Bumble was once heralded as a transformative force in the digital dating landscape. When it launched in 2014, it offered women a simple proposition: if you matched with a man, you had to make the first move. This core mechanic was designed to foster a safer, more intentional environment, directly challenging the chaotic and often aggressive hookup culture associated with platforms like Tinder by placing the power dynamic firmly in the hands of women.
Today, however, that original vision is being dismantled as the company prepares to move away from its defining features, including the swipe. This shift follows the earlier introduction of Opening Moves, which had already softened the app’s initial requirements. The company maintains that these changes are necessary to adapt to evolving user behaviour and to facilitate more meaningful connections, yet the industry-wide trend suggests a deeper struggle for survival.
“Bumble is in salvage mode,” says Luke Brunning, a philosopher who studies the ethics of technology and relationships. “They’ve already reorganised, restructured and cut jobs in response to declining revenue.” This assessment highlights the precarious position of the firm, which has seen its share price under sustained pressure and the number of paying users fall sharply over the past year. In a drastic effort to stabilize, the company cut about 30% of its workforce this year.
Brunning notes that Bumble is not an outlier in this trend. “It’s going to be fascinating to see whether they can weather it,” he says. “But they’re not alone: a lot of the major players are also in salvage mode, trying to figure out how to position themselves in a market that is increasingly fed up with them.” Research indicates that many users now engage with these platforms out of a perceived necessity rather than genuine excitement, leading to a pervasive sense of fatigue.
The online dating industry, estimated to be worth almost £10bn globally, is keenly aware of this. To combat the stagnation, major platforms are racing to integrate artificial intelligence. Grindr is transitioning into an “AI-first” platform, while Tinder is currently testing Chemistry, an AI-powered system aimed at mitigating swipe fatigue. Bumble itself has been developing an AI matchmaking assistant known as Bee to streamline the user experience.
Newer startups are taking more radical approaches by eliminating the swipe entirely. London-based Fate describes itself as an “agentic AI dating app.” Instead of browsing static profiles, users engage in interviews with an AI that identifies relationship goals and finds similarities with potential partners. This shift toward automation raises significant questions about the future of human intimacy in a digital age.
Adam Peacock, a researcher of technology and intimacy, argues that the industry is fundamentally misreading user objections. He points to an emerging cultural backlash against the intrusion of AI into personal lives, alongside concerns that conversations are being filtered through AI concierges. “The dating industry has turned intimacy into an enormous source of data,” Peacock says. “Dating apps can know where people live, what they look like, who they are attracted to, what they say to potential partners and, increasingly, how they behave.”
There is also a growing suspicion, particularly among Gen Z, that these platforms are not designed to foster genuine connections but are instead opaquely tweaked to monetize time spent on the app. This has led to cynical allegations that companies are deliberately profiting from the loneliness they claim to solve. Peacock suggests that these apps may eventually evolve into broader social media or lifestyle products rather than remaining dedicated dating tools.
Ultimately, the question remains whether these AI-driven iterations will genuinely improve the user experience or merely serve as a temporary facade for an exhausted model. Brunning remains skeptical of the current trajectory. “There can be ways of trying to do digital better, that doesn’t involve giving people AI tools to talk to each other with,” he says. He emphasizes that the critical point is that platforms cannot simply take a product that is out of favour, overlay it with AI, and expect it to function effectively.