Cheney Hamilton is a leading expert in Research, Analysis, and Design for Digital Human Resource Architecture (DHRA) and FusionWork™ at Bloor Research.
With a deep understanding of workforce transformation, Cheney specialises in investigating the fusion of Digital and Human Workers, ensuring that businesses transition seamlessly into the Now of Work.
Her expertise lies in workforce modelling, data-driven analysis, and strategic design, enabling organisations to navigate the shift from traditional HR structures to Dynamic Workforce Planning. Cheney focuses on labour consumption efficiency, outcome-based employment models, and the integration of AI-powered Digital Workers to optimise workforce agility.
At Bloor Research, Cheney is responsible for leading in-depth research into the evolving nature of employment, workforce governance, and the impact of Digital Me on individual productivity and career structures. Her work is instrumental in helping organisations future-proof their talent strategies, ensuring ethical AI implementation, and aligning digital transformation with business outcomes.
A passionate advocate for data-led decision-making in HR and workforce planning, Cheney plays a key role in shaping the frameworks and methodologies that define modern, flexible, and scalable Digital Human Resource Architectures. She provides insightful analysis, strategic foresight, and practical models that empower leaders to embrace a mutual, adaptable, and outcome-driven workforce.
With FusionWork™ at the heart of her research, Cheney is redefining how individuals and organisations leverage Digital Workers to extend productivity, create portfolio-based careers, and transition to outcome-driven engagement models. Her expertise ensures that organisations adopt flexible, technology-enabled work structures while safeguarding human ingenuity and economic sustainability.
With a background in labour market research, organisational design, and digital transformation, Cheney’s research serves as a critical foundation for businesses, policymakers, and technology vendors looking to harness the full potential of AI while preserving human ingenuity and economic sustainability.