Japan-Watching: Economics in the Age of AI

A Thought Experiment Envisioning A “Fully Automated Society”

from REITI, by IKEUCHI Kenta [池内 健太], Senior Fellow (Policy Economist)

In a world where human labor has become unnecessary because of AI, what should be the focus of the study of economics? In the future, if AI and robots have become capable of producing all goods and services necessary for our society, what kind of economic problems could remain?

Of course, a fully automated society is not predicted for the near future. This article imagines such an extreme type of society as a thought experiment designed to consider economic systems in the age of AI. Here, a fully automated society refers not only to one in which corporate production is automated, but also to one in which the legislative, administrative, and judicial functions of government are substantially supported—and in some cases automated—by AI.

I started thinking about this matter when I heard from a researcher acquaintance that a paper concerning AI’s impact on employment had caused quite a stir on X, and I decided to read it out of curiosity. The paper discussed the possibility that AI-driven job cuts could reduce workers’ incomes, weaken consumer demand, and ultimately backfire on firms themselves (Falk and Tsoukalas 2026). Companies may earn higher profits in the short term by taking advantage of AI to cut back on personnel costs. However, if most companies follow that same approach, overall market demand would weaken because workers are also consumers.

The purpose of this article is not to question the validity of that paper’s argument. Rather, the focus is on what economic problems would remain in a future society if AI not only partially replaces human labor but also produces most goods and services.

Scarcity Will Continue to Be a Problem

There has already been extensive research regarding the impact of AI on employment. For example, Acemoğlu and Restrepo (2019) argued that while automation may replace existing human jobs, it may also create new ones. Moreover, the possibility that technological advances could free humans from labor and greatly alleviate economic problems was discussed long ago by Keynes (1930).

If AI and robots become capable of producing goods and services on a sufficiently large scale, would economic problems disappear? That would not necessarily be the case. Even in a fully automated society, scarce resources such as land, location, natural environments, energy, and rare metals will remain limited. Moreover, social status, influence, and political decision-making power are deeply connected to human intentions and perception, and cannot simply be delegated to AI. More land will not become available simply because more people wish to live in convenient urban locations. Quiet natural environments, advanced healthcare resources, social attention, and political influence also cannot be maximized for everyone at the same time.

Therefore, even in a fully automated society, some economic problems will remain. However, the main focus will shift from the “problem of insufficient ordinary commodities” to “how to allocate fundamentally scarce resources.” As production capacity increases, the value of true scarcity only becomes clearer.

In that case, the roles of markets and prices will still exist. Prices are not merely figures that allow for corporate earnings; they convey information about which resources are scarce and to what extent, how much demand there is for those resources, and what supply constraints there are. That perspective connects to a classic argument made by Hayek (1945), who argued that prices function as a mechanism through which dispersed information can be aggregated.

However, if AI becomes deeply integrated into the market, the concept of price itself may change. At present, prices serve as one-dimensional signals representing the levels of various factors, such as scarcity, quality, demand, supply, environmental impact, and future risks, expressed in terms of a single metric, that is, monetary value. If AI agents become capable of processing large volumes of information on behalf of consumers and companies, it is possible that multi-dimensional market signals that convey information concerning all those various factors, including quality, environmental impact, congestion, delivery time, reliability and social impact may come into use. Narita (2025) also discussed the possibility that the roles of money and prices may change, with more diverse evaluation standards becoming involved in economic coordination.

For People to Enjoy Affluence

In a fully automated society, how people participate in the market and society will become more important than ever. If the premise that people earn income through labor becomes obsolete, it will be necessary to develop a mechanism whereby purchasing power is distributed to everyone. In this context, universal basic income (UBI) may be reframed not only as relief for the unemployed, but as a form of fundamental purchasing power used by people to express their preferences. Managi [馬奈木 俊介] (2025) also pointed out that governance over the equitable distribution of the benefits of AI is essential.

Moreover, UBI may not be limited to simple monetary payments. In the future, UBI may take the form of a system combining other benefits as well, including energy use quotas, rights of access to basic healthcare services and education, and rights to refuse or control the use of personal data. In a fully automated society, UBI would therefore be a matter not only of how much to provide, but also of what kinds of access to guarantee and over what time horizon.

Another important issue is whether it is appropriate to treat people merely as consumers. In a fully automated society, the need for people to work for a living may diminish. However, even without such a necessity, humans will likely still possess the desire to create or to be creative. It is human nature to try new things and to try to surprise or impress other people. The spirit of fun and curiosity, a desire for self-expression, an inquisitive mind, and an appetite for challenges are deeply and fundamentally connected to human nature. Therefore, when designing a future UBI system, it will be important to treat people not merely as consumers but as agents who can participate in creation and exploration.

Additionally, the question of who owns and controls AI systems, robots, foundation models, and computing infrastructure is also a major issue. Even if a certain level of income is distributed to everyone, there may remain a power gap between those who control AI systems and robots and those who merely have access to them, in place of the income gap that currently exists in society.

All of the above-mentioned points for debate are relevant to the study of economics. How scarce resources should be allocated, how to guarantee people’s range of choices, and how to design ownership and controlling rights are problems central to economics. A fully automated society is not a near-future prediction. However, this extreme thought experiment serves as a useful guide for considering economic systems in the age of AI. Economics in the age of AI is not about discarding the intellectual legacy of economics, but about inheriting it and extending it toward a new society.

References

June 12, 2026

Japan-Watching: Ministry of Foreign Affairs of Japan

First Meeting of the Study Group on Strengthening Japan-Africa Economic Partnership

At TICAD 9 held last August, Mr. ISHIBA Shigeru (石破 茂), then Prime Minister of Japan, announced the establishment of the “Study Group on Strengthening JapanAfrica Economic Partnership” as one of the concrete initiatives of the Japanese Government’s policy on Africa. The first meeting of this study group is scheduled for June 18 in a hybrid format.

Under the framework of a “Free and Open Indo-Pacific (FOIP)”, this study group will address African economic integration, a top priority for the African Union (AU). Through strengthening economic cooperation between Japan and Africa, the study group aims to support business expansion of Japanese companies in the African market. To this end, the study group will discuss various topics including measures to promote regional economic integration in Africa, review of trade and investment between Japan and Africa, and the strengthening of economic relations between Japan and Africa. The study group will prepare a report by the end of the fiscal year 2027, which will be submitted to the Minister for Foreign Affairs.

(Reference 1) Japanese Members

Prof. WATANABE Yorizumi (渡邊 頼純), Professor Emeritus, Keio University; Dr. KIMURA Fukunari (木村 福成), President, JETRO Asian Economic Research Institute; Mr. FUJITA Ryoji (藤田 亮二), Executive Officer, Toyota Tsusho Corporation (Representative from Keidanren); WATANABE Tatsuro (渡邉 達郎), Managing Executive Officer, Mitsui O.S.K. Lines (Representative from Keizai Doyukai); IGARASHI Katsuya (五十嵐 克也), Director and Head of International Department, the Japan Chamber of Commerce and Industry; and representatives from the Ministry of Foreign Affairs, Ministry of Finance, Ministry of Agriculture, Forestry and Fisheries, and Ministry of Economy, Trade and Industry.

(Reference 2) African Members

Mr. Lacina Koné, Director General and CEO, Smart Africa Alliance; Mr. Kulekani Mathe, CEO, Business Unity South Africa (BUSA); Dr. E. Olawale Ogunkola, Professor of Economics, University of Ibadan, Nigeria; and representatives from the United Nations Economic Commission for Africa (UNECA), the African Continental Free Trade Area (AfCFTA) Secretariat, and the African Union Commission (AUC).

(Note) In addition, relevant Ministries, agencies, and individuals with expertise are expected to attend depending on the agenda.

(Reference 3) Attachment

Establishment of the Study Group on Strengthening Japan-Africa Economic Partnership [Archived PDF]

G7 Evian Summit

Working Session on “Reviving a Balanced, Shared and Sustainable Economic Growth”

On June 17, commencing at 10:30 a.m. (local time. 5:30 p.m. on June 17, Japan time.) for approximately 120 minutes, Ms. TAKAICHI Sanae (高市 早苗), Prime Minister of Japan, attended the G7 Evian Summit Working Session on “Reviving balanced, inclusive, and sustainable economic growth for the benefit of all”. The overview of the session is as follows.

  1. Prime Minister TAKAICHI stated that the G7 and like-minded countries should maintain close communication to reduce uncertainty in the global economy.
    Prime Minister TAKAICHI also stated that it is a common challenge for many countries to promote self-sustaining growth, by addressing non-market policies and practices (NMPPs) and the resulting excess capacity which are drivers of widening global imbalances.
  2. Furthermore, Prime Minister TAKAICHI stated that G7 members and the countries participating in this session should also demonstrate their contribution to reducing imbalances for their own balanced growth as well as for the stability of the global economy and financial markets. Prime Minister TAKAICHI added that making use of data-driven, objective analyses and policy advice by the IMF and the OECD is extremely beneficial in advancing these efforts.
  3. Prime Minister TAKAICHI expressed her hope that the G7 and like-minded countries would lead the global economy through frank discussions. She also stated that she looked forward to discussions at the G20, chaired by President Donald Trump of the United States, on reducing uncertainty in the global economy and becoming stronger and more prosperous together.

Situation in Iran (Signing of a Memorandum of Understanding between the United States and Iran)

(Message from Foreign Minister MOTEGI Toshimitsu [茂木 敏充])

On June 18 (Japan Standard Time), the United States and Iran signed a Memorandum of Understanding and the cessation of hostilities was declared. Japan once again welcomes the fruition of the diplomatic efforts made by the parties as well as the countries that played a role in mediation.

Hereafter, it is important that free and safe navigation through the Strait of Hormuz is swiftly reestablished through the steady implementation of this MoU by all parties. Japan also considers it of critical importance that vessels be able to transit the Strait of Hormuz without being subject to additional costs, as has been the case thus far.

Japan strongly hopes that a final agreement on matters such as Iran’s nuclear issue will be achieved as soon as possible through further negotiations between the United States and Iran. Japan will also support the peaceful resolution of the Iranian nuclear issue including through coordination with the International Atomic Energy Agency (IAEA).

After the conclusion of a final agreement, Japan intends to play an active role in the reconstruction and recovery of the region. Japan will also continue to make every diplomatic effort, in close coordination with the international community, toward the realization of peace and stability throughout the Middle East region.

Parliamentary Vice-Minister for Foreign Affairs ERI’s Visit to the United States

From June 21 to June 24, Ms. ERI Arfiya (英利 アルフィヤ), Parliamentary Vice-Minister for Foreign Affairs of Japan, will visit New York, United States.

During her visit, Parliamentary Vice-Minister ERI will attend the United Nations General Assembly High-Level Meeting on HIV/AIDS and deliver a statement in the meeting. She will also hold meetings with representatives of international organizations.

(Reference) Schedule
June 21Departure from Tokyo
 Arrival at New York
June 22Participation in the United Nations General Assembly High-Level Meeting on HIV/AIDS, etc.
June 23Meetings with representatives of international organizations, etc.
 Departure from New York
June 24Arrival at Tokyo

The 7th Japan-Australia Cyber Policy Dialogue

On June 18, the 7th JapanAustralia Cyber Policy Dialogue was held in Tokyo, Japan.

  1. This whole-of-government meeting was co-chaired by Mr. MIYAKE Fumito (三宅 史人), Ambassador in charge of Cyber Policy and Deputy Director-General of the Foreign Policy Bureau, Ministry of Foreign Affairs (MOFA) of Japan, and Ms. Jessica Hunter, Ambassador for Cyber Affairs and Critical Technology, Department of Foreign Affairs and Trade (DFAT), Australia, with the participation of officials from, on the Japanese side, MOFA, National Cybersecurity Office (NCO), National Police Agency (NPA), Ministry of Defense (MOD), Ministry of Internal Affairs and Communications (MIC) and Ministry of Economy, Trade and Industry (METI), and on the Australian side, DFAT, Department of Industry and Australian Signals Directorate (ASD)’s Australian Cyber Security Centre (ACSC) and Department of Home Affairs (DHA).
  2. At this dialogue, following the enactment of Japan’s Cyber Response Capability Strengthening Act and Necessary Arrangement of Relevant Acts last year, as well as the adoption of its new Cybersecurity Strategy, the two sides exchanged views on broad range of topics, such as each country’s respective cybersecurity strategy and policy, and cooperation at both the bilateral and multilateral levels.
  3. Furthermore, building on the “JapanAustralia Strategic Cyber Partnership” which Ms. TAKAICHI Sanae (高市 早苗), Prime Minister of Japan and the Hon. Anthony Albanese, Prime Minister of Australia concurred on launching at the JapanAustralia Summit Meeting in May of this year, the two sides exchanged views on efforts and cooperation in a wide range of areas including the defense and deterrence of cyber threats, capacity-building, public-private partnerships, and artificial intelligence (AI) and cybersecurity.
  4. Both sides confirmed that they will continue to work closely together in the field of cyber, including through the JapanAustralia Cyber Policy Dialogue.

[from the Ministry of Foreign Affairs of Japan, 18-19 June, 2026]

Science-Watching: From Ignition to Energy

[from Science & Technology Review July/August 2025 Research Highlights, by Noah Pflueger-Peters]

Achieving ignition at the National Ignition Facility (NIF) proved that harnessing the power of the Sun in a laboratory may be possible. The Sun’s extreme temperatures and pressures cause light elements to fuse together to create heavier ones, releasing enormous energy and sustaining conditions for more thermonuclear reactions. NIF replicates these conditions with inertial confinement fusion, in which lasers compress and heat a target capsule filled with deuterium and tritium (DT), “heavy” isotopes of hydrogen that contain extra neutrons. When the isotopes fuse, they create helium and a neutron, and the lost mass is converted into inertial fusion energy (IFE), which can be harnessed for energy production.

Nuclear fusion produces significantly more energy than either nuclear fission or burning fossil fuels for equivalent amounts of fuel. Since the input materials for fusion energy are plentiful on Earth, an IFE power plant could produce safe, abundant, power grid-compatible energy without highly radioactive byproducts.

Although significant work remains to harness fusion energy, pursuing the development and deployment of IFE is crucial for the nation’s energy security, enabling the United States to shape implementation worldwide, avoid technological surprises from adversaries, and influence technical leadership in other energy-intensive technologies such as AI, machine learning (ML), and supercomputing.

IFE research stretches back to the early days of Lawrence Livermore, and today the Laboratory is fostering the overall fusion ecosystem. Livermore’s unique capabilities, expertise, and connections will be critical to laying the technical, logistical, and legal groundwork to make IFE possible. “IFE is a grand scientific and engineering challenge, something that is so incredibly difficult and high-risk and takes enormous expertise,” says Tammy Ma, Livermore’s IFE Institutional Initiative lead. “This challenge makes it the right kind of problem for national laboratories to pursue.”

This artist’s rendering shows the concept for an inertial fusion energy (IFE) power plant design, with a cutaway to show the plant’s target chamber in the center. Livermore researchers are laying the groundwork for private fusion companies to build similar designs. (Illustration by Eric Smith.)

Designing for Viability

NIF is the only facility to date to demonstrate the ignition and burning plasma conditions that are prerequisites for IFE, but it is an experimental facility for stockpile stewardship research, not a power plant. To be commercially viable and produce the energy to offset costs and meet demands (baseload power), IFE plants will need to generate more than 30 times the energy they deliver to the fusion target on every shot while firing 10 or more shots per second, compared to NIF’s rate of one or two shots per day.

The Laser Inertial Fusion Energy (LIFE) study, conducted between 2008 and 2013, aimed to build directly on technology developed for NIF to achieve IFE and took a systematic approach to this requirement by developing the Integrated Process Model (IPM). (See S&TR, April/May 2009 [archived PDF], pp. 6-15.)

IPM is a technoeconomic model of an IFE power plant with detailed technical and cost breakdowns and interdependencies of key systems and subsystems. “The work done under LIFE was fantastic,” says Ma. “IPM lays out engineering and physics requirements for the entire system to test out different scenarios and see the impact. Now, we not only get to expand on all that but also leverage 15 years of new data from NIF, better codes, and high-performance computing (HPC), as well as new work in AI, ML, advanced manufacturing, diagnostics, and nonproliferation across the Laboratory.”

IPM describes an IFE power plant that requires a solid-state laser driver system to “pump” lasers with optical energy using laser diodes instead of flashlamps as at NIF. The plant will also need to fabricate and fill target capsules onsite and send them into its target chamber at a high enough frequency to produce baseload power. “We will have to repeatedly inject targets into the chamber, so the targets must be able to withstand and survive that process,” explains Ma. “Then, the lasers will track the moving targets, and when one gets to the center of the chamber, they would fire on the centered target, repeating 10 to 20 times per second.”

The facility would convert fusion energy into heat and then electricity via steam turbines, sending most of the electricity to the power grid and recycling the rest to power operations on subsequent shots. Neutrons from the reaction would produce tritium needed for the DT fuel by bombarding lithium isotopes in a “breeding blanket” material lining its target chamber. By closing both the power and fuel cycles, IFE plants are expected to be self-sustaining.

Thanks in part to IFE STARFIRE (IFE Science and Technology Accelerated Research for Fusion Innovation and Reactor Engineering), a Department of Energy (DOE)-funded multi-institutional IFE research and development hub, researchers across the Laboratory are working to meet the new system’s demands. IPM can help identify key challenges, test the viability of new designs, and direct future research. “Many technical models and cost models exist for IFE, but very few, if any, pair systems and cost models together at the same depth as IPM,” says Mackenzie Nelson, a technoeconomic systems analyst in the Computational Engineering Division. “This type of tool offers such an advantage because we can assess design choices from both a technical and economic standpoint and create blueprints for what an IFE plant could look like.”

(left to right) Livermore researchers Bassem El Dasher, Claudio Santiago, and Mackenzie Nelson discuss a 3D model of a proposed IFE power plant design alongside the Integrated Process Model (IPM). IPM has more than 270 potential user inputs that researchers and collaborators can use to assess different IFE design choices to see the technical and cost impact on the entire design.

Operational Demands

NIF’s target capsules are extremely precise, fragile, and can take weeks to fabricate, fill, and position. Researchers are trying to reconcile that factor with the estimated demand of more than 800,000 capsules per day produced at less than $0.50 each to achieve IFE plant viability. To do this, they are examining optimal target designs for IFE and exploring advanced manufacturing methods such as microfluidics, volumetric additive manufacturing, and two-photon polymerization. (See S&TR, April/May 2025 [archived PDF], pp. 16-19.) Additional projects involve developing diagnostic instruments that can collect, analyze, and combine data with other diagnostics at the 10 to 20 shot per second frequency and use it to improve lasers in real time.

Fusion energy systems such as IFE are also a regulatory challenge, as they generate high-energy neutrons capable of breeding plutonium or uranium-233 and rely on large quantities of tritium. “Pure fusion energy systems do not require fissile material, but there are still ways to misuse these technologies that pose proliferation risk,” says Yana Feldman, the associate program leader for international safeguards. Bad actors may only need small amounts of tritium to make nuclear weapons, and some breeding blanket designs may inadvertently produce traces of plutonium that may be diverted for military purposes.

Nuclear fission reactors are regulated through international agreements and export control rules, and the independent International Atomic Energy Agency (IAEA) verifies that nuclear material and facilities are only being used for peaceful purposes. Neither treaties nor the IAEA address fusion energy, and no consensus has been reached on whether fusion energy systems need an international verification program. Verification methods for safeguarding tritium are also far less developed than for plutonium and uranium and focus more on contamination and transfers than analytical accounting for discrepancies. The precise scale of allowable tritium unaccounted for without posing proliferation risk is also unclear.

Fusion systems can be designed for proliferation resistance, but not having an existing design remains a challenge.

International security analyst Anne-Marie Riitsaar and her colleagues are exploring these complexities and starting conversations with international fusion experts and private industry to raise awareness. Riitsaar also plans to collaborate with the IPM team to map tritium diversion vulnerabilities and identify high-risk points where researchers could incorporate surveillance methods into plant designs to detect and prevent potential misuse. “People sometimes ask me why I’m thinking about fusion energy regulations and proliferation risks at this point, but it’s not too early,” says Riitsaar. “Reaching a multinational consensus on regulating sensitive technologies takes considerable time and effort.”

The National Ignition Facility is an experimental facility and not a power plant, so a commercial IFE plant design has vastly different requirements—many of which are being studied by Livermore researchers and their collaborators.

NIFViable IFE plant (estimated)
Repetition rateOne shot per day10 to 20 shots per second
Energy gain4.13 times (as of April 2025)30 times (minimum), 50 times to 100 times (ideal)
How lasers gain energyFlashlampsDiode pumping
Target fabrication and fuel fillingFabricated offsite over several weeks and filled manually in 1 to 5 daysMass-manufactured and filled in a target factory within the facility
Target deliveryPositioned manually within the Target ChamberShot into the plant’s target chamber approximately 10 to 20 times per second
Laser alignmentComputationally in real time, taking up to 8 hoursIn real time
Power cycleOpen, requiring outside energy sourcesClosed, applying reused energy to power laser and ancillary plant operations
Fuel cycle (tritium)Produced offsiteBred onsite

The Laser Driven Fusion Integration Research and Science Test Facility (LD-FIRST) is a proposed blueprint for a proof-of-concept IFE facility that will test all the key IFE subsystems in an integrated fashion. A public-private partnership will likely be necessary to build the facility and will help the IFE community address the main subset of risks and the technological challenges of building a commercial plant.

Converging on a Solution

The team seeks to make IPM as accurate and comprehensive as possible by meeting with subject matter experts across the Laboratory to incorporate the latest research. “We’re trying to evolve the model so it has the same level of high detail across every single functional area to tell us where we can focus research and help us find optimized solutions that we could propose to industry,” says Nelson.

Computer scientist Claudio Santiago and his colleagues also modernized IPM by porting its framework from Microsoft Excel to Python in December 2024, making it compatible with AI, ML, design optimization, and HPC to further inform designs. “Once we think about all the forcing functions such as minimum shot yield and materials requirements pinning us in from every direction, we end up with an optimized solution space. As we sharpen the pencil more with these tools, that optimized solution box gets smaller until eventually we’ve converged on a point design,” says IFE lead systems engineer Justin Galbraith. Galbraith and his team’s point design is called the Laser Driven Fusion Integration Research and Science Test Facility, or LD-FIRST, a proof-of-concept physics demonstration facility for IFE. “That point design, we anticipate, will serve as the foundation for a future public-private partnership that would facilitate building and realizing a physical facility to focus the IFE community in pursuit of fusion power on the grid,” says Galbraith.

Livermore is leading the charge in IFE, helping the United States develop a technological roadmap, growing and coordinating science and technology efforts within the Laboratory, and fostering partnerships across the fusion industry, academia, and government.

Ma chaired DOE’s “Basic Research Needs for IFE” workshop and report in 2022 and co-chairs the subcommittee providing recommendations on the nation’s fusion activities through DOE’s Fusion Energy Sciences Advisory Committee. She and her team travel often to Washington, D.C., working with DOE and legislators to expand fusion energy research and advocacy in the nation. Livermore also leads a “Collaboratory” with other DOE national laboratories to connect research project leads and facilitate public-private partnerships. The Collaboratory has hosted multiple events with industry, and the Laboratory has partnered with three private companies who aim to design pilot IFE plants.

Meanwhile, Galbraith and other IFE leaders have served as technical advisors for engineering design teams at Texas A&M University and given them IFE-relevant problems to solve, including advanced chamber and blanket design. Galbraith is working with Nelson to develop the IFE plant design portion of a high-energy-density science summer school program, which Nelson is leading in 2025 at the University of California at San Diego, and they have developed IFE curriculum that has been deployed at six universities starting in spring 2025. “We’re hoping we can get a group of students really excited about fusion and start to build up the next generation of engineers and scientists that will make fusion a reality,” says Galbraith. The team has led IFE strategic planning exercises at the Laboratory, and Lawrence Livermore will stand up a new fusion institute—named “LIFT,” for Livermore Institute for Fusion Technology—a research and development center that will coordinate and centralize institutional fusion energy research.

Harnessing IFE will be a massive undertaking, but Livermore’s broad and deep expertise, facilities, and capabilities put the Laboratory in a unique position to lead and play an impactful role. “If we can set it up correctly, IFE will be a big piece of the Laboratory’s long-term vision,” says Ma. “IFE plays off of our history and all of our strengths, and it is critical for long-term national security.”

Monomania and the West

There have been all kinds of “voices” in the history of Western civilization. Perhaps the loudest voice is that of monomaniacs, who always claim that behind the appearance of the many is the one. If we illustrate the West, and at its roots, the intersection of Athens and Jerusalem, we see the origins of this monomania. Plato’s realm of ideas was supposed to explain everything encountered in our daily lives. His main student and rival, Aristotle, has his own competing explanation, based in biology instead of mathematics.

These monomanias in their modern counterpart in ideologies. In communism, the key to have everything is class and the resulting class struggles. Nazism revolves around race and racial conflict.

In our own era, the era of scientism, we have the idea of god replaced with Stephen Hawking’s “mind of god,” Leon Lederman’s The God Particle and KAKU Michio’s The God Equation. In the 2009 film, Angels & Demons, there’s a senior Vatican official, played by Ewan McGregor, who is absolutely outraged by the blasphemous phrase, “the god particle.”

Currently, the monomania impetus continues full-force. For example, Professor Seth Lloyd of MIT tells us that reality is the cosmos and not chaos, because all of reality together is a computer. His MIT colleague, Max Tegmark, argues in his books that the world is not explained by mathematics, but rather is mathematics. Perhaps the climax of this kind of thinking is given to us by the essay “Everything Is Computation” by Joscha Bach:

These days we see a tremendous number of significant scientific news stories, and it’s hard to say which has the highest significance. Climate models indicate that we are past crucial tipping points and irrevocably headed for a new, difficult age for our civilization. Mark van Raamsdonk expands on the work of Brian Swingle and Juan Maldacena and demonstrates how we can abolish the idea of spacetime in favor of a discrete tensor network, thus opening the way for a unified theory of physics. Bruce Conklin, George Church, and others have given us CRISPR/Cas9, a technology that holds promise for simple and ubiquitous gene editing. “Deep learning” starts to tell us how hierarchies of interconnected feature detectors can autonomously form a model of the world, learn to solve problems, and recognize speech, images, and video.

It is perhaps equally important to notice where we lack progress: Sociology fails to teach us how societies work; philosophy seems to have become infertile; the economic sciences seem ill-equipped to inform our economic and fiscal policies; psychology does not encompass the logic of our psyche; and neuroscience tells us where things happen in the brain but largely not what they are.

In my view, the 20th century’s most important addition to understanding the world is not positivist science, computer technology, spaceflight, or the foundational theories of physics.

It is the notion of computation. Computation, at its core, and as informally described as possible, is simple: Every observation yields a set of discernible differences.

These we call information. If the observation corresponds to a system that can change its state, we can describe those state changes. If we identify regularity in those state changes, we are looking at a computational system. If the regularity is completely described, we call this system an algorithm. Once a system can perform conditional state transitions and revisit earlier states, it becomes almost impossible to stop it from performing arbitrary computation. In the infinite case that is, if we allow it to make an unbounded number of state transitions and use unbounded storage for the states—it becomes a Turing machine, or a Lambda calculus, or a Post machine, or one of the many other mutually equivalent formalisms that capture universal computation.

Computational terms rephrase the idea of “causality,” something that philosophers have struggled with for centuries. Causality is the transition from one state in a computational system to the next. They also replace the concept of “mechanism” in mechanistic, or naturalistic, philosophy. Computationalism is the new mechanism, and unlike its predecessor, it is not fraught with misleading intuitions of moving parts.

Computation is different from mathematics. Mathematics turns out to be the domain of formal languages and is mostly undecidable, which is just another word for saying “uncomputable” (since decision making and proving are alternative words for computation, too). All our explorations into mathematics are computational ones, though. To compute means to actually do all the work, to move from one state to the next.

Computation changes our idea of knowledge: Instead of justified true belief, knowledge describes a local minimum in capturing regularities between observables. Knowledge is almost never static but progresses on a gradient through a state space of possible worldviews. We will no longer aspire to teach our children the truth, because, like us, they will never stop changing their minds. We will teach them how to productively change their minds, how to explore the never-ending land of insight.

A growing number of physicists understands that the universe is not mathematical but computational, and physics is in the business of finding an algorithm that can reproduce our observations. The switch from uncomputable mathematical notions (such as continuous space) makes progress possible. Climate science, molecular genetics, and AI are computational sciences. Sociology, psychology, and neuroscience are not: They still seem confused by the apparent dichotomy between mechanism (rigid moving parts) and the objects of their study. They are looking for social, behavioral, chemical, neural regularities, where they should be looking for computational ones.

Everything is computation.

Know This: Today’s Most Interesting and Important Scientific Ideas, Discoveries, and Developments, John Brockman (editor), Harper Perennial, 2017, pages 228-230.

Friedrich Nietzsche rebelled against this type of thinking the most profoundly. If scientism represents the modern, then Nietzsche was the prophet of postmodernism. Nietzsche’s famous phrase, “God is dead.” is not about a creator or divinity, but rather finality itself. There is no final explanation.

World-Watching: Old Problem, Modern Solution: Emerging Technologies for Anti-Corruption

[from Asia-Pacific Economic Cooperation, 29 July, 2025]

by Emmanuel A. San Andres and Glacer Nino A. Vasquez

Harnessing new tools to strengthen transparency and accountability can help APEC economies combat corruption and build public trust.

The Code of Hammurabi is one of humanity’s oldest surviving legal texts. Etched in basalt nearly four millennia ago, one of the many crimes it proscribes is corruption by a judge, for which the punishment is a hefty fine—“twelve times the fine set by him in the case”—plus removal and perpetual disqualification from office. Today, laws are published online rather than on stone tablets, but corruption remains a scourge across societies.

Thousands of years later, the fight against corruption continues. Corruption scandals continue to make headlines across the region, affecting both public and private institutions. Whether involving procurement fraud or illicit finance flows, these cases underscore how quickly trust can erode when institutions fail to adapt. The need for preventive systems, powered by data, backed by law and enabled by technology, has never been more urgent. Across APEC, the principles of transparency, accountability and integrity remain central to strong public institutions. As economies become more interconnected and more data-driven, emerging technologies are offering new ways to advance these goals.

APEC economies have long relied on oversight mechanisms such as audits, procurement rules, and internal checks to prevent, detect and prosecute corruption. These tools have been effective in fighting corruption, and they remain essential. But at the same time, new technology has also opened new pathways for corruption: The discreet meeting at a coffeeshop may now occur over an encrypted messaging app, and the cash-filled envelope replaced by a cryptocurrency transfer.

As corrupt actors grow more technologically sophisticated, so too must anti-corruption efforts. APEC economies are not new to digital solutions—e-government and e-procurement portals have reduced opportunities for hidden transactions. Beneficial ownership registries and asset tracking systems make it easier to prosecute and penalise incidents of corruption when they do occur. But emerging technologies offer even more powerful tools to prevent, detect and deter corruption.

For example, artificial intelligence and machine learning (AI/ML) enable real-time monitoring, risk scoring, pattern detection, and predictive analytics. These tools can support monitoring and investigation by automating document review and evidence gathering. AI/ML can also enhance institutional capacity through adaptive, personalized training systems.  Meanwhile, advanced data analytics can support the review of large volumes of data, revealing patterns of corrupt activity and informing decision-making. When data from different sources are connected, it becomes easier to understand corruption risks early and act with greater precision.

Blockchain—the technology that enables cryptocurrencies—can be used to create immutable, transparent ledgers for government transactions, supply chain monitoring and secure identity management, making it harder to conceal corrupt activity. Remote sensing and facial recognition technologies also offer potential in compliance monitoring and anomaly detection.

However, implementing these emerging technologies have their share of challenges and risks. The effectiveness of AI/ML systems is only as good as the quality, integrity and objectivity of the data they are fed; biased inputs can produce biased outcomes. Blockchain technology is very energy-intensive, which may hinder its scalability and availability. Facial recognition raises serious concerns over privacy and due process, enabling widespread surveillance without individual consent.

These trends mirror growing international momentum around the digitalization of integrity systems. International organizations are helping lead the way: the OECD is leveraging AI and big data to detect corruption risks and improve compliance, while the World Bank’s Governance Risk Assessment System [archived PDF] uses analytics to uncover fraud in public procurement, with pilots already underway in Brazil. As stewards of major anti-corruption conventions, these institutions are turning innovation into accountability. For APEC economies, this alignment offers a timely opportunity to shape global standards while advancing domestic reform.

It is also important to recognize the central role of human and institutional elements in anti-corruption efforts. Emerging technologies are not a silver bullet; they will only be effective if they are well integrated into government processes and are aligned with the skills of the people who need to use them. Training and capacity building will be essential to bridge capability gaps, while a committed leadership will be needed to implement the legal reforms and oversight structures needed to ensure effective adoption.

Buy-in from anti-corruption stakeholders across government, the private sector and civil society is also crucial to this pursuit. Technologies like AI/ML and advanced analytics require large volumes of reliable data, requiring cooperation and information sharing. Public understanding and trust, ethical use of data and equitable access to technology are all essential to ensuring long-term success.

APEC economies are at different stages of readiness to adopt these emerging technologies. While some economies have yet to develop adequate digital infrastructure, human capital and institutional structures, others are already in a position to expand or integrate more advanced anti-corruption tools into their day-to-day processes. Capacity building, information sharing and dialogue can help narrow this gap while learning from the experiences of those ahead.

This is where regional cooperation can make a difference APEC provides a platform for knowledge sharing, capacity building and policy cooperation. The Anti-Corruption and Transparency Experts Working Group could provide a venue for a collaborative strategy to mainstream emerging technology in anti-corruption work, while building technical capacity for economies that need it. Likewise, the upcoming APEC High-Level Dialogue on Anti-Corruption Cooperation provides an opportunity to reaffirm values and shared commitments in the fight against corruption.

Corruption has existed since the dawn of civilization. As methods to commit corruption have evolved, so must the tools to combat it. People and institutions will always remain at the heart of anti-corruption efforts, but with the right governance and safeguards, emerging technologies can be game-changers in fighting corruption and recovering its proceeds, whether it’s in Babylonian sheqels or in bitcoins.

Emmanuel A. San Andres is a senior analyst, Glacer Niño A. Vasquez is a researcher at the APEC Policy Support Unit. For more on this topic, read the latest issue paper “Technologies for Preventing, Detecting, and Combatting Corruption [archived PDF].

World-Watching: U.S. Greenlighted H20 Chips Export on Its Own Initiative, China Says

Beijing clarifies its deal with Washington didn’t include NVIDIA’s 4th-best AI chip, disputing widely-reported comments by U.S. Commerce Secretary Howard Lutnick

by Zichen Wang, from Pekingnology

The U.S. greenlighted NVIDIA’s China-specific Artificial Intelligence chip, known as the H20, for export to China on its own initiative, China said on Friday.

In a statement dedicated to the recent U.S. approval of the semiconductor giant’s 4th-best Artificial Intelligence chip, China’s Ministry of Commerce said on its website that in early July, the U.S. had already lifted restrictions on China under the agreement reached between the two countries in London.

“We have taken note that Washington has now taken the initiative to announce it will authorize sales of NVIDIA’s H20 chips to China,” the trade ministry added.

Beijing’s clarification stands in stark contrast to widely reported public comments earlier this week by U.S. Commerce Secretary Howard Lutnick, who told Reuters on Tuesday that “We put that in the trade deal with the magnets,” referring to the agreement made to restart Chinese rare earth shipments to U.S. manufacturers. He did not provide additional details, according to Reuters.

NVIDIA’s H20 was designed to be technologically inferior. The company also sells three other chips that far surpass the H20’s power.

Commerce Secretary Howard Lutnick echoed NVIDIA CEO Jensen Huang’s view of why a U.S. company should sell chips to China. Andrew Harnik/Getty Images

On Monday, July 14, the Silicon Valley company announced in a blog post that the U.S. government had approved the sale of the H20, three months after the Donald Trump administration shut down NVIDIA’s artificial intelligence chip sales to China, after CEO Jensen Huang met President Trump in Washington D.C., and before he departed for Beijing.

Huang dominates Chinese headlines this week with his speech at an industry conference and public events with Chinese AI leaders. He visited China’s Ministry of Commerce and was received by Wang Wentao, the minister, on Thursday.

商务部新闻发言人就美批准对华销售英伟达H20芯片有关情况答记者问

MOFCOM Spokesperson Responds to Questions on the U.S. Approval of NVIDIA H20 Chip Sales to China

2025-07-18 13:43

Question:

U.S. officials have recently stated that Washington’s decision to approve sales of NVIDIA’s H20 chips to China is part of ChinaU.S. economic and trade negotiations. They also claimed that Chinese firms, including Huawei, are already producing equivalent chips domestically and that the United States does not want China to achieve full import substitution. How does the Ministry of Commerce (MOFCOM) view this?

Answer:

Following the ChinaU.S. economic and trade consultations in London, the two sides have maintained close communication, finalized the “London framework,” and moved forward with implementation. China, in accordance with its laws and regulations, approves export applications for controlled items that meet the necessary criteria. In early July, the United States reciprocally lifted the restrictions on China that had been discussed during those talks.

We have taken note that Washington has now taken the initiative to announce it will authorize sales of NVIDIA’s H20 chips to China. Beijing believes the United States should abandon a zero-sum mentality and continue to roll back a range of unwarranted trade and technology restrictions on China.

Cooperation and mutual benefit are the only viable path; suppression and containment lead nowhere. In May, the United States issued new export-control guidelines targeting Huawei’s Ascend chips, tightening restrictions on Chinese semiconductor products under unfounded pretexts. By wielding administrative power to distort fair market competition, these measures severely undermine the legitimate rights and interests of Chinese companies. China has made its position clear and firmly opposes such actions.

We look forward to the United States working with China in a spirit of equality to correct these erroneous practices, foster a sound environment for mutually beneficial cooperation between the two countries’ enterprises, and jointly safeguard the stability of global semiconductor supply chains.

Economics-Watching: “Doing Nothing” Is Still Doing a Lot

[from the Federal Reserve Bank of Philadelphia, speech by Patrick T. Harker President and Chief Executive Officer at the National Association of Corporate Directors Webinar, Philadelphia, PA (Virtual)]

Good afternoon, everyone.

I appreciate that you’re all giving up part of the end of your workday for us to be together, if only virtually.

My thanks to my good friend, Rick Mroz, for that welcome and introduction.

I do believe we’re going to have a productive session. But just so you all know, as much as I enjoy speaking and providing my outlook, I enjoy a good conversation even more.

So, first, let’s take a few minutes so I can give you my perspective on where we are headed, and then I will be more than happy to take questions and hear what’s on your minds.

But before we get into any of that, I must begin with the standard Fed disclaimer: The views I express today are my own and do not necessarily reflect those of anyone else on the Federal Open Market Committee (FOMC) or in the Federal Reserve System.

Put simply, this is one of those times where the operative words are, “Pat said,” not “the Fed said.”

Now, to begin, I’m going to first address the two topics that I get asked about most often: interest rates and inflation. And I would guess they are the topics front and center in many of your minds as well.

After the FOMC’s last policy rate hike in July, I went on record with my view that, if economic and financial conditions evolved roughly as I expected they would, we could hold rates where they are. And I am pleased that, so far, economic and financial conditions are evolving as I expected, if not perhaps even a tad better.

Let’s look at the current dynamics. There is a steady, if slow, disinflation under way. Labor markets are coming into better balance. And, all the while, economic activity has remained resilient.

Given this, I remain today where I found myself after July’s meeting: Absent a stark turnabout in the data and in what I hear from contacts, I believe that we are at the point where we can hold rates where they are.

In barely more than a year, we increased the policy rate by more than 5 percentage points and to its highest level in more than two decades — 11 rate hikes in a span of 12 meetings prior to September. We not only did a lot, but we did it very fast.

We also turned around our balance sheet policy — and we will continue to tighten financial conditions by shrinking the balance sheet.

The workings of the economy cannot be rushed, and it will take some time for the full impact of the higher rates to be felt. In fact, I have heard a plea from countless contacts, asking to give them some time to absorb the work we have already done.

I agree with them. I am sure policy rates are restrictive, and, as long they remain so, we will steadily press down on inflation and bring markets into a better balance.

Holding rates steady will let monetary policy do its work. By doing nothing, we are still doing something. And I would argue we are doing quite a lot.

Headline PCE inflation remained elevated in August at 3.5 percent year over year, but it is down 3 percentage points from this time last year. About half of that drop is due to the volatile components of energy and food that, while basic necessities, they are typically excluded by economists in the so-called core inflation rate to give a more accurate assessment of the pace of disinflation and its likely path forward.

Well, core PCE inflation has also shown clear signs of progress, and the August monthly reading was its smallest month-over-month increase since 2020.

So, yes, a steady disinflation is under way, and I expect it to continue. My projection is that inflation will drop below 3 percent in 2024 and level out at our 2 percent target thereafter.

However, there can be challenges in assessing the trends in disinflation. For example, September’s CPI report came out modestly on the upside, driven by energy and housing.

Let me be clear about two things. First, we will not tolerate a reacceleration in prices. But second, I do not want to overreact to the normal month-to-month variability of prices. And for all the fancy techniques, the best way to separate a signal from noise remains to average data over several months. Of course, to do so, you need several months of data to start with, which, in turn, demands that, yes, we remain data-dependent but patient and cautious with the data.

Turning to the jobs picture, I do anticipate national unemployment to end the year at about 4 percent — just slightly above where we are now — and to increase slowly over the next year to peak at around 4.5 percent before heading back toward 4 percent in 2025. That is a rate in line with what economists call the natural rate of unemployment, or the theoretical level in which labor market conditions support stable inflation at 2 percent.

Now, that said, as you know, there are many factors that play into the calculation of the unemployment rate. For instance, we’ve seen recent months where, even as the economy added more jobs, the unemployment rate increased because more workers moved off the sidelines and back into the labor force. There are many other dynamics at play, too, such as technological changes or public policy issues, like child care or immigration, which directly impact employment.

And beyond the hard data, I also have to balance the soft data. For example, in my discussions with employers throughout the Third District, I hear that given how hard they’ve worked to find the workers they currently have, they are doing all they can to hold onto them.

So, to sum up the labor picture, let me say, simply, I do not expect mass layoffs.

do expect GDP gains to continue through the end of 2023, before pulling back slightly in 2024. But even as I foresee the rate of GDP growth moderating, I do not see it contracting. And, again, to put it simply, I do not anticipate a recession.

Look, this economy has been nothing if not unpredictable. It has proven itself unwilling to stick to traditional modeling and seems determined to not only bend some rules in one place, but to make up its own in another. However, as frustratingly unpredictable as it has been, it continues to move along.

And this has led me to the following thought: What has fundamentally changed in the economy from, say, 2018 or 2019? In 2018, inflation averaged 2 percent almost to the decimal point and was actually below target in 2019. Unemployment averaged below 4 percent for both years and was as low as 3.5 percent — both nationwide and in our respective states — while policy rates peaked below 2.5 percent.

Now, I’m not saying we’re going to be able to exactly replicate the prepandemic economy, but it is hard to find fundamental differences. Surely, I cannot and will not minimize the immense impacts of the pandemic on our lives and our families, nor the fact that for so many, the new normal still does not feel normal. From the cold lens of economics, I do not see underlying fundamental changes. I could also be wrong, and, trust me, that would not be the first time this economy has made me rethink some of the classic models. We just won’t know for sure until we have more data to look at over time.

And then, of course, there are the economic uncertainties — both national and global — against which we also must contend. The ongoing auto worker strike, among other labor actions. The restart of student loan payments. The potential of a government shutdown. Fast-changing events in response to the tragic attacks against Israel. Russia’s ongoing war against Ukraine. Each and every one deserves a close watch.

These are the broad economic signals we are picking up at the Philadelphia Fed, but I would note that the regional ones we follow are also pointing us forward.

First, while in the Philadelphia Fed’s most recent business outlook surveys, which survey manufacturing and nonmanufacturing firms in the Third District, month-over-month activity declined, the six-month outlooks for each remain optimistic for growth.

And we also publish a monthly summary metric of economic activity, the State Coincident Indexes. In New Jersey, the index is up slightly year over year through August, which shows generally positive conditions. However, the three-month number from June through August was down, and while both payroll employment and average hours worked in manufacturing increased during that time, so did the unemployment rate — though a good part of that increase can be explained as more residents moved back into the labor force.

And for those of you joining us from the western side of the Delaware River, Pennsylvania’s coincident index is up more than 4 percent year over year through August and 1.7 percent since June. Payroll employment was up, and the unemployment rate was down; however, the number of average hours worked in manufacturing decreased.

There are also promising signs in both states in terms of business formation. The number of applications, specifically, for high-propensity businesses — those expected to turn into firms with payroll — are remaining elevated compared with pre-pandemic levels. Again, a promising sign.

So, it is against this full backdrop that I have concluded that now is the time at which the policy rate can remain steady. But I can hear you ask: “How long will rates need to stay high.” Well, I simply cannot say at this moment. My forecasts are based on what we know as of late 2023. As time goes by, as adjustments are completed, and as we have more data and insights on the underlying trends, I may need to adjust my forecasts, and with them my time frames.

I can tell you three things about my views on future policy. First, I expect rates will need to stay high for a while.

Second, the data and what I hear from contacts and outreach will signal to me when the time comes to adjust policy either way. I really do not expect it, but if inflation were to rebound, I know I would not hesitate to support further rate increases as our objective to return inflation to target is, simply, not negotiable.

Third, I believe that a resolute, but patient, monetary policy stance will allow us to achieve the soft landing that we all wish for our economy.

Before I conclude and turn things over to Rick to kick off our Q&A, I do want to spend a moment on a topic that he and I recently discussed, and it’s something about which I know there is generally great interest: fintech. In fact, I understand there is discussion about NACD hosting a conference on fintech.

Well, last month, we at the Philadelphia Fed hosted our Seventh Annual Fintech Conference, which brought business and thought leaders together at the Bank for two days of real in-depth discussions. And I am extraordinarily proud of the fact that the Philadelphia Fed’s conference has emerged as one of the premier conferences on fintech, anywhere. Not that it’s a competition.

I had the pleasure of opening this year’s conference, which always puts a focus on shifts in the fintech landscape. Much of this year’s conference centered around developments in digital currencies and crypto — and, believe me, some of the discussions were a little, shall we say, “spirited.” However, my overarching point to attendees was the following: Regardless of one’s views, whether in favor of or against such currencies, our reality requires us to move from thinking in terms of “what if” to thinking about “what next.”

In many ways, we’re beyond the stage of thinking about crypto and digital currency and into the stage of having them as reality — just as AI has moved from being the stuff of science fiction to the stuff of everyday life. What is needed now is critical thinking about what is next. And we at the Federal Reserve, both here in Philadelphia and System-wide, are focused on being part of this discussion.

We are also focused on providing not just thought leadership but actionable leadership. For example, the Fed rolled out our new FedNow instant payment service platform in July. With FedNow, we will have a more nimble and responsive banking system.

To be sure, FedNow is not the first instant payment system — other systems, whether operated by individual banks or through third parties, have been operational for some time. But by allowing banks to interact with each other quickly and efficiently to ensure one customer’s payment becomes another’s deposit, we are fulfilling our role in providing a fair and equitable payment system.

Another area where the Fed is assuming a mantle of leadership is in quantum computing, or QC, which has the potential to revolutionize security and problem-solving methodologies throughout the banking and financial services industry. But that upside also comes with a real downside risk, should other not-so-friendly actors co-opt QC for their own purposes.

Right now, individual institutions and other central banks globally are expanding their own research in QC. But just as these institutions look to the Fed for economic leadership, so, too, are they looking to us for technological leadership. So, I am especially proud that this System-wide effort is being led from right here at the Philadelphia Fed.

I could go on and talk about fintech for much longer. After all, I’m actually an engineer more than I am an economist. But I know that Rick is interested in starting our conversation, and I am sure that many of you are ready to participate.

But one last thought on fintech — my answers today aren’t going to be generated by ChatGPT.

On that note, Rick, thanks for allowing me the time to set up our discussion, and let’s start with the Q&A.

[archived PDF of the above speech]

Science-Watching: Nature webinar

Cryo-EM and artificial intelligence: A marriage made in cell extracts

Date: Thursday, June 16, 2022

Reserve your seat

This webcast has been produced on behalf of Nature’s sponsor who retains sole responsibility for content. About this content.

About this webcast

Deep insights into how cellular proteins interact have been out of reach, especially in a native context. In this webcast, Dr. Panagiotis Kastritis of Martin Luther University Halle-Wittenberg will describe how analysis of endogenous cell extracts with cryo-EM and artificial intelligence methods can provide integrated biological analysis of protein communities in a closer-to-native setting.

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Education and the Long-Term: Automation As Example

The American Revolution: Pages From a Negro Worker’s Notebook

Chapter 2: The Challenge of Automation

“Since 1955 and the advent of automation, overtime has been detrimental to the workers. Again and again workers have been faced with the decision to work overtime or not to work overtime, and the decision has usually been: ‘To hell with those out of work. Let’s get the dollar while the dollar is gettable.’ The amazing thing is that this has nothing to do with the backwardness of these workers. Not only can they run production and think for themselves, but they sense and feel the changes in conditions way in advance of those who are supposed to be responsible for their welfare. But with all these abilities there is one big organic weakness. Over and over again workers in various shops and industries, faced with a critical issue, only divide and become disunited, even though they are well aware that they are being unprincipled and weakening their own cause as workers. Since the advent of automation there has not been any serious sentiment for striking, particularly if the strike was going to come at the expense of material things that the workers already had in their possession, like cars, refrigerators, TV sets, etc. They were not ready to make any serious sacrifices of these; they would rather sacrifice the issue. Between the personal things and the issue, they have chosen the personal. Most American workers have geared themselves to a standard of living that is based on a five-day week plus—either in the form of overtime or another job, part or full time. And any time this standard of living is threatened, it is a personal crisis, which means that more and more decisions are being personalized and individualized rather than collectivized and socialized.”

(The American Revolution: Pages From a Negro Worker’s Notebook, James Boggs, Monthly Review Press, 1963, page 33)

As far back as 1963, with President John Kennedy in office, James Boggs (a Detroit autoworker) was already quite aware of automation and its challenges.

A “meta-intelligent” education means we learn from any sources available including “angry pamphlets” without worrying about the ideological blinders or fireworks because our desire is not to engage in polemics but to “extract signals” from a noisy world.

Chapter 2 of James Boggs’s pamphlet is called “The Challenge of Automation” and begins: “Since 1955 and the advent of automation, overtime has been detrimental to the workers…”

This immediately tells you that automation is a very long-run historical trend and should be seen in a larger sweep with history as your searchlight.

Indeed the famous German classic The Weavers by Gerhart Hauptmann is about machines as a threat to employment:

The Weavers (German: Die Weber, Silesian German: De Waber) is a play written by the German playwright Gerhart Hauptmann in 1892. The play sympathetically portrays a group of Silesian weavers who staged an uprising during the 1840s due to their concerns about the Industrial Revolution and replacement by machines and automation.

In 1927, it was adapted into a German silent film The Weavers, directed by Frederic Zelnik and starring Paul Wegener.

A Broadway version of The Weavers was staged in 1915–1916.

To dismiss all such movements and revolts as Luddite-like is not useful since it sweeps legitimate problems under the rug.

This includes Ernst Toller’s classic The Machine Wreckers (German: Die Maschinenstürmer). Two of his early plays were produced in this period: The Machine Wreckers (1922), whose opening night in 1937 he attended, and No More Peace, produced in 1937 by the Federal Theatre Project and presented in New York City in 1938.

All of these critiques of machines and automation are part of a long-term historical overview of machines and jobs and in our time, robotics and AI, etc which should be analyzed as a trajectory and arc where “machine wreckers” à la Hauptmann or Toller are understood empathetically and realistically and not dismissed as vandals.

Education and “Then and Now” Thinking: Zola’s Novel L’Argent

It is amazing to see how certain nineteenth century phenomena, such as Émile Zola’s novel L’Argent (“Money”), eerily echo with our own times. The novel has fundamentalist evangelical Christianity, international financial chicanery, anti-Semitism, the signs of full-blown “casino capitalism” convulsing the whole of society, global technical innovations. The historical background as all this unfolds is explosive and complex.

L’Argent is the eighteenth novel in the Rougon-Macquart series by Émile Zola. It was serialized in the periodical Gil Blas beginning in November 1890, before being published in novel form by Charpentier et Fasquelle in March 1891.

The novel focuses on the financial world of the Second French Empire as embodied in the Paris Bourse and exemplified by the fictional character of Aristide Saccard. Zola’s intent was to show the terrible effects of speculation and fraudulent company promotion, the culpable negligence of company directors, and the impotency of contemporary financial laws. (Think of Dodd-Frank in our time and how insiders have “noiselessly” dismantled it.)

The novel takes place in 1864-1869, beginning a few months after the death of Saccard’s second wife Renée (see La Curée). Saccard is bankrupt and an outcast among the Bourse financiers. Searching for a way to reestablish himself, Saccard is struck by plans developed by his upstairs neighbor, the engineer Georges Hamelin, who dreams of restoring Christianity to the Middle East through great public works: rail lines linking important cities, improved roads and transportation, renovated eastern Mediterranean ports, and fleets of modern ships to move goods around the world.

Saccard decides to institute a financial establishment to fund these projects. He is motivated primarily by the potential to make incredible amounts of money and reestablish himself on the Bourse. In addition, Saccard has an intense rivalry with his brother Eugène Rougon, a powerful Cabinet minister who refuses to help him after his bankruptcy and who is promoting a more liberal, less Catholic agenda for the Empire. Furthermore, Saccard, an intense anti-Semite, sees the enterprise as a strike against the Jewish bankers who dominate the Bourse. From the beginning, Saccard’s Banque Universelle (Universal Bank) stands on shaky ground.

In order to manipulate the price of the stock, Saccard and his colleagues in the syndicate, which he has set up to jumpstart the enterprise, buy their own stock and hide the proceeds of this illegal practice in a dummy account fronted by a straw man.

While Hamelin travels to Constantinople to lay the groundwork for their enterprise, the Banque Universelle goes from strength to strength. Stock prices soar, going from 500 francs a share to more than 3,000 francs in three years. Furthermore, Saccard buys several newspapers which serve to maintain the illusion of legitimacy, promote the Banque, excite the public, and attack Rougon.

The novel follows the fortunes of about 20 characters, cutting across all social strata, showing the effects of stock market speculation on rich and poor. The financial events of the novel are played against Saccard’s personal life. Hamelin lives with his sister Caroline, who, against her better judgment, invests in the Banque Universelle and later becomes Saccard’s mistress. Caroline learns that Saccard fathered a son, Victor, during his first days in Paris. She rescues Victor from his life of abject poverty, placing him in a charitable institution. But Victor is completely unredeemable, given over to greed, laziness, and thievery. After he attacks one of the women at the institution, he disappears into the streets, never to be seen again.

Eventually, the Banque Universelle cannot sustain itself. Saccard’s principal rival on the Bourse, the Jewish financier Gundermann, learns about Saccard’s financial trickery and attacks, losing stock upon the market, devaluing its price, and forcing Saccard to buy millions of shares to keep the price up. At the final collapse, the Banque holds one-fourth of its own shares worth 200 million francs. The fall of the Banque is felt across the entire financial world. Indeed, all of France feels the force of its collapse. The effects on the characters of L’Argent are disastrous, including complete ruin, suicide, and exile, though some of Saccard’s syndicate members escape and Gundermann experiences a windfall.

History itself is of course “bubbling along” and does not go away:

Because the financial world is closely linked with politics, L’Argent encompasses many historical events, including:

By the end of the novel, the stage is set for the Franco-Prussian War (1870–1871) and the fall of the Second Empire.

The twentieth century world and the twenty-first century one do resonate with Zola’s novel. That tells you, the student, that there are deep structures underlying endless changes.

The arrival of cars and planes, computers and lasers, internet and AI have not altered these substructures entirely and that is educational, since “then and now” thinking is part of a meta-intelligent (i.e., perspectival) education process.