Building The Workforce of Tomorrow With AI Co-Workers

What happens when software stops being something we use and starts becoming something that works alongside us?In this episode of AI at Work, I sat down with Mark Skelton, CTO at Node4, to explore how AI is moving beyond content generation and into something far more transformative. Mark has spent more than a decade operating at CTO level, helping organizations navigate shifts from traditional infrastructure to cloud, and now into a world shaped by AI agents, automation, and entirely new ways of delivering technology.We begin by unpacking the evolution from generative AI to agentic AI. While most businesses are now familiar with tools that create content, Mark explains that the real shift is happening as AI begins to take action. These agents can interact with systems, execute workflows, and handle tasks that previously required human input. It is a shift that brings both excitement and uncertainty, especially as conversations around AI co-workers become more common in boardrooms and across teams.A big part of our conversation focuses on what this actually looks like in practice. Rather than replacing people, Mark shares how AI is currently augmenting teams, supporting developers, automating repetitive work, and helping organizations move faster while still keeping humans firmly in the loop. There are still limitations, from hallucinations to data quality issues, which means oversight, validation, and strong governance remain essential.We also explore one of Mark’s boldest predictions, that the rise of agentic AI could fundamentally change how we think about software itself. Instead of logging into multiple SaaS platforms, future workflows may be driven through conversations with AI agents that access systems, retrieve data, and execute tasks on our behalf. That shift opens the door to new opportunities in orchestration, integration, and data strategy, while also raising important questions about how businesses prepare for what comes next.From the role of model context protocol servers as the connective layer behind AI agents, to the importance of guardrails across technical, operational, and cultural levels, this episode offers a clear and practical look at how organizations can start making sense of a fast-moving space. Mark also shares why data readiness, cloud adoption, and AI literacy are becoming the foundations that will separate those who adapt from those who struggle to keep up.So as AI agents begin to reshape how work gets done, where should businesses focus their energy today, and what does it really take to stay relevant in a world where software may no longer look the way it does now?