Money For the Rest of Us – Episode Summary

Episode: A MFTROU Update, Cognitive Offloading Versus Cognitive Surrender, and Live Portfolio Cohorts
Host: J. David Stein
Air Date: April 1, 2026

Overview

In this update episode, host J. David Stein shares what’s new for the Money For the Rest of Us community, explains how artificial intelligence is impacting content creation and personal productivity, and previews his upcoming hands-on live portfolio cohort program. The episode is reflective and practical, emphasizing discernment in leveraging AI as a productivity tool, and describes the goals and structure of working directly with investors on portfolio construction and management.

Key Discussion Points and Insights

1. Industry and Business Updates

Podcast and Content Rhythm: David is taking a week off regular episodes, working on his next book, and preparing for live portfolio cohorts.
Content Saturation and Selectivity: Notes a significant increase in published books (+33% in the past year; mostly self-published with AI assistance) and new iOS app releases (+24%), highlighting the “drowning in new content” phenomenon.
- “Given that volume, I want to be more selective in what I release. I’m focused on depth and meaning, not quantity.” (01:20)
Adapting Output: Emphasizes a shift towards fewer podcast episodes and more long-form content.

2. AI Adoption: Offloading vs. Surrender

Cognitive Offloading Defined: Using AI for specific tasks to supplement human expertise, but retaining decision-making.
Cognitive Surrender Caution: Warns against oversharing data and “outsourcing” core thinking or personal judgment to AI.
- Reference to Ezra Klein’s NYT piece on tech workers “sharing everything they can” with AI to train it, sometimes letting it “be them or act for them.” (03:10)
- “I would consider it oversharing. I’m way more selective in what I share with AI.” (04:00)
Personal AI Use Cases:
- Portfolio evaluation and risk/return analysis spreadsheets (using Claude’s CoWork).
- Expanding asset class coverage and risk statistics in member resources.
- Uploading brokerage statements and automating categorization.
- Running Monte Carlo simulations for forward-looking portfolio values.
- “AI has significantly increased my productivity…” (07:38)

3. Maintaining Expertise and Oversight

Judgment Still Critical: Despite using AI, David insists on controlling key inputs (like expected returns), interpreting outputs, and verifying accuracy.
- “I still need to use my judgment and part of that’s seeing where AI might be making a mistake, which it can do.” (08:30)
AI as an Amplifier, Not a Replacement: Sees AI as a tool that enhances his value to the community rather than replacing his expertise.

4. Live Portfolio Cohorts Announcement

First in 12 Years: Launching a real-time, interactive portfolio-building workshop with 25 investors starting May 5th, focused on those retiring within 10 years.
- “This isn’t a course where I’m just sitting and lecturing…most of it will be showing individuals how to use the tools, how to apply them, and how to make that decision framework.” (09:50)
- Step-by-step process includes classification, asset categorization, risk analysis, scenario planning with Monte Carlo tools, rebalancing, and asset location.
- “I’m not providing specific investment advice, but I’m willing to answer any question. I just won’t tell you what to do.” (11:25)
Cohort Details:
- Limited to 25 participants; “not a lecture”; hands-on application and Q&A.
- Waitlist members get early enrollment, $200 discount, and an intro email series.
- Future cohorts planned for retirees in fall 2026.
- More info and sign-up: moneyfortherestofus.com/cohort

Notable Quotes & Memorable Moments

“We are drowning in new content—video shorts, social media, and even longer content such as self-published books… I want to be more selective in what I release.” (01:10)
“Most of us are using AI either regularly or we’re experimenting with it—navigating brand new terrain… One of those boundaries is to what extent do we cognitively offload to AI or surrender to it.” (02:45)
“I use AI as a tool. I’m still in control of the inputs, especially when it comes to expected returns.” (07:38)
“Combining AI with my knowledge, experience, guidance and judgment will, I believe, make these portfolio workshops more helpful.” (08:50)
“I want this cohort to be hands-on and engaging, a place to actually work through your portfolio, use the tools, ask questions, and get support as you make decisions.” (10:15)

Important Segments & Timestamps

Content glut, AI’s role, and selective publishing – [00:55–02:10]
Cognitive offloading vs. cognitive surrender, AI and boundaries – [02:45–05:00]
AI use cases in portfolio tools; risk and return analysis – [05:05–08:00]
AI’s productivity boost and importance of human oversight – [07:38–08:30]
Live Portfolio Cohorts: approach, mindset, and mechanics – [09:50–12:30]

Tone & Voice

David’s style remains practical, transparent, and encouraging, blending skepticism about content overload and tech “hype” with optimism for how carefully-used AI can enhance financial decision-making.

Summary Takeaways

Be selective in what content you create and consume—focus on depth.
Use AI as a productivity booster, but maintain personal oversight and skepticism.
Cognitive offloading is smart; cognitive surrender is risky.
Live portfolio workshops are coming—a high-engagement opportunity for those nearing retirement.
Ongoing evolution: fewer, deeper public episodes, more hands-on learning for members.

Transcript

A (0:00)

Hi, this is David. We don't have a regular podcast episode this week as I take some time off and I'm also working on my next book and preparing for the live portfolio cohorts we'll be hosting next month. I recently shared my thoughts on the podcast and in our Insider's Guide newsletter about how AI is affecting me and our business. For example, in the past year the number of newly published books increased by 33% more, most of which were self published with heavy assistance from AI. At least that's what I presume. That compares to a 2% decline in the number of books published in 2024. Another statistic, the number of new iOS apps is up 24% in the past year, compared to 6% increase in the year prior. The reality is we are drowning in new content, video shorts, social media, and even longer content such as self published books. Now, given that volume, I want to be more selective in what I release. I'm focused on depth and meaning, not quantity. And that's why we're doing fewer podcast episodes this year and I'm doing more longer form content. Most of us are using AI either regularly or we're experimenting with it. We're navigating brand new terrain and one of those boundaries we're trying to decide on is to what extent do we cognitively offload to AI or surrender to it. Ezra Klein recently wrote about this in the New York Times. Many individuals and he found as he went to San Francisco, they're sharing everything they can about themselves with AI so that the tools become more effective in helping them, being like them, even acting for them in many cases. And they also he mentioned they're doing it to sort of kind of train the next generation of AI. I would consider it oversharing. I'm way more selective in what I share with AI, but I have been using it a lot, especially this week in preparing for these live portfolio cohorts. Here's some examples. When I'm using Claude's cowork, which is run on the desktop, when you evaluate a portfolio, you're analyzing it, you're trying to one of the things you need to do is determine the expected return and the risk. And we have had an asset allocation categorization spreadsheet where you put in dollar amounts and and it spits out the expected return, the range of return and the risk. We've had that as part of PLUS membership for years, but I wanted to enhance it for PLUS members, but also for these portfolio workshops to add some additional asset classes such as non US small cap stocks manage futures like we talked about in the podcast a few weeks ago. And also add more risk statistics including volatility which is calculated at the portfolio level considering correlation. You know, just like modern portfolio theory and I it's not something we had incorporated because we focused on the maximum drawdown, but we have some additional risk statistics and I use Claude Cowork to expand those spreadsheets. It's very good at working with spreadsheets, not not perfect, don't make mistakes, but it certainly saved me time. I've also used Claus or experimented with it this week is to upload a brokerage statement and then it could categorize those holdings using that asset mix template or that categorization spreadsheet. It it was pre darn accurate. Now once we have a portfolio level, expected return, a range of returns, a volatility assumption as measured by standard deviation, it's helpful to do a Monte Carlo simulation to estimate the range of expected portfolio values such as like 10 years ahead, what is the portfolio value based on running a scenario returns with a certain level of savings each year. And I've worked with Claude to develop those AI prompts. So now any LLM can run the analysis and they and it does it using Python. These are examples of cognitive offloading. While I use AI as a tool, I'm still in control of the inputs, especially when it comes to expected returns. We put a lot of time into those assumptions based on the underlying drivers of return. So I control the inputs, but I also understand the outputs, such as this money Carlo simulation. I still need to use my judgment and part of that's seeing where, you know, AI might be making a mistake, which it can do. Still, AI has significantly increased my productivity and combining AI with my knowledge, experience, guidance and judgment will, I believe, make these portfolio workshops more helpful. So let me take a moment just to share what we plan to do with this live portfolio cohort. As I mentioned, this is the first time in 12 years that I'll be working with a small group of investors in real time, walking them through the process of building and rebalancing their investment portfolios. So this isn't a course where I'm just sitting and lecturing. I mean, there'll be some discussion or some formal presentation, but most of it will be showing individuals how to use the tools, how to apply them, and how to make that decision framework to figure out whether their portfolio in its current state is sufficient to fund the retirement as they look out 10 years doing some of that classification categorization Monte Carlo work and then deciding, well, what changes might need to be made in terms of rebalancing. Where are there opportunities? Where are there risks? How can it be simplified? What about asset location? We're going through all the steps in real time and I'm there as a help. I'm not providing specific investment advice, but I'm willing to answer any question. I just I won't tell you what to do, but I'm very comfortable explaining holdings, how things work, how to approach things, and try to be a resource there to help you as you make the final decision. Now, this cohort starts May 5th. It will be limited to only 25 investors, and we're focusing on individuals that are planning on retiring in the next 10 years. Later this fall, we hope to do a portfolio cohort for those that are retired. We're still working on the final pieces, but you can be the first to learn more about joining the waitlist@moneyfortherestofus.com cohort C O H O R T if you join the waitlist, you'll get early access to enrollment, $200 off the final price, and we're sending an introductory email series to kind of help you with some of these portfolio building challenges, but also get your feedback on how we can structure this live portfolio cohort to be of the greatest help. So you can check that out at Money for the rest of us.com cohort C O H O R T I'll be back in two weeks with a regular podcast episode. Next week I'm focused on drafting our monthly investment strategy report for PLUS members. It's going to be a doozy of a report given everything that's going on with oil, the energy markets and financial markets overall. Have a great week. Be back here in two weeks.