Featuring scholarly and practitioner insights from HR and people leaders, industry experts, and researchers.

In this HCI Webinar, I talk with Luis Garcia about personalized adaptive workplace learning and assessment. Luis Garcia is a seasoned international executive with over 25 years of experience in technology, digital media, and education. He specializes in driving new ventures and products to rapid growth by building effective teams that harness innovation, technology, and creativity to solve complex problems. He is the president of PETE, an Orlando-based tech startup that offers a suite of cost-effective and customizable solutions that enable organizations to deliver personalized workforce learning at scale. The PETE team is dedicated to harnessing the power of AI to help organizations of all sizes optimize their training initiatives, spanning from onboarding to regulatory compliance, product knowledge, technical skills, and more, without hiring additional training resources.

This research explores a fundamental shift in human resources, moving away from traditional administrative departments toward AI-accelerated operating models. Major consulting firms and industry leaders are advocating for a role architecture that prioritizes strategic workforce design, data fluency, and human-machine collaboration. By automating routine tasks and redistributing responsibilities, these new frameworks aim to increase organizational agility and operational efficiency. However, the research cautions that simply dismantling HR without building managerial capability and ethical AI governance can lead to significant legal risks and decreased employee well-being. Ultimately, the research emphasizes that sustainable transformation requires proactive redesign based on business outcomes rather than reactive cost-cutting.

This research explores a fundamental shift in human resources, moving away from traditional administrative departments toward AI-accelerated operating models. Major consulting firms and industry leaders are advocating for a role architecture that prioritizes strategic workforce design, data fluency, and human-machine collaboration. By automating routine tasks and redistributing responsibilities, these new frameworks aim to increase organizational agility and operational efficiency. However, the research cautions that simply dismantling HR without building managerial capability and ethical AI governance can lead to significant legal risks and decreased employee well-being. Ultimately, the research emphasizes that sustainable transformation requires proactive redesign based on business outcomes rather than reactive cost-cutting. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This research explores a fundamental shift in human resources, moving away from traditional administrative departments toward AI-accelerated operating models. Major consulting firms and industry leaders are advocating for a role architecture that prioritizes strategic workforce design, data fluency, and human-machine collaboration. By automating routine tasks and redistributing responsibilities, these new frameworks aim to increase organizational agility and operational efficiency. However, the research cautions that simply dismantling HR without building managerial capability and ethical AI governance can lead to significant legal risks and decreased employee well-being. Ultimately, the research emphasizes that sustainable transformation requires proactive redesign based on business outcomes rather than reactive cost-cutting. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This research explores a fundamental shift in human resources, moving away from traditional administrative departments toward AI-accelerated operating models. Major consulting firms and industry leaders are advocating for a role architecture that prioritizes strategic workforce design, data fluency, and human-machine collaboration. By automating routine tasks and redistributing responsibilities, these new frameworks aim to increase organizational agility and operational efficiency. However, the research cautions that simply dismantling HR without building managerial capability and ethical AI governance can lead to significant legal risks and decreased employee well-being. Ultimately, the research emphasizes that sustainable transformation requires proactive redesign based on business outcomes rather than reactive cost-cutting. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this podcast episode, Dr. Jonathan H. Westover talks with Luis Garcia about personalized adaptive workplace learning and assessment. Luis Garcia is a seasoned international executive with over 25 years of experience in technology, digital media, and education. He specializes in driving new ventures and products to rapid growth by building effective teams that harness innovation, technology, and creativity to solve complex problems. He is the president of PETE, an Orlando-based tech startup that offers a suite of cost-effective and customizable solutions that enable organizations to deliver personalized workforce learning at scale. The PETE team is dedicated to harnessing the power of AI to help organizations of all sizes optimize their training initiatives, spanning from onboarding to regulatory compliance, product knowledge, technical skills, and more, without hiring additional training resources. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Abstract: The dismantling of traditional HR functions by high-profile executives signals a fundamental reckoning with how organizations manage their people operations. This article examines four future-oriented HR operating models—from Wowledge, McKinsey, Deloitte, and Mercer—that propose radically different role architectures for the AI era. Rather than eliminating people-management work, these models redistribute it through specialized roles designed for strategic impact, technological fluency, and operational efficiency. Analysis reveals convergence around core capabilities: architectural thinking for workforce design, data-driven decision-making, agile service delivery, and human-machine collaboration. The article traces evolution pathways for traditional HR roles, examines organizational consequences of poorly executed transitions, and provides evidence-based guidance for building sustainable people-operations capabilities. Leaders must proactively redesign their HR functions before market pressures force reactive dismantlement that fragments critical governance, escalates risk, and degrades employee experience. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This research explores the psychological factors behind why certain executives aggressively oppose remote work, arguing that narcissism is a primary motivator for return-to-office mandates. The research suggests that narcissistic leaders resist virtual arrangements because digital communication limits their ability to exert physical dominance and receive constant social admiration. While many managers publicly cite productivity or corporate culture as reasons for ending flexibility, the research posits that these justifications often mask a deep-seated need for power and status. These ego-driven decisions frequently conflict with empirical data, which shows that rigid mandates can lead to talent attrition and decreased employee satisfaction. To counter these dynamics, the research recommends that organizations adopt transparent policy-making and prioritize humble leadership over charismatic authority. Ultimately, the analysis frames the future of work as a struggle between modern flexibility and traditional, ego-centric management styles.