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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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In this special compilation episode of AI and the Future of Work, we are bringing you four conversations recorded live on the show floor at HumanX 2026. This is the second episode of our three-part HumanX Live series.

In an era dominated by headlines about displacement and disruption, these four founders share a grounded optimism about what AI cannot replace: human judgment, creativity, and the drive to do work that matters.

Each of these leaders is building in a different space, but they arrived at the same conviction. The companies and people poised to win in the AI era are not the ones moving fastest to automate. They are the ones who understand what humans are uniquely built to do, and build systems that make space for it.

What You'll Learn

 • Why most organizations cannot answer a basic question: how does work actually get done here, and why that gap is now a strategic liability
 • How AI-powered learning can shift employee development from a compliance obligation to a genuine driver of engagement
 • Why storytelling will remain a human craft, and what the Pixar transition teaches us about navigating creative disruption
 • The case for asynchronous AI collaboration, where systems work overnight and humans return to exercise judgment
 • Why optimism about the human worker is not naive, and what the data actually shows
 • How to balance AI use cases that replace humans with those that create new value and grow the economy

Featured Guests

Jennifer Smith • , CEO & Co-founder of Scribe. Listen to the full conversation here: 
https://www.buzzsprout.com/520474/episodes/19257070 • 
Robin Daniels • , Chief Business Officer at Zensai. Listen to the full conversation here: 
https://www.buzzsprout.com/520474/episodes/19257107 Jon Snoddy • , CEO of Operative Games. Listen to the full conversation here: 
https://www.buzzsprout.com/520474/episodes/19257113 • 
Florian Douetteau • , CEO of Dataiku. Listen to the full conversation here: 
https://www.buzzsprout.com/520474/episodes/19257131 • 

Inspired by something you heard in this episode? Share your favorite insight about the future of work and tag us on social.

And don't forget to subscribe to AI and the Future of Work for more conversations with the leaders shaping what comes next. 

Resources

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What AI Can't Replace, with the CEOs of Scribe, Operative Games, and Dataiku, and the CBO of Zensai | Live from HumanX 2026 Special Episode

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Robin Daniels is the Chief Business Officer at Zensai and a seasoned tech executive with stints at Salesforce, LinkedIn, Box and WeWork. Recorded live from the floor of HumanX 2026, this lightning round explores what it really takes to create an environment where people are motivated to grow, learn and do their best work every day.

Robin and host Dan Turchin dig into why most LMS platforms have failed employees, how AI is changing the relationship between learning and performance, and why investing in people is not just the right thing to do but a proven path to better business outcomes.

What You'll Learn

 • Why 80% of employees are disengaged and what organizations can do about it
 • How AI-powered learning delivers the right skills at the right moment, not generic compliance training
 • How Zensai uses AI to coach managers and strengthen the employee-manager relationship
 • Why proving the link between learning and performance is the key to making L&D a strategic priority
 • Why the future belongs to humans who combine technical skills with taste, judgment and soft skills

 🎙️ Part of our HumanX 2026 compilation series. Listen to the full compilation here: https://www.buzzsprout.com/520474/episodes/19257142 

Resources

Subscribe to the AI & The Future of Work NewsletterConnect with Robin on LinkedIn

Robin Daniels, Chief Business Officer at Zensai | Live from HumanX 2026

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Jon Snoddy is the CEO of Operative Games and a veteran storyteller with a career spanning NPR, Lucasfilm, Disney Imagineering and a co-venture with Spielberg and Sega. Recorded live from the floor of HumanX 2026, this lightning round explores what happens when you combine Disney-level character craft with large language models to create a completely new kind of interactive storytelling.

Jon and host Dan Turchin dig into how Operative builds AI-powered characters that feel emotionally real, what the entertainment industry gets wrong about the AI disruption, and why small studios have an edge that no major franchise can buy.

What You'll Learn

 • How Jon went from Disney Imagineering to building AI characters you can call on the phone
 • Why emotional fidelity matters more than photorealism in AI-driven storytelling
 • How Operative thinks about guardrails, ethics and responsible AI in immersive entertainment
 • What the Pixar disruption can and cannot teach us about the AI moment in entertainment
 • Why big studios are watching but not moving, and why that's an opportunity for startups

 🎙️ Part of our HumanX 2026 compilation series. Listen to the full compilation here: https://www.buzzsprout.com/520474/episodes/19257142 

Resources

Subscribe to the AI & The Future of Work NewsletterConnect with Jon on LinkedIn

Jon Snoddy, CEO at Operative Games | Live from HumanX 2026

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Jennifer Smith is the CEO of Scribe and a former McKinsey consultant turned venture capitalist who interviewed over 1,200 enterprise CIOs before founding her company. Recorded live from the floor of HumanX 2026, this lightning round covers how AI is helping organizations finally understand how work actually happens inside their teams.

Jennifer and host Dan Turchin explore why even Fortune 500 leaders don't truly know how their companies operate, and what that means for AI transformation.

What You’ll Learn 

 • Why process visibility comes before any AI initiative
 • How Scribe maps workflows across 600,000+ companies
 • Responsible AI and building a data-driven culture
 • Humans and agents working side by side
 • Helping people spend more time on the work they love

 🎙️ Part of our HumanX 2026 compilation series. Listen to the full compilation here: https://www.buzzsprout.com/520474/episodes/19257142 

Resources

Subscribe to the AI & The Future of Work NewsletterConnect with Jennifer on LinkedIn

Jennifer Smith, CEO at Scribe | Live from HumanX 2026

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Florian Douetteau is the CEO and co-founder of Dataiku, the enterprise AI platform he has been building for over a decade to make data and AI accessible at scale. Recorded live from the floor of HumanX 2026, this lightning round explores how the rise of agents is reshaping the role of data teams and what a genuinely AI-native way of working looks like in practice.

Florian and host Dan Turchin go deep on where agentic AI actually creates economic value, why most enterprises are still thinking about agents the way people thought about websites in 1997, and what it means for humanity when machines start doing things we thought only humans could do.

What You'll Learn

 • How Dataiku evolved from data science platform to full agent studio for the enterprise
 • Why business teams need to become their own AI enablers, not just consumers of data insights
 • What a truly agentic workday looks like for knowledge workers in the near future
 • Why the dystopian AI narrative misses the use cases that actually grow the economy
 • What it means to be human when intelligence is no longer exclusively a human trait

🎙️ Part of our HumanX 2026 compilation series. Listen to the full compilation here: https://www.buzzsprout.com/520474/episodes/19257142

Resources

Subscribe to the AI & The Future of Work NewsletterConnect with Florian on LinkedIn

Florian Douetteau, CEO at Dataiku | Live from HumanX 2026

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Andrew Palmer is a long-time editor and columnist at The Economist, where he writes the widely read Bartleby column on work and life. He also hosts Boss Class, one of The Economist's most popular podcasts, whose most recent season explored generative AI in the workplace, a topic Andrew approached not just as a journalist, but as a self-described unsophisticated user determined to get smarter by doing.

In this episode, Andrew draws on his reporting and interviews with leaders across industries to offer an outside-in view of where AI adoption actually stands, and why the gap between the hype and the reality is not a sign of failure, but of how complex change really is.

In this conversation, we discuss:

 • Why AI adoption faces three distinct barriers (behavioral, technical, and organizational) and why solving one without the others leaves productivity gains stranded.
 • Why structural reskilling frameworks (like Denmark's flexicurity model and Singapore's voucher-based lifelong learning system) offer a more credible response to AI disruption than waiting for policy to catch up.
 • Why Johnson & Johnson's "let a thousand flowers bloom" approach to AI experimentation produced a Pareto effect (15% of projects generating 85% of value) and what they changed as a result.
 • How the AI productivity boom is real at the individual level but not yet showing up in aggregate data, and why Andrew believes that gap is a question of time, not technology.
 • Why enlightened corporate leadership requires transparency about potential job disruption and a commitment to adjacent career planning rather than performative optimism.
 • What work in 2036 might look like, and why Andrew's most unsettling prediction has nothing to do with jobs, and everything to do with privacy.

Explore this conversation:

00:00 Introduction to AI and the Future of Work episode 391

01:14 AI fun fact: AI legislative speed versus technological advancement

03:51 Meet Andrew Palmer The Economist Bartleby Column Boss Class

06:14 Digital Doppelganger and AI Personality Traits

07:57 AI Adoption Barriers Behavioral Technical and Organizational

11:01 AI Impact at Work Startups vs Large Organizations

14:15 Leadership Humility and AI Uncertainty in the Workplace

17:41 AI Experimentation at Scale Lessons from Johnson and Johnson

24:26 AI vs SaaS Productivity Data and the Speed of Adoption

27:35 Balancing AI Automation with Human Meaning at Work

31:26 AI Policy Reskilling and Lifelong Learning for the Future

36:03 Work in 2036 AI Monitoring Privacy and Constant Surveillance

38:47 Who Really Controls AI and What That Means for Workers

44:08 Connect with Andrew Palmer and Boss Class The Economist

Resources:

Subscribe to the AI & The Future of Work NewsletterConnect with Andrew on LinkedInAI fun fact articleOn How Arvind Jain Is Shaping the Future of Enterprise Search • Another episode mentioned in the interview: 
How we can take back control from Big Tech • with Tom Wheeler, former FCC Chairman, CEO, VC, and author of Techlash.

391: Andrew Palmer from The Economist on Why AI Productivity Isn’t Showing Up Yet

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Arnnon Geshuri is Chief People Officer at Snowflake, where he leads culture development, talent strategy, and organizational design at one of the world’s leading data cloud companies. His career spans decades of scaling high-growth technology organizations, including leadership roles at Google, Livongo Health, and Tesla, where he oversaw its growth from a 400-person startup to a 35,000-person transportation juggernaut.

Throughout his career, he has consistently chosen companies that demand a people function as innovative, as creative, and as forward-thinking as the business itself. And across every role, he has focused on one core idea: the people function must evolve as fast as the business itself, grounded in data, experimentation, and trust.

In this episode, Arnnon draws on that experience to challenge how leaders think about AI in the workplace, arguing that the real opportunity is not automation alone, but redefining how humans contribute, decide, and grow inside modern organizations.

In this conversation, we discuss:

 • Why the people function must speak the language of data and analytics to influence engineering-led organizations and earn credibility in high-growth, technical environments
 • The shift from transactional HR to a strategic role focused on connection, education, and rebuilding trust after workforce disruption and disconnection during COVID
 • How Snowflake frames AI adoption by automating repetitive work, augmenting creative tasks, and preserving human judgment in decisions that require empathy and context
 • Why employees adopt AI faster when leaders encourage curiosity, remove fear of experimentation, and make tools accessible through simple interfaces like natural language
 • The risks of over-automating decisions like hiring and performance reviews, and why removing human accountability breaks trust inside organizations
 • How building a culture of experimentation, measurement, and iteration allows people leaders to scale organizations without relying on intuition alone

Explore the Conversation

00:00 Intro & Fun Fact: How AI manipulation threatens autonomy

05:06 Meet Arnnon Geshuri: CPO at Snowflake, from Google, Tesla, and Livongo Health

10:24 The Evolution of HR: From Transactions to Amplifying Humanity

13:37 Snowflake's AI Framework: Automate, Augment, and Preserve Human Judgment

21:44 Driving AI Adoption: AI for Everybody and a Culture of Experimentation

26:26 Data Privacy and Trust: Building Guardrails for Enterprise AI

28:36 AI in Hiring: Mitigating Bias to Rescue Human Connection

32:28 Setting AI Boundaries: Why Algorithms Should Never Conduct Performance Reviews

34:16 Scaling Culture in Hyper-Growth: The Power of People Analytics

41:33 The AI Ride-Along Prediction and What Comes Next

43:15 Where to Connect with Arnnon Geshuri and Snowflake

Resources

Subscribe to the AI & The Future of Work NewsletterConnect with Arnnon on LinkedInAI fun fact articleOn How Rodrigo Liang, Raised Over $1B to Build the First Generative AI Unicorn

390: Automate the Work, Amplify the Humanity, with Snowflake's CPO Arnnon Geshuri

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In this special episode of AI and the Future of Work, we are bringing you an exclusive conversation recorded live on the show floor at the HumanX 2026 event. This full interview kicks off a special three-part series, with the upcoming two episodes releasing in a compilation format. To start things off, we are sharing our uncut conversation with the man who made this entire gathering possible.

Stefan Weitz is the Co-founder and CEO of HumanX, an organization and premier event dedicated to cutting through the AI hype to find practical, world-changing applications. He joined Microsoft in 1996, working alongside leaders like Bill Gates and Steve Ballmer on iconic product launches and foundational tech like Bing and Windows.

In this live episode, Stefan draws on his extensive product development background to explain why our survival in the AI era depends on treating technology as an evolving tool and why the most powerful thing a leader can say today is "I do not know".

In this conversation, we discuss: 

 • Why relying on focus groups and lean product development is the wrong approach for building breakthrough AI hardware and software.
 • The reason established tech giants risk losing the AI race if they rely solely on distribution over building superior products.
 • How AI differs fundamentally from all previous human tools and why its ability to learn creates unprecedented exponential growth.
 • Why the speed of current technological adaptation threatens to outpace our natural ability to transition roles and find new purpose.
 • The danger of anthropomorphizing artificial intelligence and why framing it as human creates unnecessary fear and resistance.
 • How saying "I do not know" has become the most powerful leadership tool in a non-deterministic technology landscape.

Resources:

Connect with Stefan on LinkedIn

Special Episode: Why Real AI Progress Starts With Saying "I Don’t Know", with Stefan Weitz, CEO of HumanX - Live from HumanX 2026

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Robb Wilson is the CEO and co-founder of OneReach.ai, an agent-building platform focused on complex enterprise use cases across healthcare, government, and telecommunications. A serial entrepreneur and former creative executive at Time Warner, Robb has spent decades working at the intersection of design and technology. He is also the co-owner of UX Magazine, a global community of more than 640,000 members, and the author of two bestselling books, including Age of Invisible Machines.

His career spans designing high-stakes systems like the Boeing 787 cockpit to building conversational AI platforms that rethink how humans interact with technology. Along the way, he earned an Academy Award nomination for Technical Achievement, reflecting his ability to bridge creativity and engineering at scale.

In this episode, Robb draws on that rare combination of design, product, and systems thinking to challenge how companies are adopting AI today, and why most are optimizing the wrong layer of the problem.

In this conversation, we discuss:

 • Why companies are using AI to accelerate outdated software instead of rethinking what software should be, and how this creates the illusion of progress without meaningful change
 • The fundamental mismatch between human communication and traditional interfaces, and why conversational interaction exposes how poorly most software has been designed for real users
 • What “getting AI” actually means inside organizations, and why productivity gains often hide the fact that teams are still building systems they plan to replace
 • The concept of “invisible machines” and why the future of AI is not better interfaces, but removing interfaces entirely to prioritize human interaction over system interaction
 • Why evaluating AI systems based on what they do misses the point, and how understanding how they learn becomes the more critical question for decision-makers
 • The tension between building AI that drives engagement versus AI that strengthens human connection, and how market incentives continue to reward the wrong outcomes

Explore the conversation:

00:00 Intro and Fun Fact 

04:27 Robb Wilson's Journey at the Intersection of Design and Technology

06:26 The UX Collision: Why Using AI to Build Old Software Faster is a Mistake

10:47 Defining Human-First Design and the Concept of Invisible Machines

13:26 Lessons from the Boeing 787: Using Context to Remove Complex Interfaces

16:08 The Adoption Problem: Why We Must Evaluate How AI Software Learns

20:40 The OpenAI Dilemma: Choosing Between Dopamine-Driven AI and Healthy Innovation

25:22 The End of Compiled Software: Why True AI Transformation Requires Total Transparency

29:48 Future Interfaces: Valuing Human Connection Over Brain Chips and Productivity

35:09 Will Capitalism Reward Ethical AI? The Power of Consumer Choice

41:54 Where to Connect with Robb Wilson and OneReach.ai

Resources

Subscribe to the AI & The Future of Work NewsletterConnect with Robb on LinkedInAI fun fact articleOn How Steve Truitt Is Working to Save Humanity and Prevent AI From Ruining Us

389: Building AI for Human Connection, Not Dopamine Hits, with Robb Wilson, CEO of OneReach.ai

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Matt Fitzpatrick is the CEO of Invisible Technologies, an AI platform used to improve models for more than 80% of the world’s leading AI companies, including Microsoft, AWS, and Cohere. The company has raised $100 million and scaled to $134 million in revenue, making it one of the fastest-growing AI companies globally.

Before joining Invisible, Matt was the Global Head of QuantumBlack Labs at McKinsey, where he led large-scale AI and data engineering efforts and helped enterprises move from experimentation to production.

In this episode, Matt draws on years spent inside enterprise AI deployments to challenge the gap between model progress and real-world adoption, and to explain why most organizations still struggle to turn AI into measurable business outcomes.

In this conversation, we discuss:

 • Why enterprise AI adoption lags far behind model performance improvements, and why most organizations still struggle to turn technical progress into real business impact
 • The hidden role of messy, fragmented legacy data, and why decades of accumulated systems make it nearly impossible to deploy reliable AI at scale
 • Why defining “good” output in generative AI is far harder than expected, and how unclear standards stall deployment across high-stakes enterprise workflows
 • The case for redesigning workflows from scratch, and why layering AI on top of existing processes fails to create meaningful efficiency gains
 • Why most AI initiatives fail due to lack of business ownership, and how separating technology teams from operators prevents projects from reaching production
 • How fear-driven narratives about job loss are slowing adoption, and why AI is more likely to shift work toward higher-value tasks than eliminate roles entirely

 

Explore this conversation: 

00:00 Intro and Fun Fact 

03:57 Matt Fitzpatrick's Path From McKinsey to Invisible Technologies 

09:56 Scaling Enterprise AI with Modular Platforms and Clean Data 

12:44 The Crucial Role of Expert Human Feedback in Model Training 

17:56 Why 95% of Enterprise AI Projects Never Reach Production

21:38 The Missing Link: Why True AI Transformation Requires Business Ownership 

26:54 Overcoming AI Fear and the Reality of Jevons Paradox 

32:24 Responsible AI: Governing Outcomes Over Technology 

39:05 The Future of Work: Moving From Administration to Innovation 

44:12 Where to Connect with Matt Fitzpatrick and Invisible Technologies

Resources:

Subscribe to the AI & The Future of Work NewsletterConnect with Matthew on LinkedInAI fun fact articleOn How Allison Baum Gates Reveals the Secrets to a Successful VC Career

Robin Daniels, Chief Business Officer at Zensai | Live from HumanX 2026

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