CONSUMER WATCH
Americans are spending faster than they earn it
The personal saving rate fell to 2.6% in April, down from 3.2% in March and 4.3% in January — a sharp slide that brings it to its lowest level since mid-2022.
- Consumer spending rose 0.5%, even as disposable personal income fell 0.1%, the Commerce Department said Thursday morning.
- That gap between how fast consumer incomes are rising and how quickly they are spending is driving the drawdown in the saving rate.
- Gasoline and energy goods were the single-largest driver of spending increases in April, one sign of how the war’s energy impact is registering in household budgets.
The Personal Consumption Expenditures Price Index, the Federal Reserve’s preferred inflation gauge, rose 0.4% in April, cooling from 0.7% in March at the height of the energy shock.
- There is still little evidence of the shock spilling over into non-energy-related categories. Core PCE, which excludes food and energy costs, gained 0.2% — cooling slightly from March.
- Still, compared with the prior year, core PCE ticked up to 3.3%, its highest level since 2023. As Fed governor Lisa Cook put it in a speech Wednesday: “Inflation is clearly moving in the wrong direction.”
Before the pandemic, Americans were saving at roughly double today’s rate, though that cushion has been eroded by two consecutive inflation shocks in the span of four years.
Real per capita disposable income — the money consumers can spend after accounting for taxes and inflation — declined 1.4% in April from a year ago. It also dropped 0.4% in March.
Also:
Quarterly results from Dollar Tree, Best Buy and Kohl’s suggest that consumers are still willing to spend on bargains and small indulgences — yet are becoming increasingly selective as higher gas prices and other everyday costs put pressure on household budgets, Axios’ Kelly Tyko writes.
- Their stocks surged today: Dollar Tree (up 17.9%), Best Buy (up 15.8%) and Kohl’s (up 20.5%).
After the market close, Costco reported results that supported the trend, showing 9.8% comparable sales growth.
Goldman Sachs:
Real GDP growth was revised down by 0.4pp to +1.6% (quarter-over-quarter annualized) in Q1.
Consumer spending growth was revised down 0.2pp to +1.4%, largely reflecting downward revisions to healthcare spending from the incorporation of Quarterly Services Survey (QSS) data.
Business fixed investment growth was revised down slightly (-0.4pp to +10.1%), while housing investment growth was revised up (+1.7pp to -6.3%).
Domestic final sales growth was revised down 0.1pp to +2.7%. The contribution of inventory accumulation to GDP growth was revised down 0.3pp to +0.1pp.
Real gross domestic income, an alternative measure of economic activity based on different source data than GDP, grew +0.9% (quarter-over-quarter annualized) in Q1.
Personal income was flat in April, below expectations and partially reflecting a 0.2pp drag from a decline in payments from the Farmer Bridge Assistance program, which had boosted personal income in March. Employee compensation rose 0.2%.
Year-over-year real disposable personal income growth now stands at -1.1%, or -0.4% after excluding the volatile farm income component and the negative base effect from a large increase in Social Security payments last year.
Personal spending rose 0.5% in April, in line with consensus expectations. Real personal spending rose 0.1%, reflecting a 0.2% increase in real services spending but a 0.1% decline in real goods spending.
The core PCE price index increased 0.24% in April, slightly below expectations. Monthly core PCE inflation was revised up by 0.01pp to 0.30% in March and by 0.03pp to 0.40% in February.
Year-over-year core PCE inflation ticked up to 3.29% in April. Headline PCE increased 0.40% in April, and the year-over-year rate increased to 3.77%.


U.S. consumers are seeing prices climb, and not just for fuel
Consumers in the United States are feeling the crush of rising prices. But while the war with Iran gets much of the attention, when volatile products such as food and energy are stripped out, core goods prices are climbing at the fastest pace since Ronald Reagan was on his way out of the White House.
The personal consumption expenditures price index, the measure of goods and services inflation most closely watched by the U.S. Federal Reserve, jumped 3.8 per cent in April from the year before. That was the fastest rate in three years, and it was heavily driven by soaring gasoline prices.
But below the surface, prices for core goods have risen spectacularly.
Two things appear to be at play: tariffs and the artificial intelligence boom. (…)
In a note published by the U.S. Federal Reserve last month, researchers analyzed the impact of tariffs on core goods categories and determined import duties explained much of the increase in prices up to February, 2026. That pressure is set to ease, at least for now, after the U.S.’s top court overturned Mr. Trump’s emergency tariffs, though other tariffs remain in place.
Yet tariffs aren’t entirely to blame, either. Another report published last month by researchers at the Federal Reserve Bank of Minneapolis found prices for some goods are surging more than can be explained by tariffs alone and they pointed to AI-induced demand for electronics equipment, in particular.
Indeed, in Wednesday’s PCE report, the tech category of goods jumped 10 per cent annually. (…)
Here’s Ed Yardeni’s chart on goodsflation. Ed writes: “In his final press conference, Fed Chair Jerome Powell stated he expected the inflationary impact of tariffs to fade within two quarters. That’s not happening yet.”

PCED services is up 3.5% YoY, stubbornly high. The wage-sensitive super-core measure of PCED services (ex energy and housing) also rose 3.5%.
The latest Redbook Retail Sales Index confirms that consumer spending remained strong through May. It rose 8.9% y/y during the week ending May 22, well above the 2025 full-year average of 5.8% (chart).
Chevron CEO warns oil prices to jump over summer as supplies dwindle
(…) “The buffers and the shock absorbers are being steadily drawn down, and the ability for the market to absorb this imbalance is drastically diminished today versus where we started,” he said at a conference organised by the investment bank Bernstein on Thursday.
“Over the next few weeks, we’re likely to see those pressures flow through more directly to physical prices and there’s more upwards pressure that I would expect as we get into June and certainly into July.”
Wirth’s comments follow a 10 per cent fall in oil prices over the past week amid optimism that the US and Iran can agree a deal to end the three-month-long conflict that has closed the Strait of Hormuz (…).
They highlight growing concern among economists that the war’s impact on energy prices will continue to be felt for many months after any deal is agreed to end it. The conflict has removed 12mn-13mn barrels of oil a day from global markets.
The comments by Wirth echo a growing chorus of warnings from other oil executives, including the head of the United Arab Emirates state oil group Adnoc, who cautioned last week that full oil flows through the Strait of Hormuz were unlikely to return before next year even if the conflict is resolved.
“It will take at least four months to get back to 80 per cent of pre-conflict flows, and full flows will not return before the first or even second quarter of 2027,” Adnoc chief executive Sultan al-Jaber said during an Atlantic Council event on May 21. (…)
Wirth said the energy crisis would force governments to focus more on “an insurance policy” by building up oil reserves to insulate them from shocks such as the pandemic and wars in Iran and between Russia and Ukraine. (…)
“If this goes on for long, it tips us into an economic slowdown or a recession, you might have an offset on the demand side, which you can’t rule out.”
Exxon Mobil has warned that global crude oil inventories are set to fall to their lowest level on record in the next few weeks, a situation that would force oil prices sharply higher and put pressure on energy markets.
“We are approaching oil inventory levels that have never been this low before,” Neil Chapman, senior vice-president of Exxon, said at a conference hosted by Bernstein in New York.
Chapman warned with concern: “I mean very, very low levels, extremely low. You can debate whether levels that critical will be reached in 2 or 3 weeks, but whenever we get there, you will see oil prices shoot up immediately.”
The executive added that Dated Brent prices in the physical market would jump to US$150 to US$160 a barrel when oil stockpiles fall to record lows in the coming weeks.
He said that once prices rise to a certain level, demand destruction would help pull the market mechanism back into balance. (…)
Americans Are Falling Behind on Their $1.25 Trillion Credit-Card Bill Soaring interest rates and stubborn inflation have led to highest delinquencies since the financial crisis; ‘a pattern of survival debt’
(…) In the first quarter of this year, the percentage of credit-card balances that were at least 90 days delinquent rose to 13.12%, according to data released in May by the Federal Reserve Bank of New York. That’s the highest level in 15 years, and the most since the period following the 2008 financial crisis. (…)
America’s total credit-card balance stood at $1.25 trillion in the first quarter, according to the New York Fed, up from $1.18 trillion [+5.9%] in that quarter last year. That’s the highest first-quarter balance since the New York Fed began recording the measurement in 1999. (…)
Americans straining to pay off their debt have flooded credit-counseling agencies. The National Foundation for Credit Counseling, a network of nonprofits that helps people reduce credit-card debt, said it had 24% more clients in January than a year earlier. Its average number of monthly clients was 60% higher this year than in 2018. (…)
Americans carry, on average, about $6,500 to $6,700 in credit-card debt, according to credit-reporting agencies. The percentage of cardholders with balances of more than $10,000 has risen in communities across different income levels since 2018, analysis from the Urban Institute data shows. Last year, 17% of cardholders in low-income communities held balances greater than that amount, 20% in medium-income communities and 25% in higher-income communities. (…)
Middle-class households in particular are struggling to pay down balances as more families “shift to a pattern of survival debt,” said Bruce McClary, spokesman for the foundation. (…)
As the graphic below shows, the fortunes of real estate and stocks do a shockingly good job of explaining why some consumers can throw caution to the wind and continue to spend even as savings dip perilously close to zero. Ballooning 401k accounts give people a false sense of security that their retirement financing is ahead of schedule and that they can spend most of their income and even run up debt. Market crashes, in those instances, exacerbate economic pain.
In the extreme cases, the results were recessionary. Wealth is easy-come, easy-go, and an economy that’s sustained by home equity or the stock market is inherently flimsy.
Corporate America Is Starting to Ration AI as Cost Skyrockets Executives are scrambling to track returns on AI investments as the bill for massive computing needs comes due
(…) Some enterprises have hit their annual budget in just three months or reported seeing their AI spending bills double or triple. (…)
But a number of investors and tech executives cautioned against betting on a pullback, noting that sales and usage by corporate AI customers have climbed far faster than forecasts. (…)
Just a few months ago, the prevailing sentiment around AI use at many big companies was the more, the better. All-you-can-eat subscriptions amounted to a subsidy by the model-makers, which often lost money on the intensive activity of power users. Exhorted to embrace the wave of change, employees at some companies engaged in tokenmaxxing, or using as much computing as possible in order to be seen as AI-forward—a practice that continued even as the model companies shifted to usage-based pricing. (…)
Higher costs may eventually steer users toward cheaper models that cost a fraction of the price, but many companies remain wary of such AI systems because several of the cheapest options were developed in China, according to executives. Anthropic, OpenAI, Google and others also offer cheaper versions of their flagship models, and Factory and others have developed systems to help companies triage queries and steer some tasks to cheaper options.
Token use continues to grow immensely. Google said at a recent event that it now processes over 3.2 quadrillion tokens a month, seven times as much as a year ago. The company and others are seeking to reduce the cost of AI use in a variety of ways, including increasing computing efficiency.
That shift to usage-based pricing has forced enterprise customers to reckon with their consumption. An Uber executive said by March, the company had blown through its annual budget for agentic, or autonomous, AI use. Microsoft limited access to an Anthropic program for some employees who can use an internal coding assistant instead. Salesforce introduced a system for tracking how token use ultimately contributes to positive business outcomes. (…)
An Anthropic spokeswoman said the company’s models help customers achieve greater productivity, such as completing complex tasks in less than two weeks that would have taken more than seven months in the past.
“As with any new technology and way of working, teams are still discovering where the biggest gains are and how best to measure them,” she said. “We’re working with customers to give them the tools to make sure the return is something they can see, not just feel.”
Software engineers and startup executives warn that even though it is possible to complete tasks far more quickly, spending on debugging, reviewing and rewriting AI-generated code remains high, indicating that the models still need to be improved.
For companies using advanced AI coding tools, only 18% of spending on tokens is translating into shipped coding products that reach real users, according to EntelligenceAI, a startup that aggregated data on more than 2,000 companies using advanced AI tools for coding.
- Amazon scraps AI leaderboard to stop workers chasing usage scores Senior executive Dave Treadwell tells staff ‘don’t use AI just for the sake of using AI’ as costs rise
Amazon has shut down an internal leaderboard that tracked employees’ use of AI tools after workers tried to boost their scores with unnecessary activity that increased the company’s computing costs.
Employees at the $2.9tn group were told this week its “Kirorank” service — which scored users of Amazon’s Kiro developer platform based on their AI activity — had been taken offline, according to two people familiar with the matter. (…)
Meta employees have similarly sought to boost their position on internal tables by driving up token consumption. (…)
AI labs such as Anthropic have recently shifted to a consumption-based pricing model away from monthly flat fees, in a move that significantly increased the costs of some customers. Amazon uses Anthropic’s AI models extensively.
Amazon had started to use a metric called “normalised deployments”, evidence of engineers regularly using AI to create useful code, to measure the success of its AI tools and adoption of the technology rather than outright token consumption, the people added.
Treadwell told staff that he did not want workers to focus on token use and instead instructed them to focus on building better products.
Compute usage and cost will likely follow patterns similar to the internet in the 1995-2005 period. When internet use became widespread in the 1990s, there was both an immediate problem with individual overuse and a massive consumer cost explosion known as “bill shock”. Because early internet infrastructure was priced by the minute or hour rather than as a flat rate, staying online too long resulted in astronomical, unexpected bills for ordinary households.
The technological novelty combined with the sudden ability to talk to strangers globally triggered immediate societal patterns of overuse.
It was common for families to receive unexpected monthly phone and internet bills totaling hundreds or even thousands of dollars because children or teenagers left the dial-up connection running to browse early websites or use chat rooms.
The cost explosion ended abruptly when AOL shifted to a flat-rate pricing model of $19.95 per month for unlimited access. While this saved consumers from ruinous bills, it created a new infrastructure crisis.
Demand for faster internet services soared as the capabilities and offerings of online services expanded. With the advent of online shopping, streaming media, and an array of cloud-based services, dial-up connections quickly became obsolete. Users required more bandwidth to support these activities—broadband was the solution to this ever-growing demand.
The growth of broadband and e-commerce became deeply intertwined. Each fueled the other’s expansion; e-commerce companies needed customers to have fast and stable internet connections to access their services, while the expansion of broadband opened new markets and opportunities for these companies to reach wider audiences.
- DeepSeek Makes 75% Price Cut on V4 Pro Permanent
From Business Analytics Newsletter:
For the past 18 months, enterprise AI budgets have been locked in a predictable pattern: pay frontier prices, accept frontier performance, negotiate volume discounts. DeepSeek just changed the floor permanently.
The original 75% promotional discount on V4 Pro was set to expire May 31, 2026. Instead, DeepSeek announced the rates are now the standing price, not a promotion. The reason: architectural efficiency, not market pressure.
Long-context inference is expensive. As enterprise AI workloads grow RAG pipelines with large retrieval prefixes, code review agents scanning full repositories, legal document analysis token costs compound fast. A team running 500M input tokens/month at standard frontier rates could pay over $1,000/month in input costs alone, before output.
V4 Pro was engineered from the ground up to cut long-context inference cost, using a Mixture-of-Experts design that activates only 49 billion of its 1.6 trillion parameters per forward pass. Combined with a 1M-token context window and aggressive caching (cache-hit input now at $0.003625/M), the architecture makes the price cut structurally sustainable.
In plain English:
Baseline: GPT-5.5 estimated at ~$30/M output tokens; V4 Pro original price at $3.48/M output
After Optimization: V4 Pro permanent pricing at $0.87/M output tokens (75% reduction from original)
Business Impact: At 1B output tokens/month, switching from GPT-5.5 to V4 Pro saves approximately $2.4M/year; enterprise deployments with cache-heavy workloads can realize even greater savings via the $0.003625/M cache-hit rate
At 34x cheaper than GPT-5.5’s estimated output pricing, this permanently shifts the cost calculus for enterprise AI workloads teams running high-volume RAG pipelines, code review agents, or long-context inference can now achieve seven-figure annual savings compared to closed-source alternatives, while self-hosting the open weights for full data sovereignty.
If your team is still defaulting to GPT-5.5 or Claude Opus 4.7 for cost-sensitive batch workloads, benchmark DeepSeek V4 Pro this week the 80.6% SWE-bench score means coding and reasoning quality is now within striking distance of frontier models at a fraction of the cost.
Anthropic Rockets to $965 Billion Valuation, Topping OpenAI in AI Showdown
The company has emerged as the front-runner in the AI race and is on track next month to hit $50 billion in “annualized revenue”—a metric startups use that employs short-term sales to forecast a yearly figure. That figure grew 80-fold in the first quarter. (…)
The $965 billion valuation more than doubles Anthropic’s previous value. The company’s valuation growth is the fastest in venture-capital history, according to PitchBook Data. Anthropic reached its latest valuation roughly 3 years and 2 months after launching its first product, per PitchBook. (…)
The company’s revenue is set to more than double to $10.9 billion in the second quarter, an explosive rate of growth that will help it turn an operating profit for the first time, The Wall Street Journal has reported. (…)
Instead of chasing chatbot use, Anthropic focused on business customers, especially coding automation, viewing semiautonomous software-writing as a potential takeoff point for more advanced AI capabilities. (…)
OpenAI, which closed a $122 billion funding round earlier this year, has released a competing tool called Codex, and the two companies are locked in a ferocious competition for business users. (…)
The Information says that OpenAI generated $5.7 billion in first-quarter revenue, boosted by demand for Codex.
The FT adds:
Anthropic initially targeted a $30bn raise from financial institutions. The company exceeded that total in part thanks to the participation of infrastructure partners. This added to $15bn in previously committed funding from Big Tech “hyperscalers”, including $5bn from Amazon, to fill out the $65bn raising. (…)
The round comes as private investment giants Apollo and Blackstone were putting together a roughly $36bn debt deal to purchase custom chips designed by Google and Broadcom, which Anthropic intends to lease.
The two firms are sounding out rival investment groups as they prepare one of the largest private credit deals of all time. The loan will be split into multiple tranches, with Broadcom agreeing to step in to make payments to senior lenders if Anthropic misses a payment.
Broadcom’s support means the senior portion of the loan is expected to offer a spread of 1.5-1.75 percentage points above a benchmark compared to a yield of about 8-8.5 per cent on the portion that relies on Anthropic’s ability to meet the chip payments.
Anthropic recently struck a multibillion-dollar deal with Elon Musk’s SpaceX to use one of its data centres, as well as long-term agreements with Google, Broadcom and Amazon potentially totalling hundreds of billions of dollars.
Consumer debt, Investor debt:
Investors are using a record amount of borrowed money to bet on stocks.
Through the end of April, net margin debt hit more than 1.25% of U.S. market cap, near the highest level in records stretching back to 1997. (Axios)
Data: Goldman Sachs Investment Research; Finra; Note: Net margin debt is margin extended to customer securities accounts, after taking account of cash and unused remaining margin credit balances; Chart: Matt Phillips/Axios
Not a timing tool, just a potential fire accelerator.
Speaking of buying on margin: An increasing share of regular folks in South Korea are going all in on the country’s stock market — borrowing money so as not to miss out on the AI-fueled stock boom there.
South Korea’s KOSPI index, which crossed 8,000 for the first time on Tuesday, is up 207% from a year ago. A few big, newly minted trillionaire chipmakers are behind the surge, including SK Hynix and Samsung.
Data: Financial Modeling Prep; Chart: Emily Peck/Axios
Margin loans are at a record high, according to reporting earlier this month in the Korea Times. Middle-aged and older Koreans are increasingly getting in on this — borrowing money so as not to miss out, “mirroring” younger generations but “often with larger sums at stake.”
Some of these folks are risking retirement money with leveraged bets — Korea already has a high poverty rate (40%) for older adults.
- If the AI trade falters, the country’s entire economy is on the line, writes Ed Yardeni at Yardeni Research.
- “Asia’s fourth‑largest economy increasingly resembles a giant leveraged bet on AI.” (Axios)
Trump appointees push $250 banknote with his portrait
The director of the Bureau of Engraving and Printing who resisted the effort was reassigned last month. “The buck stopped here,” she wrote in her goodbye email.


Data: 



(3) Bond Vigilantes and hawkish Fed. An unexpected rate hike at the July meeting (which we are expecting) could unsettle the stock market.