Show Notes
How can people keep spending while feeling increasingly uneasy about their financial future?
In this episode, I’m joined by Kyla Scanlon, economic commentator and author of In This Economy? How Money & Markets Really Work. Kyla coined the term “vibecession” to describe the disconnect between economic data and how people feel about the economy.
We explore why that gap persists, how the path from earning a paycheck to owning assets has changed, and what the AI boom means for households and investors. We also discuss why some people turn to gambling when financial progress feels out of reach, and which principles still matter when the future is uncertain.
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What Is a Vibecession and Why Does Consumer Sentiment Matter? (01:14)
I start by asking Kyla about the term that introduced so many people to her work.
She describes posting an upbeat video about economic growth and hearing from viewers whose experiences looked very different. That reaction prompted a question she has been exploring ever since: what are we missing when economic measures and people’s feelings tell different stories?
“Vibecession” was her way of naming that gap. She wanted people’s concerns taken seriously, and some of the reaction to the term suggested that message had been misunderstood.
We also discuss social media’s role in shaping expectations. I bring up my recent conversation with Morgan Housel about how our comparison group has expanded far beyond our neighbors. An algorithm can show us an endless collection of things we don’t have.
Kyla sees reasons to think that environment contributes to economic anxiety, while emphasizing how difficult it is to isolate its effects from affordability, inflation, and everything else influencing sentiment.
How Understanding the Economy Helps You Make Better Financial Decisions (05:27)
Kyla’s interest in economic education has a practical origin: selling cars.
She recalls customers who didn’t understand how their credit scores affected borrowing, what their incomes could support, or what they were committing to with an 84-month loan. Those experiences made clear how economic concepts show up in consequential personal decisions.
The same is true of smaller purchases. Supply chains help explain the price of coffee, just as borrowing conditions affect the cost of a car or home.
We discuss how financial terminology can become a barrier. A familiar example is the difference between lower inflation and lower prices. When inflation slows, prices can still be rising, which helps explain why an improving inflation report may offer little comfort at the grocery store.
We also touch on politics. Kyla points out that many economic outcomes depend on policy decisions, while I raise the way partisan preferences can influence how people interpret the same data.
Why Strong Consumer Spending Does Not Necessarily Signal Financial Confidence (09:59)
I ask Kyla what to make of consumers who say they feel terrible about the economy but continue spending.
Her answer gets to the heart of the conversation: “Just because people are spending doesn’t mean that they’re happy.”
Housing, childcare, and eldercare still have to be paid for. Spending on those necessities can support economic activity while putting pressure on household finances.
Kyla also describes how people’s assessments of their own circumstances can differ from their assessments of the national economy. Sentiment depends partly on which question we ask and whose experience we measure.
Expectations add another layer. Someone may be managing today’s bills while feeling further away from buying a home, starting a family, or advancing in a career than they expected. That distance between their current situation and the future they imagined can shape how secure they feel.
Why Owning Assets Feels More Important Than Earning a Paycheck (14:08)
We turn to Kyla’s essay, “How to Get Rich in America,” and the relationship between work, ownership, and financial progress.
Owning assets has always mattered. Kyla argues that the challenge today is the changing relationship between wages and the prices of the assets people hope to buy. People who already own homes and stocks have benefited from appreciation, while those trying to get started face a harder first step.
She also discusses the shift from pensions to retirement accounts that place more responsibility on individuals, as well as companies remaining private longer.
I explain that a central idea I teach is gradually becoming an owner through diversified investing. That advice remains useful, but it doesn’t eliminate the difficulty of saving while trying to afford housing and establish a career.
Kyla encourages financially comfortable people to recognize how challenging entry can be. Having benefited from decades of ownership can make it harder to appreciate what getting started looks like today.
How AI Spending, Energy Prices, and Government Borrowing Connect (18:47)
AI investment, energy prices, and government debt often appear in separate headlines. I ask Kyla to explain how they connect to everyday finances.
Data centers require electricity and the infrastructure to deliver it. Building them also requires enormous amounts of capital, some of which companies raise through borrowing. At the same time, the government is borrowing to fund its deficits.
We discuss “crowding out,” a possible channel through which that borrowing can affect other borrowers. When bond issuance increases faster than investor demand, bond prices can fall and yields can rise. Households and businesses may then face more expensive financing.
Kyla is careful about the strength of that explanation. The mechanism is understandable; measuring how much it explains current mortgage rates is much harder.
The broader point is that the AI buildout can affect people through energy costs and financing conditions, even if they never buy an AI product or invest directly in an AI company.
Can AI Be Useful Without Being a Great Investment? (21:49)
I raise a distinction that matters whenever a promising technology attracts enormous investment: its usefulness and the returns earned by the people financing it are separate questions.
Railroads and the internet provide historical examples of innovations that changed the economy while producing very different outcomes for individual investors.
Kyla agrees that AI can be useful, but questions how well today’s spending will line up with future demand and profits. She also highlights an important difference between physical infrastructure and computing equipment: rapid advances in chips can shorten the economic life of expensive hardware.
We discuss the scale of customer spending that would be needed to support the buildout, along with the uncertainty around how people and businesses will use these products.
I’m not making a declaration that AI is a bubble. The investing question is whether the enthusiasm, spending, and expectations surrounding a technology will translate into attractive returns.
What Do We Really Know About AI and Jobs? (26:07)
There is considerable confidence in predictions about AI replacing workers. I ask Kyla how much of that confidence the evidence supports.
She describes a difficult environment for people looking for entry-level jobs, alongside uncertainty about how much of that difficulty comes from AI, remote work, or other changes in hiring.
Her conversation with Chicago Fed President Austan Goolsbee provides useful context: low hiring and low firing can coexist. A labor market may offer stability to people already employed while presenting significant obstacles to those trying to enter it.
We also discuss the physical constraints facing AI infrastructure, including access to electricity, water, and fuel. Announcing a data center and operating one are different challenges.
Those uncertainties matter for investment decisions and for people planning careers. Kyla’s position is that we still have many more questions than clear answers about the pace and consequences of these changes.
How Financial Insecurity Can Encourage Gambling and Speculation (29:59)
Our conversation turns to “financial nihilism,” which Kyla describes as a loss of belief in one’s financial future.
When the familiar route to stability feels unavailable, taking a big swing can become more appealing. She discusses a working paper called Giving Up, which examines how declining prospects for homeownership can be associated with greater spending relative to wealth, less work effort, and riskier investment choices.
That helps explain why someone worried about financial security might take risks that could make their situation worse. They may have lost confidence that steady effort will produce the life they want.
At the same time, sports betting, prediction markets, and gambling features within financial platforms have become increasingly accessible.
Kyla argues that the combination matters: people feel locked out of conventional progress while an industry markets speculation as an exciting opportunity. Understanding that appeal is part of understanding the behavior, even when the choices undermine long-term financial security.
What Still Works When the Financial Playbook Feels Uncertain? (33:13)
I ask Kyla which principles for building financial security she still believes in and which advice needs updating.
She returns to familiar foundations: spend less than you earn, keep cash available, begin owning assets when you can, understand financial agreements, and avoid gambling. Her new show, Best of Luck, explores how people can apply career advice in an economy that keeps changing.
I share why I still emphasize getting started, saving consistently, and investing thoughtfully. Financial education matters, particularly when people encounter advice from sources with very different levels of knowledge and different incentives.
We finish with optimism. I discuss how frequent portfolio feedback can shorten an investor’s mental time horizon and encourage reactions that undermine a long-term plan.
Kyla finds hope in people’s creativity and their willingness to keep asking how to build better lives. Her travels have brought her into contact with people trying new approaches and finding ways forward. That capacity to adapt gives both of us reasons to remain optimistic.
Resources
- Kyla Scanlon’s website
- Kyla’s Newsletter
- In This Economy? How Money & Markets Really Work
- Signed copies of In This Economy? at Skylight Books
- Best of Luck with Kyla Scanlon
- How to Get Rich in America
- The Shrugflation Triangle: How AI, Oil, and Treasuries Are Impacting the Economy
- “Giving Up”: The Impact of Decreasing Housing Affordability on Consumption, Work Effort, and Investment
Audio editing by The Podcast Consultant.
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