James Bohnaker is an associate director with IHS Markit, headquartered in London. IHS Markit provides information, analytics, and solutions to major industries and markets worldwide, including more than 50,000 business and government customers in 140 countries.
The global financial crisis triggered by the collapse of Lehman Brothers in September 2008 ushered in a new era of monetary policy making. Central banks across the globe—such as the U.S. Federal Reserve and the Bank of England—slashed interest rates and invented new ways to inject stimulus into their economies. Although the scars of the crisis are still evident, the global economy is far healthier now than it was ten years ago, thanks in large part to actions taken by central bankers. The recession would have been far worse without their aggressive and harmonized monetary response.
Now ten years removed from entering crisis management mode, policymakers must figure out if (and how) they wish to undo these extreme measures to mitigate some of their unwanted side effects. Doing this would have the benefit of preventing inflation, impeding financial bubbles from developing, and making it easier for central banks to soften the damage in future crises. The trade-off is that it makes it costlier to finance business investments and consumer purchases, which has a negative impact on economic growth and international trade.
Article Figures
The Federal Reserve is leading major central banks in raising interest ratesEnlarge this image
Essentially, the question for policymakers boils down to whether they can remove stimulus without significantly reducing demand for goods and services. The answer to that question will vary greatly for different economies, given the uneven nature of their recoveries and an assortment of risks that must be taken into consideration. Nevertheless, those decisions will have a profound influence on global trade flows over the next few years. Aggressive removal of stimulus could ground trade to a halt, but maintaining low interest rates for too long could stir up even bigger problems down the road.
Fed makes the first move
The U.S. recovery has outpaced those of other advanced economies, and so it is further along in its efforts to normalize monetary policy. From 2015 to 2017, the Federal Reserve (Fed) raised interest rates in irregular intervals and only by small amounts. However, in 2018 as U.S. economic growth accelerated, the Fed began raising interest rates more steadily and at more predictable intervals. (See Figure 1.) Heading into 2019, the Fed intends to raise interest rates further. Interest rates are now more than halfway back to what the Fed considers neutral—a rate which is neither restrictive nor accommodative of economic growth. The Fed has also backed off its commitment to keep rates low for an extended period and has begun winding down its balance sheet assets, selling off some of the assets and bonds that it bought in the recession. Both of these actions will contribute to tighter financial conditions.
What the Fed's path should be going forward is more difficult to handicap, given questions about how much further the economic expansion has room to run. The Trump administration's fiscal stimulus measures—tax cuts and additional government spending—are designed to have their peak impact on economic growth in 2018. By late next year, these measures will no longer be supporting growth, andthe U.S. economy will be more vulnerable to higher interest rates.
This may create a policy "fork in the road," at which point the Fed must decide whether to prioritize lengthening the expansion or fending off inflation. Inflation is currently relatively muted, but labor market tightness and tariff-induced price pressures should have a larger impact next year. On the other hand, the recent surge in financial volatility—a de-facto tightening of financial conditions—threatens to slow global growth (and therefore U.S. growth) on its own if it persists in 2019. This balancing act may create some policy uncertainty with spillover effects into the rest of the global economy.
Brexit uncertainty remains elevated
The Bank of England (BOE) followed the Fed's lead in the aftermath of the global recession by slashing interest rates, engaging in quantitative easing (or buying large amounts of government bonds and other financial assets to stimulate the economy), and introducing forward guidance (or communications about what their future monetary policy will be) to keep rates low for an extended period. In early 2016, it looked as if the BOE was poised to follow the Fed's lead on raising interest rates, but that prospect became increasingly uncertain after the 2016 referendum in which the United Kingdom voted to separate from the European Union (EU). The uncertainty caused by Brexit prompted the BOE to temporarily lower rates instead of increasing them. However, since late 2016, the U.K. economy has lowered its unemployment rate and managed enough growth to warrant slightly higher interest rates.
In recent months, however, the U.K. economy has taken a turn for the worse, and there remains a heightened amount of uncertainty about ongoing Brexit negotiations. The possibility that the U.K. and the EU might fail to strike a deal that would smooth the U.K.'s departure presents daunting downside risks. Firms would face new trade tariffs, potentially severe cross-border delays, and disrupted domestic supply chains, prompting the delay or cancellation of investment projects. In addition, the household economy would be hit via substantial losses in real income and wealth. This uncertainty creates a headache for the BOE, which cannot reasonably commit to raising interest rates until there is resolution regarding post-Brexit relations. As such, monetary policy will likely be on hold in the U.K. until the Brexit deadline in late March.
Baby steps for Europe and Japan
The European Central Bank (ECB) and the Bank of Japan (BOJ) took even more extreme measures to combat their sluggish economic recovery; they have been operating with negative short-term interest rates for several years (meaning that depositors must pay to keep their money in the bank). Now, each finds itself in a similar situation to the BOE—ready to begin removing accommodation but unable to do so with confidence, given the numerous economic and political risks.
Marking a significant step toward normalizing monetary policy, the ECB announced in June its intention to cease new asset purchases at the end of 2018. While the bank is likely to follow through with this commitment, there is a high degree of uncertainty as to when (or if) interest rates will rise. The bank has committed to keeping rates low until at least late 2019. Even then, the economy and risk profile would have to improve for policymakers to feel comfortable tightening monetary policy in a gradual manner. Economic expansion—which ECB chief Mario Draghi described one year ago as having "unabated growth momentum"—has lost steam recently, coinciding with rising tensions over the Italian budget standoff and deteriorating financial markets conditions, in addition to heightened uncertainty over a U.K. exit.
The ECB is in the unique situation of having to manage the outlooks of member countries with very different vulnerabilities. Germany's heavy reliance on exports, for example, makes it somewhat more exposed to shocks that erode global trade flows (such as protectionism), while a country like Italy is more susceptible to exchange rate swings and financial market gyrations due to its precarious budget situation. The types of threats that emerge over the next year will have varying impacts on euro countries, which makes it difficult to tease out a clear outlook for monetary policy by the ECB. The most likely scenario is one in which the ECB errs on the side of being cautious, opting to keep policy accommodative for longer given the numerous risks.
The BOJ is even further away from normalizing policy. The bank is expected to maintain yield-curve control for Japanese government bonds, which involves keeping its 10-year government bond yield at zero to raise the profitability of banks. It is also expected to keep its negative interest rate policy with aggressive monetary easing (or boosting of the supply of money) to achieve its 2-percent inflation target. However, modest inflationary expectations and delays in structural reforms will hinder the attainment of that target. It will be years until BOJ raises interest rates above zero, as the risks of slow economic growth are greater than the threat of inflation for Japan at the moment
China balancing stability and growth
China's economy has seen a similar slowdown in 2018 as it endures some growing pains during the transition toward a more service-based economy. The previously announced hike in tariff duties on US$200 billion in exports to the U.S. has been delayed for at least 90 days, a good sign that trade talks are becoming less hostile. Still, uncertainty about trade policy has led to dampened export orders for some Chinese goods. Additionally, tighter government financial supervision and regulation has slowed fixed investment, notably infrastructure and real estate investment. As growth slows, the government is shifting its policy balance toward growth support. In addition to fiscal measures taken by Beijing—including personal income tax cuts and export tax rebates on selected products—the People's Bank of China (PBOC) has chipped in by reducing banks' reserve requirement ratio. PBOC is likely to maintain a balanced or slightly accommodative stance in the near term so long as the yuan does not weaken significantly against other currencies. Although the tariff rate increase has been delayed, the risk of trade war escalation will be a key determinant in PBOC policy, and those developments are very much uncertain at this point.
Emerging markets fighting off currency depreciation
Rising interest rates in the United States have led to a much stronger U.S. dollar, which has put intense downward pressure on exchange rates for emerging-market currencies. Some of the emerging-market woes are also homemade, including poor governance, lack of structural reforms, increased political uncertainty, and a piling-up of debt, both in foreign and domestic currencies. These problems will get in the way of strong autonomous rebounds in emerging markets and developing countries (which account for about 40 percent of global gross domestic product). Emerging market central bankers will have a tough and unpredictable road ahead as they look to stem capital flowing out of their economies and currency depreciation, while also supporting growth.
Multiple forks in the road
The various challenges facing central bankers make for a highly uncertain policy landscape as the global economy enters the latter stages of expansion. Economic growth is due to slow, so policymakers must be careful not to remove accommodation too abruptly and cause a downturn. At the same time, there is good reason to believe there are benefits to be gained from returning to conventional monetary policies. Further muddying the path toward normalized policy is the elevated nature of global geopolitical risks that have developed recently. This raises the possibility that policy may unexpectedly deviate from its expected path, which could make for some disruptive financial market volatility over the next few years. This alone should not cause a big shock to the real economy, but it elevates the importance of policy choices that are made in response. As such, monetary policy will play a crucial role in determining the relative performance of global economies, and in turn, the manner in which the global supply chain adapts to shifts in demand.
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."