Original research/Report 1.0

Bob vs. Long Hair: What People Actually Try

Bobs were the second-largest style family in WigTryAI's 10,000-generation dataset at 20.5%, and long hair led the length dimension at 34.7%. Measured side by side, the two numbers answer different questions — one about silhouette, one about length — and neither produced an extreme winner.

Methodology & limitations
Original researchBob statisticsHair length dataAI hairstyle try-on

Quick answer

The two numbers, one answer each

In WigTryAI's dataset of 10,000 completed hairstyle generation events, bobs were the second-largest style family at 2,047 generations (20.5%), and long hair at 20–24 inches led the length dimension at 3,470 generations (34.7%). These are not competing facts: the bob share describes a silhouette choice, and the length share describes how far people were willing to go. Both stayed away from the extreme — no bob reached 6% of all generation events, and the longest length band, 26–30 inches, ended up at 11.8%.

Bob family
2,047 events · 20.5%
Leading length
20–24 in · 34.7%
Longest band
26–30 in · 11.8%

Ask ten people "bob or long hair?" and you get a preference. Ask the dataset and you get two different answers, because the dataset records the two dimensions separately.

Bobs: A Family With No Single Winner

The 2026 AI Hairstyle Trends Report groups the 10,000 completed generation events into seven style families. Bobs ranked second at 2,047 events (20.5%) — but look at how that share is composed:

Bob style Generations Share of all generations
Wavy Lob 564 5.6%
Blunt Bob 537 5.4%
Curly Bob 373 3.7%
French Bob + Full Bangs 273 2.7%
Asymmetrical Bob 173 1.7%
Micro Fringe Bob 127 1.3%

No single bob made the top three of the whole dataset. The two strongest — Wavy Lob and Blunt Bob — together accounted for 1,101 events, or 11.0%. The bob family is large because it is diverse, not because one bob won. Six different silhouettes split 20.5% of the sample, and the family's strongest member is a lob — a bob that keeps more length and movement than the classic chin-length cut.

Long Hair: A Vote for Familiar Ground

Measure the length dimension separately and the picture is different. People clearly explored long hair more than anything else — but not the longest hair:

Length Generations Share
Long (20–24 in) 3,470 34.7%
Medium (14–18 in) 2,580 25.8%
Short (8–12 in) 1,810 18.1%
Extra Long (26–30 in) 1,180 11.8%
Extra Short (2–6 in) 960 9.6%

The most explored length band is the one most people would describe as "long enough to feel like a change, short enough to stay yourself." The extremities behaved differently: Extra Short (2–6 in) was the least-tried band at 9.6%, and Extra Long — the dramatic, waist-length territory — finished behind plain Short at 11.8%.

One Trend, Two Different Choices

Comparing the two dimensions makes the pattern sharper:

  • Bobs are a silhouette decision, not a "short hair" decision. The family includes lobs, classic bobs, curly bobs, and micro fringe bobs. Because most of these sit at or near the jaw or shoulder, the family captures a change in outline — how much of the face is exposed — not a plunge into short lengths.
  • Length exploration is a distance decision. People explored toward the familiar long band, not toward the extremes in either direction.
  • Diversity is the actual pattern in both. No bob exceeded 5.6% of all generation events; no length band exceeded 34.7%. Strong family share plus weak single-style share is the signature of broad exploration, not a single winning idea.

What the Data Does Not Say

These numbers are measured; the explanation is not. A generation is not a preference, and one person can generate many looks. Catalog structure matters too — a family with more variations accumulates more events. The bob and length shares describe exploration inside WigTryAI during the dataset snapshot, not a survey of what people want. The full methodology and limitations are in the source report.

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Cite this research

WigTryAI. (2026). 2026 AI Hairstyle Trends Report: What 10,000 Completed Try-Ons Reveal. Version 1.0. Published July 22, 2026. https://wigtryai.com/blog/ai-hairstyle-try-on-trends-2026

For online articles

According to WigTryAI's analysis of 10,000 completed hairstyle generation events, bobs were the second-largest style family at 20.5%, while long hair at 20–24 inches led the length dimension at 34.7%.

Key statistics for publishers

Bob family share

20.5%

2,047 of 10,000 generation events

Leading length band

34.7%

3,470 of 10,000 generation events

Longest length band

11.8%

1,180 of 10,000 generation events

Chart downloads

Hairstyle style families

Hair length distribution

Test the bob instead of arguing about it

The dataset cannot tell you which silhouette suits your face. Compare a lob, a blunt bob, and your current length on the same portrait, and let the preview, not the averages, make the call.

Preview bob vs long hair

FAQ

Is a bob more popular than long hair?

Not in the same way. In the dataset, bob styles were the second-largest style family with 2,047 of 10,000 generation events (20.5%), and long hair at 20–24 inches led the length dimension with 3,470 events (34.7%). The bob figure describes silhouette choices; the length figure describes distance from the scalp. They are separate dimensions and should not be quoted as competing numbers.

Which bob was most tried?

Wavy Lob, with 564 generation events (5.6% of the full sample), followed by Blunt Bob at 537 events (5.4%). No single bob style exceeded 6% of all generation events, so the family's 20.5% share is spread across six silhouette variations.

Did people try very short hair more than they tried bob cuts?

No. Short (8–12 in) and Extra Short (2–6 in) combined for 27.7% of generation events (2,770 of 10,000), with Extra Short alone at 9.6% — the least-tried length band. Bobs, by contrast, are a family of silhouettes that mostly sit around the jaw, lob, or collarbone, so the two are not directly comparable.

Are these bob and long hair statistics about what people actually wear?

No. They measure completed generation events inside WigTryAI — exploration activity, not adoption, satisfaction, or purchases. A generation is not a preference, and the dataset contains no survey responses, uploaded photos, or demographic data.

What denominator should I use if I quote these statistics?

Use 10,000 completed generation events as the denominator for all bob and length statistics. The full dataset is available as a downloadable aggregate CSV.

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