Welcome to Episode 38 of the Talent Intelligence Collective podcast! In this special return episode, Alan Walker, Alison Ettridge, and Toby Culshaw welcome back Gerrit Schimmelpenninck for his second appearance on the show, exploring his remarkable transformation from corporate TI leader to entrepreneurial consultant.

The episode opens with Toby discussing the Talent Intelligence Collective's exciting "One Prompt Challenge" in partnership with InDrive, where participants must create a complete location analysis using just a single AI prompt—no follow-ups allowed. The conversation delves into the fascinating challenges of AI prompting, including the revelation that AI systems are designed to please users rather than provide balanced perspectives unless specifically prompted for opposing views.

The news segment explores the escalating battle for AI talent, with Meta allegedly offering $100 million signing bonuses to poach OpenAI engineers, and OpenAI's intriguing decision to appoint a distinguished AI researcher as their new head of recruiting. The discussion also touches on global talent mobility shifts, as the US restricts funding and visas while other nations launch aggressive programs to attract displaced scientists and researchers.

Gerrit shares his extraordinary journey since we last spoke in Episode 11—relocating from Amsterdam to Los Angeles, building talent intelligence capabilities at Activision Blizzard (Call of Duty, World of Warcraft, Candy Crush), and ultimately launching his own consultancy, Talent Motions, after Microsoft's acquisition. His insights into the gaming industry's unique talent challenges and the importance of hiring developers who are passionate gamers themselves provide fascinating industry-specific perspectives.

The conversation explores Gerrit's pivot to competitive intelligence consulting, moving beyond traditional recruitment-focused TI to solving strategic business problems. He shares compelling case studies, including mapping competitor organisations for major tech suppliers and analysing secretive quantitative trading teams in finance—demonstrating how talent intelligence can drive critical business decisions far beyond hiring.

Until next time, stay curious, stay strategic, and most importantly, stay intelligent!

As ever - big thanks to our sponsors: ⁠https://lightcast.io⁠

Welcome to Episode 37 of the Talent Intelligence Collective podcast! In this data-driven episode, Alan Walker and Toby Culshaw from Lightcast (with Alison taking a well-earned break) delve into the world of talent analytics with Steve Kerwin, who leads the data and analytics organisation for Amazon's Stores Talent Acquisition team.

The news roundup kicks off with a critical examination of Trump's manufacturing revival plans against the sobering reality of skills shortages across the US, with Deloitte projecting 1.9 million unfilled manufacturing jobs by 2033. The conversation shifts to Shopify's CEO's controversial policy of refusing to approve new headcount unless teams can demonstrate why AI can't perform the work, sparking a thoughtful discussion about the practical limitations of AI implementation. The segment concludes with a cautionary tale of an AI shopping app founder charged with defrauding investors after allegedly using human contractors in the Philippines instead of the advertised AI technology.

Steve shares his eight-year journey building Amazon's talent acquisition analytics capabilities from the ground up, offering candid insights into scaling data solutions to thousands of users across one of the world's largest employers. He emphasises the critical importance of candidate experience data and how qualitative feedback, when properly captured and analysed, can transform hiring success at scale.

The discussion explores the unique challenges of leading a diverse team of BI engineers, software developers, and data engineers, with Steve advocating for a servant leadership approach that empowers team members to grow their skills and tackle increasingly complex problems. He provides a refreshingly honest assessment of the persistent disconnect between talent acquisition, HR, and finance when it comes to operational forecasting and demand planning, highlighting the need for better integration across these traditionally siloed functions.

For organisations just beginning to build their analytics capabilities, Steve offers practical advice, emphasising the importance of establishing solid foundational data structures before attempting more sophisticated analyses. He compares building analytics capabilities to constructing a house: "I can't build you bay windows and roofs if I don't have the basement laid."

Until next time, stay curious, stay analytical, and most importantly, stay intelligent!

As ever - big thanks to our sponsors: https://lightcast.io

Welcome to Episode 36 of the Talent Intelligence Collective podcast! In this special "insider" episode, Alan Walker and Alison Ettridge turn the spotlight on their co-host Toby Culshaw, who has recently made the leap from Amazon to Lightcast and shares the story behind this exciting career move.

The episode begins with a thought-provoking discussion about data discrepancies across LinkedIn platforms, exploring the challenges of balancing directional accuracy with precise data in talent intelligence. The conversation delves into how perception, gut feeling, and objective data all play crucial roles in strategic decision-making, with Toby sharing revealing examples from his career where leadership perceptions didn't match market realities.

McKinsey's recent paper on strategic workforce planning in the age of AI sparks an examination of how organisations achieving excellence in talent management generate substantially more revenue per employee. The team discusses the critical relationship between operational planning and long-term strategy, particularly as AI continues to reshape workforce dynamics at an unprecedented pace.

The heart of the episode features Toby recounting his fascinating career journey from financial recruitment to pioneering talent intelligence. He shares candid insights about his early days using "the big red book" of chartered accountants, his time in Australia staffing entire call centres, and his pivotal moments at Thales where he first discovered how data could influence strategic business decisions rather than just support tactical recruitment.

Toby offers a compelling vision for the future of talent acquisition, predicting a significant shift toward hiring manager self-service for routine roles while reserving specialised recruitment expertise for business-critical positions. He explains his decision to move to Lightcast as driven by the opportunity to influence the talent intelligence field more broadly and help more organisations build effective TI functions.

The episode concludes with reassurance for listeners that while Toby's career is changing, the podcast remains committed to its independent voice and community-focused mission—with exciting possibilities ahead for expanding its reach and impact.

Until next time, stay intelligent!

This podcast is proudly sponsored by Lightcast