSCO.
Rizvi, J. (2024). How AI Is Redefining Social Interactions In The Digital Age. Retrieved from Forbes.
Stupple-Harris, L. (2021). Should AI chatbots be used to address the nation’s loneliness problem? Retrieved from Nesta: https://www.nesta.org.uk/feature/tech-dock/