Dr. Marshall’s thought leadership centers on a fundamental leadership challenge: how organizations turn emerging technology into sustainable business value. Her work explores the intersection of digital transformation, AI strategy, organizational performance, and responsible innovation—with particular emphasis on why technology investments succeed or fail once they encounter the realities of people, processes, operating models, and enterprise risk.
She is the published author of The AI Profitability Gap, which examines why organizations struggle to translate AI investment into measurable returns. Her work reframes the AI value challenge as more than a technology problem—it is a strategy and execution problem requiring organizations to align business priorities, workforce capabilities, operating processes, investment decisions, adoption, and governance around clearly defined outcomes.
Dr. Marshall also engages with think tanks and U.S. policymakers, including Congressional stakeholders, on the evolving implications of AI and emerging technology. Her contributions bring an operational and business perspective to policy discussions, helping bridge the gap between innovation, regulatory objectives, and the practical realities organizations face when adopting and scaling new technologies.
As a lecturer and educator, Dr. Marshall translates complex technology and business challenges into practical guidance for executives, professionals, and emerging leaders. Her teaching spans digital transformation strategy, Responsible AI, technology risk, privacy, and governance, with a consistent focus on helping organizations make better decisions, build stronger capabilities, and navigate transformation responsibly.
Across these efforts, her work advances a distinctly profit-centered approach to transformation and governance: align investment with strategy, execute with discipline, manage the risks that threaten value, and create the conditions for sustainable growth.