Events

Talent acquisition is undergoing a structural shift. Technological innovations including GenAI, automation and AI Agents are reshaping how organizations approach talent acquisition. At the same time labor market dynamics, evolving candidate expectations, and new approaches to skills-based hiring are challenging long-standing hiring practices.

Organizations have traditionally approached transformation as a process that could be planned, implemented, embedded, and ultimately stabilized. Yet AI is challenging this assumption fundamentally. AI has not only expanded organizational capability; it has accelerated the pace at which capability evolves. New agents, copilots, models, and workflows are emerging faster than many organizations can operationalize them across systems, processes, governance structures, and ways of working, making the traditional transformation cycle of implement, roll out, stabilize increasingly difficult to sustain. For HR leaders, this shifts the challenge significantly. The question is no longer simply how to implement AI, but how to lead effectively in an operating environment characterized by continuous change, evolving capability, and ongoing reinvention.

What if the problem with most “spans and layers” exercises is that they optimize for cost reduction while undermining the very organizational effectiveness they are meant to improve? “Spans and layers” is back. Rising costs, productivity pressures, and demands for greater efficiency mean many organizations are once again turning to organizational structure as a lever for cost reduction. But in many cases, the conversation is being framed far too narrowly.