



39 episodes
by Josh Bersin · English
Insights on Corporate Talent, Learning, AI, and HR Technology. I discuss new research on all areas of management, leadership, economics, and HR, informed by our proprietary research and deep discussions with clients, vendors, and technology providers. We also publish interviews and case studies from some of the most fascinating and innovative leaders in HR and business.









The episode discusses upheaval in the AI market and politics, using NVIDIA CEO Jensen Huang’s recent resignation as a case study.
13 Nov 2026 · 19m · 8 chapters
The host reflects on the recent U.S. election (“blue wave”) as evidence that citizens/workers ultimately win, and draws lessons for business leadership: stability, trust, stakeholder focus, and…
9 Nov 2026 · 20m · 8 chapters
Cisco’s “Edge Up” learning transformation: shifting from fragmented, course-completion learning to a unified, AI-enabled ecosystem for AI-era workforce readiness.
6 Nov 2026 · 32m · 14 chapters
Guild’s approach to unlocking opportunity for America’s workforce through education, skilling, and mobility—especially for AI-era workforce needs.
4 Nov 2026 · 37m · 18 chapters
How DROP (Vijay Swami’s company) helps enterprises redesign work for AI using simulations, “workforce twin” modeling, and an AI sandbox to connect HR/talent intelligence to finance, technology…
2 Nov 2026 · 26m · 10 chapters
Debunks the “AI layoffs” narrative around Microsoft’s announcement of a voluntary exit/termination program for up to 60,000 employees, arguing it’s an early-retirement/voluntary severance strategy to…
31 Oct 2026 · 13m · 5 chapters
The episode argues that HCM (human capital management) is entering a fast-growth phase because AI turns HCM from “systems of record/payroll” into “systems of growth and work,” with agents that…
27 Oct 2026 · 22m · 10 chapters
AI’s “politics, economics, technology, and markets” impact on HR, using a 1873 railroad-bubble analogy to argue we’re in a frothy buildout phase before a cost correction; AI should be treated as an…
24 Oct 2026 · 27m · 11 chapters
The host introduces the book Superpowered, arguing that AI will empower workers and organizations rather than replace them, by enabling faster learning, redesigned workflows, and “digital workers”…
21 Oct 2026 · 13m · 6 chapters
Task intelligence—using labor-market job architectures to decompose jobs into tasks for AI automation and capacity planning—plus warnings that task breakdown can become a “dead end” unless tied to…
18 Oct 2026 · 22m · 12 chapters
The host previews a talk arguing that AI will make HCM (human capital management) platforms “agentic” and cross-functional, expanding the market and changing pricing from mostly licensing to…
16 Oct 2026 · 21m · 9 chapters
Workday’s agentic AI strategy and new Sana interface, its “agent system of record” and agent governance, usage-based monetization concerns, and how Galileo will be embedded.
14 Oct 2026 · 23m · 11 chapters
Business 2030—using AI agents to redesign how companies operate beyond HR 2030, replacing slow functional silos with cross-functional, customer-centric processes that adapt quickly and personalize…
10 Oct 2026 · 22m · 11 chapters
The host discusses SAP’s “autonomous enterprise” vision—deploying multi-agent AI across finance, supply chain, HR, customer, and manufacturing—using SAP’s Knowledge Graph and the JouleWork interface.
7 Oct 2026 · 24m · 10 chapters
A rebuttal to technologists’ claims that superintelligence will make humans obsolete and deliver effortless pleasure/meaning.
3 Oct 2026 · 20m · 10 chapters
HR 2030’s agentic architecture for a near-real-time, growth-oriented HR function, plus the rise of “personal AI agents” that can act across work and personal tasks.
27 Sep 2026 · 18m · 9 chapters
TechWolf CEO Andreas DeNeve explains “skills inference” and “work intelligence” for talent management—inferring employees’ skills and task proficiency by analyzing real work artifacts (e.g., HR data,…
25 Sep 2026 · 27m · 10 chapters
News Corp’s HR and AI strategy—how the company uses decentralized business units while aligning culture, leadership development, and AI adoption; plus how it positions itself as an “inputs company”…
22 Sep 2026 · 29m · 12 chapters
AI safety as an engineering/product liability problem, plus HR 2030 and “Business 2030” for agentic, AI-enabled organizations.
18 Sep 2026 · 15m · 4 chapters
The episode explains the “Jupiter” release of Galileo, an AI system built from the host’s human-capital research library, and how it’s being ported across enterprise AI platforms.
15 Sep 2026 · 22m · 11 chapters
The episode argues against “AI slowdown” and “AI safety” panic narratives, claiming frontier AI labs won’t meaningfully pause.
14 Sep 2026 · 17m · 8 chapters
The episode argues that AI is creating a labor shortage even as it boosts productivity, because companies must still staff, train, manage, and update AI systems.
10 Sep 2026 · 15m · 8 chapters
Seneca Polytechnic’s HR transformation during Canadian higher-ed regulatory upheaval, including how they pivoted from planned tech investment to redesigning with existing tools and using AI to become…
8 Sep 2026 · 20m · 12 chapters
Labor Day 2035 outlook on U.S. labor market change—slower workforce growth, rising labor scarcity, and the need for higher productivity via AI, work redesign, and “super workers.”
4 Sep 2026 · 17m · 8 chapters