Research Aims
AI in the Workplace 2026

Our proposed project will conduct a comprehensive research study to answer the following research questions and create persona profiles to dive deep into differences between AI users in the workplace:

What drives successful AI adoption at work?
What separates experimentation from real value?
What patterns exist across different types of users?
What obstacles prevent effective adoption?
What should people and organizations prioritize first?

These insights will be released to the public to give small businesses/contractors and sponsors an independent evidence base to answer AI-related questions with more rigor and optimize workflows.

Our Methodology

Data Sources

Quantitative survey
Qualitative interviews (stretch goal)
Social listening (stretch goal)

Sampling Criteria

N=3000 workers (full-time, part-time, self-employed) who
Must use a computer, tablet, or mobile device at least 50% of their workday

Limitations

Self-reported data
Cross-sectional design

Analysis Framework

Data-driven persona analysis using k-means clustering
Profiling AI personas by demographics and professional backgrounds
Develop composite score to measure AI readiness
Ranking obstacles to AI adoption

Deliverables

Comprehensive report on AI use trends and adoptability
Infographic series featuring AI Persona Profiles
Online assessment to classify people by AI persona
Online assessment to grade organization based readiness to adopt AI

Budget & Research Team Members ($60K)

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Research Aims AI in the Workplace 2026

Our proposed project will conduct a comprehensive research study to answer the following research questions and create persona profiles to dive deep into differences between AI users in the workplace: ​

What drives successful AI adoption at work?

What separates experimentation from real value?

What patterns exist across different types of users?

What obstacles prevent effective adoption?

What should people and organizations prioritize first?