Candidates use AI to write applications. Companies use AI to filter them. Everyone ends up frustrated. So how do we break the hiring doom loop?Sharawn Tipton, Chief People Officer at Greenhouse, joins Johannes Sundlo to discuss what happens when you give candidates a chance to speak before judging their CV.We explore voice AI interviews, the candidates recruiters might otherwise miss, and why transparency, the option to opt out, and clear human accountability matter. Sharawn also shares how her own HR team uses AI every day, how she thinks about AI slop, and what she believes HR leaders should stop doing on Monday.Plus, a lesson from her grandmother that applies surprisingly well to AI.
Kantar has around 12,000 employees and around 15,000 agents. Andy Doyle is responsible for both, and he explains how they reached that scale in 18 months without an engineering army.In this episode:Why the CEO pushed for the title Chief People and Agent Officer, and what it changes in practiceThe bet behind giving all 12,000 people Copilot in three months, from 300 pilot licenses to everybodyChange influencers instead of change champions, and the control Andy gave up to make it workThe agent that cut a monthly HR and finance reconciliation from a week to 10 minutesKantar's target of resolving 95% of HR service queries without a human, and the three agents that guard the risk lineThe agent factory, run out of HR, with 70 citizen builders and none of them from the technology functionWhy the HR community has the highest AI usage of any function at KantarWith Andy Doyle, Chief People and Agent Officer at Kantar.Links mentioned:Andy Doyle on LinkedIn → https://www.linkedin.com/in/ajdoyle/
In May I argued that AI is a work tool, not a perk. Three months and a lot of client work later, the gap between the people who have it and the people who don't is not closing. It's growing, and most organizations are fuelling it without meaning to.In this episode:- Why well-intentioned license decisions end up splitting your workforce in two- The two cohorts living side by side in the same organization, one running fast with their own Claude and ChatGPT setups, one barely started- The mechanism behind it, licenses follow whoever is comfortable asking- Why one client is taking AI access to the union negotiating table, and why I think they're right- Equal opportunity has to include the tools, not just the loud and vocal- The real missing piece, nobody has defined why AI matters for this organization- Why leaders can't be strategic about AI without being practical with it firstLinks mentioned:- AI Is a Work Tool, Not a Perk → https://www.fullstackhr.io/p/ai-is-a-work-tool-not-a-perkSubscribe to the FullStack HR newsletter → https://fullstackhr.io
First episode of the new interview series with people who do stuff with AI, not people who talk about AI. Joe Shahmoradian runs talent acquisition for EMEA at Morningstar, and everything in this episode is running in his team today.In this episode:How his team cut post-call admin by 75% with AI transcription on screening calls, and why the first tool got killedAmira, the AI teammate that works like a journalist and turned five-day market intelligence reports into 90-minute video briefingsThe AI clone Joe built before paternity leave, and what it did when he prompted it maliciously at 1 AMMorningstar's playbook for adoption at scale, an AI Academy, a champions community that grew from 5 to nearly 200, and an idea hub with real ownershipWhat Joe would do in his first 90 days at a company starting from zero, and why governance comes before agentsWhy the workforce of the future is humans and agents as teammates, and why the discourse needs more boldnessWith Joe Shahmoradian, Director of Talent Acquisition EMEA at Morningstar.Links mentioned:Joe Shahmoradian on LinkedIn → https://www.linkedin.com/in/joeshahmoradian/FullStack HR newsletter → https://fullstackhr.io
Subscribe to the FullStack HR newsletter → https://fullstackhr.ioClaude started watermarking every text it writes. Substack scores your posts for AI. Recorded from the car after two weeks off, this episode is about why both miss the point.In this episode:What Anthropic's new invisible watermark does, and what it can't doHow Substack's Pangram scan works, and why it's easy to circumventWhy the human-versus-AI framing is the wrong testThe pieces I let AI write on its own, and why they tankedThe pieces I wrote alone that got the exact same feedbackMy workflow, dictate in the car, let Claude turn it into an articleWhy turning off the AI scan reads as shame, and what to do insteadLinks mentioned:How Claude's text watermarking works → https://www.anthropic.com/news/claude-text-watermarkHow can I detect AI on Substack → https://support.substack.com/hc/en-us/articles/50891130623508-How-can-I-detect-AI-on-SubstackPangram → https://www.pangram.com