Report · AI & Tech

Nearly all Americans are unlikely to consider AI as a romantic partner

Reading

In a Verasight survey of 1,000 U.S. adults conducted May 11, 2026, 92% of Americans said they are unlikely to consider AI as a potential romantic partner. Including 88% who said not likely at all and 5% who said somewhat unlikely.

Few Americans said they are likely to consider it (8%), with 4% who said likely, 2% who said very likely, and 2% who said somewhat likely.

Topline

response scale

Topline scale

92% of Americans are unlikely to consider AI as a romantic partner.

If given the opportunity, how likely are you to consider AI as a potential romantic partner?

  • Not likely at all 87.6%
  • Somewhat unlikely 4.8%
  • Likely 4.1%
  • Very likely 2.0%
  • Somewhat likely 1.6%

2026 · base n 1,000 · +/- 3.3%

beliefs

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Methodology

Full methodology
Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting
Field dates
2026-05-11 → 2026-05-11
Base (unweighted)
1,000
Margin of error
+/- 3.3%
Module
beliefs

Source

  • 01
    Nearly all Americans are unlikely to consider AI as a romantic partnerreports.verasight.io/reports/spsp26

Citation

Verasight SPSP Omnibus Survey #2026-045, fielded May 11-11, 2026, N=1,000 US adults age 18+, +/- 3.3%.

https://reports.verasight.io/reports/spsp26#q-beliefs_technology_health-29

Verasight survey methodology

How Verasight conducts surveys.

This page describes the Verasight general survey contract, separate from how the Data Library packages it. Each wave's specific field dates, sample sizes, and module breakdown are listed in that wave's report.

Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting.
Population
US adults age 18+.
Sample design
Surveys are run as omnibus or single-topic waves. Omnibus waves are split into modules with their own respondent set, typically around one thousand respondents per module.
Field window
Each wave specifies its own field dates. Most omnibus waves field across roughly two weeks.
Weighting
Per-module weighting to CPS targets including age, race and ethnicity, sex, income, education, region, and metropolitan status.
Partisanship benchmark
Pew Research Center's NPORS benchmarking surveys, three-year running average.
Vote benchmark
2024 presidential vote population benchmarks.
Margin of error
Typically about plus or minus 3.4 to 3.6 percent per module at standard module sizes. Question-level MoE is recomputed when a base shrinks materially below the module baseline.
Reporting
Every wave is published as a standalone report at verasight.io/reports with full instrument and methodology.
Transparency
AAPOR transparency standards.

Wave-specific methodology, full weighting variable lists, and verbatim instrument text live in each report at verasight.io/reports.