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Neume data shows men lean on AI for love songs more than women

Sep. 25, 2026
By AI, Created 10:57 UTC, Sep 25, 2026, AGP -

New data from AI music platform Neume suggests men are more likely than women to use AI to say “I love you,” especially around Valentine’s Day and other gift-heavy moments. The gap is wider than the broader AI adoption gap and may reflect men’s greater difficulty putting emotions into words.

Why it matters: - Neume’s data points to a gender gap in emotional AI use, not just general AI adoption. - The pattern suggests men may be more likely to use AI when the message is personal, romantic or hard to write themselves. - The finding adds to a growing question around whether AI is changing how people express affection, especially in moments that carry social pressure.

What happened: - Neume analyzed about 187,000 songs created on its platform between February 2025 and September 2026. - In that sample, users wrote songs “for my wife” 2.3 times as often as “for my husband.” - Wives were named 2.5 times as often as mothers. - In February, people writing songs for wives outnumbered those writing for husbands nearly 4 to 1. - Around Mother’s Day, the ratio was 3 to 1. - On birthdays, the ratio was 3.4 to 1. - June, the month of Father’s Day, was the only month when the pattern reversed.

The details: - Neume found that prompts written for wives were about 30% shorter than prompts written for husbands. - More than a third of those prompts were under 200 characters. - The shorter prompts suggest many men gave the AI a simple sketch and let the system fill in the emotional language. - Abhinash Khatiwada, founder of Neume, said: “Men find it hard to put what they feel into words, and now something finds the words for them.” - Khatiwada added that many husbands used the music tool “to say what they couldn’t say out loud.” - Psychologist Ronald Levant uses the term “normative male alexithymia” to describe a socialized difficulty many men have putting emotions into words, especially attachment emotions. - Neume is an AI music generation platform that turns a few words or lyrics into a full song with vocals. - The product is available on iOS, Android and the web at Neume’s website. - Neume is operated by Neumosys LLC. - The company analyzed anonymized prompts from 186,769 songs created by 44,941 users. - Recipients were identified through explicit phrases such as “for my wife” and “for my husband.” - Comparisons are based on unique users. - Neume does not collect user gender. - Writer gender is inferred from the recipient named.

Between the lines: - The Neume data suggests the emotional burden of composing affectionate messages still falls unevenly, even when AI removes some of the work. - The February spike lines up with Valentine’s Day, when romantic messaging becomes more visible and more socially important. - The gap on Neume is nearly twice the general gender gap in AI adoption, which Harvard Business School research pegs at about 1.2 to 1. - In February, the Neume gap was more than three times larger than that broader adoption gap. - McAfee’s 2024 “Modern Love” survey found 45% of men were considering using AI to write a love letter for Valentine’s Day, up from 30% a year earlier. - The same survey found 57% of people would be hurt or offended to learn AI wrote their Valentine’s message. - That suggests AI-assisted romance may be common enough to consider, but still sensitive enough to hide.

What’s next: - Neume’s data points to a continued market for AI tools that help users draft emotionally difficult messages. - The trend may become more visible around holidays, anniversaries and birthdays, when romantic writing pressure peaks. - If the pattern holds, AI-generated affection may keep expanding fastest where people feel the most pressure to get the words exactly right.

The bottom line: - Men appear more likely than women to let AI handle the emotional writing, especially when the message is “I love you.”

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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