Afford Anything Podcast Por Paula Pant | Cumulus Podcast Network capa

Afford Anything

Afford Anything

De: Paula Pant | Cumulus Podcast Network
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 You can afford anything, but not everything. We make daily decisions about how to spend money, time, energy, focus and attention – and ultimately, our life. How do we make smarter decisions? How do we think from first principles? On the surface, Afford Anything seems like a podcast about money and investing. But under the hood, this is a show about how to think critically, recognize our behavioral blind spots, and make smarter choices. We’re into the psychology of money, and we love metacognition: thinking about how to think. In some episodes, we interview world-class experts: professors, researchers, scientists, authors. In other episodes, we answer your questions, talking through decision-making frameworks and mental models. Want to learn more? Download our free book, Escape, at http://affordanything.com/escape. Hosted by Paula Pant.2024 Afford Anything LLC Economia Finanças Pessoais Gestão e Liderança
Episódios
  • Why AI Misleads Investors and How to Fix It

    Why AI Misleads Investors and How to Fix It
    Nov 25 2025
    #663: We’re living through the first era in which an investor can ask a machine to read a decade of SEC filings in seconds. That sounds powerful, but also a little terrifying. Can we trust it? And how do we use it without falling for hallucinations or built-in optimism? In this episode, we dig into the practical, real-world ways AI can strengthen our investing process while avoiding its biggest pitfalls. If you’ve ever wondered how to blend old-school fundamentals with new-school tools, this conversation will open up an entirely new mental model. Our guest is Brian Feroldi, an investor who has spent more than twenty years doing classic, deep-dive fundamental research. He reads SEC filings for fun, and he’s embraced AI not as a stock picker, but as a force multiplier that can turn days of research into minutes. We talk about the specific guardrails that make AI useful for fundamental investors, including restricting sources to trusted filings, designing step-by-step instructions, and assigning the AI a role so it knows how to “think.” We also explore how to stress-test optimism bias, how to analyze companies like a forensic accountant or a short seller, and how to build prompts that match your own investing personality. Whether you’re an index-fund loyalist with a little “fun money” or a hands-on analyst, this conversation will expand the way you evaluate businesses and make decisions. Key Takeaways How a single prompt can transform AI from a loose generalist into a sharp, reliable research assistant.
 The surprising way optimism bias shows up in AI tools, and how to flip it to your advantage.
 Why limiting your data sources can make your analysis dramatically stronger.
 The role-play trick that helps you see a company the way a short seller, value investor, or even Warren Buffett might.
 A simple reframing that turns AI from a stock picker into something far more powerful for decision-making.
 The moment in the demo that revealed a blind spot even seasoned investors often miss. Resources and Links Get Brian’s free business-analysis prompt at longtermmindset.co/ai Check out Brian’s YouTube channel: Long-Term Mindset @BrianFeroldiYT Chapters Note: Timestamps are approximate and may vary greatly across listening platforms due to dynamically inserted ads. (03:02) Pros and cons of using AI for stock research
 (4:55) Why Brian invests heavily in individual stocks 
(12:52) Guardrails for reducing AI hallucinations
 (17:22) How to write step-by-step prompts 
(24:02) Using roles to shape AI’s output
 (35:57) Running Brian’s prompt on Kava
 (46:22) Understanding pricing power and recession behavior
 (01:00:02) Evaluating management teams
 (01:06:02) Using AI to reflect your investing personality Learn more about your ad choices. Visit podcastchoices.com/adchoices
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    1 hora e 8 minutos
  • What If Everything We Know About Hiring Is Wrong?, with William Vanderbloemen

    What If Everything We Know About Hiring Is Wrong?, with William Vanderbloemen
    Nov 21 2025
    #662: Most teams hire for skills. The best teams hire for wiring. What if the reason someone accelerates your organization, or quietly derails it, has more to do with their response time, processing style, or sense of mission than their résumé? This episode dives into the hidden patterns that shape how people work, make decisions, and handle pressure; the clues we often overlook, and the tiny tells that reveal who will thrive. We’re joined by William Vanderbloemen, whose firm has completed nearly 4,000 executive searches. After reviewing years of candidate data, he discovered why some people create momentum everywhere they go and others struggle, even when they look perfect on paper. We explore what “fast thinkers” and “slow thinkers” bring to a team, how to spot agility before you hire someone, and why some workers need a mission while others need a measurable win. Along the way, we reflect on our own tendencies and how understanding them can change the way we build teams, manage energy, and make long-term decisions. Key Takeaways Response speed can signal mental wiring, not politeness, which makes it a powerful hiring clue. The real interview starts long before the formal meeting, which means every informal interaction counts. Agility shows up when plans change, so micro-tests can reveal how someone handles shifting conditions. Many high performers are driven either by purpose or measurable progress, and knowing which matters. Understanding our own lane helps us hire better, delegate better, and build systems that reduce friction. Resources and Links Simon Sinek, Start With Why https://www.youtube.com/watch?v=u4ZoJKF_VuA Vanderbloemen Group https://vanderbloemengroup.com/ Be the Unicorn by William Vanderbloemen https://www.amazon.com/Be-Unicorn-Data-Driven-Separate-Leaders/dp/1400247101 Chapters Note: Timestamps are approximate and may vary greatly across listening platforms due to dynamically inserted ads. (00:00) What thousands of executive searches revealed (10:35) The nine markers of high performers (22:01) Fast thinkers, slow thinkers, and finding your lane (25:35) Why response time predicts performance (25:48) Testing agility in real-world scenarios (47:16) Why purpose matters more to younger workers (55:13) Why curiosity is a career superpower Share this episode with a friend, colleagues, your veterinarian: https://affordanything.com/episode662 Learn more about your ad choices. Visit podcastchoices.com/adchoices
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    1 hora e 20 minutos
  • Q&A: She's Broke. He's Rich. And You're Asking About AI Stocks.

    Q&A: She's Broke. He's Rich. And You're Asking About AI Stocks.
    Nov 18 2025
    #661: When your income drops, debt spikes, and a rental property starts bleeding cash, it can feel like your entire financial foundation is cracking beneath you. Veronica, our first caller, is navigating all of it at once, from a near-foreclosure to a luxury car payment that’s strangling her budget. Her question is simple but enormous, how do you rebuild when you’re overwhelmed and out of margin? Once we work through her path forward, we shift to a listener on the opposite end of the spectrum. Daniel has maxed his Roth IRA, HSA, 401(k), and 457, and now sits on growing surplus cash. We talk about where extra money belongs when you’re aiming for early retirement and wondering whether to invest, save, or crush a low-interest mortgage. And to close, we take on a question dominating every financial feed right now, what if AI stocks really are in a bubble? We break down what it means to short the market, whether put options are actually a “safe” bet, and how to position a portfolio if you’re worried about tech valuations. Listener Questions in This Episode Veronica asks (02:06): How do I dig out of debt, repair my credit, and stabilize my rental after nearly going into foreclosure. Daniel asks (28:17): What should I do with my surplus side hustle cash when I already max tax-advantaged accounts and have a 3.5 percent rental mortgage. Scarlet asks (49:20): If AI stocks are in a bubble like the dot-com era, is there any relatively safe way to profit from a crash, such as put options. Key Takeaways Why tackling the right problem first can change the entire trajectory of a debt recovery plan. How downsizing one major expense can unlock breathing room you didn’t realize you had. The surprising factor that often matters more than interest rates when choosing between investing and debt payoff. Why flexible money becomes essential when planning for early retirement. What most people misunderstand about betting against a bubble, especially in fast-moving tech sectors. The simple portfolio shift that can help calm bubble anxiety without trying to time the market. Resources and Links GreenPath Financial Wellness – nonprofit credit counseling and debt management support for people overwhelmed by payments and afraid of bad actors in the debt relief world. Our course: Your Next Raise – a deep dive on how to negotiate a higher salary at work, with a special comp offered in this episode. Paul Merriman Four-Fund Portfolio – the simple, diversified investing framework Daniel uses inside his retirement accounts. The Big Short movie Michael Lewis and the film adaptation. 1929 book by Andrew Ross Sorkin – a historical look at bubbles and crashes. Chapters Note: Timestamps are approximate and may vary greatly across listening platforms due to dynamically inserted ads. (0:00) Veronica’s debt crisis and rental challenges (16:46) Cutting car costs and rebuilding cash flow (22:28) Debt relief programs and avoiding bad actors (28:17) Daniel’s surplus cash and retirement strategy (37:52) Brokerage vs mortgage payoff discussion (49:20) Can you profit from an AI bubble burst (1:00:40) Why shorting and puts rarely pay off (1:08:18) Safer ways to position your portfolio Got a question: Call it in: https://affordanything.com/voicemail Share this episode with a friend, colleagues, your veterinarian: https://affordanything.com/episode661 Learn more about your ad choices. Visit podcastchoices.com/adchoices
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    1 hora e 20 minutos
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