A weekly reality check on sensible investing and financial decision-making, from three Canadians. Hosted by Benjamin Felix, Cameron Passmore, and Dan Bortolotti, Portfolio Managers at PWL Capital.
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How Leveraged ETFs Really Work (Marco Sammon & Chirs Murray) | #432
Saison 2 · Épisode 432
jeudi 22 octobre 2026 • Durée 01:41:18
In this episode, we are joined by Chris Murray, quantitative researcher and former equity quant and trader, and Marco Sammon, Assistant Professor of Finance at Harvard Business School, for an exceptionally nerdy deep dive into leveraged exchange-traded funds (ETFs). Drawing on their research, Chris and Marco challenge common assumptions about daily rebalancing, volatility drag, and the long-term performance of leveraged products, offering a more rigorous framework for understanding how these investments actually work.
We explore the mathematics of compounding, the surprising relationship between leverage and long-term returns, and the competing effects of what Chris and Marco call the "convexity bonus" and volatility drag. They explain why leveraged ETFs don't simply deliver a multiple of an underlying asset's long-term return, how financing costs and fund fees compound over time, and why a stock can rise substantially while its leveraged ETF still underperforms. We also examine how daily rebalancing can affect underlying stock prices, why these effects are more pronounced in volatile, less liquid markets, and how to assess the break-even return required
for leveraged ETFs to outperform their underlying assets.
Finally, we discuss what these findings mean for investors considering leverage as part of a portfolio, the distinction between modest leverage on diversified indexes and speculative single-stock products, and why the right benchmark matters when evaluating investment performance. This conversation challenges some long-held beliefs about leveraged ETFs while offering a clearer framework for understanding their risks, costs, and potential uses.
Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)
The Madness of Markets (Alex Edmans) | #431
Saison 2 · Épisode 431
jeudi 15 octobre 2026 • Durée 01:06:42
In this episode, we welcome back Alex Edmans, Professor of Finance at London Business School and author of Grow the Pie, May Contain Lies, and The Madness of Markets. Drawing on academic research and real-world market examples, Alex explores how emotions, social influence, and psychological biases shape investor behavior—and why even apparently irrational markets can be difficult to beat.
We examine how a country's stock market can react to a football loss, why investors overreact to exciting stories and underreact to less visible information, and how identical assets can trade at different prices. Alex also unpacks the evidence behind reversal, value, and momentum strategies, the challenges of exploiting market anomalies, and why skewed stock returns make diversification so important. The conversation ultimately returns to a fundamental investing question: even if you can identify market inefficiencies, do you have the edge, patience, and cost advantage needed to benefit from them?
(0:01:49) How losing a World Cup match can affect a country's stock market—and what this reveals about emotion‑driven trading.
(0:03:01) The relationship between weather, sunlight, and market sentiment.
(0:03:49) Spurious correlations and data mining: why an apparent relationship needs a plausible economic explanation and out‑of‑sample testing.
(0:06:42) Wisdom versus madness of crowds: when collective judgments can be useful and when social influence leads investors astray.
(0:09:44) Overreaction in markets, from the pandemic‑era rise of Zoom to the dramatic response to Allbirds' AI rebranding.
The Truth About Leveraged ETFs | #430
Saison 2 · Épisode 430
jeudi 8 octobre 2026 • Durée 01:06:11
In this episode, Ben Felix, Dan Bortolotti, and Kelly Thomas revisit some of the blind spots from their recent discussion about the finances of marriage before diving into a deeply nerdy discussion about leveraged ETFs. Kelly brings a different perspective to questions around spending roles, career sacrifices, financial autonomy, and the mental load of managing household finances.
The main discussion explores leverage, human capital, volatility drag, and the long-held belief that daily resets make leveraged ETFs poor long-term investments. Ben explains how his own thinking changed after feedback from the Rational Reminder community and a growing body of research, arguing that daily resets themselves do not cause volatility drag—volatility does. The conversation examines when leverage might make theoretical sense, why the safety of human capital is a critical assumption, and why what looks optimal in a model may be difficult to stick with in real life.
They also examine the practical risks and costs of leveraged ETFs, including financing costs, swap counterparty risk, extreme drawdowns, and the very different experience of leveraged index ETFs versus single-stock leveraged ETFs. The episode ultimately comes back to a broader financial planning question: if your financial goals can be achieved without leverage, do you actually need the additional risk?
Key Points From This Episode:
(0:04:00) Kelly Thomas joins to discuss marriage and money.
(2:33:00) Household roles and mental load complicate "spendthrift vs. tightwad" labels.
(5:37:00) Financial autonomy vs. infidelity—transparency doesn't mean loss of independence.
(6:52:00) Financial control can cross into abuse; independent access to money is essential.
Who Causes Stock Market Anomalies? (w/ Victor Haghani) | #429
Saison 2 · Épisode 429
jeudi 1 octobre 2026 • Durée 01:07:30
In this episode, we're joined by Victor Haghani, founder of Elm Wealth and co-author of The Missing Billionaires, for a wide-ranging conversation about how different types of investors shape financial markets. Victor explains the framework behind his forthcoming paper, Who Killed the Random Walk?, and how fundamental investors, static investors, and extrapolators interact to produce momentum, excess volatility, and other market anomalies.
We explore why return chasing is different from momentum investing, how investor flows and inelastic demand can move markets, and how the Merton share connects expected returns and risk to portfolio allocation. Victor also discusses long-short direct indexing and tax-loss harvesting, his experiment giving investors tomorrow's Wall Street Journal today, how AI performed in the same trading game, the role of leverage in financial markets, and when borrowing to invest might make sense. We finish with Victor's advice to his younger self: be intentional about financial planning, build financial literacy, and make a plan.
Key Points From This Episode:
(0:01:20) Lessons from The Missing Billionaires—practical insights on sizing and the Kelly criterion.
(0:03:13) Who Killed the Random Walk?—persistent puzzles in stock returns: excess volatility, momentum, fat tails, booms, and busts.
(0:05:06) Victor's three investor types: fundamental value investors, static investors, and extrapolators.
(0:07:54) How static investors amplify market movements through inelastic demand.
(0:11:11) How investor types interact to shape volatility, momentum, and equilibrium.
(0:14:02) Wealth flows between investor types and how they create instability in simulations.
(0:18:15) Distinguishing extrapolative return chasing from systematic momentum strategies.
(0:20:34) How extrapolators create price trends that momentum investors exploit.
(0:23:46) The Merton share—risk premiums, volatility, and risk aversion in determining equity exposure.
Wealthy People Are Hiding in Plain Sight (ft. Owen Zidar) | #428
Saison 2 · Épisode 428
jeudi 24 septembre 2026 • Durée 01:04:53
What happens when a small group of exceptionally wealthy people holds a growing share of a country's income and wealth? And what can economics tell us about the forces behind that concentration?
In this episode, we are joined by Owen Zidar, professor of economics and public affairs at Princeton University and coauthor of the forthcoming book The Everywhere Millionaire. We explore the rise of the millionaire class, how tax policy shapes inequality, and why the geography of wealth matters when trying to understand the economic landscape.
We also discuss the role of entrepreneurship, industry-specific knowledge, and concentrated ownership in building wealth. Owen shares insights from extensive Treasury data, interviews with business owners, and research into the paths taken by millions of entrepreneurs. The conversation examines why access to capital may be less important than practical experience, how private equity can help or hurt business owners, and how local business consolidation can affect both consumers and workers.
Finally, we explore the influence of "everywhere millionaires" on public policy, the impact of interest rates on wealth valuations, and possible ways to expand access to entrepreneurial opportunities without undermining economic growth.
(0:01:15) Why the typical wealthy American is more likely to be a business owner than a celebrity or Wall Street executive.
What to Know Before (and After) You Hire an Advisor (w/ Matthew Taylor) | #427
Saison 2 · Épisode 427
jeudi 17 septembre 2026 • Durée 01:18:01
In this episode, we're joined by Matthew Taylor, a litigation lawyer with Sotos Class Actions in Toronto who represents retail investors and pension funds in securities class actions. We take a deep dive into what makes a successful negligence claim against a financial advisor, how courts assess fiduciary relationships in Canada, and what investors should look for when evaluating the people managing their money.
We explore the evidence that can strengthen or weaken a negligence claim, from one-size-fits-all portfolios and unexplained trades to poor communication and failures to account for changing life circumstances. Matthew also explains the distinction between suitability and fiduciary standards, the factors courts consider when determining whether a fiduciary relationship exists, and why professional affiliations and explicit fiduciary commitments can matter.
The conversation then turns to class actions, including how securities claims differ from individual negligence lawsuits, what makes a claim suitable for class proceedings, and why regulatory investigations, specialist law firms, litigation funding, and parallel U.S. proceedings can provide important signals. We also discuss pension funds, their role as plaintiffs, and why monitoring potential claims and settlements can be part of managing beneficiaries' assets.
Finally, we examine the growing retailization of private assets and the risks created by limited information, complex structures, opaque fees, illiquidity, and manager-determined valuations. Matthew explains what advisors and clients should consider before investing in private funds—and why he expects more litigation in this area. We close with the legal and regulatory challenges created by financial influencers, and how investors and advisors can build greater resilience against misleading financial content.
Key Points From This Episode:
(0:01:04) Advisor errors leading to negligence claims—KYC, KYP, suitability failures, plus warning signs like one-size-fits-all portfolios, unexplained trades, concentrated positions, churning, and double dipping.
The Finances of Marriage | #426
Saison 2 · Épisode 426
jeudi 10 septembre 2026 • Durée 01:08:25
In this episode, Ben Felix, Dan Bortolotti, and Ben Wilson take a research-driven look at the finances of marriage, from spending personalities and prenuptial agreements to wedding costs, joint accounts, financial infidelity, and household decision-making. The conversation explores how the way couples think about and manage money can affect both financial outcomes and relationship satisfaction.
We unpack the difference between being frugal and being a "tightwad," why tightwads and spendthrifts may be drawn to each other despite having more conflict later, and how simply understanding your partner's spending tendencies can improve financial conversations. We also examine the case for prenups, the role of optimism bias in avoiding them, and how couples can use legal agreements to deliberately design their financial arrangements.
The discussion then turns to wedding spending, including the marketing forces behind engagement-ring conventions and research linking higher spending on rings and weddings with greater divorce risk in some samples. Finally, we look at the evidence for managing money jointly, the risks of financial infidelity, and why both partners should be involved in household financial decisions. The central theme throughout is simple: couples tend to be better served when they approach their finances as a team and communicate openly.
(0:01:00) Why who you marry can be one of the most consequential financial decisions of your life.
(0:04:24) Why marriage changes both the emotional and legal nature of a couple's financial relationship.
The Ethics Problem in Financial Services (Dr. Moira Somers & Philippa Hann) | #425
Saison 2 · Épisode 425
jeudi 3 septembre 2026 • Durée 01:23:32
In this episode, we're joined by Philippa Hann and Dr. Moira Somers, co-authors of The Fault Lines of Finance: Understanding and Preventing Financial Misconduct, for a deep dive into why good people can do bad things with other people's money. Philippa brings two decades of experience suing financial advisors, wealth managers, and banks, while Moira brings her expertise as a clinical neuropsychologist working with financial professionals, families, and the human side of money.
We explore the psychology and systems that can allow financial misconduct to happen, from financial stress, incentives, and information asymmetry to workplace culture, poor training, exhaustion, and the pressure to please. Philippa and Moira explain why ethical behavior is not simply about knowing right from wrong, and why developing "ethical health" requires understanding your own vulnerabilities, building a moral operating system, and having people you can turn to when doing the right thing becomes difficult.
We also discuss how investors can evaluate financial professionals, why complexity and exciting financial products deserve extra scrutiny, the role of regulators and insurers, and why financial sophistication doesn't necessarily protect people from being exploited. Along the way, Philippa and Moira share case studies illustrating ethical drift, confirmation bias, and the ways seemingly small decisions can compound into serious misconduct. The conversation ultimately makes the case for moral humility, strong relationships, healthy organizational cultures, and the willingness to tolerate discomfort when something doesn't feel right.
Key Points From This Episode:
(0:00:00) Introduction.
(0:02:02) What financial misconduct means and why "other people's money" matters.
(0:02:35) Philippa's 20 years in litigation and the core question: why do good people do bad things?
50 Years of Evidence-Based Investing (w/ David Booth) | #424
Saison 2 · Épisode 424
jeudi 27 août 2026 • Durée 01:05:29
In this episode, we welcome back David Booth, Co-Founder of Dimensional Fund Advisors and author of Stay Calm: Learn to Embrace Uncertainty in Investing and Life. David reflects on his remarkable career at the center of the evidence-based investing revolution, from studying under Eugene Fama at the University of Chicago to helping build investment strategies around decades of financial research.
We explore what the data revealed about markets and professional money management, why implementation matters as much as great ideas, and how investors can make better decisions without trying to predict the unpredictable. David also shares his views on trust, financial advice, public versus private markets, human ingenuity, and the meaning of true wealth. Along the way, he explains why staying calm, having a process, and staying invested can matter far more than finding the next winning forecast.
Key Points From This Episode:
(0:00:04) Introducing David Booth and his new book, Stay Calm: Learn to Embrace Uncertainty in Investing and Life.
(0:01:15) What David learned as a commission-based shoe salesman: Do the right thing and be upfront with people.
(0:03:35) The gift of being an outsider and how financial science changed the investing experience for ordinary investors.
(0:05:38) Why outsiders are often willing to challenge assumptions—and how data changed the debate.
(0:06:53) David's experience arriving at the University of Chicago and studying under Eugene Fama.
(0:07:49) Inside Chicago's rigorous research culture and the lessons David learned from presenting his work.
(0:10:03) The empirical challenge behind efficient markets and why data mattered more than beliefs.
(0:11:41) How Fama and French approach research by trying to prove their own conclusions wrong.
The Future of AI in the Workplace | Special Episode (Mike Sullivan and Vinay Gidwaney)
Saison 2
mardi 25 août 2026 • Durée 01:23:34
In this special episode, we are joined by Mike Sullivan, Co-Founder and Chief Growth Officer at OneDigital, and Vinay Gidwaney, OneDigital's Chief Product Officer, to discuss their new book, Workforce Intelligence: The People-First Playbook for Leading Your Company Through AI Transformation. Together, they offer a practical, pro-human framework for navigating a future where artificial intelligence becomes deeply embedded in how organizations operate.
We explore why leaders should focus on tasks rather than headcount, how AI can amplify uniquely human capabilities, and why companies may need to rethink how they manage their workforce. Mike and Vinay explain their concepts of reducible and irreducible skills, AI coworkers, workforce intelligence, collaborative AI use, and the importance of building an organizational intelligence layer. They also share practical lessons from OneDigital's own AI transformation—including why leadership activation, trust, reskilling, and a partnership between technical and non-technical leaders are essential.
This conversation offers an alternative to the prevailing narrative of AI-driven job elimination. Instead, it asks a bigger question: if AI can take on more of the work we currently do, what might humans become capable of doing next?
Key Points From This Episode:
(0:00:00) Highlights.
(0:00:25) Introduction.
(0:01:23) Why AI adoption affects employers, employees, and financial markets—and why the conversation is relevant far beyond technology.
(0:02:27) Two possible paths for companies: replacing people with AI or using AI to amplify human capabilities.
(0:03:53) How PWL is already using AI to help financial planners and portfolio managers work more strategically and serve clients better.
(0:06:22) Mike and Vinay's five-year partnership around deploying AI inside OneDigital.
(0:12:06) The reversal effect: why past losers can outperform past winners when investors overreact.
(0:12:53) Underreaction to long‑term information, including research linking strong workplace cultures with better stock performance.
(0:14:57) Misreaction and anchoring: how purchase prices can lead investors to sell winners too early and hold losers too long.
(0:16:50) Value investing and valuation multiples, including why a company's price relative to its fundamentals matters even when it is widely admired.
(0:22:02) Limits to arbitrage: why investors can be right about a market bubble but still fail to profit from it.
(0:24:56) The importance of investment horizons, illustrated by Alex's own equity allocation and a fund designed around a 40‑year horizon.
(0:27:55) The illusory truth effect: how repeated information can feel new and move prices, as illustrated by the market reaction to EntreMed.
(0:33:43) Momentum investing: why recent winners may continue winning, and how momentum appears across industries, sectors, and countries.
(0:39:04) The law of one price and examples of identical or closely related assets trading at different prices, including 3Com and Palm.
(1:02:20) The three recurring principles: markets work, diversification matters, and costs matter.
Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)
(0:26:39) Combining value and momentum for higher Sharpe ratios.
(0:32:34) Long‑short direct indexing and how leverage increases tax‑loss harvesting.
(0:34:00) Why fees, complexity, and risk of direct indexing may not be worthwhile without alpha.
(0:43:21) The "crystal ball" experiment—advance information, poor sizing, and excessive leverage.
(0:49:28) The role of leverage in markets—ETFs, options, embedded leverage, and nonlinear instability.
(0:52:50) Why leverage can create nonlinear interactions and amplify market instability.
(0:52:55) When borrowing to invest can make sense, particularly for younger investors with substantial human capital and limited financial capital.
(0:55:00) Why borrowing costs, expected equity returns, risk, and the possibility of losing a large portion of savings make leverage a difficult decision.
(0:57:29) Why the risk-adjusted return from additional equity exposure matters more than the headline expected return.
(0:58:42) The relationship between human capital and leverage—and why human capital is not necessarily bond-like.
(1:00:01) Victor's advice to his younger self: be proactive, become financially literate, and make a lifetime financial plan.
(1:02:18) Why dedicating time to financial education can meaningfully change how people approach financial decisions.
Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)
(0:02:20) Why evidence matters: the gap between what people know and what they can prove in court.
(0:04:08) How investors can recognize poor advice—changes in communication, failure to address life circumstances, or lack of transparency.
(0:06:41) Importance of checking an advisor's regulatory history before entrusting significant assets.
(0:07:51) Investor vulnerabilities: age, education, language barriers, or sudden wealth.
(0:11:27) Steps after negligent advice—seek a second opinion, adjust the portfolio, and consider legal recourse quickly due to limitation periods.
(0:13:30) Risk capacity vs. risk tolerance, and overlooked risks such as liquidity, sequence-of-returns, and withdrawal risk.
(0:16:34) Advisors' uneven understanding of risk, shaped by firm/product-provider education and low industry entry barriers.
(0:19:48) Courts' five fiduciary factors—vulnerability, trust, reliance, discretion, and professional standards—and how fiduciary duties differ from suitability standards.
(0:28:28) Individual lawsuits vs. group/class actions, with securities class actions focusing on disclosure problems and asset-manager claims.
(0:42:45) Case studies: Sino-Forest fraud and challenges of private assets—opaque structures, layered fees, liquidity risk, and valuation issues.
(1:01:00) Regulatory challenges of finfluencers, difficulties in enforcement, and how advisors can inoculate clients against misinformation by teaching evaluation skills.
Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)
(0:12:05) The two-fish joke and the challenge of understanding the environment we are immersed in.
(0:12:45) How Jim Lorie and Lawrence Fisher helped provide the historical market data that transformed financial research.
(0:14:18) From early mutual fund research to the question that shaped David's career: What should investors do if managers cannot consistently outguess the market?
(0:20:59) Why Dimensional distinguishes between passive investing and indexing.
(0:23:21) The origins of Dimensional's approach to small-cap investing and the importance of execution.
(0:24:45) Why David would rather be an investor today than in 1971.
(0:26:21) Jensen's alpha, risk-adjusted returns, and what Michael Jensen's research revealed about professional money managers.
(0:28:30) Why implementation is everything—and why models are tools for making decisions under uncertainty.
(0:33:47) Why the most important thing about an investment philosophy is having one you can stick with.
(0:35:46) Why David sees education as an antidote to fear and wants investors to feel more optimistic about investing.
(0:36:18) Human ingenuity as the foundation of David's optimism about markets.
(0:37:53) Why trust is the ultimate product in the investment business.
(0:39:40) Why understanding the science alone is not enough—and how advisors can help investors stay invested.
(0:40:23) What David's art collection has taught him about non-monetary returns and true worth.
(0:43:07) Why a good financial plan is a process built around trade-offs, flexibility, and adaptation.
(0:45:22) The problem with fixed goals and why David thinks many goals are inherently fuzzy.
(0:46:34) How David distinguishes between forecasts, wishes, and worries.
(0:49:44) How investors can identify and tune out noise by focusing on how markets work over the long term.
(0:51:30) David's unfiltered perspective on private markets, transparency, price discovery, and liquidity.
(0:52:38) Why true wealth begins with values, family, and the things that matter beyond money.
(0:54:57) What winning means when wealth includes both monetary and non-monetary rewards.
(0:55:39) Why David describes optimism as science-based hope.
(0:57:33) What Stay Calm means to David: Make decisions aligned with your values, build a process, and trust that you can deal with whatever comes your way.
Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)
(0:09:07) The "radiating red dot": Why Mike's analysis suggested that up to 25% of OneDigital's workforce could be disrupted by AI.
(0:11:09) "See faces, not headcount": The decision to pursue transformation by amplifying people rather than simply reducing jobs.
(0:12:19) Why Mike and Vinay felt a responsibility to offer a more practical, human-first narrative about AI and work.
(0:13:40) Vinay's realization that widespread access to AI makes human differentiation even more important.
(0:17:22) Mike's first experience with an AI coworker—and the endless possibilities it unlocked for curiosity and exploration.
(0:18:22) Human intelligence versus artificial intelligence: Why AI's greatest value may be its ability to help people think differently.
(0:22:19) Why the future of work should be analyzed at the task level rather than through predictions about jobs disappearing.
(0:23:58) The coming reskilling challenge—and why the allocation of work between AI and humans needs to be more deliberate.
(0:25:12) Why Vinay believes companies that discard their human talent could lose their most important competitive differentiation.
(0:26:30) Why AI transformation should be viewed as a "movie, not a snapshot," with work continually being reshaped.
(0:28:10) What "workforce intelligence" means: Managing the combined intelligence of human talent and AI talent.
(0:30:07) Why Mike and Vinay believe HR—not just IT—must play a central role in leading the transition to a blended workforce.
(0:31:54) Reducible versus irreducible skills: Letting AI handle work that can be broken into processes while humans spend more time on judgment, experience, and other "squishy" capabilities.
(0:34:10) Applying the framework to financial planning: AI for modeling and information processing, humans for judgment, relationships, and helping clients navigate life decisions.
(0:37:00) How AI can reduce meeting preparation from hours to minutes while generating insights that would otherwise be missed.
(0:37:48) The importance of trust and communication as employees try to understand what AI means for their future.
(0:39:53) The Workforce Intelligence score: Treating AI as talent and measuring the evolving mix of human and AI work.
(0:42:09) Transactional versus collaborative AI use—and why collaboration can be more amplifying for both people and organizations.
(0:45:40) Why companies need agency over their AI systems and should think carefully about intelligence lock-in.
(0:48:47) Codifying organizational intelligence: Building systems where human expertise improves AI, which in turn helps humans become more capable.
(0:50:24) What it means to become "activated" by AI—and how using AI as a coach and teacher can expand human potential.
(0:52:44) Ambient AI: Systems that continuously observe information and surface patterns when human judgment is needed.
(0:54:11) The Charlotte-Denver redundancy and the challenge of making the best organizational intelligence available to everyone.
(0:57:26) OneDigital's five-tier fluency model for developing AI capabilities across employees, advanced users, managers, and builders.
(1:00:13) Why democratized software development creates a new governance challenge—and how AI may help manage it.
(1:00:54) Why OneDigital gives AI coworkers names, faces, profiles, skill sets, and human managers.
(1:04:01) Mike's belief in the dignity of work—and why employers need to approach the AI transition with humanity and care.
(1:06:53) Vinay's belief in human potential and why the goal should be to expand what people are capable of doing.
(1:08:56) Why organizations should avoid measuring AI success solely through cost cutting and instead consider human amplification.
(1:12:41) The four questions for Monday morning: Turning big ideas about AI transformation into practical actions leaders can take immediately.
(1:13:55) Why AI transformation needs leadership from the top and a partnership between someone who understands technology and someone who deeply understands the business.
(1:15:40) Leadership activation: Why organizations are unlikely to change until their leaders personally experience how AI can transform their own work.
(1:17:44) What we still don't know about AI—and why the guests believe we are still in the very early innings of this transformation.
(1:18:55) The three-minute-mile analogy: AI may optimize human minds in ways we cannot yet imagine.
(1:20:00) A final call for a pro-humanity, blended workforce—and the need to move faster in adapting to what AI makes possible.
Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)
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