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Lyt når som helst, hvor som helst 

Dan Turchin

🏆 Ranked #3, Best 30 HR Tech Podcasts in the US — Million Podcasts (2026). Host Dan Turchin, PeopleReign CEO, explores how AI is changing the workplace. He interviews thought leaders and technologists from industry and academia who share their experiences and insights about artificial intelligence and what it means to be human in the era of AI-driven automation. Learn more about PeopleReign, the system of intelligence for IT and HR employee service: http://www.peoplereign.io.

AI and the Future of Work

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Theresita Richard is Chief People and Culture Officer at Patagonia, where she is approaching her third anniversary with the company. Before Patagonia, she built her career across some of the most recognized names in retail, including Home Depot, Target, Starbucks, and Nordstrom, after starting out as an industrial engineer leading a two-year project on how new technology was reshaping manufacturing work.

At Patagonia, Theresita carries the responsibility of stewarding a culture built around a single, deceptively simple mission: to be in business to save the home planet. That means holding the tension between profit and purpose in every decision, and now, figuring out where AI fits into a company that has always insisted on doing things the harder, more human way.

In this episode, Theresita draws on a career that began in manufacturing automation and has led her to guard the soul of one of the most purpose-driven companies in the world, to argue that AI will not fix a broken culture. It will only reveal it, and the responsibility to get that right has never been more real.

In this conversation, we discuss:

 • Why Patagonia evaluates potential hires based on purpose alignment rather than culture fit, and how the company builds an environment where people stay for a reason, a season, or a lifetime.
 • How Patagonia's "pair clarity with choice" principle lets culture self-select who belongs, without anyone having to enforce it.
 • Why AI does not create new problems inside a company, and why AI will always amplify the cracks and biases already present in our foundations.
 • Why enlightened leadership in a rapidly shifting technological landscape requires extreme vulnerability, community building, and the courage to sit with difficult questions.
 • How the conversation around AI in the workplace must shift from driving pure efficiency to genuinely nourishing the human soul and promoting human flourishing.
 • How a grandfather with a third-grade education taught the one skill that no shift in technology has ever made irrelevant.

Explore this conversation:

00:00 Introducing Theresita Richard: From Industrial Engineer to Patagonia CHRO

03:25 Inside Patagonia's Culture: Life at the Anti-Corporate Corporation

04:35 The Company Has a Soul: Stewarding Patagonia's Legacy and Its Future Stories

06:49 Made or Born Patagonian: Why Alignment Matters More Than Culture Fit

09:36 In Business to Save Our Home Planet: Why Profit and Purpose Are Not a Trade-Off

11:03 Pair Clarity With Choice: How Culture Self-Selects Without Enforcement

13:26 Beyond HR as Compliance: Nourishing the Human Soul at Work

15:48 The Ground Is Shaking: Why AI Cannot Be a Conversation About Efficiency Alone

19:52 Ally or Adversary: Honest Conversations About What Gets Automated and Augmented

22:23 Two Approaches to Leadership: Vulnerability, Community, and Sitting With the Questions

25:47 Measuring AI: Why It Reveals the Cracks in Your Foundation

28:27 Not What AI Can Do but What It Should: Bias, Guardrails, and Safe-to-Fail Experiments

33:04 The Racist Soap Dispenser: What Meredith Broussard's Work Reveals About AI Bias

36:37 Willie and Pearl: The Origin Story Behind Following the Question

 

Resources:

Subscribe to the AI & The Future of Work NewsletterConnect with Theresita on LinkedIn • Other episodes mentioned:
Meredith Broussard, NYU professor, AI ethics authority, and featured expert in Coded Bias, discusses the social implications of AI
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Join Dan Turchin and 3 seasoned technology and people leaders on Sept. 17 for an executive discussion on AI, leadership, and the future of work. Attendees will receive a complimentary personalized AI Maturity Industry Benchmarks Report ($499 value). Reserve your seat: https://go.peoplereign.io/virtual-event-when-intelligence-is-everywhere-intelligence-is-nowhere

401: Theresita Richard, CHRO at Patagonia: AI Won't Fix Your Culture, It Will Expose It

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Wade Foster is the CEO and co-founder of Zapier, the workflow automation and AI orchestration platform used by more than 4 million people to connect over 7,000 work apps. Since launching in the Y Combinator Summer 2012 batch, Zapier has automated more than 81 billion tasks, users have built more than 25 million Zaps, and the company has bootstrapped its way to a valuation north of $5 billion.

He holds degrees in industrial engineering and business administration from the University of Missouri, and has spent more than a decade on a single problem: making the tools people work in every day work for them instead of against them. He is also one of the show's rare repeat guests. His first conversation with Dan was in January 2024, back when coding agents mostly did not work.

In this episode, Wade draws on running the automation layer that sits between thousands of enterprise tools to argue that the frontier model leap of late 2025 handed every knowledge worker an engineer, and that the companies still waiting on returns are the ones that never changed how the work itself gets done.

In this conversation, we discuss:

 • Why the late 2025 model leap means every knowledge worker now has an engineer, and what that changes about ordinary work.
 • Where deterministic workflows still beat AI at work, and why the most sophisticated teams refuse to choose between the two.
 • What happens when white collar workers start pasting API keys into files, and the third option most security leaders are missing.
 • Why Wade says culture, not tooling, is the real constraint, and what leaders get wrong when the board demands AI first.
 • Why individuals report real AI gains while their organizations report none, and what has to be rethought before that gap closes.
 • How Zapier built its AI Fluency Framework from its own teams, and why version one was already dated the day it shipped.

Explore this conversation:

00:00 Welcome to Episode 400

02:01 AI Fun Fact: Is Agentic AI the End of SaaS Tools?

04:35 Introducing Wade Foster: How Zapier Bootstrapped to 81 Billion Automated Tasks

06:01 From Coding Agents That Kind of Worked to an Engineer for Every Knowledge Worker

07:53 What Zapier Does Today: Deterministic Workflows Meet Non-Deterministic AI

11:12 Hybrid Workflows: Build It With AI, Run It Like a Program

13:30 MCP and the Orchestration Layer: API Keys, Agent Harnesses, and the Daily Recap

20:23 The Third Option for CISOs: Governing AI Agents Without Saying No

24:00 Foot Guns and Default Settings: The Product Judgment Behind Agent Permissions

27:03 Accountability When Software Is No Longer Deterministic: Evals and Spec Adherence

28:34 AI Strategy Office Hours: Why Individual AI Gains Are Not Becoming Institutional ROI

33:03 The Zapier AI Fluency Framework: Why Version One Was Dated on Arrival

36:15 Looking Ahead to 2028: The Hive Mind Company and a New Management Playbook

Resources:

Subscribe to the AI & The Future of Work NewsletterConnect with Wade on LinkedInAI fun fact articleOn How One Good Decision Made Thomas Otter The Accidental HR Tech Pioneer
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Join Dan Turchin and 3 seasoned technology and people leaders on Sept. 17 for an executive discussion on AI, leadership, and the future of work. Attendees will receive a complimentary personalized AI Maturity Industry Benchmarks Report ($499 value). Reserve your seat: https://go.peoplereign.io/virtual-event-when-intelligence-is-everywhere-intelligence-is-nowhere

400: Wade Foster, Zapier CEO: What Happens When Every Knowledge Worker Gets a Coding Engine

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Vasant Dhar teaches data science at NYU's Stern School of Business and has spent more than 45 years at the frontier of artificial intelligence. He brought machine learning to Wall Street in the 1990s and founded SCT Capital Management, one of the first machine learning based hedge funds.

He hosts the Brave New World podcast, downloaded more than a million times, where he has interviewed Nobel laureates, technologists, and global thinkers on the implications of AI. His work has appeared in The New York Times, The Wall Street Journal, Financial Times, Wired, and MIT Technology Review. His latest book, Thinking with Machines, traces AI from its origins to the present.

For more than forty years, Vasant has built systems that sat right on the edge of human trust. People had to decide whether to rely on them or walk away.

In this episode, he makes a stark claim: AI will not just change how we work; it will sort us into two groups. One uses it to extend their judgment. The other slowly hands that judgment over. The gap comes down to habits you are forming today, not some distant future.

In this conversation, we discuss:

 • Why trusting AI comes down to just two variables, and the simple test Vasant has applied since his Harvard Business Review piece a decade ago
 • The bifurcation Vasant believes AI is about to create, splitting humanity into two groups, and which side you do not want to be on
 • What tennis great Roger Federer's win rate reveals about succeeding with algorithms, and the counterintuitive math behind every winning edge 
 • Why the edge returns to humans the moment everyone runs the same algorithms, and what only people can do in situations no system has seen 
 • The one word in the title Thinking with Machines that Vasant says matters most, and what it asks of how we work alongside AI
 • The areas of life where Vasant argues we may need to restrict AI entirely, and the legal framework we already have to govern it

Explore the Conversation
 
00:00 Intro & AI Fun Fact: Trustworthy AI from Principles to Practice
04:13 Meet Vasant Dhar: From the Internist System to Machine Learning on Wall Street
07:10 The Origins of Thinking with Machines: The Biggest Surprise in 45 Years of AI
09:33 Written for Everyone: AI's Accelerating Pace and the Call to Get Engaged
11:23 When to Trust an Algorithm: The Green Zone and the Human Edge
20:24 The Bifurcation of Humanity: Superhuman Amplification or Cognitive Decline
24:52 The Four Eras of Machine Intelligence: From Specification to General Intelligence
29:22 The Ethics of AI Agency: Where Machines Need Limits and Obligations
34:14 Who Governs AI: Tort Law, Liability, and Emerging Legal Precedent
37:44 AI in 2036: Multisensory Machines and the Integration of the Senses
40:33 Teaching Machines to Smell: AI, Olfaction, and Disease Detection
43:35 Where to Find Thinking with Machines and Connect with Vasant Dhar 

Resources:

Subscribe to the AI & The Future of Work NewsletterConnect with Vasant on LinkedInAI fun fact articleOn the decision sprint process with Atif Rafiq, CEO & Bestselling Author
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Join Dan Turchin and 3 seasoned technology and people leaders on Sept. 17 for an executive discussion on AI, leadership, and the future of work. Attendees will receive a complimentary personalized AI Maturity Industry Benchmarks Report ($499 value). Reserve your seat: https://go.peoplereign.io/virtual-event-when-intelligence-is-everywhere-intelligence-is-nowhere

399: Vasant Dhar, NYU Stern Professor, on the New Divide: Superhuman With AI or Dependent on It?

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Ariel Assaraf is the CEO and co-founder of Coralogix, a leading observability platform that most recently raised $115 million at a unicorn valuation. He started the company in 2014, and today Coralogix serves more than 4,000 customers, monitors more than 500,000 applications, and processes over 3 million events per second.

Before co-founding Coralogix, Ariel served in Israel's Elite Intelligence Unit 8200, where the sheer scale and complexity of data he worked with made one thing clear: existing architectures weren't built for what was coming. He later joined Varent Systems, a homeland security company, leading automation, integration, and QA.

In this episode, Ariel draws on more than a decade of building at the frontier of data infrastructure to argue that observability is no longer just a tool for preventing downtime. It is becoming the most truthful, real-time source of intelligence any company owns.

In this conversation, we discuss:

 • The evolution from the data collection era ("oil phase") to a landfill crisis, and now the AI-driven "brain phase" where telemetry has become the most valuable raw material for business decision making
 • How Coralogix separates the data plane from the control plane, storing data in open format on the customer's own infrastructure to enable data ownership, infinite retention, and freedom from vendor lock-in
 • Why Ariel invested over $100 million in R&D to build query engines that always return answers, not constrained by predefined schemas that agents will quickly exceed
 • How SREs evolve from reactive incident responders into autonomous operators as agents like Ollie, Coralogix's AI agent, take over incident triage, root cause analysis, and narrative generation
 • The emerging role of the AI-forward product manager who sits between customer needs and autonomous agents, reshaping how software gets built, priced, and sold in real time
 • How Ariel thinks about linear versus exponential impact as a leadership principle, and why the intuition to prioritize exponential value is something agents will never replicate

Explore more in the conversation:

00:00 Welcome & AI's societal impact paradox

01:53 AI Fun Fact: New data on productivity and employment

04:15 Introducing Ariel Assaraf and the Coralogix origin story

05:15 Evolving data architecture: from oil to landfill to brain phase

07:28 Coralogix's data ownership and open format advantages

13:27 From telemetry data lake to autonomous, agent-driven analytics

20:00 Building scalable, answer-guaranteeing query engines for complex data

25:44 The future of natural language interfaces like Olly for SREs and DevOps

28:15 Orchestrating multiple AI agents for better decision-making

30:20 Responsibility, autonomy, and the evolving role of customer success

35:37 How Coralogix turns telemetry into strategic business decisions

38:18 Linear vs. exponential value in your career

Resources:

Subscribe to the AI & The Future of Work NewsletterConnect with Ariel on LinkedInAI fun fact articleOn How Personalized Healthcare Is Being Transformed Through AI and the Human Microbiome
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Join Dan Turchin and 3 seasoned technology and people leaders on Sept. 17 for an executive discussion on AI, leadership, and the future of work. Attendees will receive a complimentary personalized AI Maturity Industry Benchmarks Report ($499 value). Reserve your seat: https://go.peoplereign.io/virtual-event-when-intelligence-is-everywhere-intelligence-is-nowhere

398: Ariel Assaraf, CEO and Co-Founder of Coralogix, on How AI Turns Observability into Business Intelligence

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Maryjo Charbonnier is the former CHRO and Executive Advisor at Kyndryl, the world's largest provider of IT infrastructure services , with more than 70,000 employees across roughly 60 countries. When Kyndryl was spun out of IBM in 2021 as one of the largest public company spin-offs in history, Maryjo helped build its culture and people strategy from the ground up, which is why she and others have called it the world's largest startup.

She has spent nearly two decades as a public company CHRO on both sides of the Atlantic, including Wolters Kluwer (traded on the Dutch exchange) and Broadridge Financial Solutions, after a formative run at PepsiCo where she led change management for Frito-Lay. She was named CHRO of the Year in the Netherlands and earned her MBA at Southern Methodist University.

In this episode, Maryjo draws on a career spent leading messy transformations and building a 70,000-person workforce to argue that as AI automates tasks and chunks of jobs, the work that defines a career is moving from what you know to how you judge, lead, and decide, and most organizations are not teaching for it yet.

In this conversation, we discuss:

 • Why Maryjo “seeks the heat” in messy transformations and what she learned leading HR through turnarounds, spin‑offs, and large‑scale change.
 • How Kyndryl defined the “Kyndryl way” with six core behaviors and uses culture as an operating plan in the world’s largest startup.
 • Why HR must focus on which skills are rare and most valuable, and how Kyndryl’s Make Yourself Discoverable campaign turned skills into a strategic asset.
 • How AI-powered career profiles, skills-based redeployment, and role-specific AI curricula were intentionally designed to show Kyndryls that AI is an asset to their career, not a threat to it.
 • Why Maryjo believes HR has three roles in AI, including reshaping commercial work and building an AI governance council that balances speed with risk.
 • How leadership “ORE” (organizational design, risk management, empathy) and human skills like change management and people leadership will define careers in an AI‑enabled workplace

 

Explore the Conversation

00:00 Intro and AI Fun Fact: Bias in AI Hiring Tools and Your Rights as an Applicant

03:46 Meet Maryjo Charbonnier: CHRO at Kyndryl, the World's Largest IT Infrastructure Provider

05:29 Seek the Heat: Why Career Growth Lives Where the Problems Are

07:19 Building Culture at the World's Largest Startup: Why Kyndryl Doesn't Say "Employees"

09:58 The Real Function of HR: Helping Human Beings Excel at Work

12:35 The Employee-Employer Relationship When Everyone Fears an AI Replacement

15:45 The Three Roles of HR in AI and Defining the Skills That Matter Most

19:05 Make Yourself Discoverable: Operationalizing Skills Data From 1.0 to 3.0

23:15 Leadership in the Age of AI: Closing the Trust Gap With the ORE Framework

28:51 The Future Org Chart: Why Every New Technology Brings a Boom of Jobs

31:51 Advice to the Kids: Why You Get Paid for People Leadership, Not Just Smarts

35:28 Where to Connect With Maryjo Charbonnier and Kyndryl

 

Resources:

Subscribe to the AI & The Future of Work NewsletterConnect with Maryjo on LinkedInAI fun fact articleOn How Rory O'Driscoll Explains Success Modes for AI Companies and Three Essential Startup StrategiesEpisode with Keith Sonderling, then an EEOC Commissioner and now the U.S. Deputy Secretary of Labor
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Join Dan Turchin and 3 seasoned technology and people leaders on Sept. 17 for an executive discussion on AI, leadership, and the future of work. Attendees will receive a complimentary personalized AI Maturity Industry Benchmarks Report ($499 value). Reserve your seat: https://go.peoplereign.io/virtual-event-when-intelligence-is-everywhere-intelligence-is-nowhere

397: Maryjo Charbonnier, Kyndryl's Former CHRO & Executive Advisor, on Transforming Skills into Visibility with AI

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Trond Undheim is a futurist, innovation expert, and research scholar at Stanford University whose work spans governments, startups, and leading academic institutions. His ideas have been featured in outlets including Forbes, The Boston Globe, Fast Company, Fortune, and MIT News, and he previously hosted the Futurized podcast.

He holds a PhD in AI and cognition from the Norwegian University of Science and Technology and is the author of eight books, including The Platinum Workforce, which explores how to train and hire for the twenty-first century’s industrial transitions. 

In this episode, Trond draws on decades of interdisciplinary work on emerging technologies, systemic risk, and workforce transitions to argue that system awareness, not traditional knowledge, will determine who thrives in an AI-defined economy.

In this conversation, we discuss:

 • Why Trond says knowledge has become superfluous, and what that claim means for how we define expertise in an AI era.
 • Why cutting junior hires to cash in on AI efficiencies bakes a failure mode into your organization.
 • What “system awareness” looks like in practice, and how it changes the way leaders think about skills and careers.
 • Why socio-technical thinking matters, and how treating humans and machines as mutually constitutive systems reshapes AI design and governance.
 • Why humanity is unprepared to operate at gigascale, and what megaproject research suggests about the cost of that gap.
 • How The Platinum Workforce maps twelve durable skill domains, from socio-technical capabilities to maker and maintenance skills, that will outlast multiple AI waves.

Explore this conversation:

00:00 Intro and AI Fun Fact: Pew Research Americans More Concerned Than Excited About AI

04:22 Introducing Trond Undheim, Futurist and Author of The Platinum Workforce

05:09 Why the Workforce Is the Single Biggest Lever for Human Survival

09:08 System Awareness: The Only Knowledge That Matters in the AI Era

15:06 Socio-technical Systems: Co-Evolution of Humans and Technology

17:54 Human Agency Over Technology: Who Really Sets the Rules

23:24 The Human Skills AI Cannot Replace: Making, Maintaining and Place Maximizing

31:12 Workforce Preparation for the AI Era: Training Juniors and Experimentation

34:08 Macro Challenges: Giga-Scale Projects and Management at Scale

45:33 The Augmented Workforce: What AI Integration Must Look Like in 10 Years

54:39 Where to Connect with Trond Undheim and Learn More About The Platinum Workforce

Resources:

Subscribe to the AI & The Future of Work NewsletterConnect with Trond on LinkedInAI fun fact articleOn How AI Will Transform Tax Filing: Insights from Daniel Marcous, Founder and CTO of April and Former CTO of Waze
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Join Dan Turchin and 3 seasoned technology and people leaders on Sept. 17 for an executive discussion on AI, leadership, and the future of work. Attendees will receive a complimentary personalized AI Maturity Industry Benchmarks Report ($499 value). Reserve your seat: https://go.peoplereign.io/virtual-event-when-intelligence-is-everywhere-intelligence-is-nowhere

396: Trond Undheim, Author of The Platinum Workforce, on Why Knowledge Is Becoming Superfluous and System Awareness Is the Skill That Lasts

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Lev Gonick is the CIO at Arizona State University, one of the largest and fastest-growing universities in the United States, with over 200,000 students across campuses in Phoenix, Los Angeles, Washington, and 35 partner institutions around the world. He won an ORBIE Award in 2023 as a top large Enterprise CIO, was named a Top 50 Educational Technology Influencer by EdScoop in 2022, and holds a PhD in International Political Economy from York University.

Before joining ASU, he was one of the rare CIOs who came from the classroom, having spent the first decade of his career as a teacher and researcher before pioneering online learning in the 1990s, long before it became an industry. 

In this episode, Lev draws on more than 40 years at the intersection of technology and education to make the case that AI is not the disruptor of higher education, it is the accelerant, and that the institutions treating it that way are already building what everyone else is still debating.

In this conversation, we discuss:

 • Why AI is not the disruptor of higher education, and what has actually been driving the disruption for decades
 • How ASU went from survival mode during the 2009 financial crisis to building the largest online learning operation in the country, and why the same instinct is now driving its AI strategy
 • What ASU's data from 200,000 students using AI daily actually reveals about which skills will endure and which ones will not
 • How the role of university faculty is fundamentally changing in the AI era, and why the hardest question has nothing to do with cheating
 • What the "Agentic self" means for creatives, and how a unique course taught by Will.i.am is helping students protect and amplify their creative futures.
 • How the traditional responsibilities of the Chief Information Officer are expanding beyond basic operations to actively shaping institutional strategy and innovation.

 

Explore this conversation:

 • 00:00 Intro and AI Fun Fact: Blue Books vs AI Rethinking Academic Integrity
 • 04:25 Introducing Lev Gonick, CIO at Arizona State University
 • 05:17 From Classroom Teacher to Academic Disruptor at ASU
 • 08:16 ASU Principled Innovation and the Design Build Approach to AI
 • 13:23 Co-Creating with Industry: AWS Zoom and the GSV Summit at ASU
 • 17:35 Soft Skills Are Smart Skills: Rethinking AI Literacy in Higher Ed
 • 23:25 Rethinking Assessment: What Faculty Must Adapt to in the AI Era
 • 27:01 Why a College Degree Still Matters in the Age of AI
 • 30:37 From YouTube to ASU: Meeting Learners Where They Are
 • 34:22 Disrupt or Be Disrupted: ASU Mission to Reach 300000 Students
 • 35:57 From Operator to Strategist: The New Playbook for the Modern CIO
 • 40:26 Connect with Lev Gonick and Arizona State University

 

RESOURCES

Subscribe to the AI & The Future of Work NewsletterConnect with Lev on LinkedInAI fun fact article: Blue Books Are Making a Campus Comeback via Axios, by Josephine WalkerOn what most entrepreneurs get wrong when pitching to VCs.
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Join Dan Turchin and 3 seasoned technology and people leaders on Sept. 17 for an executive discussion on AI, leadership, and the future of work. Attendees will receive a complimentary personalized AI Maturity Industry Benchmarks Report ($499 value). Reserve your seat: https://go.peoplereign.io/virtual-event-when-intelligence-is-everywhere-intelligence-is-nowhere

395: Lev Gonick, CIO at Arizona State University: Why Higher Education Must Disrupt Itself and the New Definition of AI Literacy

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Dr. Muthu Alagappan is the Founder and CEO of Counsel Health, the company automating access to high-quality, personalized medical advice from doctors. Counsel recently closed a $25M Series A led by Andreessen Horowitz and Google Ventures, following an $11M seed round that included A16Z, Asymmetric Capital Partners, Floodgate Fund, and Pear VC.

He holds an MD from Stanford Medicine and a B.S. in Biomechanical Engineering from Stanford, and was among the earliest AI researchers to publish on clinical applications of machine intelligence.

In this episode, Muthu draws on 15 years at the intersection of AI research and frontline clinical medicine to explore the shift toward semi-autonomous care.

In this conversation, we discuss:

 • How AI addresses the limitations of traditional primary care by offering a highly personalized, knowledgeable, and always available medical experience.
 • Why patients might leapfrog clinicians in their willingness to adopt AI for medical advice, and how this shift challenges the traditional identity of physicians.
 • What semi-autonomous care actually looks like in practice, and how Counsel Health uses a clinician cockpit to augment human compassion with real-time machine intelligence.
 • How to leverage population-level patterns without compromising patient privacy.
 • Why the double standard applied to AI is misplaced, and why Muthu argues we should hold AI to a much higher benchmark than human doctors simply.
 • What the future of global healthcare could look like when cognitive medical expertise is fully democratized, ensuring that a patient's zip code no longer dictates the quality of care they receive.

Explore the Conversation

00:00 Intro & AI Fun Fact: Big Data Limitations and Bias in Clinical AI
03:52 Meet Dr. Muthu Alagappan: From Stanford AI Researcher to Counsel Health CEO
06:51 Why Primary Care Falls Short: The Case for AI-Augmented Medicine
09:05 Human Doctors Are Human: How Patients Are Adopting AI Medical Advice
12:20 Patient Privacy and Population Health: Learning Without Training on Data
14:17 Inside the Clinician Cockpit: Real-Time AI Support for Doctors
16:17 Why Counsel Health Employs Its Own Physicians: Messaging-Based Care
19:00 From Semi-Autonomous to Fully Autonomous Care: Healthcare's Next Era
24:19 AI Ethics in Medicine: Safety Standards, Model Values, and Data Ownership
27:22 The AI Double Standard: Why Machines Deserve a Higher Benchmark Than Doctors
31:07 Founder Lessons: Building a Category-Defining Healthcare AI Company
33:53 Rewriting the Commencement Address: Medicine as Lifelong Learning
35:37 Where to Connect with Dr. Muthu Alagappan and Counsel Health

Resources

Subscribe to the AI & The Future of Work NewsletterConnect with Muthu on LinkedInAI fun fact article: Artificial Intelligence in Health Care: The Ethical Frontier via ConexiantOn the future of AI, Silicon Valley and Venture Capital 

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Join Dan Turchin and 3 seasoned technology and people leaders on Sept. 17 for an executive discussion on AI, leadership, and the future of work. Attendees will receive a complimentary personalized AI Maturity Industry Benchmarks Report ($499 value). Reserve your seat: https://go.peoplereign.io/virtual-event-when-intelligence-is-everywhere-intelligence-is-nowhere

394: Dr. Muthu Alagappan, CEO of Counsel Health: Democratizing Primary Care with Semi-Autonomous AI

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XD Huang is the CTO of Zoom, where he is leading the company's shift from hosting meetings to completing work, a vision he calls conversation to completion. He joined Zoom after 30 years at Microsoft, where he served as Azure AI CTO and a Technical Fellow and helped ship Azure OpenAI Services. A pioneer in speech recognition for four decades, he led the Microsoft team that first reached human parity in transcribing conversational speech. 

Recorded live from the floor of HumanX 2026, this lightning round explores what it takes to turn everyday conversation into finished work.

XD and host Dan Turchin dig into Zoom's federated approach to AI, the cost and accuracy tradeoffs hidden inside every model decision, and why, after a career spent solving the hardest technical problems, he believes taste and judgment are the qualities that still belong to people.

What You'll Learn

 • What "conversation to completion" means for the way work actually gets done
 • How Zoom's federated approach combines multiple frontier models into one stronger result
 • Why every AI decision is a tradeoff between cost and accuracy, and how to control for it
 • How an open ecosystem lets the same AI work across Zoom, Google, Microsoft, and in-person meetings
 • Why taste and judgment are the qualities XD hires for that AI cannot replace

🎙️ Part of our HumanX 2026 compilation series. Listen to the full compilation here: https://www.buzzsprout.com/520474/episodes/19363520

Resources

Subscribe to the AI & The Future of Work Newsletter.Connect with XD on LinkedIn.
 

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Join Dan Turchin and 3 seasoned technology and people leaders on Sept. 17 for an executive discussion on AI, leadership, and the future of work. Attendees will receive a complimentary personalized AI Maturity Industry Benchmarks Report ($499 value). Reserve your seat: https://go.peoplereign.io/virtual-event-when-intelligence-is-everywhere-intelligence-is-nowhere

XD Huang, CTO at Zoom | Live from HumanX 2026

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Dr. Jaime Lien is the Chief Scientist and a co-founder of Archetype AI, where she is building a foundation model that turns complex sensor data into meaning people can actually act on. A signal processing scientist by training, she earned her PhD working on RF imaging from satellites and later helped develop the first radar embedded in consumer smartphones at Google, before leaving with four colleagues to start Archetype AI. 

Recorded live from the floor of HumanX 2026, this lightning round explores how AI can read the rich, non-human signals all around us and translate them for the people who rely on them.

Jaime and host Dan Turchin dig into how machines distill signal from noise, why a reasoning and communication model matters more than a straight-to-action one, and why keeping a human in the loop is a requirement, not a feature, when the stakes are physical.

What You'll Learn

 • How AI separates meaningful signal from noise across the sensors already around us
 • Why Archetype builds a reasoning and communication model, not a straight-to-action one
 • Why keeping a human in the loop is treated as a requirement, not an optional feature
 • How interpretability and explainability have to be designed in from the start, not added later
 • Why discovering something new about the physical world matters more than automation alone

🎙️ Part of our HumanX 2026 compilation series. Listen to the full compilation here: https://www.buzzsprout.com/520474/episodes/19363520

Resources

Subscribe to the AI & The Future of Work Newsletter.Connect with Jaime on LinkedIn.
 

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Join Dan Turchin and 3 seasoned technology and people leaders on Sept. 17 for an executive discussion on AI, leadership, and the future of work. Attendees will receive a complimentary personalized AI Maturity Industry Benchmarks Report ($499 value). Reserve your seat: https://go.peoplereign.io/virtual-event-when-intelligence-is-everywhere-intelligence-is-nowhere

Dr. Jaime Lien, Co-Founder & Chief Scientist of Archetype AI | Live from HumanX 2026

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Ash Rust, startup entrepreneur and pre-seed investor, discusses what he looks for in founding teams, why the best founders succeed, how he evaluates companies, and what opportunities he’d fund if he saw the right pitch. 

Listen and learn... 

 • The three common attributes of the best startup CEOs 
 • What Ash looks for when coaching entrepreneurs 
 • The best pitches Ash has heard recently… and a few bizarre ones 
 • “The one that got away” Ash missed 
 • Ash’s advice for a younger version of himself 

Learn more about the amazing companies Ash discussed at Sterling Road.

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Join Dan Turchin and 3 seasoned technology and people leaders on Sept. 17 for an executive discussion on AI, leadership, and the future of work. Attendees will receive a complimentary personalized AI Maturity Industry Benchmarks Report ($499 value). Reserve your seat: https://go.peoplereign.io/virtual-event-when-intelligence-is-everywhere-intelligence-is-nowhere

AI and the future of work with Ash Rust, former CEO and pre-seed investor at Sterling Road

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