Industrial production weakness in the United States has led to increased talk of a recession, but a deeper examination shows that this weakness is highly concentrated in energy and globally exposed sectors.
The recent weakness in U.S. industrial production has grabbed headlines and raised concerns about another recession. Indeed, with industrial production falling 0.5 percent in February—the fifth decline in the last six months—and with activity down 1.6 percent from last year, the latest industrial-sector data weren't encouraging. With that, capacity utilization has fallen to 75.3 percent, about 4.7 percentage points below its long-term average.
Where is this weakness coming from? There are essentially two sources. The first is energy; the second is "global headwinds."
With regard to energy, the sharp plunge in oil prices has been the main catalyst. As oil prices fell from US$100 per barrel in mid-2014 to around US$30 per barrel in early 2016, investment in the oil and gas sector contracted severely. The sector, which represented about 1 percent of the U.S. economy at the end of 2014, now represents just under 0.5 percent of gross domestic product (GDP). On its own, the drag from reduced oil and gas investment imposed a 0.4 percentage point drag on real GDP last year. Likewise, the drop in industrial production over the past 12 to 18 months has largely been due to reduced energy output (energy products, drilling, converted fuel, and primary metals). The subsector saw its output fall 10 percent from an early-2015 peak, bringing its share of total industrial production back to the 2009 level—prior to the boom in "unconventional energy," such as oil obtained through hydraulic fracturing.
The other key factor weighing on industrial production is often described as "global headwinds" in the form of a strong U.S. dollar and sluggish global demand. Indeed, the near 20 percent appreciation of the U.S. dollar has rendered U.S. exports more expensive, thereby weighing on final external demand. Simultaneously, the sluggish global growth environment, with emerging markets facing a gloomy outlook, has also weighed on U.S. export prospects.
Are we in an industrial recession?
A question on many minds right now is whether the United States has entered an industrial recession. The short answer is both yes and no. Based on the sometimes-abused definition of a recession being two consecutive quarters of contraction, we can say that industrial production indeed entered a recession at the start of 2015. While output rebounded in Q3 2015, it has since fallen back into contraction with a 3.25 percent decline (annualized) in Q4 2015 and another decline expected in Q1 2016.
Is this sufficient to conclude that the entire industrial production complex is in a recession? Not really. As described above, while nonenergy output has flattened, it is not declining. (Figure 1 shows a comparison of energy versus nonenergy-based production.) In fact, despite a number of weak months, manufacturing output has increased in seven of the last eight quarters, and the latest data show manufacturing production trending at a 1.1 percent year-over-year pace in February. More specifically, we find that the weighted sum of manufacturing subsectors contracting in February 2016 was "only" 32 percent—near cyclical lows—and well below the 50-percent threshold generally associated with economywide recessions. (See Figure 2.)
In other words, while some manufacturing sectors are struggling, others are not. With so much of the industrial weakness focused on the energy sector, it is not surprising that machinery is one of those hardest hit. The oilfield equipment collapse has only a limited direct impact since it comprises only about 6 percent of total machinery, but the indirect supply chain impact across other subsegments, such as pumps, motors, and material handling equipment, is more significant. Additionally, because of its high trade intensity (40 percent of output is exported), machinery suffers disproportionately from global headwinds—not only because of the strong dollar but also because equipment demand remains weak in the key European and Chinese markets.
Consumer-oriented sectors, meanwhile, have been more resilient. In the case of food and beverages, there has been a marked acceleration in activity—a direct result of low trade intensity and robust household consumption. Healthy consumer demand is also supporting U.S. automotive production, which, despite a small pullback in Q4, reached a 14-year high last year.
Outlook: Cloudy but not super-stormy
Outside of what appears to be sector-specific weakness in the industrial arena, the rest of the economy continues to display solid fundamentals. We continue to see strong employment growth, solid income growth, and resilient private sector confidence supporting private sector spending. Perhaps the most descriptive illustration of this resilience comes from the Institute for Supply Management's nonmanufacturing index, which appears firmly fixed around the 55 threshold for solid expansion. (See Figure 3.) Since the nonmanufacturing sector represents close to 90 percent of the U.S. economy, this is a good indication that overall the U.S. economy remains on solid footing.
After growing an average 2.9 percent in 2014, industrial production slowed sharply, growing only 0.3 percent in 2015, weighed down by weakness in the energy segment and global headwinds. However, while we expect output will contract in Q1 2016, we foresee subdued positive momentum through the rest of the year. In particular, we expect the drag from energy to become less severe and that an ongoing need or desire to replace the aging stock of industrial equipment will provide some cushion. Additionally, low oil and natural gas prices should support chemical production, which has started to see important investment in new facilities in the United States.
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."