Global economic outlook appears brighter as risks recede
Though 2016 brought much that was unexpected to the global economic and political landscape, many of the risks that were looming over the near-term outlook have receded.
After years of economic crises and recessions, the global economy in 2017 seems finally to be firing on all cylinders. It took a long time to get to this point, but this year—for the first time since 2007—all 35 countries in the Organization for Economic Co-operation and Development (OECD) are growing. What's more, nearly three-quarters of them are seeing their growth accelerate.
The BRICs (Brazil, Russia, India, and China) are looking sturdier than in the past: Brazil exited a two-year recession in the first quarter, and Russia, which had seen its gross domestic product (GDP) decline in year-on-year terms for seven consecutive quarters, pushed GDP up past its year-ago level in the fourth quarter of 2016. (See Figure 1.) Meanwhile, China, which has been on a decelerating path, is seeing a modest growth spurt in 2017, with growth likely to outpace that of the previous year for the first time in seven years. The long-troubled European Union is on solid economic footing, with an unemployment rate in June at the lowest level since February 2009. With all of these positive forces in play, the global economic growth rate this year is likely to be the fastest it has been since 2011.
Policy risks recede
Economic stability is never the only story, however, and for parts of 2016, it was looking like political developments were poised to spill over into the economic punch bowl. In June of 2016, voters in the United Kingdom shocked the world when a majority unexpectedly voted in favor of leaving the European Union (a decision popularly known as Brexit). This was followed by the U.S. election of Donald Trump in November 2016. Both moments represented the victory of protectionist, anti-immigration, anti-globalist movements, leading some to wonder whether more countries would soon follow—and whether the EU's very existence was under threat. Such outcomes normally dampen growth; notwithstanding their effect on the economies of particular countries, protectionist trade regimes and other trade barriers are commonly understood to inhibit global economic activity.
But in the wave of elections that followed, nationalism seemed to lose momentum. That December, in Austria, Alexander Van der Bellen, a pro-European liberal, was elected president in a convincing victory over the right-wing candidate Norbert Hofer. In March 2017, the Dutch parliamentary election, viewed as a referendum on the far-right populism championed by firebrand Geert Wilders, resulted in the continued majority of center-right Prime Minister Mark Rutte's party. In May, French centrist Emmanuel Macron, at the head of a party (En Marche) founded only one year before, defeated right-wing nationalist Marine Le Pen in a presidential run-off election, and En Marche followed this up in June parliamentary elections by securing a substantial majority of seats. A June snap election called by U.K. Prime Minister Theresa May, far from strengthening her Conservative Party's position, resulted in the loss of its majority, an outcome that could lead to a "softer" Brexit. In the same election, the U.K. Independence Party—whose major issue was championing the U.K.'s withdrawal from the EU—won zero seats. And in September, Angela Merkel won four more years as Germany's chancellor, although the insurgent right-wing AfD party showed new strength. Financial markets generally responded better to victories of pro-trade candidates; for example, when Macron was elected, the euro strengthened, while news of Brexit hit the value of the pound sterling hard.
Of course, the story of political risks to economic growth will never truly end. In Spain, a referendum on Catalonian independence was held in September, but its legitimacy was disputed by the Spanish government and international observers. The result was overwhelmingly pro-independence but was complicated by the nonparticipation of many voters who opposed independence. The ongoing disputes related to Catalonian independence—and the possibility that it would actually occur—are a significant risk to Spain's economic recovery. Looking forward, Italy's next general parliamentary election is slated to happen by May 2018. The degree of success of the anti-establishment, euroskeptic "five-star" movement will be seen as a measure of the public's appetite for a referendum on EU membership, a vote the movement has pledged to hold. And even as Brazil emerges from economic recession, it has landed back in political instability thanks to a corruption scandal. The saga, which has been ongoing for years, played a role in the country's recession and resulted in the impeachment and ouster of former President Dilma Rousseff. Her successor, Michel Temer, has been implicated in criminal charges. As the drama continues to play out, Brazil's recovery remains on shaky ground.
Engines of global growth
A look at the other BRICS, India and China, shows that China's GDP per capita of US$8,137 in 2015 stands in stark contrast to India's tally of US$1,629, despite the two countries' similar populations. (India is projected to surpass China in population in 2022.)
India and China have the two largest populations in the world. That, combined with brisk growth rates averaging 7.2 percent and 9.0 percent, respectively, over the last 10 years, has made them collectively responsible for more than 40 percent of the world's GDP growth over the past decade. Although each faces its own manner of challenges, their economic development has been key in reducing the global poverty rate (proportion of people who live on US$1.90 or less per day) from 35 percent in 1990 to below 11 percent today.
But in China, economic fundamentals are weak, and the country's economic structure includes major imbalances. In particular, consumer demand is suppressed thanks to a high propensity to save; China's financial system is relatively undeveloped and does not make it easy for private enterprises to borrow, resulting in a volatile "shadow" lending system; and Chinese policymakers are still trying to gradually unwind a real estate bubble without causing a "hard landing." China's growth has slowed for each of the last six years, in spite of repeated stimulus measures by the government, and we expect this trend to generally continue for the foreseeable future. But slowing growth in China's case is a symptom of "convergence," an economic concept that refers to countries that are behind in development growing at a faster pace than developed economies. Thanks to its earlier rapid growth, China is beginning the natural process of settling into the more sedate growth pace of a developed economy.
India, meanwhile, suffers from major underdevelopment of infrastructure. Reform efforts have produced disruption; in particular, the November 2016 demonetization, in which Prime Minister Narendra Modi's government suddenly recalled two major denominations of the rupee in a bid to impede tax evasion and counterfeiting, shocked consumer spending amid cash shortages. But this year has seen some promising signs on the reform front. Following more than a decade of negotiation, a unified goods and services tax came into effect in July 2017, replacing a slate of other taxes. The new rule eliminates instances of double taxation and slashes logistical and bureaucratic costs of compliance. If successful, the tax has the potential to improve India's competitiveness and accelerate development. And even though the demonetization measure produced disruption and lowered consumer spending in the short term, a subsequent landslide victory in 2017 for the ruling Bharatiya Janata Party (BJP) in Uttar Pradesh—India's biggest state—puts fresh wind in the sails of BJP's reform agenda.
While risks to the global economic growth outlook still exist, threats that seemed major just one year ago—including trade wars, instability in the EU, and a sharp Chinese economic contraction—now rate as outside possibilities. Barring war or panic, the stage is set for a good few years of broad-based international economic growth.
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."