Emotion, Identity & Creativity 2025

This page summarises findings from the Human Clarity Institute’s Emotion, Identity & Creativity 2025 dataset, based on 507 valid responses. The research examines how AI influences expression, identity, and the meaning people experience in creative work.

The dataset captures how people experience a shift in creative processes — including improvements in clarity of expression, changes in perceived originality, and how meaningful work feels when AI is involved.

View the Emotion, Identity & Creativity 2025 Dataset

Construct tags: Meaning Coherence · Identity Stability

What the data shows

Four signals stand out in this dataset: AI is widely experienced as improving clarity of expression, many describe a tension between clarity and meaning, creative work is sometimes perceived as less original, and AI influences how some people see themselves and their abilities.

66%

AI helps ideas come out more clearly

Clearer or more fluid expression is reported when AI tools are used.

51%

Creative work can feel easier but less meaningful

AI-assisted creative work is described as easier, but sometimes less meaningful.

42%

Originality concerns are evenly split

Creative work is experienced as less original with AI involvement by a sizeable group, while a similar share disagree.

38%

AI influences how people see themselves

Self-perception and perceived abilities are influenced by AI use for a substantial minority.

Together, these findings suggest that while AI can enhance clarity and expression, it also introduces a tension where ease may come at the cost of perceived meaning and originality.

By the numbers (from HCI data)

41%

Meaning of tasks is actively negotiated

AI influences how meaningful certain tasks or activities feel for a substantial minority.

34%

Clarity gains and meaning loss occur together

Both clearer expression and reduced meaning in AI-assisted creativity are reported together.

Patterns observed in the data

Clarity and meaning can move in opposite directions

Many people report clearer expression when using AI, but this clarity is not always accompanied by a stronger sense of meaning.

Ease can reduce perceived ownership

When creative tasks become easier, some respondents report a reduced sense of authorship or connection to the work.

Identity is influenced for a meaningful minority

AI use is associated with changes in how some people perceive their own abilities and creative identity.

Creative work is being reinterpreted

The data suggest that people are actively renegotiating what counts as meaningful or “real” creative work in AI-assisted environments.

Methodology

This dataset forms part of the Human Clarity Institute’s Human–AI Experience research programme, examining how AI tools influence emotional experience, identity perception, and creativity in everyday use. The study uses a cross-sectional online survey design and focuses on descriptive patterns in how people experience AI-assisted thinking, expression, and meaning-making.

Data were collected on 19 November 2025 via the Prolific research platform from adults across English-speaking countries. Participants provided explicit informed consent for anonymised data publication as part of HCI’s open research programme.

Sampling & participants

  • Clean dataset: 507 valid responses
  • Countries: United Kingdom, United States, Canada, Australia, New Zealand, Ireland
  • Eligibility: Fluent English
  • Recruitment platform: Prolific

Participants were recruited using platform screening filters. The resulting dataset should be interpreted as a non-probability convenience sample and is not intended to represent national populations.

The cleaned dataset, variable dictionary, and reuse terms are publicly available through the HCI dataset repository: Emotion, Identity & Creativity in the Age of AI 2025 Dataset →

Data integrity

All percentages reported on this page are calculated from valid responses in the cleaned dataset (n = 507). Unless stated otherwise, summary percentages on this page use the 7-point agreement scale, with values of 5–7 treated as agreement. Percentages are rounded to the nearest whole number for readability.

Some figures use different thresholds where the wording makes this explicit, including disagreement-based findings in the questions section. The co-occurrence pattern refers to respondents meeting the stated threshold on both items simultaneously. Minor differences between totals may occur due to rounding.

This dataset is exploratory and descriptive in nature. It does not support causal inference and results should be interpreted as observed patterns within the survey sample.

This dataset is released as open research to support transparent analysis of emotional experience, identity perception, and creativity in AI-enabled environments.

Suggested citation:
Human Clarity Institute. (2025). Emotion, Identity & Creativity in the Age of AI 2025 (Dataset). Human Clarity Institute.
DOI: https://doi.org/10.5281/zenodo.17653906

Data use and reuse terms are outlined in our Data Use & Disclaimer.

Explore further analysis on Human Clarity Insights, or browse the full collection of HCI research reports.