AI’s Surprising Role: Emotional Support Gains Ground Over Productivity
Artificial intelligence is increasingly being used for emotional support, a trend that has outpaced its traditional role in boosting productivity, according to a 2025 global study by Kantar. The research, which surveyed over 10,000 consumers across 10 countries, reveals that 54% of respondents have used AI tools for emotional or mental well-being purposes, challenging the assumption that AI’s primary value lies in efficiency gains.
AI as a Companion for Mental Well-Being
The Kantar report, titled *The Rise of AI as a Source of Emotional Support*, highlights a shift in how consumers engage with artificial intelligence. While productivity remains a common use case, the data shows a growing reliance on AI for emotional guidance. Personal coaching or motivation (29%) and mental well-being support (25%) are the most frequently cited applications, indicating a demand for tools that offer encouragement, reflection, or a nonjudgmental listening space.
This trend is particularly pronounced among younger generations. Thirty-five percent of Gen Z users and 30% of Millennials report using AI for emotional support, compared to just 14% of Gen X and 7% of Boomers. The study suggests that younger users, who are more familiar with conversational AI, are more open to leveraging these tools during moments of stress or personal growth.
Trust and the Limits of Machine Empathy
While AI’s role in emotional support is expanding, questions about trust and empathy persist. The Kantar report notes that consumers are cautious about relying on machines for deep emotional connections. “AI can provide a listening ear or practical advice, but it lacks the nuanced understanding of human empathy,” said Steve Wigmore, a senior director at Kantar. “Users are experimenting with these tools, but they remain wary of their limitations.”
This tension is reflected in the study’s findings. Although 54% of respondents have used AI for emotional purposes, many acknowledge that it is not a substitute for human interaction. The research underscores a broader debate about the ethical implications of AI in mental health, including concerns about data privacy and the potential for overreliance on algorithmic solutions.
What This Means for the Future of AI
The shift toward AI-driven emotional support signals a broader evolution in how technology is integrated into daily life. As AI systems become more conversational and adaptive, their ability to address emotional needs will likely improve. However, this raises critical questions about accountability and the boundaries of machine-driven care.
For businesses and developers, the findings highlight an opportunity to design tools that prioritize user well-being without compromising transparency. OpenAI, for instance, has emphasized content provenance and safety measures in its latest updates, including features like “Trusted Contact” and enhanced context recognition in ChatGPT. These efforts aim to build trust while addressing the ethical challenges of AI’s expanding role.
Looking Ahead
The Kantar study suggests that AI’s emotional support capabilities will continue to grow, but their success will depend on addressing user concerns. As the technology advances, stakeholders must balance innovation with responsibility, ensuring that AI serves as a complement to human connection rather than a replacement.
For now, the data is clear: AI is no longer just a tool for productivity. It is becoming a part of the emotional infrastructure of modern life—and the conversation about its role is only just beginning.