But First, Coffee Podcast Por WRKdefined Podcast Network arte de portada

But First, Coffee

But First, Coffee

De: WRKdefined Podcast Network
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But First, Coffee is a live weekly talk show where Jackye Clayton and John Baldino bring candid, insightful conversations about the world of work, leadership, and all things people. Each episode blends expert insight with real-world experience—covering employee engagement, leadership, inclusion, technology, and culture. It's not just HR theory; it's HR reality, poured fresh each week.All rights reserved by WRKdefined Economía Exito Profesional Gestión Gestión y Liderazgo
Episodios
  • Laid Off by a Forecast

    Laid Off by a Forecast
    Apr 3 2026
    Oracle just cut 30,000 jobs before most people finished their first cup, all to fund AI data centers. A new CEO survey reveals AI-driven cuts will be 9x higher than previously projected. This episode digs into what happens when workforce decisions are made by financial models instead of people managers, and what HR leaders need to do about it right now. Key Takeaways: Oracle's 30,000-person layoff signals a shift from traditional restructuring to AI-investment-driven workforce reductions CEO surveys now project AI-driven job cuts at 9x the rate previously forecasted Financial forecasting models are increasingly replacing human judgment in headcount decisions HR leaders must understand how AI investment priorities directly impact workforce planning The gap between C-suite AI optimism and frontline employee anxiety is widening Companies are rebranding layoffs as "strategic realignment" to mask AI displacement Severance, reskilling, and outplacement programs have not kept pace with the speed of AI-driven cuts Transparency in communicating workforce changes remains a critical leadership gap Employees laid off by forecast models face different reemployment challenges than those in traditional layoffs HR's role is shifting from managing change to anticipating algorithmic workforce decisions Keywords: AI layoffs, workforce reduction, Oracle layoffs 2026, AI-driven job cuts, CEO AI survey, workforce planning, HR leadership, algorithmic workforce decisions, AI data centers, employee displacement
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    54 m
  • Swag Report LIVE from Transform 2026

    Swag Report LIVE from Transform 2026
    Mar 24 2026
    What happens when HR's biggest conference meets your favorite coffee-fueled duo? John Humareso and Jackye Clayton hit the Transform 2026 conference floor for a live swag report, grading the best (and worst) vendor merchandise on display. Key Takeaways: The swag game at HR tech conferences reveals more about a brand than any booth demo Best-in-show items that attendees actually kept versus what hit the hotel trash can Why branded merchandise matters for employer brand and vendor recall The evolution of conference swag from pens and stress balls to premium giveaways Live reactions and crowd favorites from the Transform 2026 exhibit hall What your swag choices say about your company culture Tips for vendors: what conference attendees actually want to take home Keywords: Transform 2026, HR conference, conference swag, employer brand, HR tech vendors, branded merchandise, conference marketing, vendor booth, HR technology, workplace culture
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    1 h
  • What Hiring Actually Looks Like Right Now

    What Hiring Actually Looks Like Right Now
    Mar 19 2026
    Hiring sounds clean in demos and messy in real life. In this episode, John and Jackye talk about what candidates and hiring teams are actually experiencing right now. Broken systems, tools without ownership, and AI that can organize data but can't replace judgment. This is an honest look at talent acquisition without the vendor gloss. Key Takeaways: The gap between how hiring tools are sold and how they actually perform in daily recruiting workflows continues to widen. Many organizations have invested in technology without assigning clear ownership, leaving tools underused or misconfigured. Candidates are experiencing longer, more fragmented hiring processes despite the promise of automation. AI can sort resumes and schedule interviews, but it cannot evaluate cultural fit, motivation, or potential. Hiring managers and recruiters often operate with different definitions of what "qualified" means for the same role. The best hiring outcomes still come from human judgment applied at the right moments in the process. Speed to hire has become a competitive advantage, but only when it does not sacrifice candidate quality. Internal mobility and referral programs remain underutilized compared to external sourcing channels. The recruiter role is evolving from sourcing specialist to strategic advisor, and not every organization is keeping up. Transparency with candidates about timelines, compensation, and process builds trust that technology alone cannot. Keywords: talent acquisition, hiring process, recruiting technology, AI in hiring, candidate experience, hiring manager alignment, recruiter strategy, internal mobility, hiring speed, workforce planning
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    59 m
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