The hype surrounding emerging markets that was prevalent in the 2000s seems to be winding down, much like Arab oil money in the 1970s, Japanese productivity of the late 1980s, and the "dotcom" bubble of the late 1990s. The claim that emerging markets were somehow destined to catch up to the United States has become questionable as these once booming economies enter the next phase of economic growth.
With the global economy struggling to regain traction, many emerging market economies are learning the hard way that they must deal with their own domestic political and economic obstacles to growth if they are to advance economically. Moreover, given that emerging markets are growing more slowly and are unlikely to reach the level of development of mature markets in the mid-term, supply chain managers will have to rethink their strategies for serving those markets.
The real GDP (gross domestic product) growth rate in the BRIC countries (Brazil, Russia, India, and China) has slowed considerably compared to the rate seen in the previous decade. Brazil's real GDP growth rate was just 1 percent in 2012, compared to an annual average of almost 4 percent from 2000 through 2008. According to IHS Global Insight, Russia's real GDP growth rate is likely to be 3.2 percent for the whole of 2013, with Russia's economic well-being more or less tied to the world's volatile oil markets. In the near term, moreover, Brazil and Russia, as well as a few other emerging markets outside of BRIC, are likely to grow at a similarly sluggish pace as the United States. (See Figure 1.)
A major indicator of this situation is that equity markets for emerging economies have trended downward over the past few years because expectations regarding economic growth have not been realized. While the Dow Jones Industrial Average (an index of stock performance among 30 leading U.S. companies) is breaking new records, the eurozone is entering deeper into recession. It is becoming clear that although the U.S. economy is still struggling to regain its growth momentum, it is probably the "prettiest pig at the fair"—in other words, the best of a group of somewhat unattractive options.
A tale of two countries
India and China have long been held up as examples of large, fast-growing economies, yet even they are faltering in some respects. India's real GDP growth rate is likely to be in the 5-percent to 6-percent range this year, after growing between 8 percent and 10 percent from 2003 to 2007. A growth rate of 5 percent will be considered stellar compared to recent U.S. growth rates or the recent performance of European economies. However, India's GDP per capita currently stands at US $1,500; contrast that with GDP per capita of US $49,600 in the United States and US $6,100 in China. India therefore is likely to experience what economists call the "Per Capita Problem": Any slowdown in an emerging market economy with low income or low GDP per capita will feel like a recession.
India's economy has made significant progress over the past couple of decades, yet a certain level of gloom has entered the national mindset since economic growth started to slow. The implication is that India's income per capita will not close the gap with China anytime soon. This could have significant consequences for India's population. Many economists believe that unless a country has a sufficient level of per-capita income before growth rates start slowing to levels approaching those of developed economies, declining growth will hinder the standard of living, especially if population growth is relatively strong.
China's outlook is somewhat stronger. Real GDP growth has averaged about 10 percent per year over the past 30 years, but even the Chinese Communist Party is now predicting slower growth in the range of 7 percent to 8 percent in the coming years. However, Chinese GDP per capita is more than four times that of India. In addition, China does not have India's low urbanization rates, extreme poverty levels, and strong population growth (India is expected to surpass China as the most populous nation by 2021).
Indeed, the People's Republic of China is the one emerging market that still seems promising. Still, certain economic questions loom large. According to several unofficial sources, total Chinese debt is anywhere from 150 percent to 200 percent of GDP; contrast that with the U.S. debt-to-GDP ratio of 300 percent to 350 percent. Additionally, China can no longer depend on getting as much GDP growth from issuing debt as it did 10 years ago.
As many emerging economies look inward for growth opportunities, they are finding that those opportunities are hard to come by. Most economies have a relatively high consumer-spending-to-GDP ratio; with very few exceptions, that ratio is expected to either be flat or decline over the next eight years. For BRIC as a whole it is expected to decline from 45 percent to 44 percent, while Chinese consumer spending is expected to gain share in GDP, up from 33 percent in 2010 to 37 percent in 2020. China can therefore look to its domestic consumers to help maintain GDP growth.
U.S. economy: Not so bad after all?
As the emerging market boom starts winding down and the eurozone digs deeper into recession territory, an interesting idea has emerged: In terms of economic performance, the United States is looking better than expected. The U.S. economy has its problems, but the country also has many positives that separate it from the economic and demographic woes of Japan and Europe.
Europe and Japan are losing their shares of global GDP. Emerging markets are losing steam, with most of the emerging market growth expected to come from China. What is surprising is that the United States has maintained and is expected to hold onto its share of global GDP. The underlying economic and demographic fundamentals of the U.S. economy are expected to continue to sustain that country's lead in the key areas of research and development as well as technological advances and their commercialization, and thus provide for a productive economy that can sustain continued economic growth.
For supply chain managers, the implications of these shifting growth patterns are significant. As the growth rate in emerging markets continues to slow, companies will have to readjust their supply chains from "growth" mode to "maintenance." It's likely, therefore, that supply chain managers will focus their efforts mostly on boosting efficiency rather than on growing revenue. They may also have to compensate for the slowing growth in emerging markets by capitalizing on the resiliency of the U.S. market.
Benefits for Amazon's customers--who include marketplace retailers and logistics services customers, as well as companies who use its Amazon Web Services (AWS) platform and the e-commerce shoppers who buy goods on the website--will include generative AI (Gen AI) solutions that offer real-world value, the company said.
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."