You in 2042 ... The Future of Work

Don’t Surrender Your Thinking

John Bennett, a lifelong entrepreneur with more than 37 years of experience, shares his perspective on how AI is reshaping the way we think and work. Having witnessed multiple waves of technological change—from e-commerce and social media to today’s AI revolution—he now focuses on helping people cut through the noise and understand how to use AI thoughtfully. Tune in to hear his insights on productive skepticism, the risk of losing critical thinking skills, and why AI should be treated as a tool—not a substitute for human judgment. Connect with John at formidably.com [https://www.formidably.com/] or explore his book Don’t Surrender Your Thinking, available through major online booksellers. Show Notes [00:26] Introducing John Bennett John Bennett is an entrepreneur with more than 37 years of experience. His journey began selling cans of Coke to classmates at school and has spanned decades of technological change—from the rise of e-commerce and social media to today’s AI revolution. Today, he focuses on helping people understand AI and cut through the noise surrounding it. [01:30] How AI Could Change Judgment at Work John believes the biggest shift AI will bring is not just automation but how people respond to it. If we “mindlessly accept what AI gives us,” we risk losing our ability to think, decide, and apply judgment. But when used critically, AI can save time and strengthen human thinking. [03:23] The Rise of “Productive Skepticism” John says critical thinking will become both more valuable and less common. He describes the skill needed in the future as productive skepticism—being open to AI outputs while still evaluating them carefully. [04:04] The Risk of Thinking Skill Atrophy John compares today’s reliance on AI to how GPS replaced map-reading skills. In the past, people mentally planned routes; today, most rely on automated directions. The same risk exists for decision-making and critical thinking if we rely too heavily on AI. [05:06] Start with Human Intent John recommends approaching AI with clear intent. Instead of treating AI responses as answers, they should be seen as drafts—refined through human expertise, judgment, and accountability. [06:22] Rebalancing AI with Human Interaction Alongside learning to work with AI, John emphasizes the importance of human connection. Conversations with colleagues, communities, and peers help validate ideas and keep work grounded in human perspective. [07:31] AI as an Amplifier John describes AI as an amplifier. If we approach work thoughtfully and critically, AI can strengthen those abilities. But if we seek shortcuts or minimal effort, AI will amplify that as well. [09:22] Choosing the Level of Thinking Working with AI requires deciding how much thinking and intervention to apply each time. Sometimes, a minimal review is enough, but the key is making a conscious choice rather than accepting outputs blindly. [11:58] Understanding What AI Really Is John explains that generative AI models are essentially pattern-prediction machines. They generate responses based on probabilities from vast datasets—they don’t truly understand the world the way humans do. [14:00] Strengthening Critical Thinking Skills The good news is that critical thinking grows through use. Curiosity, questioning assumptions, and maintaining a growth mindset help build stronger thinking over time. [15:41] Where to Learn More from John Bennett John’s book Don’t Surrender Your Thinking is available through major online booksellers. Listeners can also learn more about his work at formidably.com⁠ [https://www.formidably.com/].

Beyond Automation: Human Skills in Action

Lorne Novolker, co-founded Prospero Learning and a seasoned leader in talent development and digital transformation, shares how organizations can navigate workforce change in an AI-accelerated world. From putting strategy before software to integrating AI into core talent decisions, he explains why this moment requires thoughtful leadership—not fear-driven reactions. Tune in to hear his perspective on human differentiators like empathy and judgment, the shift from task-based work to decision-based roles, and the critical debate between skills-first and AI-first strategies. Connect with Lorne at novolker.com [https://www.novolker.com/]or on LinkedIn [https://www.linkedin.com/in/lorne-novolker/]. Show Notes [00:01] Introduction to Lorne NovolkerLorne Novolker is a seasoned leader in learning, talent development, and digital transformation. He co-founded Prospero Learning and was a former executive at GP Strategies and Calian Learning. He now advises organizations on AI-driven talent strategy and EdTech innovation, helping leaders navigate workforce transformation in an AI-accelerated world. [02:02] AI and the Crossroads of Talent StrategyHe describes this moment as both exciting and unsettling, emphasizing that AI must move beyond IT and into core talent strategy. Organizations need to rethink how they recruit, develop, and lead in a way that integrates AI without creating fear. [03:43] Strategy Before SoftwareLorne stresses that AI implementation requires strategic thinking—not just software deployment. The real opportunity lies in integrating AI with human capability, not treating it as a standalone technical solution. [05:07] Lessons from Past Digital TransformationsDrawing parallels to the fax machine, email, and social media, he reflects on how each wave of technology reshaped work. These past evolutions offer important lessons for how we approach AI’s rapid acceleration today. [05:50] Human Differentiators as Premium SkillsHe emphasizes that empathy, critical thinking, context, and judgment will become even more valuable. Rather than competing with AI, humans must complement it by focusing on uniquely human strengths. [07:33] From Task-Based Work to Decision-Based RolesLorne explains that work is shifting away from repetitive tasks toward decision-making and critical thinking. Judgment, in particular, becomes a defining capability in the AI-enabled workplace. [08:50] Learning Faster Than the Pace of DisruptionWith AI accelerating change, he underscores that thriving will depend on the ability to learn faster than disruption unfolds. [09:36] The Cost-Cutting TrapHe identifies a major pitfall: organizations focusing primarily on cost savings rather than long-term value creation. This mindset fuels workforce fear instead of innovation. [11:30] The Skills-First or AI-First DebateLorne outlines the strategic dilemma many organizations face: Should they build a strong skills architecture first and layer AI on top? Deploy AI rapidly and adapt skills later? Or attempt both in parallel? The approach taken will significantly shape future outcomes. [13:04] Connect with Lorne NovolkerHe invites listeners to connect via LinkedIn⁠ [https://www.linkedin.com/in/lorne-novolker/] or visit ⁠novolker.com [https://www.novolker.com/] to continue exploring how AI and talent strategy can evolve responsibly and effectively.

Beyond the Degree: Future-Proofing Students for 2042

Emily Coleman, Co-Founder and CEO of a higher education data analytics company, shares how colleges can prepare students for the jobs of 2042. She explains how predictive modeling informs enrollment, retention, and student success, why adaptability is critical in higher education, and how alternative degree models and data literacy can future-proof graduates. Learn practical insights on using data, nimble strategies, and innovative learning models to help students—and institutions—thrive. Connect with Emily at haianalytics.com or on LinkedIn @EmilyColeman [https://www.linkedin.com/in/emily-chase-coleman-95062779/]. Show Notes [00:26] Introducing Emily Coleman Emily Coleman is the Co-Founder and CEO of a data analytics company serving higher education. With over 23 years in the field, she and her team build predictive models for “admit-to-enroll yields, retention, and student success,” helping institutions make more informed decisions. [01:04] Preparing Students for 2042 Jobs Emily notes that while data science and AI programs are important, the larger issue for colleges and universities is adaptability. She explains that higher education struggles to “shift strategy around to meet new needs” due to its structure—tenured faculty, physical campuses, and long-standing systems. Institutions that learn how to be more nimble, she says, will be the ones that succeed. [02:18] Why Data-Driven Decision Making Matters Emily reflects on how far higher education has come, explaining that when she started her career, a data-driven strategy wasn’t widely embraced. Today, “almost every job has some sort of data component,” even if individuals aren’t directly working with the data themselves. [03:37] Predictive Modeling in Higher Education She describes how universities rely on predictive modeling to support enrollment goals that go beyond headcount and revenue. Schools use data to balance program needs, geographic and ethnic diversity, and limited financial aid—while also examining retention and student satisfaction. Data, she says, now works alongside experience and intuition to confirm or challenge assumptions. [03:54] Data Literacy and Job Readiness Emily explains that most students now graduate with some exposure to data or statistics. While not every career requires great technical skills, she believes understanding how data informs decisions helps graduates be “better off” in a workforce where data is used across industries. [05:03] Rethinking the Traditional Degree Model As more students question the value of a four-year residential degree, Emily emphasizes the need for alternative learning models. She points out that “everyone coming for four years” is no longer practical, especially for working adults, parents, and non-traditional students. Institutions that meet learners where they are will be more sustainable long-term. [06:34] Accelerated Degrees and Return on InvestmentEmily highlights the growing use of accelerated degree programs, noting that saving even a year of tuition can make a significant difference—while still keeping job outcomes and future-ready skills in focus. [09:07] Where to Learn MoreEmily invites listeners to connect with her on LinkedIn or visit her company’s website at haianalytics.com to learn more about her work in higher education and data analytics.

The Inclusive Era: Where Leadership Meets Humanity

Desiree Goldey, Founder of Do Better Consulting, shares real talk about the future of work, shaped by empathy, authenticity, and people-first leadership. She dives into the evolution of DEI and the crucial role middle managers play in creating lasting change. Tune in for bold insights and connect with Desiree at dobetterconsulting.net [https://www.dobetterconsulting.net/] or LinkedIn [https://www.linkedin.com/in/desireegoldey/]. Show Notes [0:30] Introducing Desiree Goldie Desiree Goldie, Director of Marketing and Culture at ZRG Partners. With roots in hospitality, she transitioned into the talent space in 2015 to champion DEI, eventually expanding her expertise across recruiting, operations, analytics, and marketing. [2:05] Shifting to a People-Centered Future Desiree shares her perspective on how the world of work is evolving. She sees a move away from company-centric mindsets toward a stronger focus on people. As we head toward 2042, empathy, inclusion, and belonging will be essential for organizational success, regardless of what labels are used. [3:47] The Evolution of DEI and Leadership Desiree reflects on the surge of DEI initiatives in 2020, noting that while momentum grew, many efforts lacked depth. Organizations often prioritize representation without fostering true inclusion and belonging. As we move forward, she emphasizes the need for intentional strategy and training, especially for leaders and middle managers, to create genuinely inclusive environments by 2042. [6:43] Empathy and Authenticity as Strategy Desiree highlights empathy and authenticity as powerful leadership tools. Leaders who show vulnerability and genuinely support their teams can instantly transform workplace dynamics. She stresses that while empathy may come naturally in personal life, applying it at work is a different skill—one that must be intentionally taught and nurtured. [8:25] The Power of Being Human Desiree emphasizes the importance of simply being human in interactions. She argues that if leaders approach others with empathy and authenticity, not just for the sake of metrics or profits, the world and workplaces would undergo a significant transformation. She advocates for the correlation between empathy, authenticity, and success, believing it can drive both positive societal and organizational change. [9:07] Connecting with Desiree You can follow Desiree on LinkedIn [https://www.linkedin.com/in/desireegoldey/], where she actively shares insights and connects with her community. Visit dobetterconsulting.net [https://dobetterconsulting.net] to learn more and join her newsletter. She’s also on BlueSky under the handle @dobetter.

Building the Human Edge in a High-Velocity Future

Tara Chklovski, former aerospace engineer and CEO of Technovation, breaks down what it takes to thrive in a future shaped by rapid AI growth. From “durable human skills” to managing cognitive load, she shares how to stay relevant, confident, and creative as technology accelerates. Gain practical insights on building technical confidence, navigating uncertainty, and preparing yourself—and the next generation—for a world where anyone can create, lead, and solve meaningful problems. Connect with Tara at Technovation.org [https://www.technovation.org/] or on LinkedIn @TaraChklovski [https://www.linkedin.com/in/tarachk/]. Show Notes: [00:12] Introducing Tara Chklovski Tara Chklovski, former aerospace engineer and CEO of Technovation, leads the world’s largest AI accelerator. She reflects on the rapid pace of change as we look 17 years ahead. [00:57] Rethinking How We Predict the Future Tara shares why predicting 2042 is difficult, noting how unpredictable the past 17 years have been. She recalls Technovation’s early innovations—from mobile app education shortly after the iPhone’s release to publishing curriculum on MOOCs—reminding us that the lead time for staying ahead keeps shrinking. [02:10] Humans and AI: A Growing Collaboration Tara sees human–AI collaboration accelerating, sharing an example of a pastor in Kenya using ChatGPT for weekly sermons. It’s one sign of how quickly AI is integrating into everyday life. [02:40] Beyond Prompt Engineering: Building Durable Human Skills She highlights the “durable human skills” needed in an AI-driven world—creativity, empathy, and problem-solving—and previews an upcoming Oxford workshop focused on these capabilities. [03:00] Solving the Hard Problems Together As simpler issues get solved, Tara notes we’re left with complex, human-centered challenges like inequality and suffering. AI can help address them, but only if people shift toward purpose-driven, collective problem-solving. [04:00] Skills for 2042: Data, Design, and Decision-Making Tara points to rapid prototyping, data science, and analytical thinking as core future skills. With abundant knowledge at our fingertips, people can create and lead more than ever—if they’re ready to make bold decisions. [05:18] Empowering the Next Generation She believes technology and entrepreneurship will remain essential. Future teams will operate faster, smaller, and globally, achieving impact with fewer resources. [05:39] The Bottleneck of Cognitive Load Tara warns that while tech accelerates, human cognitive limits don’t. Managing cognitive load will be a major challenge as problems and workdays grow more complex. [06:09] Resilience as a Core Skill She emphasizes resilience and cognitive load management as key leadership skills. Tara urges integrating coping strategies into education to prepare future leaders. [07:10] Why Technical Learning and Self-Efficacy Matter Most Now Tara stresses cognitive problem-solving and self-efficacy as essential. Staying relevant means embracing discomfort, learning new skills, and practicing technical problem-solving daily. She encourages everyone—even beginners—to build simple coding projects to expand their confidence and adaptability. [09:45] Blurring Work-Life Boundaries for Growth She challenges traditional work-life balance, suggesting deeper integration helps individuals continue learning while tackling big problems. [10:10] From Passive Consumption to Active Creation Tara notes how much time is spent on passive consumption and urges shifting toward making and building instead. [10:50] Making Small, Intentional Shifts Even replacing a small portion of passive habits with simple technical projects can improve problem-solving and confidence. [11:12] Where to Find Tara’s Work and Wisdom Tara invites listeners to explore Technovation.org⁠⁠ [https://www.technovation.org/] , where her organization empowers girls globally to solve real-world problems with technology. She also encourages people to volunteer or judge student submissions, and to follow her on LinkedIn [https://www.linkedin.com/in/tarachk/] for practical insights and learning tips. ⁠ [https://www.technovation.org/]