Workestration

Stela Lupushor and Donna Scarola

Work, technology, skills. re-orchestrated. Hosted by HR practitioners Donna Scarola and Stela Lupushor, workestration.ai spotlights AI innovation and what it means for people, teams, and results. Each episode brings Doers (HR leaders), Builders (startup founders, consultants), and Shapers (economists, ethicists, computer scientists) to share what’s working, what isn’t, and what to try now.

Episodes

  1. The 21st Century Renaissance Workplace: HR in the Age of AI

    May 11

    The 21st Century Renaissance Workplace: HR in the Age of AI

    On the Workestration podcast, hosts Stela Lupushor and Donnas Scarola speak with Jeff Schwartz (VP at Gloat, author of “Work Disrupted” and “Workforce Ecosystems,” and Columbia Business School professor) about navigating the future of work in 2026 as AI accelerates. Schwartz argues leaders need “new maps” to move beyond old either/or frames (human vs. machine, employee vs. contractor) and focus on integrated automation and augmentation, super teams, and work orchestration. The conversation explores the shift from pilots to enterprise AI, the need to redesign work around outcomes rather than optimize existing processes, and the idea of “renaissance” roles enabled by AI (illustrated with radiology). Schwartz highlights Deloitte data that 84% of companies haven’t started redesigning work, emphasizes workforce ecosystems that include employees, contractors, and technology, and discusses evolving expectations for HR and managers as designers, coaches, and navigators, alongside concerns about individual adaptation, organizational speed, and public policy transition nets. 00:00 Welcome to Workestration 00:39 Meet Jeff Schwartz 02:10 New Maps for Work 06:23 Beyond AI vs Human 09:34 From Pilots to Redesign 14:35 Rethinking Jobs and Careers 24:08 Beyond Work Disrupted 29:28 Renaissance Work Example 33:14 Reimagining HR for 2030 42:55 Workforce Ecosystems Shift 45:03 What Keeps Jeff Up 47:58 HR as Navigators 50:08 Closing and Part Two You can contact Jeff at: Email:  jeff.s@gloat.com; jls2387@columbia.com Linkedin: https://www.linkedin.com/in/jeff-schwartz-future-of-work-disrupted/ Websites: gloat.com; https://www.fowdisrupted.com/; https://business.columbia.edu/faculty/people/jeffrey-schwartz

    51 min
  2. From Davos to the Workplace: Practical AI, Radical Uncertainty, and Talent Transformation with Yelena Mammadova, EdD

    Mar 4

    From Davos to the Workplace: Practical AI, Radical Uncertainty, and Talent Transformation with Yelena Mammadova, EdD

    On the Workestration podcast, hosts Donna Scarola and Stela Lupushor speak with Yelena Mammadova Ed.D, fresh from Davos, about three themes shaping the 2026 AI trajectory: more grounded, pragmatic AI discussions (constraints like energy and ROI, plus societal impact), leadership in “radical uncertainty,” and the widening gap between technology advancement and people readiness. Yelena argues AI value must be judged by society, not just tech companies, and emphasizes that adoption requires workflow redesign, transparency, explainability, and safe space to experiment and fail forward. She describes her role at Microsoft at the intersection of product strategy and workforce transformation, building “people products” that interpret talent using observed, declared, and increasingly powerful inferred skills from work activity signals. The conversation covers intentional talent mobility, challenges of becoming truly skills-based, and Yelena’s personal AI use via a Researcher agent while writing a book. 00:00 Introduction to the Workestration Podcast 01:25 Insights from Davos: AI and Leadership 04:53 The Role of HR in AI Transformation 08:52 Yelena's Career Journey and Role 10:37 Building AI-Powered Tools for the Workforce 18:19 AI and Skills Data: Observations and Challenges 31:40 The Future of Skills-Based Organizations 34:21 Personal Use of AI and Final Thoughts 40:10 Conclusion and Forward-Looking Statements

    43 min
  3. Episode 3. Team Human? Team Machine? And Us (p2 of 2)

    Jan 4

    Episode 3. Team Human? Team Machine? And Us (p2 of 2)

    In this episode of the Workestration podcast, hosts Donna and Stela welcome Douglas Rushkoff and Amar Bakshi, co-founders of Andus Labs. The conversation explores the evolving nature of work in the AI era, touching on themes such as the historical control over labor, the future of meaningful work, and the societal implications of artificial intelligence. Douglas and Amar discuss the potential for AI to restore human-centric, value-based work environments and the importance of collective action. They also reflect on how HR leaders can navigate these changes and the innovative approaches of Andus Labs in fostering a generative mindset within organizations. The discussion emphasizes the need for authenticity, human connection, and the re-imagination of value in the workplace.00:00 Team Human? Team Machine? And Us (p2) w/Douglas Rushkoff & Amar Bakshi co-founders of Andus Labs02:28 Introduction and Welcome02:38 The Changing Meaning of Work03:45 Reconnecting Work with Human Needs05:34 The Role of AI in the Future of Work06:30 Shared Studios and the Importance of Purpose10:05 The Impact of Automation on Jobs16:16 The Future of AI and Human Collaboration27:02 Building a Generative Mindset37:23 Conclusion and Final Thoughts Mentioned in the episode is Civic: A system for public data, built on public collaboration; Technics and Civilization book by Lewis Mumford  Douglas' Books: Team Human, Survival of the Richest, Present Shock, Throwing Rocks at the Google Bus and his Team Human podcast. Amar's other ventures: Shared Studios, Noro, MIT center for constructive communication. And their joint venture - Andus Labs.

    44 min

About

Work, technology, skills. re-orchestrated. Hosted by HR practitioners Donna Scarola and Stela Lupushor, workestration.ai spotlights AI innovation and what it means for people, teams, and results. Each episode brings Doers (HR leaders), Builders (startup founders, consultants), and Shapers (economists, ethicists, computer scientists) to share what’s working, what isn’t, and what to try now.