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Why “Culture Fit” Filters Out Great Talent | Carlton Gates Tells Us Why

25 min · 21. maj 2026
episode Why “Culture Fit” Filters Out Great Talent | Carlton Gates Tells Us Why cover

Description

Most companies say they hire for skill. Carlton Gates says that’s nonsense. From AI screening tools to culture-fit traps, this episode breaks down why recruiting is still more gut instinct than science.Only 10 candidates get reviewed out of 1,000 applicants. AI is filtering your future before a human ever sees your name. Skills-based hiring, recruiting tech, candidate fraud, soft skills, hiring velocity, and workplace culture all collide here.In this episode…Carlton breaks down what companies still get wrong about hiring. We get into AI recruiting tools, fake candidates, interview fatigue, soft skills, diversity in hiring, and why speed plus precision separates top performers from everyone else. Sharp takes. No HR fluff.Key Takeaways• Most recruiters cannot realistically review 2,000 applicants manually across 10 open reqs• Some job posts now pull 200 applicants within a single hour• “Culture fit” often becomes an unspoken filter around age, gender, geography, or background• Diverse teams consistently produce better business outcomes and decision-making• AI recruiting tools like Humanly help surface stronger candidates faster through keyword analysis• Candidate experience matters more than companies think. Slow scheduling kills momentum fast• Interview fatigue is crushing engineering teams during technical hiring cycles• Tools like CoderPad reduce candidate fraud through live testing and timed assessments• Soft skills dominate roles involving sales, recruiting, HR, and leadership• Self-motivation becomes the deciding factor in independent technical roles like UX and engineering• A resume is still a marketing document. Bad grammar and weak structure eliminate candidates instantly• Top performers move fast, stay accurate, and execute under pressure without losing focusConnect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/WRKdefined : Site: http://www.wrkdefined.comTikTok: https://www.tiktok.com/@wrkdefinedLinkedIn: https://www.linkedin.com/company/wrkdefinedFacebook: https://www.facebook.com/WRKdefined/Twitter (X): https://twitter.com/WRKdefinedSubstack: https://wrkdefined.substack.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices [https://megaphone.fm/adchoices]

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74 episodes

episode Assessments Are Dead. Skills Intelligence Is Taking Their Place artwork

Assessments Are Dead. Skills Intelligence Is Taking Their Place

Most employees hear the word “assessment” and immediately think of being judged. Kian Katanforoosh thinks that mindset is outdated. The future isn’t about screening people out. It’s about measuring skills, accelerating learning, and helping people prove what they can actually do. The biggest workforce advantage may not be talent. It may be learning velocity. Skills intelligence, AI readiness, workforce development, learning velocity, talent management, skills-based hiring. This conversation explores how AI is reshaping the way organizations measure and develop human potential. In this episode… Kian explains why traditional assessments have earned a trust problem, how AI is reinventing skills measurement, and why learning velocity could become one of the most important workforce metrics of the future. Sharp discussion on AI readiness, skills verification, talent mobility, workforce development, and the future of hiring. Key Takeaways :  • Kian argues organizations should stop thinking about assessments and start thinking about skills intelligence • Modern AI can evaluate far more than multiple-choice questions, including problem-solving, coding, communication, and real-world tasks • Trust in skills measurement requires transparent design, continuous auditing, and humans remaining in the loop • Kian believes AI is already less biased than humans in many evaluation scenarios because human bias remains deeply inconsistent • Large organizations often have thousands of managers applying different hiring standards, creating inconsistency that AI can help reduce • Candidates and employees should have the ability to challenge AI-generated outcomes and trigger human review when needed • Meta reportedly hired 7 of 11 top AI researchers from OpenAI, highlighting how intense the AI talent war has become • Kian predicts compensation will increasingly be tied to verified skills rather than traditional credentials or tenure • One metric his customers track is “learning velocity,” measuring how quickly a person improves skills over time • Learning velocity may become a stronger predictor of future potential than current skill level alone • Skills adjacency helps organizations identify employees who can successfully transition into new projects or roles • Kian believes employees will eventually carry verified skills passports between employers instead of relying on self-reported resumes and profiles • LinkedIn profiles are largely self-reported, while future skills credentials will likely be independently verified • Organizations rolling out skills measurement should focus on employee empowerment rather than compliance or screening • AI readiness is becoming the first major use case for enterprise-wide skills measurement programs • Leaders who pretend to understand AI create what Kian calls “dangerous amateurs” throughout the organization • Effective AI transformation starts with leadership openly measuring and improving their own capabilities first • Employees engage more when skill development is tied to clear incentives, promotions, recognition, or financial rewards • The future of workforce development is less about completing courses and more about reaching measurable skill outcomes Guest : Kian Katanforoosh CEO and Founder of Workera, AI educator, Stanford lecturer, and workforce innovator helping organizations measure, verify, and develop skills through AI-powered skills intelligence and learning platforms. LinkedIN : https://www.linkedin.com/in/kiankatan Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices [https://megaphone.fm/adchoices]

10. juni 202640 min
episode You’re More Than Your Job Title. So Why Are You Building Your Career Around One? artwork

You’re More Than Your Job Title. So Why Are You Building Your Career Around One?

Most people spend years trying to find the perfect career fit. Sarabeth Bickerton thinks that’s the wrong goal. The real problem isn’t fit. It’s belonging. People don’t want to be squeezed into someone else’s box. They want to be seen, known, and valued for who they actually are. The workforce is obsessed with skills and titles while people are searching for identity. Career belonging, professional identity, personal branding, workforce development, career growth, leadership. This conversation explores what happens when people stop defining themselves by their job descriptions. In this episode… Sarabeth explains why career belonging matters more than career fit, how professional identity evolves throughout life, and why hybrid professionals are becoming one of the most overlooked talent groups in the workforce. Sharp discussion on personal branding, career transitions, identity, leadership, and the future of work. Key Takeaways :  • Sarabeth argues people want to be “seen, known, and valued,” not simply matched to a job opening • Many employees feel invisible at work because they are viewed only through their job title instead of their broader capabilities • She believes career belonging is becoming more important than traditional notions of career fit • Sarabeth identifies three professional identity types: singularity (experts), multiplicity (generalists), and hybridity (people who combine multiple disciplines) • Hybrid professionals often create value by connecting skills and perspectives that normally exist in separate functions • Many organizations still hire using binary expert-versus-generalist thinking while overlooking hybrid talent • Companies are increasingly hiring for adaptability, agility, and the ability to navigate ambiguity because jobs are changing faster than ever • A highly skilled employee can still fail in the wrong role if their professional identity does not align with the work environment • Professional identity is fluid and evolves throughout a person’s life rather than remaining fixed forever • Losing a job, losing a loved one, and going through a divorce are three of the biggest triggers of identity crises • Many career transition programs focus on resumes and job applications before helping people understand who they are becoming • Sarabeth encourages people to map dozens of professional identities instead of reducing themselves to a single title • One of her most powerful exercises involves asking others how they perceive your impact beyond your job description • She uses “First, Best, and Only” career moments to uncover patterns of unique strengths and identity traits • Personal branding is not about marketing yourself. It starts with understanding your identity first • The biggest career breakthroughs often happen when people finally find language that accurately describes who they have been all along Guest : Sarabeth Bickerton  Founder of More Than My Title, author, researcher, and career strategist helping professionals understand their professional identity, build career belonging, and move beyond the limits of job titles and traditional career paths. LinkedIN : https://www.linkedin.com/in/sarabethberk/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices [https://megaphone.fm/adchoices]

5. juni 202637 min
episode AI Isn’t Coming for HR. Bad HR Is Already Dead. artwork

AI Isn’t Coming for HR. Bad HR Is Already Dead.

Only 6% of businesses in Ireland have deployed AI at scale. That’s the wake-up call. This conversation cuts through the AI cosplay and gets real about skills-based hiring, HR transformation, employee trust, governance, automation, and what happens when agents start doing half the work faster than your best ops team. In this episode… Stephanie explains why most companies are stuck in pilot mode, why “jobs” are becoming obsolete, and how AI changes recruiting, onboarding, learning, and leadership. She also shares the five-part framework companies need if they want adoption instead of fear, resistance, and expensive tech nobody uses. Key Takeaways :  Only 6% of businesses in Ireland have deployed AI at scale 90% of leaders say they feel unprepared for AI adoption 67% of Irish businesses using AI still can’t explain the ROI AI can analyze employee engagement data in seconds instead of months Skills-based organizations will outperform job-based structures in the AI era AI agents can handle repetitive L&D coordination work in under 5 minutes Most employee resistance comes from forced change, not the technology itself “Transparency builds trust” became the core theme of the conversation Stephanie’s “GAS SEED” framework focuses on growth mindset, autonomy, creativity, entrepreneurship, empathy, and decision-making Companies rolling out AI without psychological safety are setting themselves up for low adoption Governance is less about restriction and more about data protection and compliance The best AI use cases connect directly to revenue goals, not random admin cleanup Guest :  Stephanie Prenderville Founder SPC Consulting Stephanie has been helping organizations build practical AI adoption strategies that humans will actually use. LinkedIN : https://ie.linkedin.com/in/stephanie-prenderville Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices [https://megaphone.fm/adchoices]

26. maj 202635 min
episode Why “Culture Fit” Filters Out Great Talent | Carlton Gates Tells Us Why artwork

Why “Culture Fit” Filters Out Great Talent | Carlton Gates Tells Us Why

Most companies say they hire for skill. Carlton Gates says that’s nonsense. From AI screening tools to culture-fit traps, this episode breaks down why recruiting is still more gut instinct than science.Only 10 candidates get reviewed out of 1,000 applicants. AI is filtering your future before a human ever sees your name. Skills-based hiring, recruiting tech, candidate fraud, soft skills, hiring velocity, and workplace culture all collide here.In this episode…Carlton breaks down what companies still get wrong about hiring. We get into AI recruiting tools, fake candidates, interview fatigue, soft skills, diversity in hiring, and why speed plus precision separates top performers from everyone else. Sharp takes. No HR fluff.Key Takeaways• Most recruiters cannot realistically review 2,000 applicants manually across 10 open reqs• Some job posts now pull 200 applicants within a single hour• “Culture fit” often becomes an unspoken filter around age, gender, geography, or background• Diverse teams consistently produce better business outcomes and decision-making• AI recruiting tools like Humanly help surface stronger candidates faster through keyword analysis• Candidate experience matters more than companies think. Slow scheduling kills momentum fast• Interview fatigue is crushing engineering teams during technical hiring cycles• Tools like CoderPad reduce candidate fraud through live testing and timed assessments• Soft skills dominate roles involving sales, recruiting, HR, and leadership• Self-motivation becomes the deciding factor in independent technical roles like UX and engineering• A resume is still a marketing document. Bad grammar and weak structure eliminate candidates instantly• Top performers move fast, stay accurate, and execute under pressure without losing focusConnect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/WRKdefined : Site: http://www.wrkdefined.comTikTok: https://www.tiktok.com/@wrkdefinedLinkedIn: https://www.linkedin.com/company/wrkdefinedFacebook: https://www.facebook.com/WRKdefined/Twitter (X): https://twitter.com/WRKdefinedSubstack: https://wrkdefined.substack.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices [https://megaphone.fm/adchoices]

21. maj 202625 min
episode Most Companies Don’t Have an Innovation Problem | They have a fear problem nobody wants to admit artwork

Most Companies Don’t Have an Innovation Problem | They have a fear problem nobody wants to admit

Most companies say they want innovation. Then they build rooms where people are punished for thinking differently. Creativity isn’t rare. Suppressing it is. Josh Linkner connects innovation, leadership, psychology, and business through one brutal truth: most people stop sharing bold ideas because they’ve been trained to avoid mistakes. The result? Safe thinking, mediocre execution, and teams stuck recycling old answers to new problems. In this episode… you’ll hear why traditional brainstorming is broken, how fear destroys innovation before ideas even surface, and practical ways to create environments where people actually think differently. From “bad idea brainstorms” to role-based creativity exercises, this is about making better ideas usable inside real organizations. Key Takeaways : • Fear kills more creativity than lack of talent ever will • Most brainstorming sessions fail because people self-censor before speaking • Safe ideas survive meetings more often than smart ideas • Every strong creative process starts with messy first drafts, not polished perfection • Critiquing the work improves ideas. Critiquing the person shuts people down • Teams produce better thinking when feedback becomes specific instead of vague • Diversity creates stronger innovation because different lived experiences expand possible solutions • Homogeneous teams often move faster but generate narrower thinking • Psychological safety matters because people won’t risk bold ideas if embarrassment feels expensive • Some of the best innovations come from borrowing ideas outside your industry • A medical breakthrough for severe burns came from studying how graffiti artists use spray paint • Roleplaying during brainstorming removes social pressure and unlocks ideas people normally suppress Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices [https://megaphone.fm/adchoices]

19. maj 202627 min