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1. Exporting out of China or out of Africa? Automation versus Relocation in the Global Clothing Industry

Author:
Tilman Altenburg, Xiao Chen, Wilfried Lütkenhorst, Cornelia Staritz, and Lindsay Whitfield
Publication Date:
01-2020
Content Type:
Special Report
Institution:
German Development Institute (DIE)
Abstract:
The Discussion Paper examines the opportunities that the rising industrial wages in China will bring for Africa. China has been the industrial workbench of the global economy for decades. However, its competitive advantages are waning, particularly for labour-intensive assembly activities in the clothing, shoe, electronics and toy industries. The Chinese government estimates that up to 81 million low-cost industrial jobs are at risk of relocation to other countries - unless China can keep the companies in the country through automation. Against this background, three complementary studies were carried out. The first examines where the automation technology for clothing and footwear production stands today; the second, how clothing companies in China deal with the cost pressure: to what extent they automate, relocate within China or abroad and how great is the interest in Africa as a production location. The third part is devoted to Africa’s competitiveness in clothing assemly, with empirical findings from Ethiopia and Madagascar. The Discussion Paper shows that the manufacture of clothing can already be robotized today, but that for sewing, robotization will probably remain more expensive than manual labor in the next 15-20 years. China’s companies are investing heavily in the automation of all other production processes and at the same time shifting production to neighbouring Asian countries. In Africa, only Ethiopia is currently competitive in the manufacture of clothing, and here too there are significant institutional difficulties in absorbing large amounts of direct investment.
Topic:
Industrial Policy, Labor Issues, Foreign Direct Investment, Exports, and Automation
Political Geography:
Africa, Europe, Germany, Ethiopia, and Madagascar

2. Sustaining the Undersea Advantage: Transforming Anti-Submarine Warfare Using Autonomous Systems

Author:
Bryan Clark, Seth Cropsey, and Timothy A. Walton
Publication Date:
09-2020
Content Type:
Special Report
Institution:
Hudson Institute
Abstract:
Submarines have posed a challenge to naval forces for more than a century, enabling weaker maritime powers to launch surprise attacks ashore or cut an opponent off from the sea. But submarine threats, and the difficulty of countering them, increased substantially for the United States and its allies during the past decade. The Chinese People’s Liberation Army Navy (PLAN) is modernizing its fleet with conventional air-independent propulsion submarines (SSPs) that support its broader sensor and weapon networks. It is also fielding nuclear-powered attack submarines (SSN) and ballistic missile submarines (SSBNs) capable of longer or more distant deployments. New generations of Russian Federation Navy (RFN) SSNs are difficult to track and could be employed for conventional or nuclear strikes during a conflict. Both countries are augmenting their submarine fleets with large autonomous underwater vehicles (AUVs) incorporating submarine like capabilities. Modern submarine technology has also proliferated, with the North Korean and Iranian navies using submarines and AUVs to level the playing field with their larger regional competitors and the United States. Unfortunately, the current US and allied approach to antisubmarine warfare (ASW) is unlikely to cope with the probable scale of undersea threats in a crisis or conflict. US Navy ASW concepts rely on fixed seabed sensors such as the Sound Surveillance System (SOSUS) or Surveillance Towed Array Sensor System (SURTASS) ships to detect and initially track submarines. Multiple maritime patrol aircraft and guided missile destroyers (DDGs) then track each adversary submarine before potentially passing it to an SSN for longerterm surveillance. This approach works when opposing submarines deploy infrequently but is likely to break down during a large-scale submarine deployment or as submarines become quieter and harder to track. When manned platforms and expendables such as sonobuoys or torpedoes run out or are needed elsewhere, ASW operations will necessarily collapse to a defensive strategy protecting high-value targets, instead of suppressing enemy submarine operations closer to the adversary’s waters. This may result in unlocated adversary submarines operating in the open ocean, where they could threaten US and allied shipping and maritime operations.
Topic:
Defense Policy, National Security, Science and Technology, Military Affairs, Maritime, Automation, and Submarines
Political Geography:
China, Asia, North America, and United States of America

3. The Machines Are Not So Easy to Ride: Another Take on Automation

Author:
Bright Simons
Publication Date:
03-2019
Content Type:
Working Paper
Institution:
Center for Global Development
Abstract:
In 1981, a former sheep farmer took a one-week crash course in computing, had an epiphany, and teamed up with a car tyres millionaire to form DJ AI. DJ AI announced a new artificial intelligence platform for sale at $600 that could build computer programs for customers. They named their game-changer “The Last One.” All users had to do was follow a set of screen menus, plug, and play, and bingo, they could do away with all those pesky system administrators and programmers. $6 million was spent marketing this powerful piece of magic on both sides of the Atlantic, sometimes to comic effect. Such dreams of software building software, literally cutting out the middleman, have recurred regularly since the 1960s in peaks and troughs, but we are still waiting. From the late 90s onwards, however, new data-driven approaches to automation, particularly so-called deep learning, and the involvement of many of the world’s smartest and most loaded companies, have begun to convince many level-headed analysts that this time it is going to be different. The technologies, we are told, can learn, and so it is about time we paid critical attention to the pace at which they are already and could even further turn upside down the world of work as we know it. Some of the most elegant attempts to evaluate and categorise the impact of these new capabilities on employment and income inequality can be found in papers by David Autor and his co-authors on labour market polarisation and the effect of computerisation on the market demand for skills. More than a decade after these papers were written, their core ideas and the schemas they proposed continue to inspire the framing of the issues in influential circles, making them the most cited in their writers’ corpus. The Economist is right to describe Autor’s seminal work as enormously influential. The elegance and rigorous use of data in these two persuasive treatises are not, however, enough to prevent one major convenient generalisation from weakening their key arguments. The generalisation in question emanates from the conflation of several different patterns of computerisation with “automation,” the replacement of human actors in the chain of work, which is then used as a proxy for technology diffusion and infusion into various modes of work, following in a tradition that also encompasses Goldin and Katz’s equally elegant formulation of the automation question as one of a contention between returns to skills versus returns to algorithms. Having taken “automation” as the predominant form in which modern technology manifests itself in the workplace, Autor and his collaborators then proceed to construct a spectrum of possibilities for technology’s infusion: complement, substitute, or bypass (CSB). In the CSB paradigm, modern technology in the workplace tends to complement super-skilled, high-earning, workers, in complex, adaptive, operations, thereby boosting their productivity and bargaining power; substitute for the contribution of most medium-skilled workers in many routine tasks, thus depressing their wage potential; and bypass low-skilled workers, such as drivers, waiters, and janitors, thus rendering their fate somewhat indeterminate even if their numbers grow. It is not difficult to see why Autor et al.’s extensive use of crosswalking across census-based industrial classification schemes and the Dictionary of Occupational Titles should encourage this neat stratification. Once something is coded, it acquires a hardness that confers rigour and opacity.
Topic:
Science and Technology, Automation, and Emerging Technology
Political Geography:
Global Focus

4. Automation and a Changing Economy: Policies for Shared Prosperity

Author:
Alastair Fitzpayne, Conor Mckay, and Ethan Pollack
Publication Date:
04-2019
Content Type:
Working Paper
Institution:
Aspen Institute
Abstract:
Part I of this report, Automation and a Changing Economy: The Case for Action, explores how automation has impacted and will continue to impact the economic security and opportunity of the American worker. But technology is not destiny. The impact of innovation on the American worker is mediated by policies and institutions. We can choose to create an economy that: promotes technological progress; prepares workers to take advantage of the opportunities technology presents; supports those who are negatively impacted by automation return to stable work; and shares technology’s gains more broadly. These goals are achievable with the right support, but the policy structures currently in place are inadequate. This part of the report, Automation and a Changing Economy: Policies for Shared Prosperity, outlines a policy agenda for addressing these challenges and opportunities. Doing so requires an all-of-the-above approach, from targeted, specialized interventions to those with systems-level impact; from place-based policies to national-level reforms to safety net programs. The paper identifies four objectives that guide its recommendations
Topic:
Science and Technology, Labor Issues, Automation, and Job Creation
Political Geography:
Global Focus

5. Automation and a Changing Economy: The Case for Action

Author:
Alastair Fitzpayne, Conor Mckay, and Ethan Pollack
Publication Date:
04-2019
Content Type:
Working Paper
Institution:
Aspen Institute
Abstract:
Technology fuels our economy, captures our collective imaginations, and promises extraordinary possibilities. It permeates almost all aspects of our lives. From electrification and the internal combustion engine, to search engines and smartphones, technology has changed how we travel, access information, buy products, and communicate with each other. As technology changes our personal lives, it also changes work. For generations, economic change has replaced products, jobs, and industries with innovative new models. The American economy has transitioned from agrarian to industrial, service to digital, and with each evolution, America has prospered even as it grappled with the profound challenges of change. The American ideal embraces the promise that economic progress can create an inclusive society in which prosperity is broadly shared. Work is more than simply a way to earn a living. It gives structure, dignity, and purpose to our lives. For this reason, workers should not be treated as a cost of doing business but recognized for their productivity and creativity. For too many Americans, the promise of work is not being kept. New technologies are creating great wealth for some, but we are simultaneously experiencing historic income and wealth inequality. Without robust policies and strong institutions, new innovations risk exacerbating the economic insecurity and political and civil divides that we are experiencing today. Emerging technologies, including artificial intelligence, machine learning, and advanced robotics, have the potential to automate many tasks currently performed by workers. Historically, automation has been an important ingredient driving economic growth and progress. Automation has enabled us to feed a growing population while allowing workers to transition from subsistence farming to new forms of work. Automation helped move us from a craft system to mass production, from blue-collar to white-collar to “new-collar” work—with better work, higher wages, more jobs, and better living standards. Similar to past innovations, these new technologies offer the potential to help us meet human needs while supporting new jobs and industries never before imagined. However, automation can also have negative effects on individuals and communities. Those who lose their jobs suffer economic, social, and psychological hardship. Communities that relied on single industries that have been automated have struggled to recover. New jobs are being created, but their geographic distribution and skill requirements often make them inaccessible to the individuals and the communities where those whose jobs were lost. This dislocation has played a role in exacerbating America’s economic, political, geographic, and social divides. The answer to the dislocations that can result from automation should not be to stifle innovation. Policies and reforms should encourage both the development of new technologies and the promise of work. Workers need access to the opportunities technology creates. Policymakers and employers can help by providing access to skills training, ensuring the availability of good jobs, and improving the systems that are in place to help those who will transition from declining to growing occupations. While there are many unanswered questions about what the future holds, this report attempts to explain how automation impacts the labor market and how to better prepare American workers to benefit from the changes to come.
Topic:
Economics, Science and Technology, Labor Issues, Automation, and Job Creation
Political Geography:
Global Focus

6. The Future of Work 2.0: Navigating the Transition to New Possibilities

Author:
Aspen Institute
Publication Date:
05-2019
Content Type:
Working Paper
Institution:
Aspen Institute
Abstract:
Today’s leading businesses are dealing with a changing work environment that goes beyond artificial intelligence and robots. Instead, it encompasses the work machines and humans will do together. This report of the 2018 Roundtable, written by David Gibson, explores the Future of Work 2.0—focusing on how all stakeholders can realize the opportunities and possibilities of automation in the work landscape. It features a robust discussion on education, business structures, models of employment and leadership philosophies.
Topic:
Science and Technology, Communications, Employment, and Automation
Political Geography:
Global Focus