Carl Benedikt Frey is a Swedish-German economist and economic historian. He is the Dieter Schwarz Associate Professor of AI & Work at the Oxford Internet Institute and a Fellow of Mansfield College, University of Oxford. He is also Director of the Future of Work Programme and Oxford Martin Citi Fellow at the Oxford Martin School. [1]
After studying economics, history and management at Lund University, Frey completed his PhD at the Max Planck Institute for Innovation and Competition in 2011. He subsequently joined the Oxford Martin School where he founded the programme on the Future of Work with support from Citigroup. Between 2012 and 2014, he was teaching at the Department of Economic History at Lund University. [2]
In 2012, Frey became an Economics Associate of Nuffield College and Senior Fellow at the Institute for New Economic Thinking, both University of Oxford. [3] [4] He remains a Senior Fellow of the Department of Economic History at Lund University, and a Fellow of the Royal Society for the Encouragement of Arts, Manufactures and Commerce (RSA). In 2019, he joined the World Economic Forum's Global Future Council on the New Economic Agenda, as well as the Bretton Woods Committee. [5] And in 2020, he became a member of the Global Partnership on Artificial Intelligence (GPAI) – a multistakeholder initiative to guide the responsible development and use of AI, hosted by the OECD. [6]
In 2013, Frey, together with Oxford professor Michael Osborne, co-authored “The Future of Employment: How Susceptible Are Jobs to Computerization”, estimating that 47% of jobs are at risk of automation. [7] [8] With over 10,000 citations according to Google Scholar, the study’s methodology has been used by President Barack Obama's Council of Economic Advisors, the Bank of England, the World Bank, as well as a popular risk-prediction tool by the BBC. [9] [10] [11] [12] In 2019, it was debated on HBO's Last Week Tonight with John Oliver. [13]
The Frey and Osborne study has often been taken to imply an employment apocalypse. For example, Yuval Noah Harari, Kai-Fu Lee, Richard David Precht and Martin Ford have argued that societies need to prepare for a jobless future, citing Frey and Osborne. [14] [15] [16] [17] However, this is not what the study actually suggests. In an interview with Martin Wolf, Frey made clear that their study should not be taken to mean the end of work. [18]
In a recent retrospective on the ensuing debate, The Economist referred to him as “an accidental doom-monger” and pointed out that Frey is in fact much more optimistic than he had been made out to be. [19] In 2023, he published a co-authored essay in The Economist arguing that the latest wave of Generative AI benefits lower-skilled workers. [20]
The economics bibliographic database IDEAS/RePEc ranks him among the top 5% of economists under a number of criteria. [21]
In 2019, Frey published The Technology Trap: Capital, Labor, and Power in the Age of Automation. Comparing the British Industrial Revolution to the Computer Revolution, he argues that the long-run benefits of both events have been immense and indisputable. However, many of those who lived through these massive economic upheavals were not among its main beneficiaries. The Luddites, who smashed machines in the nineteenth century were right in thinking that modern industry reduced their utility.
Frey goes on to argue that the reason why the Industrial Revolution first happened in Britain was that governments there were the first to side with inventors and industrialists, and vigorously repressed any worker resistance to mechanisation. The army that was sent out against the Luddites, for example, was larger than the army Wellington took against Napoleon in the Peninsula War of 1808. In continental Europe (and in China), in contrast, worker resistance was successful, which Frey suggests helps explain why economic growth there was slow to take off. Luddite efforts to avoid the short-term disruption associated with a new technology, can end up denying access to its long-term benefits—something Frey calls a “technology trap”. [22]
Frey also argues that much of today’s political and economic polarisation has to do with technology. The central concern that runs through The Technology Trap is that, unless we are very careful, our latest technological revolution may well turn out to be a tumultuous rerun of the Industrial Revolution, with dire social and political consequences. “The message of this book is that we have been here before,” writes Frey. An opinion poll by the Pew Research Centre survey in 2017 found that 85 per cent of US respondents favoured policies to restrict the rise of the robots. [23]
The book has been lauded by several publications such as The Economist and The Guardian , [24] [25] and was selected as a Financial Times Best Books of the Year in 2019. [26] The book also won Princeton University’s Richard A. Lester Prize. [27]
Economic historians have also praised it. Niall Ferguson called it "of vital importance to voters and policy-makers alike.” [28] Writing in Project Syndicate , Jane Humphries and Benjamin Schneider called it "a historical odyssey." [29] In a review in The Journal of Economic History , Joel Mokyr of Northwestern University called it “an erudite, thoughtful [and] important book that economic historians should read.” However, he also called into question how much economists can learn about the present by studying the history of technology.
In another review published by the Economic History Association, Alexander J. Field wrote that "Frey has written an important and timely book... Many works of this nature, which attempt to cover centuries, indeed millennia of economic history, as well as look into the future, end up being superficial and often error-ridden. On these dimensions the book is largely if not entirely an exception. A great deal of effort, thought, and scholarship went into its writing, and it shows. There is much food for thought here.” [30]
Artificial intelligence (AI) is the intelligence of machines or software, as opposed to the intelligence of humans or animals. It is a field of study in computer science that develops and studies intelligent machines. Such machines may be called AIs.
The Luddites were members of a 19th-century movement of English textile workers which opposed the use of certain types of cost-saving machinery, often by destroying the machines in clandestine raids. They protested against manufacturers who used machines in "a fraudulent and deceitful manner" to replace the skilled labour of workers and drive down wages by producing inferior goods. Members of the group referred to themselves as Luddites, self-described followers of "Ned Ludd", a legendary weaver whose name was used as a pseudonym in threatening letters to mill owners and government officials.
Technology is the application of conceptual knowledge for achieving practical goals, especially in a reproducible way. The word technology can also mean the products resulting from such efforts, including both tangible tools such as utensils or machines, and intangible ones such as software. Technology plays a critical role in science, engineering, and everyday life.
Automation describes a wide range of technologies that reduce human intervention in processes, mainly by predetermining decision criteria, subprocess relationships, and related actions, as well as embodying those predeterminations in machines. Automation has been achieved by various means including mechanical, hydraulic, pneumatic, electrical, electronic devices, and computers, usually in combination. Complicated systems, such as modern factories, airplanes, and ships typically use combinations of all of these techniques. The benefit of automation includes labor savings, reducing waste, savings in electricity costs, savings in material costs, and improvements to quality, accuracy, and precision.
An AI takeover is a hypothetical scenario in which artificial intelligence (AI) becomes the dominant form of intelligence on Earth, as computer programs or robots effectively take control of the planet away from the human species. Possible scenarios include replacement of the entire human workforce, takeover by a superintelligent AI, and the popular notion of a robot uprising. Stories of AI takeovers are very popular throughout science fiction. Some public figures, such as Stephen Hawking and Elon Musk, have advocated research into precautionary measures to ensure future superintelligent machines remain under human control.
Structural unemployment is a form of involuntary unemployment caused by a mismatch between the skills that workers in the economy can offer, and the skills demanded of workers by employers. Structural unemployment is often brought about by technological changes that make the job skills of many workers obsolete.
Post-capitalism is in part a hypothetical state in which the economic systems of the world can no longer be described as forms of capitalism. Various individuals and political ideologies have speculated on what would define such a world. According to classical Marxist and social evolutionary theories, post-capitalist societies may come about as a result of spontaneous evolution as capitalism becomes obsolete. Others propose models to intentionally replace capitalism, most notably socialism, communism, anarchism, nationalism and degrowth.
Emerging technologies are technologies whose development, practical applications, or both are still largely unrealized. These technologies are generally new but also include older technologies finding new applications. Emerging technologies are often perceived as capable of changing the status quo.
"The Triple Revolution" was an open memorandum sent to U.S. President Lyndon B. Johnson and other government figures on March 22, 1964. It concerned three megatrends of the time: increasing use of automation, the nuclear arms race, and advancements in human rights. Drafted under the auspices of the Center for the Study of Democratic Institutions, it was signed by an array of noted social activists, professors, and technologists who identified themselves as the Ad Hoc Committee on the Triple Revolution. The chief initiator of the proposal was W. H. "Ping" Ferry, at that time a vice-president of CSDI, basing it in large part on the ideas of the futurist Robert Theobald.
The End of Work: The Decline of the Global Labor Force and the Dawn of the Post-Market Era is a non-fiction book by American economist Jeremy Rifkin, published in 1995 by Putnam Publishing Group.
Technological unemployment is the loss of jobs caused by technological change. It is a key type of structural unemployment. Technological change typically includes the introduction of labour-saving "mechanical-muscle" machines or more efficient "mechanical-mind" processes (automation), and humans' role in these processes are minimized. Just as horses were gradually made obsolete as transport by the automobile and as labourer by the tractor, humans' jobs have also been affected throughout modern history. Historical examples include artisan weavers reduced to poverty after the introduction of mechanized looms. During World War II, Alan Turing's bombe machine compressed and decoded thousands of man-years worth of encrypted data in a matter of hours. A contemporary example of technological unemployment is the displacement of retail cashiers by self-service tills and cashierless stores.
Martin Ford is an American futurist and author focusing on artificial intelligence and robotics, and the impact of these technologies on the job market, economy and society.
Robotic process automation (RPA) is a form of business process automation that is based on software robots (bots) or artificial intelligence (AI) agents. It is sometimes referred to as software robotics.
Automated journalism, also known as algorithmic journalism or robot journalism, is a term that attempts to describe modern technological processes that have infiltrated the journalistic profession, such as news articles generated by computer programs. There are four main fields of application for automated journalism, namely automated content production, Data Mining, news dissemination and content optimization. Through artificial intelligence (AI) software, stories are produced automatically by computers rather than human reporters. These programs interpret, organize, and present data in human-readable ways. Typically, the process involves an algorithm that scans large amounts of provided data, selects from an assortment of pre-programmed article structures, orders key points, and inserts details such as names, places, amounts, rankings, statistics, and other figures. The output can also be customized to fit a certain voice, tone, or style.
A robot tax is a legislative strategy to disincentivize the replacement of workers by machines and bolster the social safety net for those who are displaced. While the automation of manual labour has been contemplated since before the industrial revolution, the issue has received increased discussion in the 21st century due to newer developments such as machine learning.
Engels' pause is a term coined by economic historian Robert C. Allen to describe the period from 1790 to 1840, when British working-class wages stagnated and per-capita gross domestic product expanded rapidly during a technological upheaval. Allen named the period after German philosopher Friedrich Engels, who describes it in The Condition of the Working Class in England. Economists have analyzed its causes and effects since the nineteenth century, with some questioning its existence. Twenty-first-century technological upheaval and wage stagnation have led economists and academics to draw parallels between the two periods.
In futurology, political science, and science fiction, a post-work society is a society in which the nature of work has been radically transformed.
David Mark Siegel is an American computer scientist, entrepreneur, and philanthropist. He co-founded Two Sigma, where he currently serves as co-chairman. Siegel has written for Business Insider, The New York Times, Financial Times and similar publications on topics including machine learning, the future of work, and the impact of algorithms used by search and social media companies.
A History of the Future is a 2019 documentary series by The History Channel, written and hosted by Professor Diego Rubio Rodríguez, and produced by Onza Entertainment. The series comprises four episodes, each of which explores one key aspect of society's future by analyzing past precedents and modern data, and projecting historical trends.
Michael Osborne is an Australian academic and scientist. He is a professor of machine learning at University of Oxford in the Machine Learning Research Group, a sub-group of the Department of Engineering Science.
| International | |
|---|---|
| National | |
| Academics | |
| Other | |
