Hal Varian (Google Chief Economist) – Bots and Tots (Feb 2020)


Chapters

00:00:00 Generous Gift Enables Innovative University Research Center
00:02:24 Bots, Tots, and the Future of Labor
00:08:47 Tasks, Jobs, and Automation
00:14:08 Automation Challenges in Non-Standardized Environments
00:18:49 Automation, Employment, and the Future of Work
00:26:43 The Future of Work: More Jobs, Less Work
00:30:22 Cognitive Assistance: Enhancing Employability through Technology-Enabled Skills Acquisition
00:34:58 Demographic Trends and Labor Force Challenges
00:39:19 Demographic Shifts and Economic Implications
00:43:55 Demographic Shifts and the Future of Labor
00:53:53 Changing Land Markets Through Migration and Immigration
00:56:10 Future of Labor: Growth, Wages, and Education

Abstract

The Future of Work: Automation, Demographics, and the Evolving Labor Market

The convergence of rapid technological advancements and significant demographic shifts is transforming the landscape of the labor market. These intertwined dynamics include automation, AI, aging populations, and changing labor force participation rates, as highlighted by Hal Varian, keynote speaker at the inaugural workshop on Mind and Machine Intelligence at UCSB. Varian, a renowned economist, emphasized how these factors are reshaping job structures and altering the supply of workers, leading to profound implications for employment and the broader economy. This article delves into these complex interactions, exploring how industries and occupations are adapting, the role of education and training in this new era, and the economic and social consequences of these shifts.

Introduction:

The Inaugural Workshop on Mind and Machine Intelligence at UCSB convened experts to explore the convergence of humans and machines. Hal Varian, founding dean of Berkeley’s Information School and chief economist at Google, presented a keynote address on automation, demographics, and their impact on the labor market.

Interplay of Automation and Demographics

Hal Varian at the UCSB workshop illuminated the intertwined influence of automation and demographic changes on the labor market. Automation, spanning robotics and AI, is altering the demand for human labor. Concurrently, demographic shifts, notably aging populations and evolving labor force participation patterns, are reshaping labor supply. The 20th century saw demographic trends like the baby boom and increased women’s labor force participation, simplifying worker recruitment. However, the current demographic landscape, characterized by baby boomers retiring and a plateau in women’s participation, poses fresh challenges for employment and wage dynamics in the 21st century.

Technology and Job Transformation

The technology’s impact on professions is complex. The advent of spreadsheets, for instance, reduced the need for bookkeepers while elevating the demand for accountants and analysts. This illustrates a key concept: automation primarily affects individual tasks within jobs rather than entire jobs. Most jobs are composed of various tasks, making it impractical to automate them entirely. Consequently, technology tends to augment rather than replace human labor, leading to a redistribution of tasks across different job categories.

Standardization and Automation’s Efficacy

The effectiveness of automation is closely linked to the standardization of tasks. Industries with uniform, repetitive tasks, like automobile manufacturing, have successfully implemented automation. In contrast, sectors with less standardized tasks, such as gardening or hotel housekeeping, encounter significant obstacles in automating processes. Designing work environments to foster standardization, as seen in orchards or capsule hotels, can ease the integration of automation technologies.

Evolution of Automation: From Assembly Lines to Specialized Tasks

Standardization significantly enhances robots’ efficiency in repetitive task environments. Henry Ford exemplified this by adopting techniques from meat packing plants to optimize assembly lines. Typically, repetitive tasks on assembly lines, being less desirable, command higher pay. Conversely, in varied conditions like gardening, standardization, and hence automation, is challenging. However, environments like orchards or capsule hotels that exhibit high standardization are more conducive to automation. In agriculture, automating the harvesting of robust crops like corn and wheat is relatively straightforward. Yet, delicate fruits like peaches and grapes present greater challenges due to their fragility, though advancements in robotics are gradually overcoming these obstacles in standardized settings.

Implications of Automation on employment and work structure

Modern robots, unlike their humanoid counterparts in media, perform unique tasks distinct from human methods, such as washing machines employing specialized cleaning techniques. Automation predominantly replaces routine and manual tasks, while non-routine cognitive and manual tasks are on the rise. Henry Ford’s emphasis on standardization in mass production made manual fitters redundant. Elon Musk at Tesla highlighted the limitations of over-automation, pointing out the necessity of human adaptability in complex tasks, especially where standardization is lacking. The proportion of tasks and jobs that can be automated varies, with service-related occupations being highly susceptible. This shift is influencing productivity and work-life balance, evident in countries like the Netherlands, which embrace shorter workweeks.

Evolving Nature of Work

The evolution of work reflects a shift towards non-routine cognitive and manual tasks, with routine manual tasks increasingly automated. Elon Musk’s experiences at Tesla demonstrate the delicate balance between human and machine labor, where excessive automation without adequate standardization proved inefficient. The extent of task and job automation varies, with service occupations particularly prone to automation. This evolution affects productivity and work-life balance, as seen in the Netherlands, which has implemented shorter workweeks.

Education, Training, and the Labor Market

The shifting job landscape underscores the growing importance of education and training. Aspects like flexible time, four-day work weeks, and the role of technology in job creation and reducing work hours are becoming more pertinent. YouTube’s instructional videos exemplify technology’s potential to aid skill acquisition and complement traditional educational methods. While teachers remain essential for guidance, online resources provide substantial support. The link between higher education and employment prospects is increasingly evident in this tech-driven economy.

How Technology Can Transform Education and Make People More Employable

YouTube’s vast library of instructional videos, receiving over a billion views daily, covers an extensive range of subjects. These videos offer accessible, anytime instruction and educational content, with YouTube continually improving its organization and guidance to educational material. Educational institutions often overlook YouTube’s wealth of knowledge. Students can use these videos to supplement lectures or enhance their understanding of various topics. Platforms like Khan Academy offer comprehensive content in subjects ranging from early mathematics to computer science. Individuals can virtually attain a computer science degree using these resources. YouTube also provides practical guides on manual skills like welding and plumbing, enabling individuals to acquire marketable skills. Technology is altering job requirements, rendering many traditional skills less critical. Cognitive assistance provided by technology, akin to manual assistance during the Industrial Revolution, enables individuals to more easily acquire skills and adapt to changing job demands.

Demographic Trends and Economic Implications

Major demographic trends affecting the labor market include the aging population and declining labor force participation rates. Regions with younger populations, such as Nevada and Utah, are better positioned to cope with worker shortages. The migration of workers from areas lacking healthcare facilities and the global aging phenomenon pose significant challenges. Countries with aging populations are heavily investing in robotics to counteract the effects of dwindling labor forces. Economic factors, including childcare costs, contribute to low birth rates, affecting workforce dynamics.

Aging Populations and Economic Implications

The aging population in developed countries, particularly in the upper Midwest, has resulted in a worker shortage. This exodus of workers, coupled with an increased demand for healthcare services, threatens the survival of towns without hospitals. Hospitals are crucial economic anchors in many regions, not only providing healthcare services but also supporting employment and generating revenue through various insurance sources. As people retire, they continue to consume, necessitating a more productive labor force. The U.S. is somewhat better positioned demographically compared to other developed countries with aging populations.

Global aging trends present demographic challenges in countries like Japan, Taiwan, Korea, Italy, Germany, and Eastern Europe, while India and sub-Saharan Africa have young, growing populations. These differing demographic profiles offer opportunities for mutually beneficial trade between aging and younger economies. China faces a unique challenge with a shrinking labor force due to past demographic policies, prompting significant investments in robotics and AI.

In the U.S., fertility rates have fallen to record lows post-recession, and the birth rate has not rebounded despite economic recovery. This declining fertility exacerbates the challenges of an aging population.

Policy Responses and Future Directions

To address demographic challenges, innovative policy responses are required. Practices such as the Netherlands’ 29-hour workweek and tax benefits for working retirees provide models to mitigate the impact of aging populations. Education should focus on skills relevant in a technology-driven economy, such as statistics and coding. As the world navigates competition and geopolitical complexities, adapting policy to unpredictable disruptions becomes crucial.

The Impact of Demographics and Automation on the Labor Force:

Economic factors, including financial instability and expensive childcare, are primary reasons for low birth rates. Countries with aging populations are investing heavily in industrial robots to maintain production efficiency, with China, Japan, South Korea, and Germany being leading investors in automation. Demographic impacts on the employment-to-population ratio are expected to be more significant than those of automation over the next decade. Healthcare costs are projected to increase as the retiree population doubles by 2060.

Automation should not be analyzed in isolation but considered alongside demographic changes for a comprehensive understanding. The Netherlands’ successful implementation of a 29-hour workweek helps retain employment during recessions and promotes work-life balance. Adopting similar approaches in the U.S., like not taxing retirees’ benefits, could be beneficial.

Innovative Policies and Migration Patterns:

Japan’s policies to make older workers more attractive to employers and employees could serve as a model for other countries, including the U.S. Migration and immigration significantly impact land markets and recruiting. Companies are moving beyond traditional hubs like Silicon Valley to more livable locations with a high quality of life and affordable costs, such as Portland, Provo, Denver, Boulder, Ann Arbor, and Pittsburgh. Santa Barbara faces challenges similar to Silicon Valley, with a high cost of living affecting its appeal.

The Impact of Automation on Inequality, Growth, and Education:

Hal Varian asserts that growth is key to addressing inequality, and technology adoption and effective education should benefit all societal groups. He draws parallels between historical labor shortages and current trends, suggesting rising wages as a potential positive outcome. Varian acknowledges concerns about diminished cognitive skills due to automation, emphasizing the need for education to focus on skills complementing automation. Updating school curriculums to include more relevant subjects like statistics and coding is vital. Additionally, external factors like international competition and geopolitical issues influence economic decision-making, requiring adaptable policies based on ongoing developments.


Notes by: Random Access