How generative AI will impact people's everyday lives in 2025

A Harvard Business Review report analyzes how artificial intelligence is impacting people's self-discovery, personal management, and emotional well-being.

                                                                             

The use of generative artificial intelligence has evolved significantly in recent years, achieving a profound impact in both technical areas and emotional and personal aspects. According to a report published by Marc Zao-Sanders in the Harvard Business Review, new use cases in 2025 reflect a shift in how people apply this technology, now more focused on personal growth and self-realization.

The author indicated that the three main uses identified in the "2025 Top-100 Generative AI Use Case Report" are: therapy and companionship, personal life organization, and the search for purpose. These categories reflect a shift toward self-discovery and emotional well-being, with users turning to linguistic models to cope with trauma, manage their daily routines, and make meaningful decisions about their lives.

The report also reveals that 38 new entries have emerged in the list of the top 100 uses of AI compared to the previous year, indicating an ecosystem still undergoing rapid transformation. New applications also include improved self-learning, detailed trip planning, support for appealing fines, and personalized nutrition management.

Interest in these models has grown exponentially thanks to their ability to adapt to personalized and complex needs. OpenAI, for example, launched several unified models, while companies like DeepSeek and Grok have expanded the options in a competitive market. Google also introduced its podcast generator, NotebookLM, as part of a trend to diversify the tools offered by language models. As the article explains, AI increasingly "enables new forms of interaction, including integration with voice commands, making it possible to use it even while driving."

                                                                              

Use Cases: More Human and Emotional

In addition to traditional technical applications, generative AI models are increasingly being used for deeply human tasks, from processing emotions to improving personal organization. According to Zao-Sanders, a notable trend is that users are leveraging AI to “organize my life,” the second most popular use case in the 2025 ranking. One user commented: “I just asked [an AI model] to create a calendar for me to clean and organize my house before we have guests.”

On the other hand, the report emphasizes that “learning also remains a key category,” ranking fourth. An example of this is the testimony of a user who uses Chat GPT as a study guide for educational topics not fully covered by online courses: “This helps me reinforce what I'm learning, and so far it's been tremendously helpful.”

These changes also reflect an opening toward psychological support. In regions with limited access to mental health services, such as South Africa, large language models have become accessible alternatives for processing complex emotions. One user explained that these technologies "are accessible to everyone and can help, even if data security isn't a priority when your health is deteriorating."

                                                                        

 Emergence of Deeper Themes

The search for purpose and the enhancement of intellectual and emotional capabilities represent another crucial facet of using these tools, Zao-Sanders told Harvard Business Review.

 The third case in the ranking is “finding purpose,” a category in which users describe how they use AI to identify personal values, overcome obstacles, and foster self-development. This includes advice on structuring goals and reframing challenges.

 Additionally, the report shows how the technology can foster creativity and psychological exploration without fear of human judgment. According to Allie Miller, a Fortune 500 AI advisor, “The lack of judgment and unrestricted exploration make it an ideal breeding ground for big dreams and half-formed goals.”

                                                                               

A Complex Relationship Between Trust and Dependence

However, not everything is positive in the relationship between users and AI. According to the research, there is growing concern about overdependence on these technologies.

 Some users have admitted to feeling less willing to solve problems on their own: “I'm definitely becoming more dependent on it.I just turn to GPT instead of using my brain for a complex task.” But the study also records opposing views that celebrate how AI fosters deeper and more accessible learning.

 Meanwhile, in educational and professional sectors, generative AI raises concerns about its implications for academic training and critical thinking in young people. Parents and educators fear that using models to solve school assignments in seconds will limit the development of their cognitive skills.

 A recurring theme revolved around the impact of this technology on educational projects at the university level. According to the Harvard Business Review, many students turn to AI for “immediate, high-quality production of academic essays,” redefining the norms of traditional educational systems.

 More Sophisticated and Critical Users

 In 2025, users appear to demonstrate a more precise understanding of the limits of generative AI and its ability to adapt to different requirements. However, this approach is also combined with criticisms on issues such as data privacy. One user, quoted in the article, expressed disenchantment with the use of personal information by large tech companies: “My bank, my credit cards, my apps, even my food orders have my personal data.”

 On the other hand, an irony was highlighted among users' criticisms. Some felt that the memory restrictions on the models, due to the new policies, limit their effectiveness: “I think it's crazy to impose such strict memory storage restrictions,” Zao-Sanders explained in the report.

                                                                                     

What's next in the near future

According to the analysis presented by HBR, the horizons of this technology will continue to expand, both with new applications and with adjustments to address ethical and security concerns.

 Users are now demanding that AI models move beyond basic advisory services to take on more autonomous and agentic roles. An example of this ambition is some users' desire for AI to be able to perform specific tasks such as automatically canceling subscriptions, the report details.

 As generative AI models evolve, it seems undeniable that they are revolutionizing a wide range of sectors, from education to mental health. However, concerns about privacy and dependency highlight the importance of a balanced approach to their development. Over time, the debate will continue about whether these advances truly contribute to improving our capabilities or, on the contrary, create a gap in our intellectual independence.

 Marc Zao-Sanders concludes that, although AI development continues, its integration into everyday life remains marked by basic human needs for understanding, connection, and self-improvement. The study suggests that the most significant evolution comes not from technical advances, but from how people adapt technology to their lives.