The U.S. economy in 2023 will start with weak demand met with mostly adequate inventories. Shippers can expect sufficient freight capacity and lower rates as well as improved distribution center and warehousing availability. While service providers have been adding capacity since late 2020, the situation will be as much a result of changes in demand as it will be due to increases in supply.
A combination of factors will lead to reduced demand in 2023 as the economy falls into a recession. These factors include inflation, consumer and business spending, inventories, and a U.S. Federal Reserve Board monetary policy focused on taming inflation. There are other factors also contributing to the baseline forecast of weakness in the economy and freight demand as we begin 2023.
Mild recession in 2023
The S&P Global Market Intelligence 2023 U.S. macroeconomic baseline forecast is now indicating a recession in the first two quarters with a recovery in growth in real gross domestic product (GDP) in the second half of the year. The resilience of the economy in the fourth quarter of 2022, with sustained employment and moderation in some energy prices, delayed the U.S. economy from falling into recession even as trading partner countries such as those in Europe were already in recession.
For the U.S., on an annual basis, GDP is projected to expand 0.3% from 2022 to 2023 but with the growth coming in the second half of the year after contraction in the first half. The pattern of quarterly U.S. GDP growth in 2022 was also for contraction in the first two quarters followed by growth in the third and fourth quarters. In 2023, the contraction in the first two quarters is forecasted to be greater than during 2022, and the recovery will not be as strong as second half growth was in 2022. The resilient spending of consumers in 2022 relied unsustainably on credit and drawn-down savings instead of stimulus payments as in 2021. Consumer spending is facing more headwinds as variable interest rates and interest rates on new credit continue to increase and inflation remains relatively high.
The recession forecast depends on an assumption that the U.S. Federal Reserve Board is going to maintain interest rate policy to slow demand enough to bring inflation down to its 2% target. The tightening of financial conditions takes time to work through the economy enough to reduce widespread inflation. Consequently, S&P Global Market Intelligence is forecasting that the Federal Reserve will further tighten monetary policy in the first half of 2023, keeping the economy in a period of soft demand.
Interest rate increases are reducing consumer demand by raising the cost of credit. For durable goods purchases, such as autos financed with loans or homes financed with mortgages, lender limits on consumers’ debt service-to-income ratios constrain the number of purchases that consumers can qualify for compared to a year ago. The rapid pace of mortgage rate increases in 2022 already led to a sharp downturn in single-family residential real estate markets, accompanied subsequently by a weakening in the associated furniture and home furnishings markets.
Interest rate increases also affect business, where higher costs of capital reduce firms’ capacities to afford new plant and equipment or even hold substantial safety-stock inventory. For some businesses already facing higher costs from inflation, increased capital costs can result in negative cash flow or even insolvency. Some new-entrant truckers who paid high prices for new equipment in the 2021 boom are particularly vulnerable in this higher-interest rate, lower-growth environment.
International trade to weaken
International trade is forecasted to slow in 2023 with the value of U.S. imported goods declining 1.2% for the year (compared with the 16.4% increase estimated for all of 2022 and the jump of 23.4% seen in 2021). The U.S. will still run a trade deficit, but it will shrink, as exports will not slow as much as imports. The 2023 pace of goods exported is forecasted to grow 1.4%, compared with the 19.1% growth estimated for 2022.
The economies of most U.S. trade partner countries, especially in the more advanced countries, will be in recession in 2023, which typically would weaken demand for U.S. exports overall. However, U.S. energy and agriculture exporters will continue to find good opportunities in global commodity markets disrupted by the Russian invasion of Ukraine. Despite the overall weakness in global trade demand, competitive U.S. exporters will help moderate weaker domestic demand. U.S. trade partner economic growth, measured as trade-weighted foreign GDP, is forecasted to slow from 3.1% in 2022 to 1.2% in 2023. S&P Global Market Intelligence generally characterizes world growth below 2% as a recession, as it is well below potential GDP growth.
The foreign central banks are also following the U.S. Federal Reserve Board in using monetary policy to fight inflation. Also affecting U.S. goods trade in 2023 is the lingering effects of COVID-fighting policies in some countries, especially mainland China, where relaxation of restrictive policies has only recently allowed supply chain disruptions to ease. Downside risks to the global forecasts remain, as new COVID-variant waves and the impacts from the war in Ukraine continue in 2023.
Weak U.S. freight outlook
Based on the projected demand for goods and inventory levels in our recession-and-recovery baseline forecast, we expect 2023 U.S. freight volumes to start weak and end the year stronger. The duration of the painful downturn is projected to be limited, where consumption and inventory rebuilding in the second half of 2023 will lead to demand and freight growth for the year as a whole. The S&P Global Transearch baseline forecast overall is for freight tonnage to increase 1.36% for 2023.
Not all freight modes have the same prospects, however. For rail, the range of 2023 tonnage growth is from a small 0.15% increase for rail carload tonnage up to a rebound of 2.9% for intermodal rail tonnage. The intermodal rail recovery is in comparison to 2022 when systemwide congestion and threats of a strike drove customers away. The baseline trucking demand forecast is for recovery by year-end, resulting in 2023 tonnage growth of 1.54%. Air cargo tonnage growth is forecasted slower than in recent years at 3.0% due to slowing e-commerce growth. The maritime baseline forecast includes the assumed recovery of water levels in the Mississippi River System, enabling a rebound of 1.4% in tons compared to suppressed 2022 levels. These Transearch modal freight tonnage forecasts for 2023 are summarized in Figure 1.
Forecast of U.S. 2023 freight tonnage growth by mode (%) Enlarge this image
For supply chain managers, the baseline freight forecast implies a return towards having market power. Expect softening freight rates, tempered by continuing elevated wage levels and high diesel prices, which will both raise the floor on operating costs. However, after almost three years of running at capacity and operational limits, freight markets will see constraints ease in 2023, especially in the first half of the year.
It is important to note that there does remain significant risks to these baseline forecasts, including potential impacts from policy decisions and/or new shocks, whether related to COVID or other 2023 market disruptions.
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."