A look at whether efficiency is the answer to a failing dating culture
There’s a product I always find interesting. Many people feel like they have to use it. They install it, delete it, reinstall it. I’ve barely heard a positive word about it. Even the people who get what they came for still complain about how much they hated being there, and swear they’ll never go back.
You probably already guessed from the title. It’s the dating app.
According to a Forbes survey, about 78% of users have experienced dating app burnout. The major dating apps like Tinder and Bumble have been losing paid subscribers for two years straight. In response, big companies and startups are betting on AI to win users back. Match Group, the parent company of Tinder and Hinge, signed an enterprise deal with OpenAI in 2024, as part of a $20 million-plus AI investment that year. Spencer Rascoff, Match Group’s CEO, claims AI will “change everything.”
It sounds promising. But is AI really going to save anyone from this dating game?
AI in dating apps
AI is already integrated into dating apps in ways many users don’t notice. Tinder’s Smart Photos feature, for example, quietly ranks your profile photos by swipe performance and automatically pushes the best-performing one to the top. Hinge uses an AI security feature that flags inappropriate language and prompts users with “are you sure?” before sending. Beyond that, some other new features have emerged:
AI dating coach
Apps like Amori and Rizz act as wingmen. Rizz, the most popular with 1.5 million monthly users, lets you upload a conversation and generate several response options (witty, formal, flirty, etc.) to copy and paste. People seem more comfortable with this kind of AI help because it feels like asking a friend for advice, except the friend is available 24/7.
AI compatibility predictors
Some apps believe similarity drives compatibility, so they use AI to score it based on factors like appearance, personality, and hobbies. SciMatch even claims it can predict personality by scanning faces, a method most scientists do not consider reliable.
AI clone of users
In 2023, a dating company called Volar launched. Users train an AI clone of themselves through a 5–10 minute chat (and can optionally upload their voice), then let it chat with other people’s clones. Users can monitor the conversation and request a real conversation if it goes well. “We skip a lot of the icebreaker stage,” said founder Mr. Chiang. “We call it starting on the second date rather than the first.” (Volar shut down in 2024 after failing to raise more funding.)
How users actually feel
Only 15% of people believe AI-powered dating apps will lead to more successful relationships. Women are especially skeptical — just 10% are positive, compared to 20% of men. The reasons are pretty obvious.
Lack of authenticity
Nearly half of dating app users are looking for long-term relationships, which means they want honesty and commitment. They usually lose trust or feel betrayed the moment they suspect AI is involved. Conversations start feeling like cheesy pickup lines and repetitive small talk.
Misrepresents people
A Boston University survey found that 60% of respondents believe most people lie on dating apps. AI training relies entirely on the data users provide, so if the input is inaccurate, the output will be too. Hallucinations make it worse. Most people who try AI clone apps report their clones inventing hobbies and interests. Having to constantly monitor and retrain your clone defeats the whole point. And it raises a bigger question: are you connecting with a real person, or with an AI’s interpretation of them?
Efficiency can make people more impatient
AI dating apps promise “error-free” dating. But sometimes efficiency is exactly the problem. People already complain about getting ghosted constantly, even when things seem to be going well, because there’s always another option a swipe away. Research shows that continued access to unlimited potential partners creates a “rejection mind-set.” Users grow progressively more dismissive, with the chance of accepting a match dropping by 27% from the first to the last profile viewed. AI lowers that cost even further. Why give someone a second chance if the algorithm already said they’re not your match?
Makes the experience more stressful
Many people already feel like products on display: the bio page reads like a product description, and being swiped left and right feels like getting tossed in or out of someone’s shopping cart. You have to figure out the best way to promote yourself, whether that’s a few cute selfies, photos with friends to prove you have a social life, or maybe a fishing or gym pic to show your hobbies. AI adds another layer of pressure, because now every piece of information becomes training data. It all has to be intentional and flawless.
AI also shapes your expectations. When it tells you someone is “perfect” for you, the hype builds before you’ve even met. If the in-person date doesn’t click, do you blame the algorithm, or do you turn it on yourself and assume something’s wrong with you?
The real reason AI can’t save dating apps
A 2023 study of 30 dating apps found that most rely on dark patterns and gamification to drive revenue — features users describe as manipulative and emotionally exhausting. Match animations release dopamine but are often followed by ghosting. Likes are blurred until you pay. Each swipe is a reward loop, and the unpredictability of match-or-rejection is what keeps users hooked.
None of this was designed for people who want to leave the app. It was designed for people who keep coming back. As one industry analysis put it, dating app fatigue is a structural failure of products optimized for engagement over connection. AI doesn’t solve the problems; it accelerates them.
Real, meaningful connection isn’t efficient, and it isn’t supposed to be. It takes time, discomfort, and vulnerability. Technology can smooth the process, but it can’t replace it.
Dating apps are probably one of the hardest products in the world to design well. They sit at the intersection of efficiency and something deeply personal, and there are countless variables deciding whether someone has a good user experience. Throwing AI at the surface without fixing what’s underneath is going to make the mess deeper.
Reference:
- Boston University College of Communication. (2025, March 11). Plenty of skepticism of AI in dating apps, especially among women, survey says. https://www.bu.edu/com/articles/plenty-of-skepticism-of-ai-in-dating-apps-especially-among-women-survey-says/
- Lufkin, B. (2024, October 30). Rizz. Time. https://time.com/7094844/rizz/
- MeasuringU. (2024). The UX of dating apps and websites (2024). https://measuringu.com/online-dating-benchmark-2024/
- Montoya, R. M., & Horton, R. S. (2013). A meta-analytic investigation of the processes underlying the similarity-attraction effect. Journal of Social and Personal Relationships, 30(1), 64–94. https://psycnet.apa.org/record/2013-02184-001
- Pendergast, C. (2024, December 9). Forbes Health Survey: 79% of Gen Z report dating app burnout. Forbes. https://www.forbes.com/health/dating/dating-app-fatigue/
- Perez, S. (2024, February 21). Match Group inks deal with OpenAI, says press release written by ChatGPT. TechCrunch. https://techcrunch.com/2024/02/21/match-group-inks-deal-with-openai-says-press-release-written-by-chatgpt/
- Pettersen, L., & Karlsen, F. (2023). Dark design patterns and gamification as the heart of dating applications’ business models. AoIR Selected Papers of Internet Research, 2023. https://doi.org/10.5210/spir.v2023i0.13478
- Pronk, T. M., & Denissen, J. J. A. (2020). A rejection mind-set: Choice overload in online dating. Social Psychological and Personality Science, 11(3), 388–396. https://doi.org/10.1177/1948550619866189
- urdesignmag. (2026, March 8). The death of the swipe: How dating apps lost their human connection. https://www.urdesignmag.com/death-of-the-swipe-dating-apps-ux-decline/
- van der Goot, M. J., Koubayová, N., & van Reijmersdal, E. A. (2024). Understanding users’ responses to disclosed vs. undisclosed customer service chatbots: A mixed methods study. AI & Society, 39(6), 2947–2960. https://doi.org/10.1007/s00146-023-01818-7
Can AI make your dating life better? was originally published in UX Collective on Medium, where people are continuing the conversation by highlighting and responding to this story.
