Hily Bets Against AI While 52% of Its Own Users Are Already Using It

Hily's own survey data contains the most damaging argument against Hily's own brand strategy. The company's August 2025 T.R.U.T.H. Report finds that 69% of Gen Z and 74% of Millennials believe AI makes dating less authentic. It also finds, in the same document, that more than half of those same users have already used AI to write their bios or conversation starters. Before you decide whether Hily has found a business model or just a marketing angle, sit with that contradiction for a moment. It tells you more about the current state of dating tech than any single feature announcement has in 18 months.

MTCH and BMBL are racing to layer AI across their products. Hily has planted a flag in the opposite direction. The small operator is betting that singles are ready to reject the bots they claim to hate, even while they're quietly using them to write their opening lines. That bet may be right about the culture and wrong about the behavior at the same time.

The High Intent Take

Hily has spotted a real tension in the market. The problem is that cognitive dissonance is harder to monetize than a genuine product mandate. Users rejecting AI in surveys while adopting it in practice doesn't signal demand for "human intelligence" features. It signals a tragedy of the commons, everyone wants to match with a real person; nobody wants to do the work of being one. The real question for Hily is whether philosophical differentiation translates to subscriber growth, or whether this is smart positioning from a smaller operator that cannot compete with MTCH and BMBL on features and has chosen to compete on values instead. Values-based positioning can build a real audience. Feeld proved that. But Feeld had a clear product proposition, non-monogamy and sexual exploration, not a philosophical stance dressed as a feature set.

The AI Paradox: Hily's Brand Bet Against the Current

Hily's counter-positioning arrives at a moment when AI integration has become standard at major platforms. Tinder introduced AI-powered photo selection and conversation prompts in late 2024. Bumble expanded its AI matching features in early 2025, citing personalization gains in its Q1 earnings call. Hinge has experimented with AI-generated date suggestions. For MTCH and BMBL, AI is the efficiency story Wall Street wants to hear, a way to improve engagement metrics without proportional headcount increases.

Hily's chief product officer Liubomyr Pivtorak told Mashable the company would use technology "where beneficial" but wouldn't replace "core human elements of connection." Dating coach Julie Nguyen framed the risk as AI diminishing "intuitive learning and personal growth" from authentic interactions. Both are defensible positions. Neither answers the operative question: is Hily actually removing AI from its product stack, or choosing not to discuss the parts that remain?

The T.R.U.T.H. Report also doesn't clarify whether the 1,559 respondents were a representative sample of the broader US dating market or self-selected from Hily's existing user base. If the latter, the findings reflect attitudes of people already predisposed toward Hily's positioning. That's useful product research. It isn't evidence of a mass-market shift that competitors should be worried about.

What Users Say Versus What They Do

The behavior-belief gap in Hily's data is the actual story here. Daters say they want authenticity, then open ChatGPT to write a "spontaneous" opener. They claim AI-written profiles would make a match less attractive, while simultaneously outsourcing their own bios to text generators. This isn't hypocrisy in the judgmental sense. It's a classic collective action problem. Everyone wants to match with a real person. Nobody wants to be the one putting in the work while everyone else has an AI polish their self-presentation.

That dynamic plays directly into the hands of platforms offering AI as a convenience layer. If half your potential matches are using AI to polish their profiles, you're at a disadvantage if you don't. The arms race logic is inescapable.

That's why MTCH and BMBL are leaning in rather than pulling back. The term "dating app fatigue" has appeared in seven BMBL earnings transcripts since 2022, and AI promises to reduce some of the specific friction points, low reply rates, dead-end matches, exhausting opener drafting, that produce that fatigue. Removing those tools risks making the experience feel even more effortful for users who are already stretched thin. Research shows that 53% of Gen Zers and 66% of Millennials would feel less confident on a real-life date after using AI to craft their messages, which adds another dimension to the paradox Hily is trying to occupy.

Whether This Is Positioning or Product

Smaller platforms have built defensible positions on values before. Feeld found a real audience by being explicit about non-monogamy and sexual exploration when Tinder was still pretending to be about soulmates. Thursday built a brand around once-a-week availability to counter endless swiping. Both found genuine cohorts, though neither threatened MTCH's market share.

Hily's challenge is that "human intelligence" is fuzzier as a product proposition than either of those. It's a philosophical stance dressed as a feature set, and philosophy requires translation into specific, measurable outcomes before investors or users treat it as a reason to switch platforms. The company will need to demonstrate higher reply rates, longer conversations, more dates, better retention, something concrete, or risk being categorized as the app that made dating harder in the name of authenticity.

The broader industry will be watching to see whether Hily's positioning attracts a meaningful cohort of AI-skeptic singles, or whether users continue to vote with their behavior rather than their survey responses. Those are two different markets, and only one of them is large enough to build a business on.

If Hily's anti-AI positioning does move the needle on DAU growth and paid conversion, expect MTCH and BMBL to introduce "authentic mode" toggles within six months. The majors can hedge both directions simultaneously. Hily cannot. That asymmetry is the real competitive risk in this strategy. The AI authenticity paradox isn't going away, the platforms that handle it best will be the ones that acknowledge the contradiction rather than pretending one side of the data doesn't exist.