Executive perspective on people strategy, workforce & people transformation, change management, employer branding, AI strategy, and the responsible adoption and evaluation of AI.
Anthropic has given an independent evaluator employee-like access to assess model risk, and says every frontier lab should. Why vendor self-attestation is losing credibility.
Third quarter job cuts fell 43% from the second quarter, but hiring stayed muted. What a frozen labor market means for workforce planning and retention risk.
57% of organizations have embedded AI in core processes, but only 23% say their people are ready. What closes the gap between AI spend and AI return.
Only about one in ten companies feel culturally ready for AI. The gap isn't the technology — why implementation, transformation leadership and employer brand have to run as one connected effort.
Agentic AI now acts on its own inside your inboxes, calendars and data. Assistive AI failed quietly; agentic AI fails loudly — why the rollout just became a governance and change problem, not a training one.
Most AI investments fail in the transition, not the technology. Why every AI rollout needs a change manager and a transformation owner — not just a chatbot — to turn adoption into measurable results.
What the Iran war, the ceasefire and the global energy shock mean for HR leaders running transformation initiatives right now — and a Start, Wait, Stop decision framework.
What people leaders must do when employees face both AI disruption and renewed inflation risk — five actions to protect trust during compounding external shocks.
How do you guide an organization through AI-driven transformation when your own HR function is also transforming? Five practical, sequenced steps for HR leaders.
What organizations can learn from publishing an AI strategy — where it helps, where it backfires, and a practical 7-step playbook for HR leaders to build trust.
The U.S. Department of Labor's voluntary Workforce Intelligence Readiness guidance is a signal. What it reveals about where workforce development is heading, and why change management is the gap.
HR must evolve from broad engagement to driving tangible financial impact. Five steps to move from activity-driven to impact-driven people operations.
Even best-in-class AI platforms experience disruptions and errors. Why human-in-the-loop governance has moved from best practice to operational requirement in HR.
AI amplifies what already exists. Three scenarios where AI accelerates broken HR processes — and the readiness work that turns capability into business value.
AI adoption is accelerating faster than organizational readiness. A practical roadmap for AI-enabled people transformation grounded in operating model discipline.
AI is becoming a core capability that shapes how people decisions are made. How HR teams that lead with AI become not just more efficient, but more influential.
Workforce reduction is not the change. Transformation is. What federal job cuts reveal about the evolving role of HR as change architect, not policy executor.
Innovative change management strategies for people-centric leaders — communication, involvement, training, adaptability and technology that make transitions stick.
Trust is the bedrock of any successful team. How to build it in project management through communication, clear expectations, accountability and strong leadership.
How AI can be harnessed across recruitment, onboarding, performance, engagement and learning — with practical examples and the challenges to manage.