In this episode of Creating Confidence with Heather Monahan, Harvard economist Daniel Altman shares practical strategies for applying economic principles to everyday financial decisions and time management. Altman explains how calculating the dollar value of your time can help you make smarter choices about outsourcing tasks, optimizing shopping habits, and navigating major purchases like vehicles. He also addresses common cognitive traps like the sunk cost fallacy and analysis paralysis that prevent people from making confident decisions.
Beyond personal finance, Altman and Monahan explore career transitions, emphasizing the importance of gradual moves and continuous education—particularly in emerging areas like AI. The conversation also covers current economic pressures from rising interest rates and government debt, strategies for long-term investing, and the importance of prioritizing work-life balance. Throughout, Altman provides frameworks for making decisions that serve both present needs and future well-being.

Sign up for Shortform to access the whole episode summary along with additional materials like counterarguments and context.
Daniel Altman emphasizes that applying economic principles to everyday financial decisions helps individuals make smarter choices with their money and time. He argues that understanding the economic value of time and recognizing asymmetries in financial transactions can lead to more fulfilling decisions.
Altman stresses the importance of knowing your hourly value to avoid wasting time on low-value tasks. He explains that evaluating time in dollar terms clarifies when it's not worthwhile to spend hours disputing minor charges or handling activities others can do for less. For example, if your time is worth $50 an hour but dry cleaning costs $5, outsourcing makes sense. Altman offers an online quiz at his website to help calculate personal time value, noting that this figure can fluctuate depending on alternatives like leisure or productivity.
Supermarket trips present opportunities to apply economic thinking. Altman advises shopping during delivery days when produce is freshest and during off-peak hours for faster checkout. He notes that saving thirty minutes weekly adds up to about twenty-five hours annually—effectively gaining a full day back. When considering grocery delivery services, Altman explains the importance of weighing convenience fees against your time's value, though this varies by individual circumstances.
Altman explores the economics of vehicle ownership as the market shifts toward usage-based alternatives like self-driving rideshares. Traditional car ownership carries high costs due to cars sitting idle, but self-driving fleets operating constantly could bring ride prices down dramatically. He suggests reconsidering major purchases by comparing long-term ownership obligations against rapidly evolving technologies, recommending that buyers prioritize liquidity and personal flexibility over trying to predict future market trends.
Financial negotiations often involve asymmetric information, where sellers have better price knowledge than buyers. Altman identifies the challenge of discerning fair prices and points out the risk of misaligned incentives with brokers or intermediaries. As a negotiation strategy, he suggests offering slightly less than the agreed price can reveal room for further negotiation. Altman concludes that viewing financial choices through an economic lens—valuing time, optimizing habits, and negotiating with awareness of information gaps—helps individuals make more confident decisions.
Heather Monahan and Daniel Altman discuss how cognitive traps like the sunk cost fallacy and analysis paralysis hinder timely decisions, and they explore practical frameworks for moving forward with more confidence.
Daniel Altman explains that the sunk cost fallacy occurs when individuals struggle to abandon projects or investments simply because they've already devoted significant resources to them. He stresses that sunk costs are in the past and cannot be recovered, so decisions should focus on future outcomes rather than emotional attachments to what's been lost. Altman offers a strategy: retaining a small stake in an old investment can help mitigate regret if things improve later, allowing people to move forward toward better opportunities while satisfying the emotional need for closure.
Altman describes analysis paralysis, where too many options or the pursuit of perfection freezes action. He recounts a friend who spent years perfecting smartphone games rather than releasing simpler products, warning against letting perfectionism override good-enough decisions. To overcome endless comparison, Altman suggests a decision-making framework: learn from the market early on, then commit to the next option that's better than everything previously seen. This structured approach ensures that waiting for perfection doesn't lead to missed opportunities. He stresses that using frameworks like sunk cost awareness and basic risk minimization allows decisions to happen promptly, giving individuals a chance to adjust later instead of remaining paralyzed.
Daniel Altman and Heather Monahan discuss the realities of career transitions, emphasizing the importance of gradual change, continuous education, and investment in emerging skills like AI.
Altman explains that career changes rarely occur in a single step and usually require a series of adjacent moves. He shares how he transitioned across fields like journalism and sports by applying his core expertise in new contexts. He advises those wishing to shift industries to seek roles that bridge the gap—for example, moving from finance to sports through sports club financing, then commercial operations, and finally sporting operations. Each move builds credibility and relevant experience, inching closer to the target role.
Altman believes people frequently underinvest in their education, often assuming formal schooling is sufficient. He suggests regularly exploring interests by auditing courses at community colleges, connecting with research institutes, or engaging in quick internships. He cautions against the belief that education ends with college, underscoring the value of ongoing learning to ensure continued growth and adaptability in a changing job market.
Heather Monahan shares her commitment to investing in AI courses to understand their application to her business. Altman strongly recommends viewing AI as a tool for enhancement rather than a threat, likening AI adoption to past shifts like the widespread use of mobile phones or the internet. He predicts that AI proficiency will soon be fundamental for all professionals, advising that early adoption ensures readiness for the future of work.
Current economic conditions are being shaped by heavy borrowing from governments and corporations, driven largely by the need to expand AI infrastructure and data centers. This surge in borrowing is pushing interest rates to their highest levels in two decades.
Seven major economies now bear especially large debt burdens, spurred by costly expansion of AI infrastructure. As companies and countries pursue long-term investments with uncertain returns, credit markets are forced to offer higher interest rates to attract lenders. The increase in interest rates means higher costs for everyone—more expensive mortgages, credit card payments, and business loans.
Governments facing higher interest payments must reduce spending on services and stimulus. Companies may raise prices to offset higher borrowing costs, increasing inflationary pressure on consumer purchasing power. If investments in AI infrastructure don't yield expected returns, the result could be declining stock prices or reduced dividends for shareholders.
Today's environment doesn't harbor the kind of hidden derivative risks seen in the 2008 financial crisis. Instead, it bears greater resemblance to debt sustainability issues, with debts growing for developed nations like the US, Japan, Italy, Spain, France, and the UK.
Timing economic cycles to buy and sell equities often leads to significant tax liabilities that can erode potential gains. For individuals anticipating major expenditures in the next one to two years, it's sensible to keep funds in safer, more liquid assets. For long-term investors planning for retirement, sticking to a consistent investment plan is generally superior to trying to ride out every market wave.
Daniel Altman and Heather Monahan discuss the growing importance of prioritizing well-being and work-life balance to achieve lasting success.
Altman describes Paul English, co-founder of Kayak, who openly rejects the Silicon Valley "hardcore" work culture. English believes that building wealth and maintaining a high quality of life are not mutually exclusive, prioritizing employees' well-being while building billion-dollar companies. This approach not only retains talented employees but reinforces company effectiveness.
Altman notes studies correlating employee workplace reviews with future stock performance. Economists use advanced statistical tools to show that higher employee happiness and satisfaction predict better future stock returns, outpacing companies with poor workplace cultures. This evidence demonstrates that employee well-being is a genuine driver of competitive advantage.
Altman shares the story of a star economist who initially accepted a job offer from another university but soon reversed his decision to stay at Harvard. The misstep arose because both he and his wife assumed the other preferred the move, when neither wanted to go. This example highlights the potential pitfalls of making decisions on behalf of a group without clearly communicating and understanding individual preferences.
Altman discusses how priorities and preferences change as people age. He argues that many people planning for retirement focus too narrowly on financial targets rather than overall well-being or life satisfaction. The relationship between money and well-being is not static: what feels sufficient at one life stage may shift dramatically later. To avoid regret, Altman recommends empathizing with one's future self, considering what the older version of oneself will likely value, and making decisions that serve both present and future well-being.
1-Page Summary
Daniel Altman emphasizes that applying economic principles provides a practical framework for everyday financial decisions, from shopping habits to major purchases. He argues that understanding the economic value of time, and acknowledging asymmetries in financial transactions, can empower individuals to make smarter, more fulfilling choices with their money and hours.
Altman stresses the importance of knowing your hourly value to avoid wasting time on low-value tasks. He explains that evaluating your time in dollar terms clarifies when it’s not worthwhile to spend hours disputing a minor charge or doing activities others can handle for less than the value you could generate in that period.
He gives the example of spending hours on hold to reclaim $10 or $20 from a company—if your time is worth more, it’s often best to simply move on. Similarly, if you’re engaged in a side hustle or freelance work, you can measure the money you’d earn in an hour and use that as your baseline. For activities not directly tied to income, like sleep, Altman recommends asking yourself how much you’d pay for an extra hour, which can help assign value to time spent on rest or leisure.
To make practical choices, Altman suggests using this framework to determine which tasks to outsource. If you could earn $50 an hour, but ironing shirts would cost you $5 at the dry cleaner, it clearly makes sense to delegate that task. The aim is to compare the time and money spent against the value received, freeing up hours for higher-value pursuits. Altman offers an online quiz at his website to help calculate personal time value, noting that this figure can fluctuate throughout the day depending on alternatives like leisure or productivity.
Supermarket trips present an opportunity to apply economic thinking. Altman advises shopping during delivery days—such as Wednesdays or Saturdays—when produce and meats are freshest, ensuring you can get everything you need in one trip. Shopping during off-peak hours also leads to faster checkout and less time spent in aisles.
He notes that saving even thirty minutes each week at the supermarket adds up to about twenty-five hours a year, effectively gaining a full day back. Avoiding spoiled products also saves around $250 annually, a meaningful sum amid rising costs.
When considering grocery delivery apps or services like Instacart, Altman explains the importance of weighing the convenience fee or hidden costs against your time’s value. If an app saves you significant time you could use for higher-value work or essential rest, the fees may be justified. However, this varies by individual circumstances and the actual value you derive from the saved time.
Altman explores the economics of vehicle ownership in an era shifting towards shared, usage-based alternatives such as self-driving rideshares. Traditional car ownership carries high costs due to cars sitting idle, but self-driving fleets operating constantly could bring ride prices down to a tenth of current levels.
He suggests reconsidering major purchases by comparing long-term obligations of ownership against rapidly evolving, cost-reducing technologies, like ubiquitous Waymo or Uber rides. For many peop ...
Optimizing Financial Decisions and Valuing Time Using Economic Principles
Heather Monahan and Daniel Altman discuss how common cognitive traps, like the sunk cost fallacy and analysis paralysis, hinder timely, rational decisions, and they explore practical frameworks for moving forward with less regret and more confidence.
Daniel Altman explains that the sunk cost fallacy is when individuals struggle to abandon a project, relationship, or investment simply because they have already devoted significant resources to it, even though those resources are now irretrievable. He stresses that sunk costs—money, time, or effort already spent—are in the past and cannot be recovered. Therefore, decisions should focus on future outcomes rather than emotional attachments to what has already been lost. Heather Monahan relates to this, admitting that holding onto sunk costs in jobs or relationships only deepened her difficulties, and embracing the idea of letting go helps pave the way for better decisions.
Altman acknowledges that regret over abandoned investments is real. He offers a strategy: retaining a small stake in an old project or investment, such as selling only part of a stock holding, can help mitigate regret if things improve later. By keeping a "toe in" the past investment, people can step forward toward better opportunities while still satisfying some emotional need for closure or for not missing out entirely.
Altman describes analysis paralysis, where an overabundance of options or the pursuit of “the perfect choice” freezes action. He recounts a friend who spent years perfecting smartphone games rather than releasing more, simpler products. The friend’s desire for perfection meant missed opportunities and prolonged effort with little reward. Altman warns against letting perfectionism override the value of good-enough decisions, emphasizing that steady progress and shipping workable products is more effective than endless refinement.
To overcome endless comparison, Altman references a decision-making framework from economics, specifically in the context of searching for a new home. Instead of looking endlessly for a perfect fit (one couple viewed 99 houses), he suggests learning from the market early on and then committing to the next option that’s better than everything previously seen. This structured “threshold” approach narrows choice and ensures that waiting for perfection doesn't lead to loss of ...
Overcoming Decision Paralysis and Cognitive Biases
Daniel Altman and Heather Monahan discuss the realities of career transitions, emphasizing the importance of gradual change, continuous education, and investment in emerging skills like AI to maintain professional relevance.
Altman explains that career changes rarely occur in a single step and usually require a series of adjacent moves. He shares personal experience, describing how even after earning a doctorate and having job offers to become a professor, he sought more impactful ways to use economic tools. This led him to transition across fields like journalism and sports by applying his core expertise in new contexts. He advises those wishing to shift industries–for example, moving from finance to sports–to seek roles that bridge the gap, such as working on sports club financing, moving into commercial operations, and finally to sporting operations. Each move builds credibility and relevant experience, inching closer to the target role while expanding networks within the desired industry. Altman emphasizes being patient and strategic, making connected moves instead of expecting drastic leaps.
Altman believes people frequently underinvest in their education and exposure to new industries, often assuming that formal schooling or standard on-the-job experiences are sufficient. He suggests regularly exploring interests by auditing courses at community colleges, connecting with local research institutes, or engaging in quick internships. For those looking to switch fields, he encourages taking opportunities to witness behind-the-scenes operations or trying out different roles, which expands understanding, uncovers new interests, and keeps skills applicable across industries.
He cautions against the belief that education ends with college, underscoring the value of ongoing learning long after formal schooling is complete. Altman encourages professionals to actively seek new experiences and skills through both formal and informal channels, ensuring continued growth and adaptability in a changing job market.
Career Shifts, Change Management, and Human Capital Investment
Current economic conditions are being shaped by heavy borrowing from both governments and corporations, driven largely by the need to expand AI infrastructure and data centers. This surge in borrowing is pushing interest rates to their highest levels in two decades, creating ripple effects across credit markets, budgets, and investment strategies worldwide.
A significant amount of borrowing is taking place globally, not only among governments but also within the corporate sector. Seven major economies are now bearing especially large debt burdens, spurred by the costly expansion of physical capital and AI infrastructure. As companies and countries pursue long-term investments with uncertain returns, credit markets are forced to offer higher interest rates to attract lenders. This has led to some of the highest interest rates seen in the last 20 years.
The enormous amount of debt taken on by these countries is largely funneling into AI and technology-related capital expenditures. The returns on these investments remain uncertain, which compounds the risk for lenders and raises the overall cost of borrowing.
The increase in interest rates means the cost of borrowing has gone up for everyone. This translates into more expensive mortgages, credit card payments, and business loans. The higher the rate, the higher the monthly obligations, and these costs are felt directly by consumers and businesses alike.
These rising interest payments will have lingering effects on financial planning for households, companies, and governments.
Governments facing higher interest payments on debt must reduce spending on other areas. This means slimmer budgets for services and less fiscal stimulus, with fewer funds filtering down to state and local levels.
With higher interest making debt more expensive, companies may raise prices on products and services to maintain profitability. This puts additional inflationary pressure on consumer purchasing power, as everyday goods become costlier.
If these significant investments in AI infrastructure do not yield expected returns, the result could be declining stock prices or reduced dividends for shareholders. The stakes are high for both investors and companies betting on rapid innovation.
Today’s environment, marked by elevated stock valuations, rising interest rates, and increased debt, does not harbor the kind of hidden derivative risks seen in the 2008 financial crisis. Instead, it bears greater resemblance to the debt sustainability issues that have troubled some European countries.
Unlike 2008, there is no hidden derivatives bomb threatening to destabilize the financial system. However, market pressure is significant, focused on stock prices, elevated interest rates, and large ...
Understanding Current Economic Pressures and Credit Market Challenges
Daniel Altman and Heather Monahan discuss the growing importance of prioritizing well-being and work-life balance to achieve lasting success, drawing on examples from business, research, and personal decision-making.
Daniel Altman describes Paul English, co-founder of Kayak, who operates from Boston and openly rejects the Silicon Valley "hardcore" or "nine nine six" work culture—working from 9 a.m. to 9 p.m., six days a week—popularized in China and embraced in some American tech circles. Paul English believes that building wealth and maintaining a high quality of life are not mutually exclusive. He prioritizes his employees’ well-being and paychecks, aiming to get the most out of his employees by supporting both their professional success and happiness. English's approach defies the notion that extreme work hours are necessary for success; the achievements of his companies directly contradict the myth that exhaustion leads to wealth.
Unlike CEOs who expect employees to endure unhappiness in exchange for greater pay, English works to create an environment where happiness and success go hand in hand. This approach not only retains talented employees but reinforces company well-being and effectiveness.
Daniel Altman notes studies by economists correlating employee workplace reviews, such as those on Glassdoor, with future stock performance. Though it’s necessary to adjust for many factors that might affect profitability, economists use advanced statistical tools to show that higher employee happiness and satisfaction predict better future stock returns, outpacing companies with poor workplace cultures. This evidence further undermines the Silicon Valley mindset that misery is a byproduct of success.
Altman emphasizes that employee well-being is a genuine driver of competitive advantage and corporate success, offering measurable benefits both for the people directly involved and company profitability.
Altman shares the story of a star macroeconomist lured with an attractive offer from another university, which he initially accepted. However, he soon reversed the decision, choosing to stay at Harvard. The misstep arose because both the economist and his wife assumed the other preferred the move, when in reality neither wanted to go. This example highlights the potential pitfalls of excessive altruism: making decisions on behalf of a group without clearly communicating and understanding the group's individual preferences.
Altman stresses that effective decision-making for a group (be it a family or a workplace team) depends on accurately ...
Prioritizing Well-Being and Work-Life Balance for Long-Term Success
Download the Shortform Chrome extension for your browser
