The Future Of Less Work

Nirit Cohen

What if the future of work isn’t about having all the answers but about asking the right questions? The Future Of Less Work podcast reimagines the relationships between individuals, organizations, and work. Hosted by work futurist Nirit Cohen, the podcast delves into the evolving work ecosystem through conversations with leaders, thinkers, and visionaries. Together, they explore how we are co-creating work—one puzzle piece at a time. https://workfutures.niritcohen.com/ https://linktr.ee/niritcohen

  1. Can Humans Compete With AI At Work with Rob Garlick

    1d ago

    Can Humans Compete With AI At Work with Rob Garlick

    Will AI replace jobs? What happens when AI agents and robotics become cheaper, faster, and more scalable than human workers? And how will AI impact wages, inequality, and the future of capitalism? In this episode of The Future of Less Work, host Nirit Cohen sits down with Rob Garlick, author of AI – Anarchy or Abundance? and Visiting Professor at the University of Surrey, to explore how artificial intelligence, automation, and non-human labor could reshape the global workforce. Together, they unpack why AI is not just a productivity tool but a new form of labor competing with people on cost and speed, why companies may replace workers faster than societies can adapt, and what happens when economic systems reward efficiency over human value. The conversation explores AI job displacement, wage pressure, AI and capitalism, universal basic income, the future of careers, shorter work weeks, reskilling, and the growing tension between shareholder expectations and social stability. Garlick also shares his BESST framework for building a more “pro-human” AI economy, focused on better jobs, enough opportunity, safety nets, and giving people a greater voice in shaping the future of work. If you’re wondering how AI will change jobs, whether technology creates abundance or inequality, and what leaders should do now to prepare for the next phase of work, this episode is for you.   https://youtu.be/_u_yJAqKni0   Guest Information: Rob Garlick is the author of AI – Anarchy or Abundance? and a Visiting Professor at the Future of Work Research Centre at the University of Surrey. With three decades experience working with C-suite leaders and top investors globally, Rob guides, speaks and writes about AI, innovation and pro-human leadership. Rob held a number of senior leadership roles at Citi, including: Head of Innovation, Technology and the Future of Work; Head of Research for EMEA; Global Research Product Head; and US Sales Head. Rob started his career as an analyst and US Fund Manager. Amongst other qualifications he holds a Masters in Behavioural Change, is an AIIMR prize-winner and EMCC Senior Practitioner. Chapters: 00:00 Can Humans Compete With AI at Work? 01:35 Why Companies Will Replace Labor With AI 04:25 Can Businesses Choose People Over Profits? 06:15 Will AI Cause Political and Social Backlash? 08:20 What History Teaches Us About AI and Jobs 10:45 Can AI Create Better Work Instead of Unemployment? 15:00 Will AI Create More Entrepreneurs Than Employees? 17:45 Do We Need New Safety Nets for the AI Economy? 20:30 Universal Basic Income vs. Meaningful Work 22:15 Why Workers Need a Say in AI Decisions 24:45 Why AI Transformation Is Really a People Problem 27:45 What Makes Humans Valuable in the Age of AI? 31:40 How CEOs Can Build a Pro-Human AI Strategy 33:40 The Future of Work Depends on Human Choices

    34 min
  2. What Is The Last Mile Problem In AI with Darren Kimura

    Jun 16

    What Is The Last Mile Problem In AI with Darren Kimura

    Why are so many enterprise AI adoption projects failing? What happens when AI stops being a visible tool and becomes invisible infrastructure embedded directly into workflows?   In this episode of The Future of Less Work, host Nirit Cohen sits down with Darren Kimura, CEO of AI Squared, to explore what he calls the “last mile” problem of enterprise AI transformation: the gap between successful AI pilots and actual operational change inside organizations.   As companies race to deploy AI, Darren argues that the real challenge is no longer the models themselves. The bottleneck is integration, orchestration, governance, and redesigning workflows built for a pre-AI world. The conversation explores why organizations remain trapped between experimentation and transformation, how fragmented enterprise systems prevent AI from becoming operational at scale, and why simply adding AI tools on top of legacy processes rarely delivers the productivity gains leaders expect.   Together, they discuss the future of ambient AI systems that disappear into workflows entirely, the growing importance of orchestration layers connecting enterprise data and agents, and why human oversight becomes even more critical as AI grows more autonomous. The episode also explores the risks of employees gradually deferring judgment to systems they no longer fully understand, the tension between speed and governance, and why organizations may need entirely new operating models to fully realize AI’s potential.   If you’re trying to understand why enterprise AI adoption continues to stall despite massive investment — and what organizations must redesign before AI can truly transform work — this episode explores the hidden infrastructure shaping the future of work itself.   https://youtu.be/hq_a_AruHJ8   Guest Information: Darren Kimura is the CEO and President of AI Squared. Darren Kimura brings over 25 years of experience in scaling technology companies and bridging AI with enterprise solutions. Prior to his recent appointment, Kimura joined AI Squared in 2024 as President and COO and has been instrumental in shaping the company's operational growth and strategic direction. Kimura also served as President and CEO of Energy Industries Corporation, Solar Power Technology, and LiveAction.    Chapters: 00:00 Why Enterprise AI Adoption Is Stalling01:13 What Happens When AI Disappears Into Workflows?05:21 What Is The Last Mile Problem In AI?08:12 Why AI Needs Orchestration, Governance, and Trust09:24 Are Legacy Systems Blocking AI Transformation?11:49 Why AI Pilots Fail To Deliver ROI14:28 Shadow AI, Governance, and Enterprise AI Adoption19:31 Human In The Loop: Who Owns AI Decisions?21:36 Can AI Create Billion-Dollar Companies With No Employees?24:54 The Most Important Future of Work Question25:10 How AI Frees Humans To Focus On Creativity

    28 min
  3. How Labor Markets Decide Who Gets Hired with Gregory Haile

    Jun 9

    How Labor Markets Decide Who Gets Hired with Gregory Haile

    What happens when companies say they can’t find talent while millions of highly skilled people remain underutilized? Why are qualified doctors, engineers, and technologists still overlooked in a labor market desperate for talent? In this episode of The Future of Less Work, host Nirit Cohen sits down with Gregory Haile, CEO of Upwardly Global, Senior Fellow at Harvard Kennedy School, and Chairman of the Board of the Federal Reserve Bank of Atlanta, to explore the growing mismatch between labor shortages and hidden talent. As demographic decline shrinks the traditional workforce pipeline, Gregory argues that the real problem is not simply a lack of talent, but outdated systems for recognizing it. The conversation explores how employers still rely on familiar credentials, networks, career paths, and signals of credibility that increasingly fail to reflect real capability. From internationally trained doctors driving taxis to highly skilled immigrants blocked by hiring systems they don’t understand, the episode uncovers how labor markets continue to overlook talent already available and ready to work. Together, they discuss why AI could either widen or narrow access to opportunity, how skills-based hiring still struggles against old assumptions, and why continuous learning, critical thinking, and adaptability are becoming essential in a world where skills change faster than ever before. If you’re trying to understand why companies struggle to find talent while capable people remain unseen — and how AI, demographics, and workforce redesign are reshaping who gets hired and who gets left behind — this episode explores the future of talent recognition itself. https://youtu.be/1IPTF7sb5JE  Guest Information: Gregory Haile is a nationally recognized leader at the intersection of economic mobility, workforce innovation, and U.S. competitiveness. As CEO of Upwardly Global—the nation's leading organization advancing the integration of internationally trained professionals into the American workforce—he works to unlock overlooked talent at a moment when workforce shortages, demographic shifts, and global competition demand smarter, more inclusive talent strategies. Greg also serves as Chair of the Federal Reserve Bank of Atlanta, the first educator to hold the role in 70 years, and as a Senior Fellow at Harvard Kennedy School's Mossavar-Rahmani Center for Business and Government, where his research examines how economic mobility, workforce readiness, and AI intersect with U.S. national security and global competitiveness. A former college president, corporate litigator, and advisor to businesses and governments, Greg brings a systems-level perspective across education, finance, public policy, and innovation. Chapters: 00:00 Why Companies Can't Find Talent While Millions Remain Unemployed 03:20 Will Demographic Decline Create a Permanent Talent Shortage? 07:33 Why Employers Still Miss Qualified Talent 08:55 Can Skills-Based Hiring Replace Degrees and Credentials? 10:05 How To Get Hired When AI Screens Your Resume 12:08 What Human Skills Matter Most In An AI Economy? 14:35 Why Young Professionals Still Need To Learn Without AI 16:07 Which Hiring Assumptions No Longer Match Reality? 17:00 Why Your Network Still Determines Your Career Opportunities 18:15 Will Remote Work Expand Access To Global Talent? 19:04 Why Companies Overlook Talent Hiding In Plain Sight 22:01 Can AI Help Employers Recognize Hidden Talent? 23:08 How Labor Markets Must Change To Solve Talent Shortages 24:32 Why Qualified Doctors Still Can't Get Hired 27:39 The $40 Billion Cost Of Wasting Skilled Talent 29:30 How Can We Increase Productivity Without Sacrificing Meaningful Work?

    31 min
  4. How AI Is Changing Who Performs Best at Work with Brian Madden

    Jun 2

    How AI Is Changing Who Performs Best at Work with Brian Madden

    What happens when every employee starts building their own AI second brain and performance is no longer defined by experience, but by the intelligence you build around yourself? In this episode of The Future of Less Work, host Nirit Cohen sits down with Brian Madden, Futurist at Citrix Systems, to explore how individuals are creating personal AI “second brains” that reshape how they think, decide, and get work done. Together, they unpack how this is creating a new gap between employees, why capability is shifting from roles to human-AI combinations, and what it means when work moves from execution to orchestration. If your best people are already building their own AI second brain, what does that mean for everyone else and for the organization trying to keep up? https://youtu.be/YLw72rtP3Ms   Guest Information: Brian Madden is a technology officer and futurist at Citrix, where he explores how AI is reshaping knowledge work. He writes regularly at citrix.com/blogs, discusses workplace AI on LinkedIn, and gives talks globally on the future of work. Brian has spent the past 31 years focusing on end-user computing, digital workplace trends, and the evolving nature of knowledge work. Along the way he's started and invested in companies, written six books, published more than 2,000 articles, and delivered over 1,000 talks around the world.   Links: Brian Madden | LinkedInExplore the Enhanced Citrix Platform: Secure, Scalable, and High-Performing IT SolutionsBrian Madden – Citrix Blogs

    36 min
  5. How Organizations Become Built For AI with Alex Bombeck

    May 26

    How Organizations Become Built For AI with Alex Bombeck

    Why are so many organizations investing heavily in AI and still struggling to create meaningful business value from it? In this episode of The Future of Less Work, host Nirit Cohen sits down with Alex Bombeck, CEO of North Highland, to explore why AI is forcing companies to rethink the architecture of work itself. As AI changes not just the tools people use but the work itself, Alex argues that organizations built for stability, predictability, governance, and functional silos are now struggling to adapt. The conversation explores why traditional operating models create friction, why leadership behaviors designed for control become barriers to innovation, and why companies cannot simply layer AI onto existing structures and expect transformation to happen. Together, they discuss how organizations can redesign themselves to become “Built for AI,” including rethinking the relationship between people and work, classifying different types of work, shifting from functions to outcomes, and moving from rigid org charts toward more fluid mission-based teams. Alex explains why leaders must stop measuring activity and begin rewarding curiosity, experimentation, and people-led innovation in environments where the path to the outcome is no longer predefined. If you’re trying to understand why AI transformation often stalls inside traditional organizations and what leaders actually need to redesign in order to create organizations that can continuously evolve, this episode explores what it really means to become Built for AI. https://youtu.be/-LdE4yfIiQg  Guest Information: North Highland CEO Alex Bombeck advocates a people-centered approach that transforms organizational and operational processes, enterprise agility, and work cultures. Since joining North Highland in 2014, Bombeck has led the firm in a variety of areas including digital and experience design, data and analytics, agile transformation, and North Highland’s revenue and growth strategy. He has also served as a member of North Highland’s board since 2018, and the Metro Atlanta Chamber’s board of directors since 2022. Over the course of 15 years with Havas Worldwide, Bombeck served in several leadership roles including Chief Strategy Officer – Marketing Services, President – Havas Digital, President – CRM & Analytics, and Chief Digital Officer. In a client management capacity, Bombeck was previously Worldwide Account Director at IBM for 15 years, North American Digital Account Director at Intel for five years, and North American Digital Brand Director at multiple Diageo brands for seven years. He also oversaw the digital and direct marketing strategies of global brands such as BMW, Volvo, Charles Schwab, Coca-Cola, AT&T, Novartis, and Schering-Plough. Bombeck holds a Bachelor of Science degree in business administration from the University of Vermont. He also completed the Executive Education Programs in Leadership Excellence and Accounting & Finance at The Wharton School of the University of Pennsylvania. Bombeck is a certified scrum master and product owner, co-author of Getting from Zero to Digital, a multiple Effie Award Finalist, and in 2017 he was named a top 25 global consultants by Consulting Magazine. Chapters: 00:00 - Why Organizations Struggle To Become Built for AI03:30 - Why AI Requires Organizational Redesign, Not Reorganization06:06 - Why Job Descriptions and Task-Based Work Are Breaking08:45 - From Org Charts to Outcome-Based Work12:02 - The Hidden Organizational Taxes Slowing AI Transformation14:28- How To Classify Work for the AI Era19:01- Why AI Transformation Must Ignore Functional Silos21:31- Where Leaders Should Start AI Transformation26:38- The Practical Framework for Redesigning Work With AI30:06- Why Traditional KPIs and Incentives No Longer Work34:10— Why AI Transformation Depends on Leadership, Not Technology37:16— Why AI Needs People-Led Innovation40:05— What Will Count as Work in the Future?41:46— Why Culture Determines AI Success

    45 min
  6. Real Examples of Robots Working Alongside Humans with Burkhard Boeckem

    May 19

    Real Examples of Robots Working Alongside Humans with Burkhard Boeckem

    What happens when AI moves beyond software and into the physical world—through robots and humanoid robots working alongside humans? How do organizations redesign work when machines don’t just support decisions, but actually execute tasks? In this episode of The Future of Less Work, host Nirit Cohen sits down with Burkhard Boeckem, Chief Technology Officer at Hexagon, to explore how “physical AI” is entering real-world workplaces from factories to autonomous systems. They discuss how work is shifting from individual roles to human-machine systems, why trust becomes the central challenge when AI operates in physical environments, and what it takes to bridge the gap between what these technologies can do in theory and what actually works in practice. https://youtu.be/X3xWDUFj1mk  Guest Information: Burkhard Boeckem is the Chief Technology Officer (CTO) of Hexagon, where he leads the company’s innovation goals for a future shaped by autonomy, robotics, and spatial intelligence. Burkhard leads Hexagon’s technology evolution toward autonomous systems, integrating artificial intelligence, edge computing, LiDAR, and 5D digital twin capabilities into scalable technology platforms that support complex industrial ecosystems. Most recently, Burkhard started and set up the team that developed the company’s first humanoid robot, AEON, built for industry, launched in June 2025.   Links: Hexagon's Robot Generation Report: https://hexagon.com/robotics/the-robot-generation   Chapters: 00:00 — What Is Physical AI In The Workplace?01:26 — How Is Physical AI Different From Automation?04:07 — What Will Humans Do When Robots Can Execute Tasks?06:06 — Will Humanoid Robots Replace Factory Workers?10:06 — Why Do Robots Need To Look Like Humans?12:58 — How Would You Build An AI-First Factory?14:38 — What Is The Human Role In AI-Powered Workplaces?17:49 — How Are Companies Using Humanoid Robots Today?20:31 — How AI And Robots Change Factory Workflows22:18 — What Will It Feel Like To Work Alongside Robots?25:26 — Why Is Trust The Biggest Challenge In Physical AI?28:05 — Why Physical AI Is Harder Than Digital AI31:29 — What Questions Should We Ask About The Future Of Work?33:13 — How Should Schools Prepare Humans For AI And Robots?

    36 min
  7. Why Most Companies Still Don’t Hire Globally with Sagar Khatri

    May 12

    Why Most Companies Still Don’t Hire Globally with Sagar Khatri

    What does it actually take to hire the best person for the job no matter where they are in the world? In this episode of The Future of Less Work, host Nirit Cohen sits down with Sagar Khatri, CEO and co-founder of Multiplier, to explore what’s really behind the promise of global hiring. The idea sounds simple: if talent exists everywhere, companies should be able to access it from anywhere. But in practice, most organizations stilldon’t. Sagar explains why the challenge is no longer about possibility but about execution. From operational complexity to deeply ingrained habits, companies are still figuring out what it takes to actually hire across borders. The conversation also uncovers a shift in how companies engage talent. Moving beyond outsourcing and contract work, organizations are increasingly hiring globally as employees—especially in critical roles shaped by AI, where ownership, continuity, and intellectual property matter more than ever. And global hiring itself is evolving. It’s no longer just about accessing lower-cost talent. It’s becoming a way to access markets,customers, and growth—changing how companies think about where work happens and why. If you’re trying to understand the shift from moving people to work to moving work to people — and what it takes to actually make that happenת this episode gets to what’s actually changing, and what it takes to make itreal. https://youtu.be/BDiPm87u0_Q Guest Information:Sagar Khatri, a visionary leader and entrepreneur, serves as the CEO and co-founder of Multiplier, a pioneering global employment solution empowering businesses to seamlessly hire, onboard, and compensate talent across 150+ countries. Motivated by his firsthand encounters with the complexities of international expansion in prior ventures, Sagar, alongside his co-founders, established Multiplier to redefine the employment landscape. Their mission is to simplify global workforce management, ensuring it's as effortless as managing local teams, while handling intricacies such as employment contracts, payroll, taxes, and benefits in compliance with local regulations. Links:Linkedin: https://www.linkedin.com/in/sagar-khatri-53529359/Multiplier website: https://www.usemultiplier.com/ Chapters:00:00 What Does It Mean To Hire Talent Anywhere In The World?01:08 Are Companies Really Hiring Globally?02:14 Why Is Work Still Tied To Location?03:04 How Remote Work Changed Global Hiring05:25 Why H-1B Costs Are Changing Hiring Strategy08:23 What Actually Blocks Global Hiring Today?09:02 Why Companies Are Still Afraid To Hire Internationally10:11 Are Companies Moving Away From Gig Work?10:59 Why AI Is Driving A Shift Back To Full-Time Employment14:04 Why Companies Around The World Are Hiring In North America15:30 How AI Is Changing Global Talent Flows17:08 Can You Build A Global Company From Anywhere?19:41 What Will The Workforce Look Like In The Age Of AI?23:30 What Are Micro Enterprises And The “Atom Of Work”?25:12 What Is The Most Important Question About The Future Of Work?25:39 How Global Work Changes Careers, Companies, And Governments

    29 min
  8. How AI Is Expanding Agency At Work with Jared Spataro

    May 5

    How AI Is Expanding Agency At Work with Jared Spataro

    What happens when employees can do more than their organizations allow? As AI takes on execution, people are gaining the ability to direct work, make decisions, and own outcomes. But most organizations are not built to absorb that shift. In this episode of The Future of Less Work, host Nirit Cohen sits down with Jared Spataro, Chief Marketing Officer, AI at Work at Microsoft, to explore the findings behind the 2026 Microsoft Work Trend Index—and the growing gap between individual capability and organizational readiness. Together, they unpack what Microsoft calls “blocked agency,” the emerging reality where employees are ready to operate at a higher level but are held back by outdated structures, metrics, and management practices. The conversation explores how AI is shifting work from execution to decision-making, why the most advanced users sometimes choose not to use AI, and how “frontier professionals” are already redesigning work around agents. Spataro shares what separates “frontier firms” from the rest, why organizational culture and management practices matter more than individual skill, and how both bottom-up experimentation and top-down leadership are required to unlock real value. He also offers a look at what’s already changing inside software development—and why that transformation is a preview of what’s coming across all knowledge work. If you’re trying to understand why AI isn’t delivering the impact organizations expected—or what it will take to redesign work around it — this is a conversation you won’t want to miss. Want to dive deeper into this topic? Read Nirit’s Forbes article, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠”⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AI Is Expanding Employee Agency. Why Most Organizations Block It⁠⁠”, to explore these ideas further.   https://youtu.be/F1T121bDMp4  Guest Information: Jared leads efforts to help every organization leverage AI to solve their unique business problems, reduce costs, and drive net-new value creation. Jared and his team conduct research to help predict and shape what the future of work and business will look like across industries, while also delivering new products and features within Copilot, Microsoft 365, Dynamics 365, and Power Platform.    Links: https://www.microsoft.com/en-us/worklab/work-trend-index  Chapters: 00:00 – How AI Is Changing Work In 202601:48 – 2026 Microsoft Work Trend Index02:43 – What Kind Of Work People Use AI For Today04:01 – Who Are Frontier Professionals In AI06:01 – Why The Best AI Users Know When Not To Use AI06:55 – Will AI Hurt Learning And Skill Development At Work08:35 – What Is Blocked Agency At Work09:14 – Why Organizations Block AI Impact10:38 – Can Managers Unlock AI Without Changing Culture11:10 – How One Employee Can Change AI Culture At Work13:06 – Why Fear Blocks AI Adoption In Organizations14:57 – Why AI Training Alone Doesn’t Work15:39 – What Is A Learning Organization In The Age Of AI17:46 – What Are Frontier Firms Doing Differently With AI18:09 – How AI Is Changing Jobs From Doers To Managers20:26 – What Happens If Organizations Get AI Right22:27 – Can Companies Transform Fast Enough For AI23:39 – Why The Future Of Work Is Not About Efficiency

    24 min
5
out of 5
5 Ratings

About

What if the future of work isn’t about having all the answers but about asking the right questions? The Future Of Less Work podcast reimagines the relationships between individuals, organizations, and work. Hosted by work futurist Nirit Cohen, the podcast delves into the evolving work ecosystem through conversations with leaders, thinkers, and visionaries. Together, they explore how we are co-creating work—one puzzle piece at a time. https://workfutures.niritcohen.com/ https://linktr.ee/niritcohen