A survey of 3,000 single people in the UK revealed that 39% of them use smart chatbots to prepare personal profiles and draft romantic messages, amid a clear divide between those seeking efficiency and those clinging to genuine human connection.
Match Group survey results and The Guardian interviews on romantic chatbots
The tension between efficiency and authenticity and Match Group’s stance on bot-to-bot interaction
Digital privacy risks and the need for long-term studies
FAQs
Match Group survey results and The Guardian interviews on romantic chatbots
On October 31, 2026, at 13:00 Central European Time, corresponding to 16:00 Gulf Standard Time, the British newspaper The Guardian published original journalistic interviews with individuals using general-purpose chatbots to support their romantic relationships, alongside the results of a poll conducted by Match Group involving 3,000 single people in Britain that was released earlier in October. This publication represents a new social and consumer field report, noting that the survey itself was not conducted for the first time on October 31.
According to Match Group data, 39% of survey participants reported using artificial intelligence in one or more aspects of their dating and matchmaking lives. This figure jumped to 66% among Generation Z and 53% among millennials. These figures represent the results of an industry-commissioned poll of a sample of British singles, rather than a measurement of global adoption rates or independent proof that AI improves romantic relationship outcomes.
The interviewed individuals described using chatbots to set up profiles on dating apps, improve the phrasing of text messages, brainstorm personal compatibility, and evaluate whether a specific conversation contained red flags. Some used AI as a conversational coach when they felt anxious or stressed about communicating with a potential partner, while others discussed the ease of reviewing multiple conversations through a single tool.
The tension between efficiency and authenticity and Match Group’s stance on bot-to-bot interaction
The observed examples illustrate various activities that differ in their degree of reliance on machines; requesting text suggestions before writing a message maintains a greater level of direct human engagement compared to letting an intelligent agent write and send messages automatically without review. Furthermore, using AI to evaluate someone else’s private conversation raises fundamental questions about the other party’s knowledge and consent.
The Guardian reported that about a third of the surveyed British singles might consider ending a romantic date if they discovered their potential partner used AI to write messages to them. At the same time, more than a quarter of participants expressed admiration for the idea of smart assistants filtering potential partners by talking to each other on behalf of users before direct contact is made. However, Match Group Head of Trust and Safety Yoel Roth emphasized the company’s opposition to bot-to-bot dating, stressing the fundamental importance of direct human communication.
These contrasting responses reveal the ongoing tension between efficiency and authenticity in human communication; better-written texts may facilitate starting conversations, but they can conversely blur a person’s natural style of communication in reality. Additionally, model-generated advice may sound linguistically convincing without relying on sufficient evidence to understand the nature of the relationship, and a system that generally tends to agree with and humor the user may reinforce their preferred interpretation of situations rather than challenging them objectively.
Digital privacy risks and the need for long-term studies
The issue of privacy stands out as a crucial factor in this context, as users may upload private messages, photographs, profiles, or personal details concerning other parties to AI platforms. The appropriateness of processing such personal information depends on explicit consent, platform policies, and the technical protection controls available in the tools used.
The survey provides no scientific proof that chatbot-supported dating leads to more successful and stable long-term relationships; individual experiences and stories can illustrate everyday use cases, but they cannot prove a causal relationship or general representative results.
The importance of these data lies in the fact that artificial intelligence is becoming integrated into daily consumer decisions and intimate personal communication rather than just formal work environments, raising deep questions about authenticity, disclosure, trust, and individual autonomy. The next steps involve conducting independent longitudinal studies, adopting transparent survey methodologies, and providing scientific evidence on whether specific AI-supported activities improve or undermine users’ actual experiences.
FAQs
Question: What is the percentage of British singles who used AI in dating according to the Match Group survey?
Answer: The survey, which included 3,000 single people in Britain, showed that 39% of them used AI in their romantic lives, with the percentage rising to 66% among Generation Z and 53% among millennials.
Question: For what tasks do individuals use chatbots inside dating apps?
Answer: They use them to set up profiles, refine message wording, evaluate emotional compatibility, look for red flags in conversations, and practice dialogue to alleviate anxiety.
Question: How do survey participants view the writing of romantic messages by artificial intelligence?
Answer: About a third of participants stated they might end a relationship if they discovered the other party used AI to write their messages, while more than a quarter supported the idea of smart assistants pre-filtering matches.
Question: What are the most prominent risks associated with uploading romantic conversations to AI tools?
Answer: Risks include violating the privacy of the other party by sharing their messages and photos without consent, in addition to the possibility of the model providing biased advice that caters to the user’s desire without a true understanding of the relationship.
