Money Buys Happiness, Even if You’re Already Rich

A big raise provides significant boosts in happiness even at household incomes of $500,000, according to a new research report.

A wealth of research has long shown that more money makes a big difference to people with low pay, moving them from insecurity to stability. Above that level, the effect is often assumed to be much smaller.

But according to a paper by Matt Killingsworth , a senior fellow at the University of Pennsylvania’s Wharton School, the bonuses and leaps in income high earners reap are so large that they keep adding to well-being in the same way that smaller pay bumps do at lower tiers of earnings.

“I think of this as a ladder across society. The rungs are separated by more and more dollars, but exactly the same amount of happiness,” said Killingsworth, who published his report on his Happiness Science website.

An academic paper in 2010 popularised $75,000 as the salary threshold beyond which earning more money didn’t make people any happier. More recent research indicates that there is no such plateau.

Killingsworth and other researchers stress that many things influence human happiness, including your relationships, your job and the country you live in.

“No single factor, including money, dominates the equation,” Killingsworth said.

Previous studies on money and happiness have consistently demonstrated two things: that richer people are happier, and that it takes progressively more money to keep generating a well-being boost of a given size.

Killingsworth says that many people draw the wrong conclusion from that latter finding. They assume that money makes the biggest difference on Americans’ happiness at lower levels of income.

His paper suggests this assumption is wrong. That is because earnings surge exponentially across the income distribution, offsetting money’s diminishing returns on happiness even at the high end.

The lowest-earning 20% of U.S. households on average brought in about $23,000 before taxes in 2021, and the middle 20% earned about $87,000, according to the latest data from the Congressional Budget Office. The top 20% averaged roughly $418,000, with the very highest earners making significantly more than that.

“It could be entirely reasonable for an individual to continue aspiring to climb one more rung in the income ladder” to pursue happiness, Killingsworth writes in his paper.

Even Americans earning a lot of money wish they could do just that. Last year, survey respondents with incomes of $200,000 or more said that the median income they would need to be happy and less stressed was $350,000, according to data from the financial-services company Empower.

More money doesn’t guarantee more happiness. The side effects vary. Some who receive big raises later report big letdowns. Others who voluntarily take a pay cut say they are glad they did.

Chip makers are fighting to assure investors that the artificial-intelligence boom is racing forward. Wall Street might not believe it until Nvidia’s NVDA -0.98%decrease; down pointing triangle Jensen Huang says so.

When Huang steps up to the mic for his company’s earnings call Wednesday, he will have the world’s attention. What he says about Nvidia’s present will preview the future of AI, dictate the path forward for a tech-crazed stock market and influence an American economy increasingly tethered to hopes that the boom won’t go bust.

The $5 trillion chip maker has provided the key building blocks for AI since the launch of ChatGPT in 2022 set off a race for dominance among OpenAI, Anthropic and established Silicon Valley giants. Now, as Nvidia backstops sprawling data-center projects and an exotic money pipeline to boost chip demand, the company’s influence is arguably bigger than ever.

But there are signs of trouble ahead. Political pushback to AI is growing. A bond selloff propelled borrowing costs to their highest levels in years. The hyperscalers that include some of Nvidia’s key customers—once cash-printing machines—are relying more on debt. OpenAI recently told investors its revenue rose by a tepid 18% in the second quarter while its losses deepened.

Nvidia is increasingly stepping in to shore up potential weak points across the market. Earlier this month, the company teamed up with six of Wall Street’s biggest firms on a $500 billion AI-financing plan, pledging to backstop lending to customers that can’t afford its chips otherwise. The chip maker last week also took a stake in Cloverleaf Infrastructure, which arranges power for data centers, and struck a $6 billion deal with startup Poolside aimed at developing a powerful open-weight AI model.

After watching shares in other chip makers and the so-called Magnificent Seven tech companies swing wildly in recent months, Wall Street is hoping Nvidia can beat expectations—again. The countdown is on.

“It’s kind of becoming more and more like the World Cup final than the Super Bowl at this point,” said Brian Mulberry, chief market strategist at Zacks Investment Management. “It’s just gotten to be that big.”

The company has smashed analysts’ earnings estimates for each of the 14 quarters since the AI boom kicked into high gear. Nvidia posted 210% annual growth in net income in its last three-month period, according to FactSet, making Wall Street’s 126% projection look pedestrian.

Expectations for a blowout second quarter have risen rapidly over the course of this year. All Nvidia will have to do to beat this target: outrun 95% annual earnings growth to more than $51.5 billion. Analysts project the chip maker will report record sales of $92 billion for the period, up from a forecast of $78 billion at the start of this year.

In July, big-tech earnings sparked volatility. Concerns about runaway capital spending spread across the sector after Alphabet’s and Tesla’s results, driving a $890 billion wipeout that contributed to the unwind of hedge fund Situational Awareness. Microsoft posted the largest one-day gain in market capitalization by any company, ever, after a quarter proving that it could still show investors the money. SpaceX rocketed higher after a record-breaking initial public offering, only to see $1 trillion in value evaporate.

Surging memory prices and borrowing costs have fueled fears that those and other companies will be unable to keep plowing more money into supplies including Nvidia chips. Shaia Hosseinzadeh, founder of OnyxPoint Global Management, has recently bought dips in AI-infrastructure stocks when Wall Street has strained to absorb massive debt issued by Silicon Valley.

“The macro data is really quite robust,” he said. “Of course, there’s a level at which everything breaks.”

Investors have kept pumping money into the AI trade despite concerns around chip consumers—and to the benefit of chip producers. That is why Nvidia’s outlook for semiconductor demand could send ripples through counterparts such as Micron Technology and Sandisk, developers of the data centers in which their chips reside, and a supply chain of power producers, contractors and other specialists that underpin the globe-spanning AI build-out.

“We joke internally that we’re all Nvidia analysts now,” said David Lefkowitz, head of U.S. equities at UBS Global Wealth Management.

The irony is that investors have tended to sell Nvidia stock immediately after blockbuster earnings, with shares falling each trading session after its four past quarterly reports. Some are betting that will be the case this time around, too.

The options market is pricing in a 5.3% swing, higher or lower, in Nvidia shares during the session following earnings, according to Option Research & Technology Services. That is higher than the 4.8% average move in Nvidia’s stock over the last 12 months after the company reports quarterly results.

In recent days, some of the most actively traded Nvidia options have been put contracts tied to the stock falling from its Friday value of $214.75 to $205 and $210 apiece, according to Cboe Global Markets data. Put options give the right to sell a stock by a set price and typically represent a bearish wager.

Many analysts remain optimistic. Frank Lee, global head of tech hardware and semiconductor research at HSBC Global Investment Research, recently raised his price target for Nvidia shares to $360 from $325, citing, among other things, Nvidia’s strategic partnerships with suppliers and its role as a top contributor to open-source AI.

Money Buys Happiness, Even if You’re Already Rich

A 10% raise delivers a similar boost in satisfaction across income levels, research finds

Nvidia’s earnings will test Wall Street’s confidence in the AI boom.