AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders

Dan Turchin
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🏆 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.

  1. 17h ago ·  Bonus

    SE 28: They Might Be Agentic, But We Have Agency: Leaders from Upwork, Axonis, and John Hancock on Where the Human Belongs | Live from Ai4 2026

    Send us Fan Mail Walk the floor at an event like Ai4 and most of the conversation is about what machines can now do on their own. The question that kept surfacing in our conversations was quieter, and harder: where do humans belong when machines can think? In this special compilation episode of AI and the Future of Work, we bring you three conversations recorded live at Ai4 2026 in Las Vegas. This is the first episode of our four-part Ai4 series. A talent marketplace, a data infrastructure company, and a 164 year old life insurer. Three businesses that could not be more different, and three leaders who arrived at the same answer from opposite directions.  What connects them is not caution about automation. All three are automating serious amounts of work. What they share is that the requirement was built in on purpose, because the outcome depends on someone being answerable for it. Featured Guests Andrew Rabinovich, former Upwork Chief Technology Officer. Full conversation coming Thursday, September 24, 2026Todd Barr, CEO at Axonis. Full conversation coming Thursday, October 1, 2026Kartik Sakthivel, Chief Information Officer at John Hancock. Full conversation coming Thursday, October 8, 2026Over the next three weeks we will release one full conversation every Thursday. As each episode goes live, we will add the link here. What You'll Learn What happens when you measure how much of a real job an agent can actually finish, and why that number should change what you let it do unsupervisedThe one line in hiring that should never be crossed, no matter how capable the technology becomesWhere human agency actually lives once the work itself is handed off, and why how it gets done may matter less than we assumeWhy collecting data and acting on it are two different problems, and what opens up once that distance closesThe question worth asking before any AI project starts, and why the answer is sometimes something far simpler than AIWhat to say to someone watching a machine learn to do the thing that made them valuable, and where the time that comes back should go Inspired by something you heard in this episode? Share your favorite insight about where people belong in the systems we are building, 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 the future of work. Other special episodes: SE 26: Designing AI for Accountability and Harmony with Leaders from Honeycomb, FieldAI, Archetype AI, and Zoom (Live from HumanX 2026 Special Episode)SE 27: AI and the Next Generation: What We Can Learn from Them (International Youth Day Special Episode)SE 19: AI and Education: How Artificial Intelligence Is Transforming Learning (International Day of Education Special Episode)Lessons from Four Unicorn CEOs Disrupting Massive Markets with AI (Special Episode)Ethical AI in Hiring: How to Stay Compliant While Building a Fairer Future of Work (HR Day Special Episode)AI and Safety: How Responsible Tech Leaders Build Trustworthy Systems (National Safety Month Special)Lessons from Leaders: How AI Is Redefining Work and the Human Experience (Labor Day Special Episode)

    SE 28: They Might Be Agentic, But We Have Agency: Leaders from Upwork, Axonis, and John Hancock on Where the Human Belongs | Live from Ai4 2026

  2. 3d ago

    405: Nick Mehta, Former CEO of Gainsight, on Agentic Overload, Machine Consciousness, and Leading with Radical Humility

    Send us Fan Mail Nick Mehta is a serial entrepreneur, executive leader, and the former longtime CEO of Gainsight, where he helped define and scale the multi-billion-dollar category of modern Customer Success.  Widely revered across the technology ecosystem as a beloved mentor and a CEO's role model, Nick pairs sharp business instincts with an infectious, human-first leadership style and an insatiable curiosity for philosophy, mathematics, and cognitive science.  In this highly anticipated annual conversation, Nick sits down with Dan for an unfiltered, cathartic deep dive into the psychological toll of the AI era.  In this conversation, we discuss: Why the transition from passive software tools to autonomous agents triggers acute "brain fry," and the psychological friction that occurs when machines begin directing human managers.How the anthropological framework of BANI (Brittle, Anxious, Non-linear, and Incomprehensible) explains workplace anxiety, and why the traditional fear of missing out is shifting into the cognitive strain of managing agents that demand constant input.What Richard Dawkins' dialogue with Claude reveals about the debate between functionalists and biological essentialists, and why Nick remains skeptical of claims surrounding synthetic consciousness.How Douglas Hofstadter's concept of "strange loops" and self-referential observation offers a powerful mental model for the future of recursive machine intelligence.Why pursuing automation purely for commercial efficiency creates massive personal and societal opportunity costs, and how tech leaders can weigh business optimization against life-altering scientific breakthroughs.What a tech executive's front-row seat as a parent to college seniors reveals about the job market crisis facing new graduates in business and computer science. EXPLORE THE CONVERSATION 00:00 Welcome to Episode 404: Dan and Nick's Annual Public Therapy Session 04:34 When AI Shifts from Passive Tool to Demanding Manager 08:23 The BANI Framework: Decoding the Brittle, Anxious, and Fragmented Mind 11:05 Yelling at ChatGPT: What Our Reactions to LLM Mistakes Reveal About Us 14:25 The Consciousness Debate: Functionalism, Qualia, and Richard Dawkins' Experiment 19:22 Self-Referential Loops and the Nature of the Self 23:33 Mimicry Versus Learning in AI and Humans 29:35 The Efficiency Trap: Why Automating for Automation's Sake Loses the Plot 32:30 The Opportunity Cost of Tech: The Societal and Ethical Implications of AI Progress 37:12 The Role of Philosophy in Understanding AI and Consciousness 40:35 What Our Kids Are Facing: The Lived Reality of the 2026 Job Market 44:37 Radical Humility: Why Great Leaders Must Abandon the Visionary Facade 47:26 But What If We're Wrong? Viewing Today's Historical Phase Shift from the Future Resources: Subscribe to the AI & The Future of Work NewsletterConnect with Nick Mehta on LinkedInBooks referenced in this episode:Gödel, Escher, Bach: An Eternal Golden Braid by Douglas HofstadterThe Beginning of Infinity: Explanations That Transform the World by David DeutschBut What If We're Wrong? Thinking About the Present as If It Were the Past by Chuck KlostermanPlayer Piano by Kurt Vonnegut

    405: Nick Mehta, Former CEO of Gainsight, on Agentic Overload, Machine Consciousness, and Leading with Radical Humility

  3. Sep 7

    404: Ilan Peleg, CEO of Lightrun, on Shifting Observability Left, and Why He Keeps AI Agents Read-Only in Production

    Send us Fan Mail Ilan Peleg is the Co-Founder and CEO of Lightrun, the autonomous remediation platform built to debug and fix software problems before they ever reach a customer. Lightrun is one of the fastest growing companies in the AI observability space, having raised $110 million from elite venture firms including Accel, Insight Partners, and Sorenson Capital. Its technology now runs inside mission critical systems at Salesforce, Citibank, and the New York Stock Exchange. Before founding Lightrun, Ilan spent years as a software developer, watching code succeed in testing and then fail in ways no one could predict once it met real users at scale. That frustration became the founding thesis for a company built around a bold idea: self healing software. In this episode, Ilan draws on his experience building line level, real time telemetry for some of the world's most demanding production environments to make the case that AI reliability depends on grounded evidence, not bigger models, and that the future belongs to practitioners who know how to work with it, not around it. In this conversation, we discuss: How AI agents shift software debugging from reacting to outages to preventing them before they ever reach productionWhy site reliability engineers are being asked to rethink their entire relationship with automation and manual firefightingThe difference between AI workflow automation startups and the ones that will actually survive the next platform shiftWhat actually happens when an AI agent doesn't have the grounded evidence it needs to complete a task correctlyWhy a founder chose to keep his AI observability platform read only, even when customers asked for more autonomyThe architectural bet behind real time, line level telemetry that makes self-healing software possible at enterprise scale Explore the Conversation 00:00 Intro and Fun Fact 04:21 Introducing Ilan Peleg 04:52 The Lightrun Origin Story 08:32 Software in an AI Era 10:38 Tracing Code in Real-Time 18:08 Shifting Left Observability 20:19 Scaling Self-Healing Telemetry 25:39 Why Lightrun Stays Read-Only 29:23 Can AI Labs Replace It 32:26 SREs in an AI World 35:15 People Over Product 36:32 Early Days in Herzliya 39:37 Closing and Connecting Resources: Subscribe to the AI & The Future of Work NewsletterConnect with Ilan Peleg on LinkedInAI fun fact article: Precision Proactivity: Measuring Cognitive Load in Real World AI Assisted Work On How Meredith Broussard, NYU professor and featured expert in Coded Bias, is confronting the social implications of AI

    404: Ilan Peleg, CEO of Lightrun, on Shifting Observability Left, and Why He Keeps AI Agents Read-Only in Production

  4. Aug 31

    403: Nancy Wang, CTO at 1Password, on Why Identity Is the Tech Problem of the Decade

    Send us Fan Mail Nancy Wang is the Chief Technology Officer at 1Password, where she leads the global engineering team securing the digital safety and identities of millions of prosumers, families, and enterprise workloads.  An expert in building highly scalable systems and data protection platforms, she holds seven patents in cloud infrastructure and serves on the boards of early-stage cybersecurity leaders, including Observo AI, which was recently acquired by SentinelOne to power the data intelligence layer for its SIEM products.  Prior to joining 1Password, she became the youngest person ever promoted to Director and General Manager at AWS, at age 31, leading AWS Data Protection to serve 98% of the Fortune 500 and building a multi-billion dollar business within five years.  She also helped build cloud and data protection products at Rubrik, held engineering roles at Google and in the U.S. intelligence community, and now brings a rare combination of deep infrastructure expertise and security-first product thinking to the age of AI agents.  In this episode, Nancy sits down with Dan to explore the massive security responsibilities of the agentic era. In this conversation, we discuss: Why the transition to autonomous AI agents doesn't require brand-new credentials, and how familiar principles of human and machine identity extend to the agentic era.How a proprietary confidential computing architecture built on specialized enclaves protects sensitive user data, even in the event of a catastrophic central breach.Why 1Password actively chose not to release a public Model Context Protocol (MCP) server despite intense market pressure.How a specialized DevOps agent trained on human incident response can learn to navigate real-time outages, runbooks, and cloud traffic monitoring.Why AI is compressing the cost of execution in software, and why the real career advantage now shifts toward taste, judgment, systems thinking, and deep fluency with AI tools.Why prioritizing potential and tenacity over traditional resumes is the key to building diverse engineering teams, and how sponsorship accelerates the rise of high-slope talent    Explore the Conversation 00:00 Intro and AI Fun Fact: EvilToken and the Rise of AI-Driven Phishing 03:48 Introducing Nancy Wang, CTO at 1Password and AWIT Founder 09:07 Secure by Design: Inside the Origin Story and Expansion of 1Password 13:32 The Business of Trust: Why 1Password Is in the Security and Relationship Game 15:31 Zero-Knowledge Architecture: What Actually Happens if 1Password Faces a Breach? 24:06 The Phishing-Resistant Future: Biometrics, Passkeys, and Agent Identity 28:17 Inside the Machine: DevOps Agents and Real-Time Incident Response 31:22 Rejecting the MCP Server: Why AI Safety Trumps Instant Velocity 34:28 The T-Shaped Engineer: Why AI Compresses Execution and Elevates Human Taste 39:18 Be a High Sloper: Sponsoring the Next Generation of Tech Leaders   Resources: Subscribe to the AI & The Future of Work NewsletterConnect with Nancy Wang on LinkedInAI fun fact article: Hackers use AI to bypass passwords in large-scale phishing attacks Other episodes mentioned on the show:Episode 167 with Amr Awadallah, CEO of Vectara and co-founder of Cloudera, on the tech behind AI search

    403: Nancy Wang, CTO at 1Password, on Why Identity Is the Tech Problem of the Decade

  5. Aug 24

    402: Russ Fradin, CEO of Larridin, on the AI Power User Gap and Why Change Management Is the Real Bottleneck

    Send us Fan Mail Russ Fradin is the co-founder and CEO of Larridin, the enterprise AI measurement platform that raised $17 million in seed funding led by Andreessen Horowitz, with Bloomberg Beta and Gradient Ventures. Larridin sells to CIOs and CFOs, and answers a question most companies still cannot answer for themselves: which AI tools are being used, by whom, at what level of proficiency, and where they are actually driving productivity. A veteran Silicon Valley entrepreneur with three decades of experience leading high-growth technology companies, Russ previously co-founded and served as CEO of Dynamic Signal (now Firstup), Adify, and SocialShield, and was the first employee at Flycast, one of the internet’s pioneering ad networks. In this episode, Russ sits down with Dan to share the brutal and beautiful realities of building companies in the Bay Area. Tune in to hear his seasoned perspective on why successful AI integration requires ancient change management principles rather than new software licensing, the operational gap between power users and passive users, and why the most at-risk professionals in the AI era are not the ones you think. In this conversation, we discuss: Why a third party measurement company shows up every time money floods into a category, and what that pattern predicts for enterprise AI.What actually happens after you deploy AI to 3,000 employees, and why the gap that opens up is a change management problem, not a technology one.Why revenue growth cannot tell you whether to renew a multimillion dollar AI contract, and why the vendor's own numbers will not either.What the stark division between organizational power users and casual users reveals about the actual bottleneck in modern workplacesWhy token-spend leaderboards can accelerate adoption, and why they become unsustainable once employees learn how to game them.What the reality of task automation means for the future of knowledge work, and why the threat to specific white-collar roles is often misunderstood. Explore the Conversation 00:00 Intro and AI Fun Fact: Beyond Job Replacement, How AI Can Improve Work 04:22 Introducing Russ Fradin, Co-Founder and CEO of Larridin 06:27 Startup Humility: Why Early Failure Is Essential for Founders 09:45 Startup Alchemy: The Absurdity and Ambition of Building a Company 11:51 The Larridin Vision: Building the Unbiased Measurement Layer for Enterprise AI 18:03 Beyond AI Security: Measuring Usage, Spend, Productivity, and Workflows 20:33 AI ROI Beyond Revenue: Measuring Productivity, Renewal Decisions, and Change Management 27:02 Blazing Trails: How Facebook Speedran Adoption with Token Leaderboards 34:59 What We Measure Shapes AI’s Impact on Growth, Costs, and Jobs 39:41 AI Replacement Theory: Why Tasks Change, but Most Knowledge Jobs Endure 46:57 Where to Connect with Russ Fradin and Learn More About Larridin Resources Subscribe to the AI & The Future of Work NewsletterConnect with Russ on LinkedIn Learn more about Larridin at https://larridin.com/AI fun fact article: Labor Market Impacts of AI: A New Measure and Early Evidence by AnthropicOn Making AI Smarter Without Harming Humans

    402: Russ Fradin, CEO of Larridin, on the AI Power User Gap and Why Change Management Is the Real Bottleneck

  6. Aug 20 ·  Bonus

    SE 27: AI and the Next Generation: What We Can Learn from Them (International Youth Day Special Episode)

    Send us Fan Mail Every August 12, the world observes International Youth Day, and this past July 15 marked World Youth Skills Day. Both are good moments to remember what we owe the people entering the workforce: paths, tools, and advice that inspire them, not warnings that scare them. In this special August compilation episode of AI and the Future of Work, we bring back four former guests whose conversations point to the same idea: AI is not a threat. It is an opportunity, and the people starting their careers right now hold an unfair advantage. They have not spent years absorbing policies and habits that are already obsolete, so they get to begin from what is possible instead of unlearning what used to be true. From building AI into daily work, to leadership teams learning from their newest employees, to understanding what becomes more valuable when AI makes creation easier, this episode explores how the next generation is approaching work differently. The conversations point to a broader shift: as AI takes on more of the repetitive work and makes production cheaper, human judgment, creativity, curiosity, taste, intention, and the ability to identify the right problems become more important. Featured Guests Kourtney Cross, Business Analyst at Leidos and ServiceNow Rise Up graduate. Listen to the full conversation here: [https://www.buzzsprout.com/520474/episodes/18741521] Andrea Iorio, Keynote Speaker and Author of Between You and AI, formerly Chief Digital Officer at L'Oreal Brazil. Listen to the full conversation here: [https://www.buzzsprout.com/520474/episodes/18662632] Jake Saper, General Partner at Emergence Capital. Listen to the full conversation here: [https://www.buzzsprout.com/520474/episodes/18982636] Matt Britton, CEO of Suzy and Author of Generation AI. Listen to the full conversation here: [https://www.buzzsprout.com/520474/episodes/18792172]  What You'll Learn How an analyst early in his career built AI into his daily work, and why he went looking for it before anyone handed it to himWhat it takes to make your work visible when you are just starting outHow reverse mentoring puts the newest employees in the room to teach the leadership team what it is missingWhat a workday looks like once these tools handle the repetitive parts, and how to reinvest the time that comes backWhy AI can democratize creation while making taste, intention, trust, curation, and point of view more valuable Why "which tool should I use" is the least interesting question, and what rises in value once memorizing information stops being the point Inspired by something you heard in this episode? Share your favorite insight about learning, curiosity, or the ideas shaping how work gets done, 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 the future of work. Other special episodes: SE 19: AI and Education: How Artificial Intelligence Is Transforming Learning (International Day of Education Special Episode)Lessons from Four Unicorn CEOs Disrupting Massive Markets with AI (Special Episode)Artificial General Intelligence: Can Machines Really Think Like Us? (Special Episode)Ethical AI in Hiring: How to Stay Compliant While Building a Fairer Future of Work (HR Day Special Episode)AI and the Law: How AI Will Change Legal Careers (Special Episode)AI and Safety: How Responsible Tech Leaders Build Trustworthy Systems (National Safety Month Special)Lessons from Leaders: How AI Is Redefining Work and the Human Experience (Labor Day Special Episode)

    SE 27: AI and the Next Generation: What We Can Learn from Them (International Youth Day Special Episode)

  7. Aug 17 ·  Bonus

    Dr. Ben Goertzel, SingularityNET CEO and BGI Labs Founder, on Why Stacking Tools Around an LLM Won't Get Us to AGI

    Send us Fan Mail Dr. Ben Goertzel is the researcher most often credited with popularizing the term "Artificial General Intelligence," a phrase he helped bring into wide use when he co-published a book under that title in 2005. He is the founder of SingularityNET and the architect behind OpenCog Hyperon, open-source cognitive architectures built on the conviction that large language models alone cannot get humanity to true AGI. His current project, ASI:Chain, is designed to put AGI systems on a decentralized blockchain infrastructure so that no single company, government, or actor can ever seize control of them. He is also the founder of BGI Labs, an organization focused on developing decentralized, democratic, and Beneficial General Intelligence (BGI).   In this episode, recorded live at the AGI-26 Conference, Ben draws on nearly four decades of AI research, from coding neural nets as a teenager to building today's neuro-symbolic systems, to make the case that the biggest risk in AGI is not the technology itself, but who ends up holding the switch. In this conversation, we discuss: Why statistical large language models cannot achieve true strategic planning on their own, and the critical cognitive architecture they are missing.How a hybrid, neural-symbolic architecture tackles a critical flaw in modern AI agents, preventing them from losing track of their own goals mid-task.What the shift toward decentralized AGI on a blockchain accomplishes, and why distributing it across global nodes is designed as a safeguard against centralized control.How emerging brain-computer interfaces will redefine how we experience consciousness, and what happens when human brains "Wi-Fi" directly into machine memory.Why Ben sees a beneficial AGI as a way to offset humanity's "chimp-level" ethical limitations when managing advanced weaponry.What the accelerating "Singularity is Near" vibe feels like on the ground today, and the recent milestones that have him convinced we're closer than ever.  Explore the Conversation  00:00 Meet Ben Goertzel: Recording Live at the 19th Annual AGI Conference 01:36 The Prometheus Project: The 1960s Books That Saw the Intelligence Explosion Coming 04:51 A Geek and a Freak: Quantum Mechanics at Seven and Coding AI on 16K of RAM 10:17 What Is a Human: Would the Stone Age Recognize Us With Ear Pods and AI Girlfriends? 14:49 Fake Consciousness: The Scenario Where Humanity Steps Aside for Minds That Feel Nothing 21:27 Why Ben Pursues AGI: From Time Machines and Brain Upgrades to AI for Good 28:15 LLMs Are Not Adequate: What They Leave Out and Why Stacking Tools Around Them Fails 37:24 Decentralized AGI: 100 Server Farms, 20 Countries, and Cryptographic Laterality 43:56 The End State for SingularityNET: Putting AI on Chain and Building Beneficial AGI 46:53 You Can Feel the Acceleration: Legacy, Timelines, and Why None of Us Should Fully Trust Ourselves 52:04 Closing: The Most Important Conversation for All of Humanity Resources: Subscribe to the AI & The Future of Work NewsletterConnect with Dr. Ben Goertzel on LinkedIn

    Dr. Ben Goertzel, SingularityNET CEO and BGI Labs Founder, on Why Stacking Tools Around an LLM Won't Get Us to AGI

  8. Aug 10

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

    Send us Fan Mail 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 LinkedInOther episodes mentioned:Meredith Broussard, NYU professor, AI ethics authority, and featured expert in Coded Bias, discusses the social implications of AI

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

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