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Research Paper | Information Technology | Volume 15 Issue 9, September 2026 | Pages: 908 - 915 | India
From Consumers to Fans: Can Frontier AI Models Earn the Loyalty Once Reserved for Idols?
Abstract: This paper begins with a moment the internet seemed to notice all at once: millions of people uploading an ordinary photograph and asking an AI model to show them living in the 1980s, then sharing the result the way one shares a cherished keepsake rather than a piece of software output. What people fell for in that moment was not the old photograph itself-nothing from 1985 was actually retrieved-it was the AI's sudden, convincing ability to hand a person back a recognisable version of themselves from a time they never lived through. That distinction is the starting point for the paper's real, strategic question: what actually turns a frontier AI model from something a person merely uses into something a person is genuinely a fan of, the way a listener stays loyal to two or three favourite artists for decades rather than swapping allegiance with every new release? The paper takes a hard look at whether the 1980s experience did real justice to the era, and finds that it largely did, for reasons that go beyond marketing. It then carries that lesson-built on identity, memory and a properly generous first taste-through nine familiar industries, before turning to newer and more personal ground: whether AI could help invent simple, evidence-backed habits for everyday wellbeing in the spirit of Japan's Interval Walking Training; whether it could learn to surface the exact memory, film or sporting moment that lifts a particular person's mood; and whether it could gently notice when someone is having a hard week and act as a bridge back to a better one. None of this, the paper argues, can or should stay free forever-fans have always paid for what they love, the way they pay for a concert ticket or a keepsake on the wall, provided the price feels like devotion rather than extraction. The paper closes by arguing that none of this is worth building unless it is priced fairly and built on the same quiet trust a person places in a bank-because a fan who has to worry about their own wallet, or their own privacy, is not a fan for long.
Keywords: Emotional AI, fan economy, AI and mental wellbeing, personalisation, human-AI trust, data privacy, nostalgia computing, frontier AI models
How to Cite?: S. Muralikrishnan, "From Consumers to Fans: Can Frontier AI Models Earn the Loyalty Once Reserved for Idols?", Volume 15 Issue 9, September 2026, International Journal of Science and Research (IJSR), Pages: 908-915, https://www.ijsr.net/getabstract.php?paperid=MR26915094843, DOI: https://dx.doi.org/10.21275/MR26915094843