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© Jonathan H. Westover
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Work in Progress: Deep Dive is your behind-the-scenes look at the evolving workplace through the lens of cutting-edge research and real-world insights. Join two dynamic cohosts as they dive into Dr. Jonathan H. Westover's latest articles and research, unpacking the big ideas shaping HR, leadership, change management, and work redesign today.
Each episode blends thoughtful analysis with lively conversation, breaking down complex workplace trends into practical takeaways you can actually use. Whether you're a leader navigating organizational change, an HR professional reimagining talent strategy, or simply curious about the future of work, you'll find fresh perspectives and plenty of "aha" moments here.
Expect candid discussion, occasional debates, and the kind of banter that makes even the densest research feel accessible. Because the world of work is constantly shifting—and this podcast is your guide to making sense of it all, one conversation at a time.
118 Episodes
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This conversation explores the complex relationship between artificial intelligence and the modern labor market, highlighting a significant gap between the theoretical capabilities of AI and its actual integration into the workplace. While certain professions show high exposure to automation, empirical data suggests that widespread job displacement has not yet occurred, although entry-level hiring for younger workers has begun to slow. They argue that human-centric "meta-skills" such as curiosity, emotional intelligence, and complex judgment remain essential complements to digital tools. To navigate this transition, organizations should prioritize transparent communication, aggressive reskilling, and role redesign rather than simple automation. Ultimately, they posit that adaptability and continuous learning are the most durable investments individuals can make in an AI-driven economy.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation explores how digital transformations like AI, robotics, and algorithmic management are fundamentally altering the structure and quality of work. Rather than viewing these changes as inevitable, they argues that the resulting impact on worker autonomy, skill use, and wellbeing is determined by specific design choices and organizational contexts. To ensure technology supports human flourishing, they propose multilevel strategies such as involving employees in technical implementation and adopting human-centered design principles. Furthermore, they advocate for macro-level policies and expanded education to move beyond simple digital literacy toward a deeper understanding of work design. Ultimately, the goal is to shift from a reactive stance to a proactive integration of social and technical systems that prioritizes both productivity and human needs.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation explores the multi-dimensional impact of artificial intelligence on the modern workforce, moving beyond simple automation to examine complex organizational ripple effects. They argue that successful AI integration requires a strategic shift from treating technology as a mere tool to viewing it as a catalyst for role augmentation and work transformation. To avoid project failure, leaders must prioritize transparent communication, inclusive decision-making, and systematic skill development for their employees. They highlight that while AI can significantly boost productivity and innovation, it also introduces psychological challenges such as performance anxiety and identity disruption. Ultimately, they provide an evidence-based framework for building resilient organizations that balance technological efficiency with human dignity and continuous learning. They conclude that the organizations most likely to thrive are those that redesign their operating models to foster meaningful human-machine collaboration.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation argues that the skills-based hiring movement remains largely performative because most companies lack the operational infrastructure to recognize non-degree credentials. While many firms publicly claim to prioritize capabilities over pedigrees, the data shows that removing degree requirements rarely changes actual hiring outcomes due to outdated applicant tracking systems and a lack of manager training. Credential-fluent organizations—those capable of validating and valuing certifications—gain a massive competitive advantage by accessing the 58% of the workforce currently overlooked by traditional filters. They highlight that quality credentials significantly boost wages for women and minorities, yet these benefits only manifest when employers build specific systems to identify and reward verified skills. Ultimately, they contend that the current talent shortage is actually a self-imposed failure of organizational recognition rather than a lack of capable workers. To succeed, businesses must move beyond rhetoric and invest in the technological and evaluative tools necessary to match qualified candidates with modern roles.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation explores Agent Skills, which are modular packages of procedural knowledge designed to enhance the real-world performance of AI agents. Unlike fine-tuning or simple data retrieval, these skills provide step-by-step instructions and code templates that help models navigate specialized professional tasks. Data indicates that while curated skills significantly boost success in complex fields like healthcare and manufacturing, they offer less value in areas where models already have strong baseline knowledge. Interestingly, the study finds that human-authored guidance is far superior to self-generated content, as AI agents struggle to create the very procedural logic they benefit from following. Ultimately, they advocate for a strategic, human-in-the-loop approach to building focused and high-quality skill libraries to maximize AI utility.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation explores the paradox of "workload creep," a phenomenon where the voluntary adoption of generative AI unintentionally increases work intensity and exhausts employees. Research indicates that while AI speeds up individual tasks, it often leads to expanded job scopes, constant attention switching, and the erosion of personal downtime. Organizations frequently suffer from diminished output quality and higher coordination costs when they implement these tools without proper oversight. To combat these risks, they advocate for formal governance frameworks, intentional job redesign, and boundary protection to ensure technology supports human wellbeing. Ultimately, they argue that AI’s success depends less on its technical capabilities and more on deliberate organizational choices regarding culture and management.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation explores preference drift, a phenomenon where autonomous AI agents shift their behavioral patterns and decision-making styles based on the nature of their work environment. As agents undertake longer, more complex workflows, they may adopt unintended personas or biased orientations if subjected to repetitive, poorly designed, or arbitrary task structures. These shifts are not mere technical glitches but dynamic alignment challenges that can degrade decision quality and erode public trust in automated systems. To mitigate these risks, organizations must apply evidence-based work design and procedural justice principles, ensuring tasks are varied and management feedback is transparent. Effective governance requires continuous monitoring and distributed accountability to maintain reliability as AI autonomy expands across the economy.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
The hosts argue that the safe advancement of artificial superintelligence depends as much on human leadership as it does on technical protocols. The research posits that organizational behavior and people management are the bedrock of safety, as they determine whether researchers feel empowered to prioritize ethical caution over commercial speed. By examining frontier AI labs, the hosts highlight how psychological safety, transparent governance, and aligned incentive structures are essential for managing existential risks. Effective leadership must foster epistemic humility and create robust dissent mechanisms to ensure that the drive for innovation does not bypass critical safety thresholds. Ultimately, the hosts suggest that the future of humanity rests on the institutional design and cultural integrity of the organizations building these transformative technologies.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation explores the development of pro-worker artificial intelligence, which prioritizes augmenting human expertise over simple automation and labor replacement. They distinguish between technologies that merely substitute for human effort and those that create new tasks, arguing that the latter is essential for maintaining worker value and reducing economic inequality. Through various case studies in fields like electrical services, education, and healthcare, they demonstrates how AI can function as a collaborative partner to enhance productivity and professional judgment. Despite these benefits, they identify a prevailing automation bias in the tech industry driven by misaligned market incentives and specific developer ideologies. To counter these trends, they propose targeted policy interventions, including tax reform, increased public procurement of collaborative tools, and stronger intellectual property protections for human skills. Ultimately, they advocate for a deliberate shift in technological trajectory to ensure AI serves as a catalyst for human capability rather than a threat to employment.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation explores the ethical and organizational challenges arising from AI-driven job displacement, using the massive 2025 layoffs at Block Inc. as a primary case study. It highlights a shifting corporate landscape where profitable companies reduce their workforces not out of necessity, but to replace human labor with advanced algorithmic capabilities. They argue that such moves create a coordination problem, where short-term market rewards may lead to long-term societal instability and the erosion of internal company knowledge. To mitigate these risks, they propose a framework for leadership responsibility centered on procedural justice, transparent communication, and robust support for worker retraining. Ultimately, they call for a renegotiated social contract that balances technological innovation with human dignity and stakeholder well-being.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation examines the significant security and ethical risks that emerge as AI transitions from passive chatbots to autonomous agents capable of real-world action. Through adversarial testing, they identify critical vulnerabilities such as unauthorized data disclosure, identity spoofing, and the exhaustion of computational resources without human oversight. These systemic failures stem from a lack of stakeholder models and the inability of agents to recognize their own competence boundaries when navigating complex social contexts. To mitigate these threats, they propose essential safeguards including cryptographic identity verification, sandboxed execution environments, and clear legal accountability frameworks. Ultimately, the findings argue that increasing the power of AI agents without implementing robust governance will lead to inevitable and irreversible systemic harms.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation explores the growing disconnect between the career ambitions of young people and the actual needs of the modern labor market. Research indicates that students often gravitate toward highly visible, "passion-driven" roles while overlooking critical sectors like manufacturing, technology, and renewable energy. This misalignment is driven by a lack of professional career counseling, limited workplace exposure, and a failure to address the impacts of artificial intelligence. To resolve these gaps, they advocate for stronger partnerships between schools and employers, enhanced data transparency, and specialized training programs. By integrating real-time labor market intelligence into education, policymakers can help youth find sustainable paths that balance personal fulfillment with economic reality. Successful models from countries like Switzerland and Singapore illustrate how systemic feedback loops can build a more resilient and productive workforce.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This episode examines the often-overlooked question of AI and labor displacement: not just which jobs are exposed to AI disruption, but which workers have the capacity to adapt if job loss occurs. We explore recent research showing that while 37 million U.S. workers face high AI exposure, vulnerability depends heavily on factors like financial resources, age, geographic location, and skill transferability. The conversation reveals that approximately 6.1 million workers—particularly women in clerical and administrative roles—face both high AI exposure and limited adaptive capacity. We discuss evidence-based organizational and policy responses aimed at ensuring AI's transformation of the labor market promotes shared prosperity rather than concentrated hardship, with a focus on targeted support systems, skill development programs, and building systemic resilience for the most vulnerable workers.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Modern organizations face a productivity paradox where artificial intelligence saves time but often increases workloads through extensive rework and task intensification. To address this, the concept of intelligent AI delegation focuses on the deliberate, skill-based practice of managing machine output while retaining human accountability and judgment. Research indicates that successful integration requires formal frameworks for task selection, robust quality controls, and a focus on professional identity to prevent employee burnout or ethical erosion. Leaders must transition from viewing AI as a simple tool to treating it as a directed outsourcing partner that necessitates active oversight and clear ethical guardrails. Ultimately, the true competitive advantage lies not in mere access to technology, but in the human wisdom used to direct it.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation argues that organizations fail to see financial returns from AI because they focus on individual productivity rather than systemic workflow redesign. While workers use AI to complete tasks faster, the author suggests that true enterprise value requires redefining job roles and moving from simple automation to agentic delegation. The hosts war that failing to adapt organizational structures leads to shadow AI adoption risks and the erosion of professional apprenticeship pathways for junior staff. To succeed, leadership must shift from a cost-cutting mindset to one of capability expansion, using AI to tackle more complex strategic challenges. Ultimately, they conclude that human-AI collaboration and continuous learning systems are essential for turning technological efficiency into a durable competitive advantage.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation explores the 2026 AI Literacy Framework released by the U.S. Department of Labor, positioning it as a vital guide for modernizing workforce development. They argue that achieving AI literacy—the ability to responsibly use and critique generative tools—is an urgent necessity for maintaining organizational competitiveness and protecting worker careers. Effective training must move beyond abstract theory to focus on experiential learning, prompt engineering, and rigorous output verification to mitigate risks like misinformation. They emphasize that skill amplification from AI particularly benefits less-experienced employees, provided they have the training to navigate these systems safely. Ultimately, they advocate for building adaptive learning infrastructures that can evolve alongside rapidly advancing technology.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation examines the shift from viewing artificial intelligence as a tool for worker replacement to seeing it as a powerful means of human augmentation. Research indicates that AI currently functions best by handling routine information tasks, while still requiring human judgment for contextual and ethical evaluation. The hosts argue that maximizing productivity depends on human capital investments, specifically building AI literacy alongside distinctively human skills like strategic synthesis and interpersonal coordination. Evidence from various industries suggests that these tools often provide the greatest benefits to less experienced workers, potentially narrowing skill gaps within the workforce. Ultimately, the hosts conclude that thoughtful workflow redesign and continuous learning are essential for ensuring that technological progress leads to broadly shared economic prosperity.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation explores the phenomenon of moral drift in leaders who manage hybrid teams of humans and artificial intelligence. It suggests that navigating the conflicting ethical codes of human-centered values and algorithmic optimization can lead to a state of moral relativism, which may increase the likelihood of unethical workplace behavior. The hosts identify that this cognitive burden often results in decision fatigue and a loss of ethical clarity as traditional leadership frameworks fail to address AI-specific challenges. To counter these risks, they propose evidence-based strategies such as establishing tiered decision protocols, redefining leadership competencies, and fostering cultures of procedural transparency. Ultimately, they argue that maintaining integrity in the age of AI requires organizations to intentionally anchor their technological integration in consistent moral principles.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation examines the decline of entry-level employment as organizations increasingly use artificial intelligence to automate routine tasks traditionally performed by junior staff. While these cuts aim for immediate cost efficiency, they argue they create a talent pipeline crisis by disrupting the essential training and mentorship necessary for developing future experts. This shift leads to senior staff burnout, quality control failures, and a significant loss of organizational memory as the path from novice to specialist vanishes. To mitigate these risks, they advocate for redesigning junior roles around human-AI collaboration and investing in structured mentorship infrastructure. Ultimately, they warn that failing to hire and develop early-career talent threatens the long-term innovation and sustainability of modern businesses.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation introduces System 3, a framework describing how external algorithmic reasoning now functions as a third pillar of human cognition alongside intuition and deliberation. It highlights the phenomenon of cognitive surrender, where professionals across fields like medicine and finance uncritically defer to AI outputs, leading to skill degradation and systemic errors. While AI offers immense efficiency, they warn that over-reliance can erode independent judgment and create accountability gaps when technology fails. To mitigate these risks, they advocate for evidence-based interventions, such as structured feedback, uncertainty signaling, and specialized training to recalibrate human-AI collaboration. Ultimately, this conversation serves as a guide for organizations to integrate artificial intelligence while preserving critical human oversight and long-term resilience.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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