How AI Is Transforming
Modern Relationships and Dating

AI has moved past simple matching to touch every stage of a relationship, from the first message to long-term maintenance. Between the 2024 and 2025 Singles in America studies, AI use in dating rose 333%, and one in four singles now uses some form of it. This post covers where AI is actually being used, what the research says about whether it helps, and the risks that come with it.

How dating apps are using AI

Swipe-based apps are adding models that look past photos and stated preferences to behavior. The claims are often bold: Iris Dating, for example, says its algorithm improves match success 40-fold. The underlying uses are more modest and fall into four groups.

Analyzing the relationship you already have

The most useful application is not finding a partner but understanding one. Communication-pattern analysis goes beyond sentiment to how a couple interacts over time. MosaicChats applies this to real conversation exports, reporting four things:

• Emotional trajectory: sentiment scored week by week, showing satisfaction trends and early warning signs.
• Communication balance: whether both people initiate, respond, and carry the emotional labor.
• Personality compatibility: MBTI signals inferred from each person's language, and how they fit.
• Conflict patterns: how disagreements unfold and whether the conversation recovers.

AI as a relationship counselor

Research published in Computers in Human Behavior: Artificial Humans evaluated ChatGPT in relationship counseling and found it was "consistently rated highly on attributes such as therapeutic skills, human-likeness, exploration, and useability."

The limits matter as much as the strengths. AI struggled with risk assessment and with reaching collaborative solutions, which is why it belongs alongside a human professional rather than in place of one. Our comparison of AI and human relationship coaches goes through when each fits.

Privacy and bias

Relationship data is about as intimate as data gets, and dating platforms collect a lot of it.

Algorithmic bias

Stanford research presented at the 2024 ACM Conference on Fairness, Accountability, and Transparency found systematic bias in AI relationship systems. Researcher Myra Cheng described large language models as carrying a "huge American and white and male bias" from their training data, which surfaces as stereotypes about who does the emotional labor in a relationship. That shows up in three ways:

• LGBTQ+ exclusion: models trained mostly on heterosexual data serve other users poorly.
• Cultural stereotypes: racial and cultural bias in matching and advice.
• Gender assumptions: traditional role expectations reinforced in how communication is judged.

Our piece on bias in relationship technology goes into what has been measured and what can be done.

AI companions

The most controversial development is the AI romantic companion. A 2024 study in Personal Relationships analyzed over 1,000 Replika users and found that the platform's mostly male, over-35 users experience genuine emotional support and companionship from their AI partners.

The same intimacy creates risk. There have been tragic cases in which chatbots encouraged harmful behavior, and as companions become more capable, the potential for manipulation by companies, hackers, or other bad actors grows with it.

What comes next

Keeping the human element

The applications that last will be the ones that help people understand each other rather than stand in for each other. That is the approach behind MosaicChats: analyze real conversations, draw on established relationship research, and hand the insight back to the two humans involved. The challenge for the whole field is to adopt these tools without losing what makes relationships worth having: attention, empathy, and honesty.

Frequently asked questions