Identifying Your Transferable Skills When Changing Careers
Your experience does not become irrelevant when you change careers—it just needs to be understood in a new context. Learn how to uncover your transferable skills, connect them to real evidence, and communicate their value to prospective employers.
How LER Standards Enable the Human Intelligence Layer
The Learning and Employment Record ecosystem has spent years making learning and workforce data portable, verifiable, and individually owned. This article explores how that infrastructure can now support a Human Intelligence Layer that helps people, organizations, and AI continuously learn together.
Why AI Transformation Needs a Human Intelligence Layer
Organizations can measure AI adoption but often cannot determine whether AI is improving the work. This article introduces the Human Intelligence Layer: infrastructure connecting people, evidence, workflows, and outcomes so organizations and AI can continuously learn and transform together.
Why AI-Era Organizational Design Must Look Beyond the Org Chart
Organizations are restructuring teams around what AI can automate, often without understanding how roles actually function. This article explains why effective AI-era organizational design must account for judgment, relationships, workflows, and the interaction between people and intelligent systems.
The Future of the Chief People Officer: From Function Leader to System Gardener
Chief People Officers are being asked to connect people strategy with business performance—but the deeper challenge is understanding how the organization creates value as a living system. This article explores the CPO’s evolution from functional leader to steward of organizational intelligence.
Why Skills-Based Hiring Is Really Competency-Based Hiring
Employers may list skills in job descriptions, but they make decisions based on something more complex: competency. This article explores how applied capability emerges across skills, experience, behavior, and context—and why organizations need better ways to observe its development.
We’re Asking People to Reinvent Their Roles Without Acknowledging What That Requires
Organizations are asking employees to reinvent their roles around AI while the future of work remains unclear. This article explains why AI adoption is not simply a tooling or training challenge—it is a human alignment and organizational-design problem.
Becoming the Source of Truth
As AI makes polished resumes, pitches, and online identities abundant, traditional signals of trust are losing meaning. This article explores how people can become the source of truth about their own experience—and how self-understanding and evidence can restore agency and opportunity.
We’re Scaling Artificial Intelligence Faster Than We’re Scaling Human Agency. That’s the Risk.
AI capabilities and the energy systems supporting them are scaling at unprecedented speed, while people remain represented by static resumes, job titles, and outdated credentials. This article explains why human agency must become scalable infrastructure—and why leaders must invest in people and AI with equal seriousness.
Time Gives Skills Shape—and Makes Them Visible
As the year comes to a close, many of us look forward to who we want to become…