Just because AI can, does it mean AI should? Data cited in Kyndryl’s 2026 People Readiness Report suggests increasing numbers of leaders will soon answer the question with, “Yes.” The People Readiness Report found that 81% of respondents expect within 12 months, autonomous AI agents will make decisions with material business impact for their organizations. How will they get there? Particularly when roughly half of the respondents cite questions about bias, transparency, explainability and trust as top barriers to activating their AI strategy? The barriers are matters of responsible AI. In this episode, AWS joins us with a perspective on how—and how well—organizations are working toward a future AI makes decisions with material business impact. Featured experts • Diya Wynn, Responsible AI Lead, Amazon Web Services (AWS) • Tony De Bos, Global GTM and Consult leader for Security & Resilience, Kyndryl
Just because AI can, does it mean AI should?
Data cited in Kyndryl’s 2026 People Readiness Report suggests increasing numbers of leaders will soon answer the question with, “Yes.”
The People Readiness Report found that 81% of respondents expect within 12 months, autonomous AI agents will make decisions with material business impact for their organizations. How will they get there? Particularly when roughly half of the respondents cite questions about bias, transparency, explainability and trust as top barriers to activating their AI strategy?
The barriers are matters of responsible AI. In this episode, AWS joins us with a perspective on how—and how well—organizations are working toward a future AI makes decisions with material business impact.
Featured experts