Page de couverture de Best In Wealth Podcast

Best In Wealth Podcast

Best In Wealth Podcast

Auteur(s): Scott Wellens
Écouter gratuitement

À propos de cet audio

This is the best in Wealth podcast – A show for successful family stewards who want real answers about Retirement and investing so we can feel secure about our family’s future. Scott's mission is simple: to help other family stewards build and maintain their family fortress. A family steward is someone that feels family is the most important thing. You go to your job every day for your family. You watch over your family, you make sacrifices for your family, you protect your family. I work with family stewards because I am one; I have become an expert in the unique wealth challenges family stewards face. Scott Wellens is the founder of Fortress Planning Group - an independent, fee-only, registered investment advisory firm. Fortress Planning Group is dedicated to coaching clients toward a holistic view of wealth and family stewardship. Scott is a certified financial planner, a fiduciary and has been quoted in the industry’s leading websites including Forbes, Business Insider and Yahoo Finance. Scott is also a Dave Ramsey Smartvestor Pro in the greater Milwaukee and Madison areas.Copyright 2026 Scott Wellens Finances personnelles Relations Économie Éducation des enfants
Épisodes
  • How Data, Discipline, and Human Ingenuity Shape Long-Term Wealth, Ep #267
    Mar 13 2026
    In a world where gut instinct once ruled the day—from football coaches making pivotal fourth-down decisions to investors choosing their next stock pick—a revolution has reshaped the landscape: reliable data and analytics. Drawing inspiration from the principles behind the film Moneyball and a recent article by David Booth on 3 Lessons from Investing’s Moneyball Moment in Fortune magazine, I break down what a century of US stock market history reveals for everyday investors. Lesson 1. Insiders Aren’t Smarter Than Outsiders One of the key insights unearthed from this century’s worth of data is simple but profound: experts, or “insiders,” don’t consistently outperform the market. Early research using the University of Chicago’s Center for Research on Security Prices (CRSP) data found that, on average, mutual funds and clever stock pickers failed to beat the simple strategy of buying and holding a diversified market portfolio. This led to the explosion of index funds, notably pioneered by Vanguard and enabled by firms like Dimensional. Now, anyone, not just Wall Street professionals, can own broad, low-cost portfolios and harness the long-term growth of the entire market rather than trying (and in most cases, failing) to outsmart it. Lesson 2. Bet on Human Ingenuity Human creativity and progress power the market’s reliable returns over the decades. Companies go public to raise money, which they funnel into improving their products and expanding their reach. Every day, millions of people at thousands of companies are seeking better ways to serve their customers and grow profits. When you invest in the stock market, you’re ultimately betting on people’s ability to innovate and adapt to a changing world. This century-long experiment in collective growth has consistently delivered average returns of around 10% per year, a number that’s survived wars, recessions, inflation spikes, and bubbles. Lesson 3. Investor Behavior Is Key If reams of data tell us anything, it’s this: reliable, long-term returns belong to disciplined investors. The journey is never smooth—market downturns feel chaotic and alarming in the moment. Yet, $1,000 invested in 1926 would have grown to over $17 million by 2025, despite wars, crashes, and global crises. Most investors who stuck with the market over any 10- or 20-year span came out ahead. Stay disciplined, trust the data, and know that while the challenges may look different, the power of long-term, patient investing is timeless. Outline of This Episode [00:00] 100 years of market insights[03:14] Football transformed by data analytics[07:32] Moneyball, markets, and data[11:06] Insiders vs. outsiders on stocks[16:17] Human ingenuity in investing[17:26] Investing discipline drives long-term success Resources Mentioned Moneyball Synopsis 3 lessons from investing’s moneyball moment in Fortune University of Chicago’s Center for Research on Security Prices (CRSP) Connect With Scott Wellens Schedule a discovery call with ScottSend a message to ScottVisit Fortress Planning GroupConnect with Scott on LinkedInFollow Scott on TwitterFortress Planning Group on Facebook Subscribe to Best In Wealth Audio Production and Show Notes by PODCAST FAST TRACK https://www.podcastfasttrack.com Podcast Disclaimer: The Best In Wealth Podcast is hosted by Scott Wellens. Scott Wellens is the principal at Fortress Planning Group. Fortress Planning Group is a registered investment advisory firm regulated by the US Securities and Exchange Commission in accordance and compliance with securities laws and regulations. Fortress Planning Group does not render or offer to render personalized investment or tax advice through the Best In Wealth Podcast. The information provided is for informational purposes only and does not constitute financial, tax, investment or legal advice.
    Voir plus Voir moins
    23 min
  • Are We in an AI Bubble? And What That Means for Investors, Ep #266
    Feb 13 2026
    Investors have short memories—until the talk of a “bubble” resurfaces. We take investors on a quick trip down memory lane, discussing the infamous dot-com bubble of the late ‘90s and early 2000s, as well as the housing bubbled that appeared a few years later. These bubbles were fueled by sky-high optimism and wild speculation about transformative technologies. In the dot-com era, investors rushed into any company with a “.com” at the end of its name, confident the internet would change the world. But not all of these companies survived. The lesson is that when a game-changing technology, or a new technology appears, you still have to do your due diligence to come out on top. [bctt tweet="AI stocks are the new #investing gold rush…but are you panning for gold or about to hit a bust? I break down the REAL risks of betting big on #tech giants—and why most #investors miss what matters in a bubble" username="wellensscott"] The Age of AI: Bubble or Breakthrough? The “Magnificent Seven” (Google, Meta/Facebook, Apple, Amazon, Nvidia, Tesla, and Microsoft) are pouring billions into AI. Their 2025 returns, as catalogued by Scott Wellens, were impressive, with the group averaging over 20%, outperforming the S&P 500. Yet, such meteoric rises echo the euphoria of past bubbles. But excitement alone does not make a bubble—overvaluation does. Valuation: How Expensive is Too Expensive? A key measure is the price-to-earnings (P/E) ratio, a classic way to judge if a company’s stock price is justified by its profits. Take Tesla, for example: at the end of 2025, it traded at roughly $450 per share but earned only $1.50 per share, putting its P/E near 304. Compared to Toyota’s P/E of about 10, that is nosebleed territory. The S&P 500’s long-term average P/E sits around 20—a point of reference emphasizing just how stretched AI-heavy stocks may be. The Magnificent Seven’s average P/E now hovers around 68, more than triple the broader market’s historic average and well above the S&P’s “other 493” companies. While high valuations do not guarantee a crash, they signal that expectations are sky-high and that disappointment could be costly. Picking Winners, Dodging Losers You cannot invest in AI itself; you invest in companies riding the AI wave. History shows many will not make it. That is why betting everything on a few horses is extremely risky, even if their role in AI seems promising today. Over-concentration lurks as a hidden threat. If you own a standard S&P 500 index fund, 35% of your portfolio sits in the Magnificent Seven. For tech-heavy indices like the Nasdaq, that figure climbs to 54%. A stumble for these stars—already started in early 2025—can spell big trouble for portfolios tied too closely to their fortunes. [bctt tweet="No one has a crystal ball for the next #AI bubble—but family stewards can stack the odds. I reveal three ways to build #wealth using AI safely—and why a diversified #portfolio is your family’s best hope for lasting wealth" username="wellensscott"] The Case for Global Diversification So how can investors harness AI’s upside without exposing themselves to catastrophic risk? In a portfolio spanning thousands of companies worldwide across different sectors and asset classes, your exposure to the Magnificent Seven (and thus to AI) drops to about 20%. This cushions your wealth from the fallout if today’s leaders falter and gives you a stake in the next wave of winners, wherever they arise.
    Voir plus Voir moins
    23 min
  • Why Artificial Intelligence Can’t Replace Human Wisdom with Your Finances, Ep #265
    Jan 16 2026
    AI is everywhere, from investing apps and portfolio tools to recipe planners and vacation organizers, artificial intelligence touches countless corners of our lives. In finance, AI promises accessibility. For newer investors, it is a way to learn basic concepts, compare traditional and Roth IRAs, or understand the difference between tax brackets, all delivered in plain English. AI is also a huge help with organization and financial efficiency. Need a budgeting framework or quick ways to categorize cash flow? AI can create those. It is a handy pocket assistant that helps you plan and ask sharper questions when evaluating financial advisors or planning your future. The Real Limitations of AI in Financial Planning While AI is a powerful tool, it is not a decision maker. Here are the big dangers and drawbacks you need to keep in mind: 1. Zero Personal Accountability AI does not bear the consequences of its advice. If it suggests an irreversible move, like a Roth IRA conversion, based on incomplete or incorrect information, the cost falls entirely on you. 2. Overconfidence in Precision AI delivers advice with absolute confidence, even when it is wrong! Financial planning is not just numbers, it is trade-offs, nuances, and judgment calls that factor in health, family dynamics, and personal emotional risk tolerance. 3. Struggles with Multi-Year Tax Planning Most AI tools treat tax decisions generically just one year at a time. But real retirement tax planning means looking ahead 10, 15, or 20 years. Missed integration here can cost you tens, or even hundreds, of thousands of dollars over a career or lifetime. 4. One-Dimensional Investment Advice AI assumes perfect discipline and zero life changes, no panic selling, no sudden need for funds. But human emotion, especially during retirement or volatile markets, often drives decisions. 5. False Sense of Security AI’s confident answers may mask underlying complexity. A small financial misstep, repeated or compounded over decades, can grow into a massive problem down the road. 6. Lack of Behavioral Guardrails Emotions play a huge role in retirement and investment decisions. Life throws curveballs—loss, illness, market downturns, and AI cannot reframe your fears or keep you disciplined when things get tough. When Human Wisdom Matters Most Retirement planning is not about finding simple answers, information is cheap, wisdom is not. For complex questions, AI offers basic options, but it cannot weigh the sequence of return risk, or policy changes in real time, like a qualified advisor can. Human advisors coordinate, prioritize, and apply experience to your financial life. They support you through market cycles, health challenges, and family transitions, and recognize when purely rational advice does not capture your real needs. Using AI Wisely My advice is to use AI for learning and organization, not for important, irreversible lifestyle and tax decisions. Always double-check its work, and do not outsource your financial future entirely to algorithms. Technology plus human judgment delivers the best outcomes. AI is a powerful tool, not a complete solution. Outline of This Episode
    • 02:24 Best in Wealth Podcast future plans.
    • 03:57...
    Voir plus Voir moins
    27 min
Pas encore de commentaire