EDGE AND ODDS’ Almost DaiLY CHAT (a totally AI generated chat on the day’s post courtesy of Google’s NotebookLM): November 1, 2024
Consumer Spending Intact, but So Too is Core Inflation
Broad personal spending rose 0.5% last month amid upward revisions to prior data. In real, or inflation-adjusted terms, spending was up a solid 0.4%.
The details reveal that households continued to spend broadly. Spending on autos was solid. Real spending in that category advanced 1.5%, somewhat reversing the August decline. At a time when financial markets are trying to better gauge where consumers are in terms of discretionary vs. non-discretionary outlays, spending at restaurants rose the most in a year and helped drive services consumption higher last month. (…)
Consumer purchases of nonessentials (i.e, “wants”) were up 3.3% year-over-year, a bit more than the 2.9% pace registered by non-discretionary purchases (i.e., “needs”).
Households have less to rely on now that household purchasing power has shifted away from pandemic-era sources such as excess savings and credit reliance. Income growth is the primary driver now. That makes the continued resilience of spending more reliant on the health of the labor when considering that durability.
The jobs market has certainly moderated, but income is still supportive of spending.
Households have also saved somewhat less to keep spending. Spending outpaced income growth (+0.3%) last month, which drove the saving rate down to 4.6%, the lowest in nearly a year and the third consecutive monthly drop. But as households continue to spend at a brisk clip, it’s difficult to imagine an environment where businesses let go of a large swath of workers. Indeed, separate data this morning showed initial claims for unemployment benefits remained in-check through late October. (…)
The PCE deflator, the Fed’s preferred inflation gauge, rose 0.2% in September, and improved on a year-ago basis, falling to 2.1%. Yet when excluding food and energy, the core PCE deflator rose a stiff 0.3%, the fastest pace in five months and is flat at 2.7% over the past year signaling stickiness in inflation.
Goods prices have contributed heavily to the decline in inflation so far this year, with prices down 1.2% on a year-ago basis, whereas services prices on the other hand continue to be stickier, up 3.7%.
While still an improvement, it is clear that services inflation will need to slow for the Fed to successfully hit its 2% target. Financial markets may have shifted their focus to the labor market, but the Fed is still keeping its eye on inflation progress as it thinks about the pace of monetary easing. (…)
Solid consumer:
- Wages and salaries rose 0.5% as in August, +5.7% annualized in Q3;
- PCE inflation rose 0.2% after +0.1% in August, +2.0% in Q3;
- Core PCE rose 0.3% after +0.2% in August, +2.8% in Q3;
- “Supercore” inflation (core services less housing) rose 0.3% and remained sticky at 3.2% YoY;
- Real expenditures rose 0.4% after +0.2% in August, +4.1% in Q3;
- Real Durable Goods rose 0.4% after –0.2% in August, +7.4& in Q3;
- Real Services rose 0.2% after +0.3% in August, +2.8% in Q3.
BTW: Initial jobless claims fell 11,000 to 216,000 in the week ended October 26. Normalizing after the hurricanes and strike-related layoffs by Boeing and Stellantis.
Happy Holidays!
Employment Cost Growth: The Sweet Spot
The latest reading on employment costs should boost policymakers’ confidence that the labor market is no longer a threat to returning inflation to 2%. The Employment Cost Index advanced at a 3.2% annualized rate in the third quarter, bringing the one-year change in wages & salaries and benefit costs down to 3.9%. Amid a pickup in productivity growth this cycle, that leaves labor compensation rising at pace consistent with both the Fed’s inflation goal and solid real earnings for workers.
The Employment Cost Index (ECI) grew 0.8% in the third quarter, bringing the year-over-year rate to 3.9%. That still leaves compensation costs rising faster than the high-water mark of the past cycle. However, accounting for productivity growth, which has trended higher this cycle, the ECI’s current run rate looks consistent with the Fed’s inflation goal, as productivity gains allow businesses to raise compensation faster than prices.
On an annualized basis, employment costs rose 3.2% in the third quarter, pointing to a further slowdown ahead in the year-over-year rate.
The ECI is the Fed’s preferred gauge of labor costs since it controls for compositional shifts in the economy’s jobs and is broader in scope than other measures. The ECI includes benefit costs in addition to wages & salaries; it also reflects compensation changes for public sector workers along with private sector workers.
Thus, the latest ECI print is likely to boost policymakers’ confidence that wages are not re-accelerating after average hourly earnings growth strengthened to a 4.0% annualized rate in Q3. Other measures also point to an ongoing slide in labor costs, including the Atlanta Fed’s Wage Growth Tracker and the share of small businesses raising compensation both slipping last quarter to levels last seen in 2021.
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Source: U.S. Department of Labor and Wells Fargo Economics
Within the ECI, there was widespread cooling last quarter. Compensation among private sector workers increased 0.7%—the smallest quarterly gain since spring of 2021—amid a slight easing in wage & salary gains and a more pronounced step-down in benefits growth.
An array of new union contracts have pushed compensation growth for unionized workers over the past year up faster than that of non-unionized workers, who were able to more quickly capture the benefits of the exceptionally tight jobs market coming out of the pandemic. While strike activity still remains elevated relative to the past decade, there are some signs of upward pressures fading, with compensation growth for union workers also easing on a year-ago basis in the third quarter.
Labor costs for public sector workers, which has lagged private sector’s this cycle, also moderated over the quarter for both the wages & salaries and benefits components. (…)
MANUFACTURING PMIs
Note: the U.S. and Canada PMIs are out later today. The Eurozone is out Monday.
China: Manufacturing sector expansion resumes in October
The headline seasonally adjusted Purchasing Managers’ Index™ (PMI®) rose to 50.3 in October, up from 49.3 in September. Rising past the 50.0 neutral mark, the latest data signalled that conditions in the manufacturing sector improved following a brief deterioration in September.
Central to the latest advancement in manufacturing sector conditions was renewed new business growth. Incoming new orders placed with Chinese manufacturers increased at the quickest pace in four months, attributed to better underlying demand conditions and successive new business development endeavours. Export orders remained in decline, however, but saw the rate of reduction ease in the latest survey period.
As a result of higher new work inflows, manufacturing production expanded at an accelerated pace. Confidence about future output also improved among Chinese manufacturers, as optimism levels climbed from September’s low to the highest level in five months. Firms were generally hopeful that better economic conditions and R&D efforts can help to support sales in the year ahead.
Purchasing activity meanwhile rose in response to the uptick in new work, which led to further accumulation of stocks of purchases. Post-production inventory holdings had also increased in tandem as production expanded. Anecdotal evidence suggested that some firms started to rebuild safety stock in October, anticipating higher future demand.
Caution was extended towards hiring, however, with the non-replacement of job leavers resulting in the quickest fall in employment levels in nearly one-and-a-half years. In turn, the level of unfinished work rose in October amid the reduction in workforce capacity.
Turning to prices, average input costs rose for the first time in three months, albeit only fractionally. Higher input material costs, such as for metals, and energy prices were often mentioned by panellists as reasons for renewed inflation.
As a result, average selling prices increased for the first time since June as firms passed on higher input costs. Export charges continued to fall, however, as exporters faced higher competition. Furthermore, freight costs reportedly fell for some exports despite average lead times lengthening again in October.
Japan: Operating conditions deteriorate at sharpest rate forthree months
Posting at 49.2 in October, the headline au Jibun Bank Japan Manufacturing Purchasing Managers’ Index™ (PMI) fell from 49.7 in September to indicate a sharper deterioration in the health of the sector. (…)
Overall new orders fell for the seventeenth month in a row in October, and at moderate pace. Demand retrenchment was cited as a key factor behind the fall, notably in the automotive and semiconductor sectors. International demand was also subdued, as manufacturers noted the sharpest fall in new export business since March, with particular emphasis on weak demand from the US and mainland China. (…)
China Home Sales See First Monthly Rise in 2024 on Stimulus Value of new-home sales from biggest developers rose 7.1%
The value of new-home sales from the 100 biggest real estate companies rose 7.1% from a year earlier to 435.5 billion yuan ($61.2 billion), reversing from a 37.7% slump in September, according to preliminary data from China Real Estate Information Corp. Sales surged 73% from a month earlier.
The improvement came after China unleashed its strongest package of measures, including cutting borrowing costs on existing mortgages, relaxing buying curbs in big cities and easing downpayment requirements. That said, the recovery was lopsided, with state developer benefiting the most from the stimulus.
Home sales of six state-owned enterprises tracked by Bloomberg Intelligence rose an average 26%, while falling 24% for 13 private developers. This uneven recovery underscores how transactions are skewed toward secondhand homes and those developed by state-owned companies due to the lack of fiscal support, Bloomberg Intelligence analyst Kristy Hung said in a note on Friday.
In late September, the trading hub of Guangzhou became the first tier-1 city to remove all restrictions buying residential property. The other top-tier cities Beijing, Shanghai and Shenzhen allowed more people to purchase residences in suburban areas, while letting some others to buy more homes.
The People’s Bank of China also greenlit the refinancing of as much as $5.3 trillion of existing mortgages for millions of families.
Cash-strapped developers are counting on a sales revival to persuade debt holders. China Vanke Co. suffered another hefty loss in the third quarter, with its contract sales down 35% in the first nine months from the same period a year earlier. Country Garden Holdings Co. also won bondholder approval to extend onshore bond payments after failing to secure enough cash.
AI CORNER
Tech Giants See AI Bets Starting to Pay Off Microsoft, Google and Amazon report strong growth in cloud revenue, but warn of increased spending
Revenue from cloud businesses at Amazon, Microsoft and Google reached a total of $62.9 billion last quarter. That figure is up 22.2% from the same period last year and marked at least the fourth straight quarter in which their combined growth rate has increased.
Accelerating growth in cloud computing is the surest sign yet that spending by AI customers is beginning to justify the huge investments tech giants are making in infrastructure to power the technology.
“Demand continues to be higher than our available capacity,” Microsoft chief financial officer Amy Hood said on a call with analysts. (…)
Amazon, Microsoft and Google parent Alphabet disclosed this week that they spent a total of $50.6 billion on property and equipment last quarter, compared with $30.5 billion in the same period last year. Much of that money went to data centers used to power AI.
All three companies warned Wall Street that their spending will go higher in the coming months, as did Meta Platforms, which invests in the infrastructure for its own AI applications on Instagram, WhatsApp and Facebook.
Meta plowed $8.3 billion into new property and equipment last quarter, up from $6.5 billion in the same quarter a year ago, as it seeks to build the world’s most-used AI assistant.
“Our AI investments continue to require serious infrastructure, and I expect to continue investing significantly there,” CEO Mark Zuckerberg said.
Skeptics say it remains unclear whether the current excitement over AI will sustain long-term growth that pays for all of the spending.
Nonetheless, investors saw some signs for hope this week in the robust growth at big cloud businesses, which rent computing storage and processing power in data centers to business customers. (…)
Google, which has long been in third place among cloud providers, reported its revenue from that business revenue grew 35% in the third quarter, well ahead of Wall Street’s expectations.
Amazon Chief Executive Andy Jassy said his company’s cloud AI business was on pace to draw billions of dollars in annual revenue and was growing at a triple-digit rate, faster than the overall Amazon Web Services business. (…)
Microsoft said that in the current quarter, sales of AI products and cloud services will surpass $10 billion on an annualized basis for the first time.
Microsoft, Amazon and Google are moving fast to develop their own AI products for consumers and businesses, such as Google’s Gemini and Microsoft’s Copilot. But their cloud businesses represent their primary efforts to profit from the technology’s adoption in the near term. (…)
Microsoft said usage of a service selling access to OpenAI’s technology through the cloud had doubled over the past six months, citing customers such as the AI startups Grammarly and Harvey.
Oracle, the fourth-largest U.S. cloud provider, is also spending heavily to capitalize on growing demand for AI infrastructure that the big three can’t meet. Oracle’s fiscal quarter ends in November, and it is expected to report earnings in December.
Strain on resources
On Sept. 23, I wrote Power Play to highlight the huge increase in energy demand stemming from AI.
Consulting Bain & Co. yesterday released its 2024 Technology Report squarely focused on AI. Some excerpts:
- Bain estimates that the total addressable market for AI-related hardware and software will grow between 40% and 55% annually for at least the next three years, reaching between $780 billion and $990 billion by 2027.
- The power demands and price tags of these large data centers will impose limits on how many can be
built and how quickly. The scramble to acquire AI resources is already creating extreme competition for resources at the high end of the market, and growing data center requirements will further strain capabilities.
Power consumption is one critical example. Utilities are already fielding requests from hyperscaler customers to significantly expand electrical capacity over the next five years. Their needs will compete with rising demand from electric vehicles and re-shoring of manufacturing, stressing the electric grid. - Infrastructure providers and technology supply chains, including networking, memory, and storage, are also investing to meet the demands for high-performance compute from hyperscalers, digital service companies, and enterprises. Large data centers will push the limits and unleash innovation in physical design, advanced liquid cooling, silicon architecture, and highly efficient hardware and software co-design to support the rise of AI.
- Demand for construction and specialized laborers—as many as 6,000 to 7,000 workers at peak levels—will strain the labor pool. Labor shortages in electrical and cooling may be particularly acute. Many projects occurring at once will stress the entire supply chain, from laying cables to installing backup generators.
- Another issue is how to move more computing power closer to the edge for AI in environments with low tolerance for latency, like autonomous driving. The rise of smaller models and specialized compute capable of running these models at the edge are important steps in this direction. Meanwhile, the industry is rapidly developing new form factors for the edge, including edge AI servers, AI PCs, robots, speakers, and wearables.
- Accelerating adoption of AI across industries will pressure the supply of graphics processing units (GPUs) for data centers, as a seemingly insatiable demand for computing resources to train and operate large language models (LLMs) collides with supply chain constraints. In addition, the coming proliferation of AI-enabled devices appears poised to jumpstart a wave of purchases of new personal computers (PCs) and smartphones, which has major implications for the broader semiconductor supply chain.
- The semiconductor supply chain is incredibly complex, and a demand increase of about 20% or more has a high likelihood of upsetting the equilibrium and causing a chip shortage. The AI explosion across the confluence of the large end markets could easily surpass that threshold, creating vulnerable chokepoints throughout the supply chain.
If you missed it, you should really watch Jensen Huang’s interview with 2 tech savvy investors: https://www.youtube.com/watch?v=bUrCR4jQQg8
AI Models Replace Real People in Mango’s Fast-Fashion Ads Technology is being used to generate content more quickly
The Spanish fast-fashion chain Mango is eliminating some human models and using AI-generated avatars to create advertising campaigns more quickly, Chief Executive Officer Toni Ruiz said in an interview. The garments these AI models are wearing are real and available to customers for purchase. (…)
Some imagery appears on the Mango website with a disclaimer that AI was used to create the visuals. (…)
Mango joins other retail brands, such as Levi Strauss & Co., Louis Vuitton and Nike Inc. that have already teamed up with AI modeling companies. The financial benefits are clear, with AI models typically costing a fraction of the price of a human model. (…)
Mango’s use of AI goes beyond marketing and advertising. AI is also helping the company design collections, providing inspiration for fabrics and more. A bot is now capable of creating clothing that conforms to the Mango design aesthetic, Ruiz said. (…)