The AI Dating Mirage

The online dating industry is at a crossroads, with its desperation to stay relevant driving it to rely on artificial intelligence. Bumble’s decision to abandon its signature feature – allowing women to make the first move – marks a significant shift in the company’s strategy. This change is part of a deeper issue: the industry’s inability to adapt to changing user behavior and address the core problems that have plagued online dating from the start.

The rise of Bumble and other popular dating apps was predicated on providing a safer, less intimidating experience for women. By giving them control over who could initiate contact, these apps promised to revolutionize the way people met. However, as Luke Brunning, a philosopher who studies the ethics of technology and relationships, notes, “Bumble is in salvage mode.” The company’s decline in paying users and its struggles to maintain a sustainable business model are clear signs that the industry’s formulaic approach – swipe, match, message – has reached its expiration date.

The temptation to turn to AI as a solution is understandable. However, this simplistic thinking ignores the complex issues at play. Adam Peacock, a researcher of technology and intimacy, points out that the industry’s reliance on data has created a culture of monetization, where loneliness is turned into profit. Dating apps can know intimate details about users – including their preferences, behavior, and location – raising fundamental questions about consent and control.

As Peacock notes, there’s a growing cultural backlash against allowing AI to infiltrate our intimate lives. This isn’t just about the potential for machine-generated connections; it’s also about the way these apps are designed to keep people hooked, often at the expense of meaningful relationships. Many users feel they’re being forced to use dating apps because they’re necessary, rather than enjoyable, highlighting the industry’s failure to innovate.

The introduction of AI-powered systems like Chemistry on Tinder and Bee on Bumble is being touted as a solution to these problems. However, it’s unclear whether this is more than just a desperate attempt to cling to relevance in a market that’s increasingly disillusioned with the apps’ ability to deliver genuine connections. Grindr’s transition into an “AI-first” platform raises questions about user agency and how AI will be used to facilitate – rather than control – relationships.

Brunning’s observation that you can’t simply put AI on top of a product that’s out of favor and expect it to work is spot on. The industry needs to take a step back and rethink its approach, rather than relying on a quick fix from technology. As Brunning suggests, there are better ways to improve online dating without sacrificing user control – through moderation, clearer policies, and more nuanced presentation of user profiles.

The future of online dating is uncertain, but one thing is clear: the industry’s reliance on AI will only serve to mask its underlying problems rather than solve them. As we move towards a world where machines make connections on our behalf, it’s essential to ask whether this is truly what we want – or if we’re just trading one set of problems for another.

The online dating industry has been slow to adapt to changing user behavior and the evolving needs of its customers. Its solution – turning to AI as a panacea – will only lead to more problems, not fewer. The question now is whether this sector will learn from its mistakes or continue down a path that prioritizes profits over people.