June 2026 · 1,000 respondents
Consumers are skeptical of humanoid robots, but familiarity almost completely reverses that skepticism. 40% of respondents hold negative attitudes toward humanoid robots while 33% are positive and 27% are neutral.
But attitudes split sharply along one line: experience.
Among the 70% who have never interacted with a robot, negatives outnumber positives two to one (47% vs. 23%). Among the 7% who interact with robots frequently, 88% are positive, including 57% "very positive." That group's average purchase intent (75 out of 100) is nearly triple that of the never-interacted group (28).
Money matters too, but differently in each country. In the UK, attitudes and purchase intent climb steadily with household income: half of respondents earning £70,000+ are positive about humanoids (vs. 34% of those under £20,000), and their purchase intent of 49/100 is the highest of any income group in the survey. In the US, income shows no clear gradient: the lowest earners (under $25,000) are actually the most positive American group, and attitudes are essentially flat from $50,000 up.
The reality: people expect humanoid robots to arrive whether they like them or not. The median respondent expects them to be a common sight in public within 10 years, and 71% say within a decade. But today, the majority remains unconvinced they'll be safe, necessary, or beneficial.
Market
Age group
Income
US: Low <$50k · Mid $50–99k · High $100k+ · UK: Low <£25k · Mid £25–59k · High £60k+
Sex
n =
1,000
Key metrics · All respondents
Comfort with robots
3.1 / 5
avg score
Likely to purchase
36%
avg likelihood
Would recommend
3.5 / 10
avg score
Expect mainstream in
10 yrs
median estimate
How respondents describe their general attitude
n = 1,000
Rated on a 1–5 scale from very uncomfortable to very comfortable
n = 1,000
Percentage of respondents who selected each concern (multi-select)
n = 1,000 respondents (multi-select)
Respondents rated their likelihood to purchase a humanoid robot on a 0–100 scale
n = 1,000
Importance ratings for key attributes — darker = more important
Appearance
Voice & communication
Task ability
Learning & adaptation
Respondents ranked 5 use cases from most to least preferred — this shows who picked each as their #1
Percentage of respondents who ranked this as their top priority
Would respondents recommend humanoid robots to others? Scored 0–10 and grouped into NPS categories
n = 1,000
Average position on three bipolar scales (1–5)
Respondents rated each statement on a 1–5 scale. The marker shows the average response.
Have respondents previously interacted with a humanoid or service robot?
n = 1,000
When do respondents expect humanoid robots to become common in everyday life?
median estimate
mean (capped at 100)
n = 999 · extreme outliers excluded from mean
Key takeaways
The market for humanoid robots is not yet won or lost. The largest attitude bloc is neutral, and even skeptics expect humanoids to become part of public life within a decade.
The strongest lever in the data is exposure. Every increment of real-world contact is associated with dramatically warmer attitudes and higher purchase intent. For companies commercializing humanoids, that argues for putting robots where people can encounter them like retail, hospitality, and public demonstrations, rather than relying on marketing to overcome concerns about safety and job displacement, which remain the two biggest worries.
Methodology
Online survey of 1,000 adults (600 US, 400 UK) conducted June 23, 2026 via Pollfish.
Figures are unweighted counts of actual responses. Applying Pollfish's demographic weights shifts headline figures by no more than approximately two percentage points and does not change the direction of any findings.
Income bands exclude the approximately 3% of respondents who preferred not to answer.
"Positive" combines somewhat positive and very positive responses. "Negative" combines somewhat negative and very negative responses.
Net Promoter Score (NPS) is calculated as the percentage of respondents scoring 9-10 minus the percentage scoring 0-6 on the 0-10 recommendation scale.
Segment
Market
Age group
Income
US: Low <$50k · Mid $50–99k · High $100k+
UK: Low <£25k · Mid £25–59k · High £60k+
Sex
n =
1,000
respondents