
Workplace Bullying Risk with Mary Cullen
May 12, 2026 - 30:12
Radio and PodcastLive Radio & PodcastsFetching episode details...
Radio and PodcastLive Radio & Podcasts
Careers don’t peak and fade—they evolve. In this episode of the HRchat Podcast , host Pauline James is joined by Dr. Ben Zweig , economist, data scientist, and CEO of Revelio Labs , to unpack what AI, remote work, and ri...
Later-Career Advantage in an AI World with Ben Zweig is an episode from HRchat Podcast by The HR Gazette. Careers don’t peak and fade—they evolve. In this episode of the HRchat Podcast , host Pauline James is joined by Dr. Ben Zweig , econo...
This episode belongs to HRchat Podcast.
Use the player on this page to stream the episode online.
Published Feb 19, 2026, 26:07 long, audio available.
Careers don’t peak and fade—they evolve. In this episode of the HRchat Podcast , host Pauline James is joined by Dr. Ben Zweig , economist, data scientist, and CEO of Revelio Labs , to unpack what AI, remote work, and risk-off hiring really mean for later-career professionals. The data-driven headline may surprise you: while AI exposure is dampening demand for junior roles, experienced roles remain largely untouched. Ben explains why this shift reflects a deeper transition—from task execution to orchestration—where coordination, prioritization, and cross-functional judgment become the most valuable skills in the economy. Together, Pauline and Ben explore the difference between procedural organizations that automate easily and adaptable environments where roles evolve continuously. They discuss practical strategies like job crafting, choosing leaders who encourage experimentation, and navigating the loyalty tax without drifting into stagnation. The conversation also covers remote work’s “suburban advantage,” lower job mobility in risk-off markets, and why experience is increasingly rewarded when employers prioritize near-term delivery. Ben also previews his new book, Job Architecture: Building a Language for Workforce Intelligence , showing how better job taxonomies and LLMs can bring clarity, speed, and fairness to people decisions. If you’re thinking about your next career chapter—or advising others through change—this episode offers a clear, data-backed roadmap. Key topics include: Why AI is cooling entry-level hiring but sparing experienced roles Adaptable vs. procedural organizations Orchestration as a core human advantage Job crafting as a hedge against stagnation The loyalty tax and mid-career earnings trade-offs Remote work trends and later-career opportunity Using job architecture and LLMs to structure skills and roles Support the show Feature Your Brand on the HRchat Podcast The HRchat show has had 100,000s of downloads and is frequently listed as one of the most popular global podcasts for HR pros, Talent execs and leaders. It is ranked in the top ten in the world based on traffic, social media followers, domain authority & freshness. The podcast is also ranked as the Best Canadian HR Podcast by FeedSpot and one of the top 10% most popular shows by Listen Score. Want to share the story of how your business is helping to shape the world of work? We offer sponsored episodes, audio adverts, email campaigns, and a host of other options. Check out packages here .
You can listen to Later-Career Advantage in an AI World with Ben Zweig online on Radio and Podcast. Open the player on this page to stream the available audio.
Later-Career Advantage in an AI World with Ben Zweig is an episode from HRchat Podcast by The HR Gazette.
This episode is 26:07 long.
This episode was published on Feb 19, 2026.
Yes. Use the heart button on the episode page to add it to your favorite episodes list.
Yes. This page shows related episodes from HRchat Podcast when more episodes are available from the podcast feed.
You can listen to Later-Career Advantage in an AI World with Ben Zweig on this page when the episode audio is available from the podcast feed.
Later-Career Advantage in an AI World with Ben Zweig is from HRchat Podcast by The HR Gazette.
Published Feb 19, 2026 and 26:07 long