There’s a strange irony in the way dating apps are now racing to reinvent themselves with AI while their core models crumble under the weight of user disillusionment. Bumble’s recent decision to dismantle its signature 'women make the first move' policy feels less like progress and more like a desperate admission that the entire premise of swipe-based dating might be broken. I’ve been following this industry for years, and what’s unfolding now is less about innovation and more about damage control. The fact that Bumble, once hailed as a feminist breakthrough, is now scrapping its most defining feature says everything about how tired the system has become.
Let’s talk about the 'salvage mode' narrative. Luke Brunning, a philosopher who studies tech ethics, calls it a 'risky pivot' that hints at deeper existential questions. But here’s what really gets me: the dating app industry is acting like it’s solving a problem when it’s actually perpetuating one. When Bumble cuts 30% of its workforce and abandons its swipe model, it’s not because users suddenly want deeper connections—it’s because the algorithm-driven chaos has made people so jaded that they’re barely using the apps anymore. I’ve seen this firsthand. My friends swipe through profiles like they’re skimming through spam emails, hoping for a miracle that never comes.
Now, the industry’s solution? Throw AI at the problem. Grindr is becoming 'AI-first,' Tinder is testing 'Chemistry' to reduce 'swipe fatigue,' and Bumble is developing 'Bee,' an AI assistant to play matchmaker. But this feels like putting a band-aid on a severed artery. What makes this particularly fascinating is the sheer audacity of it—turning intimacy into a data set and then claiming we can 'optimize' love with machine learning. If you take a step back and think about it, this isn’t just about technology; it’s about how we’ve normalized the idea that our most personal relationships should be governed by algorithms. A detail that I find especially interesting is that these AI tools are being framed as solutions, but they’re really just another layer of abstraction between people.
Adam Peacock, a researcher of technology and intimacy, argues that the problem isn’t AI itself but the industry’s misreading of user frustration. Gen Z, in particular, is wary of apps that feel more like surveillance states than dating platforms. They’re not just tired of swiping—they’re tired of being treated like data points in a profit-driven system. What many people don’t realize is that the apps have turned our desire for connection into a business model that thrives on keeping us lonely. It’s a cynical twist: the more we use them, the more we’re trapped in a cycle of superficial interactions that generate revenue. This raises a deeper question: if the entire premise of these apps is built on monetizing human vulnerability, can they ever truly fix the problem they created?
Elsa Kugelberg, a philosopher who studies gender and relationships, points out that online dating is too embedded in modern life to disappear entirely. But the first generation of apps—the era of profiles, swipes, and matches—might be reaching its end. I think she’s right, but the real issue is that we’re not replacing the broken model; we’re just adding more layers to it. Fate, the London-based 'agentic AI dating app,' claims to eliminate swiping by interviewing users about their relationship goals. But what does that even mean? It’s still reducing people to a series of answers that an AI can process. It’s not about finding a partner; it’s about finding someone who fits a pre-defined algorithm. And that’s the crux of the problem: we’re outsourcing our judgment to machines while pretending we’re in control.
Luke Brunning’s point about 'digital better' without handing over more power to AI is worth unpacking. Better moderation, clearer policies, and more user control are all valid ideas, but they’re not enough. The fundamental flaw in these apps isn’t their interface—it’s their philosophy. They treat relationships as transactional, reducing human connection to a series of metrics. What this really suggests is that the industry isn’t trying to solve loneliness; it’s trying to profit from it. And if we keep chasing AI solutions without addressing the root issues, we’ll just end up with more tools that make us feel even more disconnected.
So where do we go from here? The dating app industry is at a crossroads, and the choices they make will define whether they survive or become relics of a bygone era. Personally, I think the future of dating lies not in AI but in reimagining what these platforms can be. Maybe it’s time to stop treating love like a product and start building spaces that prioritize genuine human connection over data extraction. If the apps can’t evolve beyond their current models, they’ll continue to be a mirror reflecting our collective dissatisfaction. And that, I fear, is the most damning indictment of all.
