The Tipping Backlash Has Begun
As of November, service-sector workers in nonrestaurant jobs made 7% less in tips than a year ago
3 min
US: People are cutting back on tipping, frustrated by ubiquitous requests for gratuities.
As of November, service-sector workers in non restaurant leisure and hospitality jobs made $1.28 an hour in tips, on average, down 7% from the $1.38 an hour they made a year prior. The data is according to an analysis of 300,000 small and medium-size businesses by payroll provider Gusto.
The tipping slowdown is a gloomy development for all types of workers who rely on holiday tips as a chunk of their annual income. It reflects a broad frustration with the proliferation of tip requests at dry cleaners and bridal boutiques and even self-checkout machines that have sprung up since the pandemic.
Mary Medley, a Denver retiree who described herself to The Wall Street Journal in July as a unilaterally prolific tipper, is one of those who has become more discerning in recent months.
“It feels not as good to tip now that it’s popping up everywhere,” says Medley, 70 years old. “What started out to be a way to acknowledge excellent personal service feels like it’s become a way to help supplement worker compensation.”
There is a cost to the tipping slowdown, however, say economists and business owners. When people tip less, workers suffer, says Jonathan Morduch, a professor of public policy and economics at New York University.
“We’re in a situation where workers still want and expect and need tips to some degree,” Morduch says.
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Some businesses are raising worker pay in part as a response to lower gratuities.
Dan Moreno, founder of Miami-based Flamingo Appliance Service, says he has noticed a slowdown in customers leaving tips for their repair people since the Journal spoke with him in July. The average base wages for his techs have gone up about 10% since then, though he hasn’t eliminated the prompt from point-of-sale machines.
“I don’t know if that’s because customers are just over it. I’ll tell you, personally, I’m a little bit over it,” Moreno says of how his own tipping habits have changed over the past year.
Meanwhile, governments have started to get involved.
In October, Chicago became the second-largest U.S. city to vote to require tipped workers to make the full minimum wage. The full federal minimum wage is $7.25 an hour, while the federal tipped minimum wage many bar and restaurant workers earn is $2.13 an hour. Legislation to get rid of tipped minimums is moving in eight states and measures are on the ballot in an additional four, according to worker-advocacy organisation One Fair Wage.
“There’s an ongoing rejection of the whole system by both workers and consumers who have been increasingly pissed about it,” says Saru Jayaraman, director of the Food Labor Research Center at the University of California, Berkeley and president of One Fair Wage, an advocate for higher wages for restaurant workers.
Restaurant workers earned an average of $3.83 an hour in tips and overtime in November, according to technology company Square, up 8% from the previous year. Between November 2020 and November 2022, that amount rose 50% from $2.36 to $3.54 an hour.
While governments, workers and owners wrestle with what to do about tipping, consumers have embraced the humour in tipping’s massive expansion into so many parts of life. Jokes mocking tipping’s proliferation have spread on social-media sites. In one image, a police officer holds out a tablet with different tip options after giving someone a speeding ticket. In another, someone pretends to ask for a tip for letting a stranger pet her dog.
Garrett Bemiller, a 26-year-old who works in communications, started to question his standard practice of always leaving 20% after being asked for a tip at a self-serve checkout station at an OTG gift shop in New Jersey’s Newark Liberty International Airport in April.
“We all know how absurd it is that it almost relieves some of that guilt in saying no,” he says.
He now always hits “No Tip” when he’s buying a black coffee—even when friends are watching.
Holiday tips
One area people might not cut back is tipping for the holidays.
Of the 2,413 U.S. adults surveyed by financial services company Bankrate, 15% said they planned to leave more-generous tips for workers including housekeepers, child-care workers, landscapers and mail carriers this year. About 13% said they planned to leave less.
Median amounts are so far up from last year across the six types of service providers Bankrate asked about.
“It seems that people view holiday tipping differently, perhaps because of the holiday spirit and also because of the regular interaction with many of these service providers,” Bankrate analyst Ted Rossman says.
Bemiller plans to give the super in his New York City building $100—not because he feels like he has to, but because he wants to.
“She helps me so much throughout the year and that tip seems genuinely justified,” he says.
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Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
4 minA sharp technology sell-off has exposed a new anxiety on global markets: whether the enormous borrowing behind the artificial-intelligence infrastructure boom can generate sufficient returns as interest rates rise and Chinese competition intensifies.
The artificial-intelligence investment boom has powered technology shares, semiconductor manufacturers and data-centre operators to extraordinary heights. Last week, investors were given a reminder that much of this expansion is being built with borrowed money.
The technology-heavy Nasdaq Composite fell 4.5 per cent over the week ended October 16, its weakest performance since late June. Semiconductor shares suffered an even deeper correction, with the Philadelphia Semiconductor Index losing about 11.4 per cent.
The selling spread quickly through global markets. Micron Technology fell 14.6 per cent over the week, while South Korea’s Samsung Electronics and SK Hynix dropped approximately 18 per cent and 24 per cent respectively.
This was more than a routine bout of profit-taking. Investors were reassessing three interconnected risks: higher interest rates, the rapidly expanding debt burden attached to AI infrastructure and the prospect of stronger competition from Chinese memory-chip manufacturers.
The debt behind the AI build-out
Artificial intelligence requires a physical infrastructure network of enormous scale. Data centres must be built, advanced processors purchased, power supplies secured and cooling systems installed before customers begin generating meaningful revenue from them.
Technology companies are increasingly supplementing their own cash with corporate bonds, syndicated loans, equipment leases, private credit and project-level financing.
JPMorgan describes the emerging funding model as a combination of conventional corporate borrowing and project finance tied to individual data-centre assets. In Australia, the Reserve Bank estimates that syndicated loans accounted for approximately three-quarters of data-centre financing during 2025 and 2026 to date.
The numbers are becoming large enough to affect broader credit markets. The Federal Reserve Bank of Dallas has cited Wall Street estimates suggesting AI-related investment-grade bond issuance could approach US$300 billion in 2026 alone.
That borrowing is not automatically problematic. Debt can be an efficient way to finance long-lived infrastructure when future revenue is sufficiently predictable. The concern is that AI technology, customer demand and computing economics are changing much faster than the repayment schedules attached to the assets.
A data centre financed today may carry debt for years. Investors must therefore make assumptions about future utilisation rates, electricity prices, chip performance, customer concentration and the amount businesses will ultimately pay for AI computing.
When interest rates rise, those assumptions become less forgiving.
Inflation changes the calculation
September’s US inflation data intensified the pressure. Consumer prices increased 3.7 per cent over the year, ahead of market expectations and up from 3.4 per cent in August.
The hotter reading reduced confidence that interest rates would fall quickly and pushed bond yields higher. That matters particularly for companies whose valuations depend on profits expected well into the future, as well as highly leveraged infrastructure operators that may need to refinance.
CoreWeave has emerged as a closely watched test case. The specialist cloud-computing company has accumulated substantial debt and lease obligations to build AI capacity, while relying on a concentrated group of large technology customers.
Its shares fell sharply during the sell-off, while the cost of insuring its debt against default climbed. CoreWeave has argued that its contracted backlog more than covers its obligations and that financial markets do not always understand its business model. Nevertheless, its securities have become a proxy for investor confidence in debt-funded AI infrastructure.
Oracle, another major investor in AI computing capacity, fell 8.8 per cent in Friday trading, while CoreWeave dropped 15.5 per cent.
The question is shifting from how much AI infrastructure can be built to how profitably it can be operated.
China adds another source of pressure
Interest rates were not the only catalyst. Reports of advances by Chinese memory-chip producer ChangXin Memory Technologies raised concerns that lower-cost Chinese products could increase competition across the global semiconductor industry.
Memory chips are essential to AI systems, but the industry is historically cyclical. Periods of tight supply and high pricing can encourage rapid investment, eventually producing oversupply and falling margins.
The prospect of a well-funded Chinese competitor expanding its technological capabilities unsettled investors in Samsung, SK Hynix and Micron. It also demonstrated that AI-related demand does not insulate chipmakers from conventional competitive pressures.
That combination—slower rate cuts, more expensive financing and potentially cheaper supply—challenged the assumption that every company exposed to AI would enjoy continually expanding margins.
A reset rather than the end of the boom
The sell-off does not establish that the AI boom is ending. Demand for computing power remains strong, the largest technology companies continue to generate formidable cash flows and many infrastructure projects are backed by long-term customer contracts.
What has changed is the market’s willingness to overlook the price and financing structure of that growth.
The most resilient companies are likely to be those able to fund investment from operating cash flow, secure long-duration customers and demonstrate that new capacity will earn returns comfortably above its financing costs.
More speculative operators may face greater scrutiny, particularly where debt is expensive, customers are concentrated or expected revenue depends on demand that has not yet materialised.
For Australian investors, the lesson extends beyond US technology shares. Local data-centre operators, infrastructure funds, electricity suppliers and property groups are increasingly exposed to the same investment cycle.
Artificial intelligence may remain one of the defining growth themes of the decade. But last week’s correction showed that enthusiasm for the technology does not eliminate financial discipline.
The next stage of the AI boom will be judged not only by computing power, model performance or demand for chips, but by something more traditional: whether the assets being financed can generate enough cash to repay the money borrowed to build them.
Fact box
Nasdaq Composite: Down 4.5 per cent for the week ended October 16, 2026
Philadelphia Semiconductor Index: Down approximately 11.4 per cent
Micron Technology: Down approximately 14.6 per cent
Samsung Electronics: Down approximately 18 per cent
SK Hynix: Down approximately 24 per cent
US September inflation: 3.7 per cent annually
Estimated 2026 AI-related investment-grade issuance: Approximately US$300 billion
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