Carlee Wolfe - The Future of Work, AI and HR

Carlee Wolfe - The Future of Work, AI and HR

Hold tight. Today’s episode? It’s a wild ride through the chaos and clarity of AI in the workplace. We’re digging into how HR and leaders can embrace innovation without shooting themselves in the foot. If you're feeling overwhelmed or skeptical about AI boundaries, this is your reality check and rally cry all in one. In this episode:  * The true impact of hotels on community and human experiences  * The metaphor of AI tools as gym equipment—hidden potential and the importance of guidance  * Guardrails around AI: costs, ethics, and performance illusions  * Why access to AI is a must—no gates, no barriers, big opportunities  * The need for specific training versus generalized skepticism  * The parallel between AI in education and employment—breaking down misconceptions  * How we should focus on the results not just the means  Timestamps:  00:00 - Meet Carlee Wolfe: HR leader redefining talent and organizational effectiveness  01:12 - The heart of hospitality: impact on community & human connection  02:16 - Hotels as spaces for life's biggest moments—marriages, tragedies, celebrations  03:32 - How hotels influence local economies & culture  04:59 - The fascinating kosher hotel fact in Chicago—layered infrastructure and community needs  06:25 - Carlee’s fun facts—skydiving, bungee jumping, and the importance of knowing your limits  09:38 - What’s rattling Carlee’s mind for 2026? The future of AI, HR, and disruption  10:22 - Guardrails on AI: costs, ethics, and misconceptions about performance  12:10 - Why restricting AI access can hinder performance—and why that’s a mistake  13:33 - Rethinking performance metrics in the age of AI: productivity, quality, and innovation  14:02 - The risk of private vs. corporate AI use—leaking secrets or gaining speed?  15:02 - The training gap: equipping your team to harness AI effectively  17:21 - The gym metaphor: AI tools as machines—and the overlooked ‘back of the gym’ space  18:46 - Building a culture around exploration & experimentation in AI adoption  19:34 - The variety of AI ‘machines’: Claude, Perplexity, ChatGPT—the importance of understanding differences  21:08 - How applicants and employers can use AI ethically & effectively in hiring  23:24 - Education’s role: from cheating to enhancing learning using AI tools  24:55 - Embracing AI as a workforce builder, not a barrier—why resistance stalls progress  25:24 - The evolution of research & referencing—AI as a thinking partner  26:19 - The importance of maintaining mental agility—training the muscle, not just the machine  27:04 - Results over methods: why focus on outcomes? Resources & Links:  * Book: Human + Machine: Reimagining Work in the Age of AI by H. James Wilson & Paul R. Daugherty [https://riverside.com/editor/3ec7e8e9-a317-4da7-82a7-1df655bf9f02/amazon.com/Human-Machine-Reimagining-Work-Age/dp/1633693864]  * GPT-4 by OpenAI [https://openai.com/research/gpt-4]  * Claude AI [https://anthropic.com/claude]  * Perplexity AI [https://perplexity.ai/]  Connect with Carlee Wolfe:  * LinkedIn [https://www.linkedin.com/in/carlee-wolfe]  * Twitter [https://twitter.com/carleewolfe]  This episode is a bold call to see AI as a tool, not a threat. Change your mindset, unlock your potential, and remember, you get to choose whether AI becomes your crutch or your launchpad. Stay curious, stay bold. The future is yours to shape.

Cole Napper - People Analytics in the World of AI

Get ready to unleash a surge of passion, truth, and bold insights on how AI is revolutionizing people analytics. Cole Napper, a true luminary in the space, shares the raw reality of data's power, pitfalls, and the brave new world ahead. Buckle up, this isn’t just a podcast; it’s a rallying cry for HR and analytics pros to lead with purpose.  In this episode:  * How far has people analytics come since its early days  * The impact of COVID and AI on credibility and practice  * Why analytics teams are transforming into the future of HR  * The role of AI in automating dashboards, insights, and decision-making  * The importance of trust and ethical data use in predictive models  * How to navigate data quality issues that threaten decision accuracy  * Why the next wave is about people intelligence rather than simple reporting  * Practical advice for HR teams deploying AI safely and strategically  Timestamps:  00:26 - Intro: The evolution of people analytics & Cole Napper’s background  01:08 - The roots and rise of HR analytics before AI became a buzzword  03:22 - The tremendous journey: from skepticism to credibility in analytics  04:38 - How COVID accelerated AI’s role in HR decision-making  05:07 - Influential luminaries shaping the analytics field  05:57 - Richard Rosenau’s pioneering efforts in analytics recognition  06:43 - The digital impact: How analytics influence real-world change  07:12 - Paying it forward: The importance of community and mentorship  08:15 - The torch carriers: Keeping analytics alive through new generations  09:00 - The threat of layoffs and AI’s false promise to replace analytics teams  09:48 - Recognizing the upcoming AI boom in HR and people analytics  11:09 - The challenge and opportunity: Organizing analytics teams in turbulent times  12:33 - The shift from building dashboards to strategic people intelligence  13:11 - Why risk-taking and experimentation are vital in transformative times  14:16 - The importance of trust, ethics, and human oversight in AI deployment  15:11 - The commoditization of data skills and the rise of strategic role of people intelligence  16:49 - How AI is changing the way we get notified and interact with insights  18:08 - The problem with push notifications and how to create demand for insights  19:41 - The true nature of predictive analytics: asking behind the questions  20:36 - The importance of context, data quality, and avoiding flawed signals  23:25 - The exponential evolution of data speed and the shrinking time to insights  28:17 - The real challenge: acting on predictions without destroying trust  30:23 - The costs of AI: tokenomics, data bills, and strategic investment  33:11 - The greatest data pitfall: messy, unclean HR data and its impact  36:39 - Embracing “Directionally Correct” — the pragmatic path forward  37:42 - The art versus science of compensation data  38:12 - The ultimate focus: solving the business problem  38:41 - Closing thoughts: leadership, trust, and being bold in AI-driven HR  Resources & Links:  * People Analytics: Reinventing HR & Work with AI [https://riverside.com/editor/76268577-3a51-45e7-9d9f-7dbc7377e03d/amazon.com/People-Analytics-Reinventing-HR-Work]  * Cole Napper - LinkedIn [https://linkedin.com/in/colenapper]  * HR Bench [https://hrbench.com/]  * Directionally Correct (Newsletter & Podcast) [https://directionallycorrect.com/]  Connect with Cole Napper:  * LinkedIn [https://linkedin.com/in/colenapper]  * Twitter [https://twitter.com/colenapper]

Peter Laughter - Rethinking HR Leadership in a Complex World

Get ready to have your perspectives shattered. Peter Laughter, a visionary in leadership and organizational strategy, dives deep into why traditional command-and-control models are crumbling and what leaders, especially in HR must do to adapt. This isn't just theory, it's a call to action, a blueprint for survival in the chaos of modern business.   In this episode:  * The fundamental flaws of command and control leadership in today’s complexity  * How HR can measure and diagnose organizational failures before they explode  * The transformative power of distributed leadership and democratized decision-making  * Why modern technology can be the key to faster, smarter, more human organizations  * The importance of listening to frontline voices and creating a culture of challenge    Timestamps:.  00:33 - Introduction to Peter Laughter's perspective on leadership  01:18 - Peter’s background in entrepreneurship and social impact focus  02:03 - The failure of command and control in complex environments  02:46 - HR’s role in creating new leadership pathways  03:18 - Fun facts: Peter’s brief career as an anthropologist  04:06 - Organizations hiring anthropologists to make tech more human  06:34 - Why current HR data metrics might be missing the mark  07:13 - Redesigning data measurement for complex systems  09:24 - The importance of tracking decision-making and response times  10:36 - The concept of Hubers Syndrome and organizational blindness  11:00 - Fail-safes and organizational feedback loops  12:14 - The impact of hierarchy on information flow and decision quality  13:17 - The challenges of speaking truth to power in leadership  14:36 - Military’s command flexibility vs corporate rigidity  15:04 - How frameworks and decentralization empower in decision-making  16:12 - Democratizing data and challenging old hierarchies  17:11 - The power of honesty and courage in leadership meetings  19:45 - The rise of entrepreneurial spirit sparked by workplace constraints  20:47 - When command and control fails in top organizations and why leaders are slow to react  24:10 - The changing cultural landscape and the craving for authentic leadership  27:22 - How distributed leadership models accelerate change  29:02 - Success stories of flat, autonomous organizations like Valve  33:00 - Measuring cultural shift and ethos through data  34:38 - Frontline engagement as a predictive metric for organizational health  36:25 - The critical role HR plays in shaping adaptive, resilient organizations  36:40 - Final thoughts: The urgency for HR to lead disruption and innovation  Resources & Links:  * Valve’s Handbook [https://www.valvesoftware.com/handbook] – Flat organization & manager-free culture  * Greg Sattel - Cascades [https://www.cascadesbook.com/] – Principles of distributed leadership  * Turn the Ship Around by David Marquette [https://riverside.com/amazon.com/dp/B0014DMLJG] – Leading from the point of decision  * Total Quality Management & Deming [https://deming.org/] – Foundations for organizational excellence  * Jenny’s Ice Cream & Zoe Schweitzer [https://jennyssports.com/] – Frontline leadership in HR  Connect with Peter Laughter:  * LinkedIn [https://www.linkedin.com/in/peterlaughter]  * Twitter [https://twitter.com/peterlaughter]  Ready to shake up your leadership and HR strategy? It’s time we move from fear-based hierarchies to trust-based, innovative organizations. The future is calling, will you answer?

Mike Ohata - The Implications for Tomorrow’s Workforce in Light of AI

Hold onto your seats, this episode cracks open the truth about AI and the workforce like never before! Mike Ohata shares his bold insights on how AI isn’t here to replace us but to transform how we lead, learn, and live. This isn’t just about automation; it's about human capability, culture, and daring to rethink everything. In this episode:  * Why AI’s doom-and-gloom narrative is superficial and how human leadership remains vital  * The real impact of AI on task automation versus redesigning work systems  * How to cultivate systems thinkers instead of linear learners in a rapidly evolving workplace  * The critical importance of judgment, empathy, and entrepreneurial skills in tomorrow's workforce  * Rethinking talent development: from skills inventories to ontologies that connect competencies  * The role of leaders in embracing AI with agility, curiosity, and ethical responsibility  * How AI can enable trade skills and encourage entrepreneurial thinking among trade professionals  * Navigating the tension between short-term cost cuts and long-term talent sustainability  * Why cultural fit and values matter more than ever in AI-driven organizational change  Timestamps:  00:00 - Introduction: Why this episode changes your view on AI and the future of work  01:22 - Mike’s background: Learning environments in professional services and talent development  03:30 - Fun fact about Chuck Todd and political anthropology as a lens for leadership insights  04:49 - The core dilemma: Is AI a threat or an opportunity for organizations?  05:01 - Debunking the AI doom narrative: Tasks vs. systems redesign  06:10 - The integral role of human-AI collaboration in future work  07:26 - Are current automation efforts just "lift and shift"? Or are they a chance to reinvent work?  08:49 - The profound implications of AI for leadership and systemic thinking  09:45 - Risks of resistance and misconceptions about AI adoption in the workplace  10:16 - Human skills like prompting, framing, and judgment as key in AI utilization  11:49 - Protecting institutional knowledge and combating ageism in AI integration  13:24 - Educational shifts: From memorization to systems thinking  14:34 - Leadership development for a connected, systemic mindset  15:07 - How easy answers can mislead us in AI’s era of complexity  16:41 - Redefining success: Outcome over process in a world of AI tools  17:08 - The evolving nature of regulated and unregulated work with AI  18:43 - Customer empathy, judgment, and the lasting importance of human touch  20:36 - The challenge of engaging frontline and hourly workers with AI and automation  21:53 - Is enterprise AI adoption a short-term cost play or a strategic transformation?  26:17 - What we’re really automating: From low-level analysis to high-level talent strategy  30:11 - The essential role of entrepreneurial skills for trade and technical professions  32:23 - Using skills inventories and ontologies to future-proof organizations  36:25 - Reskilling versus layoffs: How purpose and objectives shape talent decisions  37:51 - Beyond short-term profit: The long-term value of investing in people and culture  40:28 - Ethical considerations, collective values, and navigating AI’s future challenges Resources & Links:  * Book: Human + Machine: Reimagining Work in the Age of AI by H. James Wilson & Paul R. Daugherty [https://riverside.com/editor/d12a11d5-4c02-49e4-bf39-d3d5e24bacb8/amazon.com/Human-Machine-Reimagining-Work-Age/dp/0393662004]  * Mike Ohata - LinkedIn [https://linkedin.com/in/mikeohata]  * Understanding Ontologies in Skills & Competencies [https://www.researchgate.net/publication/327567135_Ontology_based_Skill_Frameworks]  * AI and Leadership: The Next Frontier – Harvard Business Review [https://hbr.org/2022/01/ai-and-leadership-the-next-frontier]  * The Future of Work in the Age of AI – McKinsey Report [https://www.mckinsey.com/featured-insights/future-of-work]  Connect with Mike Ohata:  * LinkedIn [https://linkedin.com/in/mikeohata]  * Twitter [https://twitter.com/mikeohata]  Note: This episode is a rallying cry to foster human-centric, ethical AI adoption, challenging the status quo and empowering organizations and individuals to adapt boldly.

Bruce Cohen - Building a Best-in-Class Performance Management System in 2026 and Beyond

Are you tired of outdated, ineffective performance reviews? Want your organization to thrive with motivated, aligned employees? This episode dives deep into transforming your performance management process into a powerhouse that drives results and engagement. Join us as Bruce Cohen, a seasoned HR leader, shares decades of insights from goal-setting to AI-driven tools and how to implement a system that’s continuous, clear, and compelling. In this episode:  * Why top companies prioritize ongoing performance feedback  * How to cascade goals effectively from leadership to every employee  * The critical difference between job descriptions and goals  * Using AI to enhance accuracy, consistency, and personalization  * The role of senior leadership support and leading by example  * Practical tips for managing self-assessments and overcoming recency bias  * The future of performance management with AI and data insights  Timestamps:  00:00 - Why performance management is crucial in 2026 and beyond  00:26 - Bruce Cohen introduces himself and his HR background  01:23 - The value of continuous feedback in employee motivation  02:33 - The importance of goal setting and clear communication  05:39 - The risks of infrequent reviews and how to shift the culture  08:01 - Upskilling managers for real-time coaching and feedback  10:14 - Leading with example in HR and organizational commitment  11:40 - Defining "best in class" performance systems  12:33 - Aligning goals with company objectives through cascading  15:22 - Using self-assessments to prepare for performance conversations  18:44 - Overcoming challenges with recency bias and self-evaluations  21:43 - The multiplier effect of ongoing feedback  25:17 - The transformative role of AI in performance management  28:23 - Practical steps for implementing AI tools effectively  33:48 - Five key steps to elevate your system post-episode Resources & Links:  * eCornell Organizational Design and Performance Courses [https://www.ecornell.com/]  * Book: "Radical Candor" by Kim Scott [https://www.amazon.com/Radical-Candor-Communicate-Care-Create/dp/0753554297]  * AI Tools for HR and Performance Management [https://www.ibm.com/watson]  * Leadership Support in HR [https://www.cornellhrconversation.com/]  Connect with Bruce Cohen:  * LinkedIn [https://www.linkedin.com/in/brucecohen]  * Twitter [https://twitter.com/brucecohen]    Let's revolutionize performance management together! Take these insights, leverage new technologies, and lead your organization to a more engaged, productive future. The time for change is now, don’t wait for the next review cycle to start transforming your system. Start today!