Maria L.C. Bertram is international trade consultant for Global Insight (www.globalinsight.com), which provides consulting services, data, and forecasts for more than 200 countries and many industries. Global Insight's trade & transportation practice specializes in consulting, data, forecasts, and analysis for global trade and transportation trends.
The fact that China's exports have been growing at astounding rates should hardly come as a surprise to anyone these days. What's less well known is that China's trading partners and its export commodities are changing. In response to those developments, new ocean shipping options are emerging to handle Chinese exports, especially to its largest trading partner, the United States.
On average, China's export tonnage grew at a rate of 10.2 percent annually between 1995 and 2005, reaching 417 million tons in 2005. Although the pace of export growth is expected to slow to a long-term annual average of 5.2 percent through 2025, Chinese exports are still forecast to exceed 1.1 billion tons by that year.
Many of China's exports are containerized; in fact, the country shipped out more than 20 million TEUs (twenty-foot equivalent units) in 2005. Growth in containerized exports, which include such commodities as apparel, office furniture, and toys, is expected to average 8.2 percent over the long term—a faster growth rate than that predicted for Chinese exports as a whole.
The expected tapering of China's export growth rates reflects an economy where foreign market penetration and sales are reaching more mature levels, despite the fact that gross domestic product (GDP) growth has been extremely strong in recent quarters. Regardless, China's sizzling economic expansion will decelerate considerably in the medium to long term because of anticipated weaker domestic growth in many trading partners' economies. Continued monetary tightening by China's central bank will also play a role in that deceleration.
Predictions of slower economic and export growth notwithstanding, China continues to experience an export boom on the back of the low cost of its products. Although some in the media have attributed this to an artificially low exchange rate for China's currency, the renminbi, the reason continues to be China's lax environmental policies and its aggressive use of available labor. China has also actively pursued trade agreements and overseas sourcing deals with developing countries in Africa and South America to ensure a steady flow of the raw materials it needs for export production.
Trading partners, commodities on the move
The United States has become China's largest export trade partner on the strength of its foreign direct investment in China and its growing demand for imported containerized goods. The United States, in fact, consumed 34 percent of China's containerized exports in 2005. So far this relationship has been reciprocal, with both countries playing critical roles in each other's economy.
In the years ahead, though, China will move away from reliance on the United States as its main export customer. Even though Chinese containerized exports to the United States are expected to grow from about 33 percent of all U.S. imports to around 50 percent by 2013, the relative importance of the U.S. market will decline somewhat from China's standpoint. Indeed, China has already begun seeking out new customers for its exports. Latin America (fueled primarily by Mexico) is buying a larger share of China's exports. In addition, one-third of the world's container trade takes place among Asian countries in the "intra-Asia" trade. Despite a diminishment in its relative importance, however, the United States will remain China's largest export partner for the foreseeable future (see Figure 1).
China's top containerized export commodities include furniture, metal products, apparel, plastic items, textiles, footwear, and other miscellaneous manufactured goods (such as toys and souvenirs). China began its manufacturing boom with the production of low-value products with low intellectual-property risk. It is just now approaching full market penetration for items such as footwear—walk into your nearest shoe store and you'll see for yourself. As China approaches market saturation in low-value goods and continues to gain manufacturing expertise, export production is moving up the value chain and penetrating new product areas. Over the next 20 years, exports of office and computing equipment, furniture, electrical goods, and semiconductors are expected to enjoy strong growth and will represent sizeable shares of China's exports (see Figure 2).
Shipping routes begin to shift
Even though China is expanding its trade with other Even though China is expanding its trade with other countries around the globe, the U.S. market is still expected to remain China's largest single export customer in the long term. Current forecasts see the United States importing nearly 34 million TEUs from China in 2025.
The shipping routes for U.S.-bound containers are expected to shift over time. While the majority of containers today (roughly 73 percent) travel from China to the U.S. West Coast, only a portion of that traffic actually remains on the West Coast to serve that market. The balance is transported inland by rail or truck. Population growth in the midwestern and southern United States will reinforce this trend. However, concerns over long-term rail capacity and toll increases imposed by the Panama Canal Authority to pay for the canal's expansion may change the way China's exports reach North America.
Some shipping lines are announcing new all-water services from Asia to the U.S. East Coast via the Suez Canal, while others are planning to take larger ships through an expanded Panama Canal. New and/or expanded port facilities in locations like Lázaro Cardenas and Punta Colonet in Mexico and Prince Rupert in Canada (which is two days closer to Shanghai than Los Angeles/Long Beach) will give carriers more options to maintain reliability, control costs, and serve North American markets effectively.
As purchasing power increases around the world and trade is increasingly liberalized, China is realizing that the United States is no longer the only game in town. Still, continued growth in the U.S. market's demand for Chinese exports is driving innovation in ocean shipping. Any new practices that develop will surely spread globally, promoting more trade among other countries.
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."