Report · AI & Tech

Buying an Optimus-like robot assistant remains unlikely

Reading

In a Verasight survey of 1,000 U.S. adults conducted in August 2025, 73% of Americans said they are unlikely to buy a robot assistant like Optimus. Including 50% who said extremely unlikely, 13% who said very unlikely, and 10% who said unlikely.

About one in ten said they are likely to buy one (11%), with 5% who said likely, 3% who said very likely, and 3% who said extremely likely. Another 16% said neither likely nor unlikely.

Topline

response scale

Topline scale

73% of Americans are unlikely to buy a robot assistant like Optimus.

How likely are you to buy a robot assistant like Optimus?

  • Extremely unlikely 49.5%
  • Neither likely nor unlikely 16.1%
  • Very unlikely 13.1%
  • Unlikely 10.0%
  • Likely 5.3%
  • Extremely likely 3.1%
  • Very likely 2.9%

2025 · base n 1,000 · +/- 3.2%

A

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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
2025-08-01 → 2025-08-06
Base (unweighted)
1,000
Margin of error
+/- 3.2%
Module
A

Source

  • 01
    Buying an Optimus-like robot assistant remains unlikelyreports.verasight.io/reports/verasight-quirks-omnibus-survey

Citation

Verasight Quirks Omnibus Survey, fielded August 1-6, 2025, N=1,000 United States adults, +/- 3.2%.

https://reports.verasight.io/reports/verasight-quirks-omnibus-survey#how-likely-are-you-to-buy-a-robot-assistant-like-optimus

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.