After an unexpected buildup in 2015, U.S. business inventories dipped in the second quarter of 2016—the first contraction since 2011. Inventories should start to grow again before the end of the year.
Seven years into the recovery, the U.S. economy appears to be growing, but sluggishly. Recent figures for real gross domestic product (GDP) growth seem to show significant weakness. In the second quarter of 2016, real GDP advanced at a seasonally adjusted annual rate of just 1.2 percent, and first-quarter growth stood at a mere 0.8 percent. Moreover, real GDP growth in each of the last three quarters was slower than during any of the preceding quarters since Q1 of 2014.
Other data, however, contradict the gloomy picture of stagnation presented by the headline GDP numbers. The U.S. Bureau of Labor Statistics' monthly employment numbers, for example, tell a different story. Both the June and July reports were uniformly positive and strong, in terms of both the number of payroll jobs added to the economy and the increases in hours worked and wages earned. In addition, the labor-force participation rate grew during that period.
A closer examination of the components of GDP growth helps to illuminate the reasons for this apparent disconnect. The bright spot of the second quarter was real consumer spending, which grew at an annual rate of 4.2 percent. Capital spending by businesses and residential investment fell, but the drop in residential investment is likely to reverse due to strong demand for housing. On the negative side, labor productivity has been a soft spot for the economy; nonfarm business productivity declined in every quarter between Q4 2015 and the second quarter of this year, making this the longest slump since the late 1970s. Productivity is an important factor in determining macroeconomic output, wages, and prices; the combination of higher wages and lower productivity is placing downward pressure on corporate profits, which are already under strain from the downturn in energy and commodity prices. Business investment has also been in negative territory for the past three quarters, while new orders for nondefense capital goods excluding aircraft has declined on a year-over-year basis for the past six quarters.
Not all is doom and gloom, however. Real final sales (real GDP less inventories) and final sales to domestic purchasers (real GDP less inventories and exports), which are better measures of the underlying strength of the economy than the headline number, advanced 2.4 percent and 2.1 percent, respectively, in the second quarter—a far cry from the 1.2 percent overall GDP growth seen during that period. This points to inventories as the main culprit behind the poor GDP performance. Indeed, the largest drag on GDP in the second quarter came from a US$8.1 billion drop in real inventories, the first contraction since 2011.
Such a decline portends good things for the economy in the third and fourth quarters, as businesses running on leaner inventories now will invest in building them up in the latter half of the year, thereby contributing to economic growth. Given that the June and July employment reports probably were unsustainably good, it's likely that greater inventory accumulation will resolve the disconnect between GDP and employment data, as the former catches up and the latter cools down.
The 2014-2015 inventory story
Slowing inventory investment has subtracted at least 0.3 percentage points from the annualized GDP growth rate in each of the last five quarters. This drag was the highest in the second quarter of 2016, hitting 1.2 points. An unintended inventory accumulation during mid-2015 is the cause; that excess had to be whittled down before another inventory build could begin. This accumulation was set in motion by a "perfect storm" of factors. These included the following:
West Coast port labor disruptions. In 2014, a labor contract between a dockworkers union and an association representing their employers at U.S. West Coast ports expired. Tensions between the two groups mounted, and the dockworkers were accused of staging a labor slowdown in order to put pressure on the association to meet their demands. Both imports and exports were affected. On the import side, many ships were unable to unload their cargoes, leading manufacturers, wholesalers, and retailers to exhaust their existing inventories and struggle to restock. Many businesses began ordering supplies from other channels. When the labor dispute was resolved in late February 2015, the backlog of goods began flowing through the ports again. This led businesses to experience inventory surpluses, which peaked in the latter half of 2015.
The strong U.S. dollar. The U.S. dollar's marked appreciation since late 2014 caught many exporters off-guard. Increased relative prices placed downward pressure on U.S. exports, which contributed to the accumulation of unsold inventories for exporting companies.
The decline in global oil and commodity prices. World oil and commodity prices plunged in 2014 and 2015, reducing spending on equipment and structures like drilling rigs in the energy and mining industries.
The global economic slowdown. Turbulence in world economies, and particularly China's financial turmoil and economic slowdown, dealt a blow to China's growth and to that of other emerging markets, reducing aggregate demand.
The missing "pump-price dividend." When gasoline prices dropped in 2014, many retailers expected that the resulting savings would spur consumer spending in the third- and fourth-quarter shopping seasons. These businesses stocked up on inventory in anticipation of that demand. However, that demand did not materialize as expected. Instead, households used their "pump-price dividend"—which amounted on average to approximately $14 in savings per week in 2015 compared to 2014—to pay down debts, build up bank balances, and dine out.
Warm weather. Unseasonably warm weather in the fourth quarter of 2015 resulted in poor clothing sales, as customers had little need of heavy winter gear. This led to a significant accumulation of inventories of clothing.
Economic and inventory outlook
When the current inventory drawdown is put into context, things no longer look so grim for the U.S. economy. Real GDP is projected to increase 1.6 percent this year, 2.4 percent in 2017, and 2.4 percent again in 2018. In 2017 and 2018, export and business-investment growth are expected to pick up due to a weaker dollar. Meanwhile, oil and commodities prices are likely to gradually increase during that period. Consumer spending will drive the expansion forward, supported by growth in employment, real incomes, and household net worth. However, auto sales are likely to start declining in 2018 after reaching an all-time high of 17.78 million units in 2017. Housing construction will continue to recover in response to pent-up demand from young adults and improved credit availability. In addition, the Federal Reserve will remain cautious in regard to raising interest rates.
Retailers are likely to lead the way in inventory building this year, but they will take it slowly because of tight margins, fierce competition, and price discounting. However, consumer spending remains one of the main drivers of economic growth, and retail inventory growth is expected to outpace that for manufacturing and wholesale inventory in 2016. (See Figure 1.) Manufacturing and wholesale inventories are expected to weaken in 2016, then grow at a significantly faster pace in 2017 and 2018 once exports perform better due to a weaker dollar.
The launch is based on “Amazon Nova,” the company’s new generation of foundation models, the company said in a blog post. Data scientists use foundation models (FMs) to develop machine learning (ML) platforms more quickly than starting from scratch, allowing them to create artificial intelligence applications capable of performing a wide variety of general tasks, since they were trained on a broad spectrum of generalized data, Amazon says.
The new models are integrated with Amazon Bedrock, a managed service that makes FMs from AI companies and Amazon available for use through a single API. Using Amazon Bedrock, customers can experiment with and evaluate Amazon Nova models, as well as other FMs, to determine the best model for an application.
Calling the launch “the next step in our AI journey,” the company says Amazon Nova has the ability to process text, image, and video as prompts, so customers can use Amazon Nova-powered generative AI applications to understand videos, charts, and documents, or to generate videos and other multimedia content.
“Inside Amazon, we have about 1,000 Gen AI applications in motion, and we’ve had a bird’s-eye view of what application builders are still grappling with,” Rohit Prasad, SVP of Amazon Artificial General Intelligence, said in a release. “Our new Amazon Nova models are intended to help with these challenges for internal and external builders, and provide compelling intelligence and content generation while also delivering meaningful progress on latency, cost-effectiveness, customization, information grounding, and agentic capabilities.”
The new Amazon Nova models available in Amazon Bedrock include:
Amazon Nova Micro, a text-only model that delivers the lowest latency responses at very low cost.
Amazon Nova Lite, a very low-cost multimodal model that is lightning fast for processing image, video, and text inputs.
Amazon Nova Pro, a highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks.
Amazon Nova Premier, the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models
Amazon Nova Canvas, a state-of-the-art image generation model.
Amazon Nova Reel, a state-of-the-art video generation model that can transform a single image input into a brief video with the prompt: dolly forward.
Economic activity in the logistics industry expanded in November, continuing a steady growth pattern that began earlier this year and signaling a return to seasonality after several years of fluctuating conditions, according to the latest Logistics Managers’ Index report (LMI), released today.
The November LMI registered 58.4, down slightly from October’s reading of 58.9, which was the highest level in two years. The LMI is a monthly gauge of business conditions across warehousing and logistics markets; a reading above 50 indicates growth and a reading below 50 indicates contraction.
“The overall index has been very consistent in the past three months, with readings of 58.6, 58.9, and 58.4,” LMI analyst Zac Rogers, associate professor of supply chain management at Colorado State University, wrote in the November LMI report. “This plateau is slightly higher than a similar plateau of consistency earlier in the year when May to August saw four readings between 55.3 and 56.4. Seasonally speaking, it is consistent that this later year run of readings would be the highest all year.”
Separately, Rogers said the end-of-year growth reflects the return to a healthy holiday peak, which started when inventory levels expanded in late summer and early fall as retailers began stocking up to meet consumer demand. Pandemic-driven shifts in consumer buying behavior, inflation, and economic uncertainty contributed to volatile peak season conditions over the past four years, with the LMI swinging from record-high growth in late 2020 and 2021 to slower growth in 2022 and contraction in 2023.
“The LMI contracted at this time a year ago, so basically [there was] no peak season,” Rogers said, citing inflation as a drag on demand. “To have a normal November … [really] for the first time in five years, justifies what we’ve seen all these companies doing—building up inventory in a sustainable, seasonal way.
“Based on what we’re seeing, a lot of supply chains called it right and were ready for healthy holiday season, so far.”
The LMI has remained in the mid to high 50s range since January—with the exception of April, when the index dipped to 52.9—signaling strong and consistent demand for warehousing and transportation services.
The LMI is a monthly survey of logistics managers from across the country. It tracks industry growth overall and across eight areas: inventory levels and costs; warehousing capacity, utilization, and prices; and transportation capacity, utilization, and prices. The report is released monthly by researchers from Arizona State University, Colorado State University, Rochester Institute of Technology, Rutgers University, and the University of Nevada, Reno, in conjunction with the Council of Supply Chain Management Professionals (CSCMP).
Specifically, 48% of respondents identified rising tariffs and trade barriers as their top concern, followed by supply chain disruptions at 45% and geopolitical instability at 41%. Moreover, tariffs and trade barriers ranked as the priority issue regardless of company size, as respondents at companies with less than 250 employees, 251-500, 501-1,000, 1,001-50,000 and 50,000+ employees all cited it as the most significant issue they are currently facing.
“Evolving tariffs and trade policies are one of a number of complex issues requiring organizations to build more resilience into their supply chains through compliance, technology and strategic planning,” Jackson Wood, Director, Industry Strategy at Descartes, said in a release. “With the potential for the incoming U.S. administration to impose new and additional tariffs on a wide variety of goods and countries of origin, U.S. importers may need to significantly re-engineer their sourcing strategies to mitigate potentially higher costs.”
Grocers and retailers are struggling to get their systems back online just before the winter holiday peak, following a software hack that hit the supply chain software provider Blue Yonder this week.
The ransomware attack is snarling inventory distribution patterns because of its impact on systems such as the employee scheduling system for coffee stalwart Starbucks, according to a published report. Scottsdale, Arizona-based Blue Yonder provides a wide range of supply chain software, including warehouse management system (WMS), transportation management system (TMS), order management and commerce, network and control tower, returns management, and others.
Blue Yonder today acknowledged the disruptions, saying they were the result of a ransomware incident affecting its managed services hosted environment. The company has established a dedicated cybersecurity incident update webpage to communicate its recovery progress, but it had not been updated for nearly two days as of Tuesday afternoon. “Since learning of the incident, the Blue Yonder team has been working diligently together with external cybersecurity firms to make progress in their recovery process. We have implemented several defensive and forensic protocols,” a Blue Yonder spokesperson said in an email.
The timing of the attack suggests that hackers may have targeted Blue Yonder in a calculated attack based on the upcoming Thanksgiving break, since many U.S. organizations downsize their security staffing on holidays and weekends, according to a statement from Dan Lattimer, VP of Semperis, a New Jersey-based computer and network security firm.
“While details on the specifics of the Blue Yonder attack are scant, it is yet another reminder how damaging supply chain disruptions become when suppliers are taken offline. Kudos to Blue Yonder for dealing with this cyberattack head on but we still don’t know how far reaching the business disruptions will be in the UK, U.S. and other countries,” Lattimer said. “Now is time for organizations to fight back against threat actors. Deciding whether or not to pay a ransom is a personal decision that each company has to make, but paying emboldens threat actors and throws more fuel onto an already burning inferno. Simply, it doesn’t pay-to-pay,” he said.
The incident closely followed an unrelated cybersecurity issue at the grocery giant Ahold Delhaize, which has been recovering from impacts to the Stop & Shop chain that it across the U.S. Northeast region. In a statement apologizing to customers for the inconvenience of the cybersecurity issue, Netherlands-based Ahold Delhaize said its top priority is the security of its customers, associates and partners, and that the company’s internal IT security staff was working with external cybersecurity experts and law enforcement to speed recovery. “Our teams are taking steps to assess and mitigate the issue. This includes taking some systems offline to help protect them. This issue and subsequent mitigating actions have affected certain Ahold Delhaize USA brands and services including a number of pharmacies and certain e-commerce operations,” the company said.
Editor's note:This article was revised on November 27 to indicate that the cybersecurity issue at Ahold Delhaize was unrelated to the Blue Yonder hack.
The new funding brings Amazon's total investment in Anthropic to $8 billion, while maintaining the e-commerce giant’s position as a minority investor, according to Anthropic. The partnership was launched in 2023, when Amazon invested its first $4 billion round in the firm.
Anthropic’s “Claude” family of AI assistant models is available on AWS’s Amazon Bedrock, which is a cloud-based managed service that lets companies build specialized generative AI applications by choosing from an array of foundation models (FMs) developed by AI providers like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself.
According to Amazon, tens of thousands of customers, from startups to enterprises and government institutions, are currently running their generative AI workloads using Anthropic’s models in the AWS cloud. Those GenAI tools are powering tasks such as customer service chatbots, coding assistants, translation applications, drug discovery, engineering design, and complex business processes.
"The response from AWS customers who are developing generative AI applications powered by Anthropic in Amazon Bedrock has been remarkable," Matt Garman, AWS CEO, said in a release. "By continuing to deploy Anthropic models in Amazon Bedrock and collaborating with Anthropic on the development of our custom Trainium chips, we’ll keep pushing the boundaries of what customers can achieve with generative AI technologies. We’ve been impressed by Anthropic’s pace of innovation and commitment to responsible development of generative AI, and look forward to deepening our collaboration."