PDF Resumes Are Collapsing the Job Market in the Age of AI—Help Create What’s Next
AI has made polished resumes abundant while verification remains manual, weakening trust across the job market. This article explores how Learning and Employment Records and person-owned talent passports can replace static claims with portable evidence—and restore agency to individuals.
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…
Beyond Skills: What Is Talent?
Skills describe what someone can do—but not why, where, or how they will apply them. This article introduces Gobekli’s Talent Tree: a living, multidimensional map of human talent encompassing agency, motivation, identity, experience, wisdom, creativity, intelligence, and potential.
Learning and Employment Records as Infrastructure for a More Equitable Talent System
Systemic challenges in education and workforce systems cannot be solved with disconnected records. LERs, Verifiable Credentials, TalentPass, and TalentSync point toward a more portable, trusted, and human-centered talent infrastructure.
What Integrated Talent Management Looks Like With a Human Intelligence Layer
A fictional employer scenario showing how integrated LER-based talent management can evolve into a Human Intelligence Layer for hiring, onboarding, development, retention, workforce planning, and AI-era organizational adaptation.
The Résumé Is Not Enough: Why Applicant Tracking Systems Need Better Talent Data
Applicant Tracking Systems have made hiring easier to manage, but they still rely on incomplete résumés and inconsistent data. LERs, talent passports, and contextual evidence can help employers understand candidates more fully while preserving human judgment and candidate agency.
Why Enterprises Need Learning and Employment Records—and Why Records Alone Are Not Enough
Learning and Employment Records can give enterprises more trusted, portable talent data—but records alone cannot explain how people, work, and capabilities are changing. Learn how LERs support a broader Human Intelligence Layer.
AI and Data Standards Can Improve Skills-Based Hiring—But Only With Human Context
AI and data standards can make skills-based hiring more structured, portable, and transparent—but they cannot make it fair on their own. Learn how human context, evidence, agency, and accountable judgment complete the system.
The LER Ecosystem: Building Human-Centered Infrastructure for Learning, Work, and Opportunity
The LER ecosystem brings together people, institutions, standards, credentials, technology, and policy to make learning and employment information trusted and portable. Explore what each layer contributes—and why the ecosystem must remain centered on the people it represents.
Envisioning the Future of LERs: Bridging the Gap for Workers in 2024
Originally published September 20, 2023. Updated to reflect the continued development of Learning and Employment Records, TalentPass, and…