As AI copilots, agents, and LLM-powered workflows accelerate development, technical output is no longer the bottleneck. The constraint has shifted to something harder to automate: human thinking, coordination, and judgment inside increasingly complex systems.

This talk examines how AI is reshaping developer workflows—and why communication, focus, and presence are becoming critical performance differentiators rather than “nice-to-have” skills. Ashley René Casey reframes human skills as infrastructure: the connective tissue that allows teams to design, deploy, and scale AI systems responsibly and effectively.

Rather than positioning humans in opposition to AI, this session explores how strong human capabilities amplify AI’s value—improving collaboration, reducing costly misalignment, and supporting better decisions across technical and business contexts. Attendees leave with a clearer understanding of where human skills create leverage in AI-driven environments, and how to cultivate them intentionally as part of modern engineering and leadership practice.

This can be delivered as a keynote or a workshop.