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Capitalism has elected AI as the next tool to distribute and dismantle labor, create a new power structure in the world, and repress social and political movements.
AI is being diffused throughout society under chatbots, models, and agents which are explicitly reactionary and create communicative and physical walls to defend the status quo.
Capitalism has elected AI as the next tool to distribute and dismantle labor, create a new power structure in the world, and repress social and political movements. Unchecked, it will bring us right up to a collapse brought on by war and climate chaos.
Forget about the Terminator stories of Artificial General Intelligence and Artificial Superintelligence. These are closer to sci-fi than to reality. We don’t need to speculate about things that don’t exist in the AI realm. What we do need to look at are the things that already exist and are being deployed massively.
The main objective of AI is the automation of historical automation itself. AI holds an irresistible promise for capitalist elites: to be able to automatically direct most of the instructions that guide human activity, reducing the power of social classes other than the owners of the algorithms. Complete economic and social planning for the rich. In particular, they want to reduce the power that the working class has exercised in the past, the power to push toward the future and gain the political, social, and economic transformations that reduce or eliminate inequality and injustice.
Data centers today are nightmare factories.
A key and complementary objective of AI is to create an overwhelming monopoly over knowledge, codified via Large Language Models, Computer Vision, Convolutional Neural Networks, and other Machine “Learning” models. This monopoly is being designed to utterly transform social relations and install a reactionary hegemony that widely surpasses neoliberal capitalism and feeds a far-right dystopia.
The third essential objective has to do with the control of violence and political repression. For that effect, AI provides different tools to be used in declared and now mostly-undeclared states of war. During the Gaza genocide, human targets were chosen with AI, its models were used to determine the biggest impacts for sequences of targets in order to achieve maximum infrastructure and human suffering consequences. Obviously, AI is used to maximize efficiency in all war logistics, calculating payloads, schedules, and material distribution. In Ukraine, most of the war is being conducted with drones, many of them autonomous and with self-selecting target capabilities powered by AI. Automated killing machines that don’t question orders or targets are not only available, but already deployed in different war fronts. On the other hand, automated political repression and persecution in the streets and protests is growing, though it is currently at the data gathering and training phase. In the USA, Immigration and Customs Enforcement is deploying different apps developed by companies like Palantir to maximize social disruption and to capture the most vulnerable people in the country.
There is huge pressure to prevent any meaningful regulation of AI, in particular for AI used by police and the military. Surveillance with facial (FRT) and body recognition is used outdoors to map out movements and participants in protests and actions. Mapping of movement connections and alliances can be done via online pattern recognition, as well as out in the streets. Automatic protest repression combined with purposeful miscommunication and disinformation might make the usual protests simply nonviable.
And of course, AI can is being used for hacking by private companies and states. Considering the hackable systems now in place throughout society and the economy—banking systems, social security, electric and transport systems, aviation and navigation systems, pension management, surveillance apparatus, healthcare systems and, of course, all the internet and the data in public and private servers—massively disruptive events at large or small scale are inevitable. Many political and social movements will be targeted. This can mean accounts erased, financial assets blockaded, and growing personal political repression via the suppression of communication capacities. This can also happen at a much bigger scale, targeting cities, countries or entire regions.
For the most important investments and political efforts, AI is being introduced as a labor replacement tool, a cultural hegemony monopoly creator, a military and surveillance weapon. Most of this is being done with people actively engaging and inviting the models into their everyday life (even more than it already was). The resistance to large data center projects is important and inspiring, but the overwhelming threat of AI goes well beyond its emissions, water consumption, and land occupation (although they plan on multiplying by many factors the current numbers, especially in Europe). Data centers today are nightmare factories.
So far, AI hasn’t been able to deliver on a key aspect: successfully automated processes that allow for the mass firing of people, substituted by effective algorithms. This is clear: 95% of all investment made by companies in AI has led to no profit, which is making capitalists nervous. But it hasn’t in any meaningful way stopped its spread.
When we say AI, we mean Machine Learning, Robotics, and Expert Systems. Currently AI is mostly a process of recognition, classification, and very high probability calculation, based on massive amounts of data with a good human interface. The interface is the most important trick for the general public. The public debate surrounding this issue is deeply anti-historical and anti-materialist, almost entirely it is white noise.
AI is not replicating or reproducing human intelligence. It is trying to encode human activities into repeatable procedures that can create reproducible algorithms. As it is not imitating our biological intelligence, it is trying to imitate what it can more or less “comprehend” about the previously referred algorithms—it is copying labor and social relations, their mechanisms and their predictable outcomes. Like other abstractions that rule our lives, such as money, algorithms produce real outcomes. AI ushers an irresistible promise for capitalist elites: to be able to automatically direct most of the instructions that guide human activity, reducing the power of social relations, in particular the power of the working class to impose political, social, and economic transformations that reduce inequality and injustice.
AI’s neural networks don’t mimic the human brain at all, but instead automate the “labor of perception,” classifying and interpreting written, numeric, and visual data and establishing associations. This creates a synthesis of knowledge, of the collective form of knowledge that comes from social cooperation. As explained before, another of its objectives has been to establish a monopoly over knowledge, scrapped from every website, database, online encyclopedia, and bite it is fed. It is then no wonder that Elon Musk and the far-right are going after Wikipedia.
These are some of the reasons why attempting to hard-code ethical rules or constraints into these models will not work, as they will not change the underlying political and economic functions of the data it is trained under and the algorithms generated and fabricated. Of course we understand that language itself is an algorithm, all the data as well and, of course, the internet as well. But with AI, we’re talking about a new level of control. The fundamental abstract purposes of AI as it exists now are the extension of quantification, control, and exploitation. The Labor Theory of Automation posits that AI is the result of a set of technological advancements that have abstracted automation to the point where it can automate itself. As we now have the technical ability to make such machines and capitalism has the economic incentive to massively deploy them, they want to use it to reorganize the division of labor even further in their favor. It is the apex of automation: Automation of Automation.
Facing such seemingly insurmountable odds, social and ruptural movements cannot but ask what to do about AI. There are basically two options: Drop out of the grid or acquire tech capabilities that allow us to resist the onslaught of these algorithms of collapse.
"When fascists, oligarchs, and warmongers gather in Davos, it is our duty to take to the streets," said the rally's main organizer.
Demonstrators in Zürich were blasted with a water cannon in subfreezing weather on Monday as they protested the pending arrival of US President Donald Trump, traveling to Switzerland this week to attend the annual World Economic Forum's gathering of global elites in Davos.
Chants of "Fuck Trump!" echoed through the streets of Zürich as thousands of demonstrators, some holding placards with messages like "Put Trumpster in the Dumpster" and "Trump Not Welcome," marched through Switzerland's largest city Monday night.
Participants protested the interconnected crises of capitalism, the worsening climate emergency, US imperialism, and the Trump administration's deadly anti-immigrant purge. They also condemned Iran's slaughter of protesters, the ongoing Gaza genocide, and attacks on Kurds in Syria. According to the Movement for Socialism (BFS)—the rally's main organizer—the Zürich protest was the largest of its kind since 2018, when Trump first attended the summit during his first term.
"In the tow of Donald Trump, a horror cabinet of warmongers, autocrats and corporate bosses will be in Davos," BFS said ahead of Monday's rally. "It is our political and moral obligation to resist the world of Trump and consorts."
[Zürich] Tausende Menschen lautstark und kämpfertisch auf der Strasse gegen Trump und das WEF! Gegen die Welt der Imperialismen!#TrumpStillNotWelcome #Antifa #smashWEF #FckTrump
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— sozialismus.ch (@sozialismus.ch) January 19, 2026 at 12:44 PM
Some demonstrators burned American flags to protest Trump's ongoing war-making and imperialist foreign policy, including the bombing of numerous nations, the recent unlawful military assault on Venezuela, and the illegal kidnapping of President Nicolás Maduro and his wife, Cilia Flores. There was particular ire over Trump's incessant threats to acquire the autonomous Danish territory of Greenland by any means necessary, including armed invasion.
According to police, some demonstrators set off firecrackers and smoke bombs along the march, while some protesters vandalized businesses and other property. Some people who took part in an "unauthorized" protest after the main march ended were blasted with a police water cannon, despite an air temperature of approximately 30°F (-1°C). People waving flags and symbols of Kurdish independence in Rojava were seen defiantly advancing as they were hosed down.
Police then fired rubber-coated steel bullets and tear gas at protesters after some of demonstrators allegedly pelted officers with objects including stones and fireworks.
The Swiss news site 20 Minuten reported dozens of people injured, including three police officers.
Hundreds of protesters also rallied in Davos, where they chanted slogans including, "The oceans are rising and so are we!" and held placards with messages like, "No War Profiteering!"
Bus stop ads with a photo of Elon Musk, Jeff Bezos, and Mark Zuckerberg with the caption, "Hey Davos Billionaires: Shut Up and Pay Your Tax" were seen around Davos and Zürich.
The same images and message were printed on a massive banner that was laid out in a field near Zürich's airport for arriving WEF attendees to see.
Dieses riesige Protest-Banner wurde heute im Anflugbereich des Flughafens Zürich ausgerollt, wo die #WEF Teilnehmer landen: «Hallo Davos-Milliardäre [[ Ihr seid das Problem ]] Haltet einfach die Klappe und zahlt eure Steuern!»@weforum.org
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— Jürg Vollmer (@juergvollmer.ch) January 20, 2026 at 1:56 AM
There were no reports of any violence at the Davos demonstration.
Ahead of Monday's protests, BFS asserted that Trump stands for oligarchy, patriarchy, fossil fuels, rising fascism, war, and imperialism.
Trump "represents a world in which the right of the fittest applies, in which genocides, wars of aggression, war crimes, regime-change operations, and economic blackmail constitute the means of international policy to maintain and expand imperialist systems of power and exploitation," the organization said.
"The WEF has always stood for the same world," it continued. "It is the world of capitalism [and] the increasingly right-wing authoritarian and violent character of this world, as it crystallizes in figures such as Trump."
"But there is also another world," BFS added. "It is worth fighting for this world. Let us organize ourselves together with all anti-fascist forces against the world of Trump and consorts!"
Children are getting more expensive for parents even as investment in future workers is becoming less cost-effective for employers. What should be done about it?
The Trump administration has suspended over $10 billion of federal childcare funds for five Democratic-led states over alleged fraud. So what if childcare in the United States is already outrageously expensive, much higher than in other developed countries? And why is it that childcare in the US is so expensive?
Socialist and feminist economist Nancy Folbre sheds light on these questions in the interview that follows by pointing out the various changes that have taken place over time in the organization of social reproduction and argues, in turn, that universal childcare, an idea that is becoming increasingly popular with voters across many parts of the United States, is very much needed.
Nancy Folbre is professor emerita of economics and director of the Program on Gender and Care Work at the Political Economy Research Institute (PERI) at the University of Massachusetts Amherst.
C. J. Polychroniou: You’ve written widely about the rising price of parenting. Despite concerns about a national birthrate that is now below replacement level, there seems to be relatively little public effort to increase economic support for parents and children in this country. Why?
Nancy Folbre: The undeclared wars the Trump administration is conducting include a brazen process of reducing public support for the next generation. This process began last spring when billionaire Elon Musk spearheaded budget cuts and layoffs in programs benefiting children and began dismantling the Department of Education. It escalated in the first week of 2026 when the administration used accusations of fraud from a partisan video of childcare centers in Minnesota as an excuse to freeze federal childcare funds to five Democratic states.
The strategy is transparent: Tar all social spending with a sticky claim of fraud and abuse. This includes spending on parents and children, already hurt by cuts to Medicaid, the Affordable Care Act, and the Supplemental Nutritional Assistance Program. These cuts have reduced the affordability of family care for all but the affluent, making a mockery of the Trump administration’s promises of prosperity for all.
An understanding of the deeper forces driving this strategy requires a deep dive into historical changes in the organization of our social reproduction.
A similar logic applies in a different direction to investments in us and our children—why risk them if they are not cost-effective? Robots may soon be cheaper, and they never go on strike OR vote.
Children are getting more expensive for parents even as investment in future workers is becoming less cost-effective for employers. Economic pressures became evident centuries ago when child labor was outlawed and technological change increased the demand for skilled labor. This shift in demand helped incentivize investments in public health and education that were financed by higher taxes. The need for future workers—and soldiers—also intensified the need for wages sufficient to support at least a modicum of family care.
While employers constantly sought ways to reduce labor costs, their need for an ample supply of skilled labor at least partially aligned their incentives with those of workers themselves through support for the so-called welfare state (better termed a “social investment” state) that helped develop and maintain the capabilities of the working population.
Fast forward to the present. The huge amounts of money being invested in artificial intelligence represent a new bet on reducing labor costs both directly (through reduced employment and wages) and indirectly (through reduced investment in health, education, and social services).
A recent Wall Street Journal headline put it this way: “AI Job Losses Are Coming, Tech Execs Say. The Question: Who’s Most at Risk?” The answer: most of us—because general artificial intelligence (AI) is likely to reduce private incentives to invest in humans rather than data centers. Elon Musk, who spearheaded efforts to cut federal spending in early 2025, is happily promoting Tesla’s new Optimus robot.
C. J. Polychroniou: You seem to be suggesting that class conflict affects public policies, which affect demographic outcomes (and vice versa). How do most economists think about these issues?
Nancy Folbre: Mainstream economists seldom pay much attention to collective identities or interests such as those based on class, gender, citizenship, or parenthood. Their general confidence in the efficiency of market forces makes them hopeful that that the labor market will adjust to changing prices—that new jobs will replace those rendered obsolete. However, college-educated, entry-level workers in the US are already experiencing diminished job prospects. Some economists predict that the “adjustment costs” will be high—a polite way of saying that the younger generation is in for an unpleasant economic shock.
Some ideological adjustment is also underway. The theory of “human capital” successfully promoted the view that the labor market would reward the skills represented by a college degree, reinforcing the claim that employees are generally paid according to the value of what they produce. The very term “human capital” suggests that there is no real distinction between capitalists and workers—everyone can be a capitalist by investing in their own earning power.
This utopian fantasy has long been countered by evidence that the environment people grow up in—including many factors well beyond their own control—shapes their economic trajectory. The fantasy is countered even more powerfully by evidence that the returns to a college education are now declining for individuals coming from low-income families. The surge of investment in AI raises the distinct possibility that the supply of “human capital” is likely to further exceed the demand for it, threatening downward mobility for a segment of the paid labor force once considered relatively secure.
Of course, even conservative economists recognize that a good education—from preschool to college--does more than merely increase lifetime earnings. It enhances the skills that people need to manage their own lives—skills like troubleshooting phones, making good decisions about what to buy, how to save, how to vote, and how to parent. Well-educated people live longer—and not just because they tend to earn more money.
But these benefits are not as profitable as increased productivity for a private firm.
Because they have characteristics of a public good, their economic contribution is difficult to measure, much less privately capture. Policies such as universal childcare, paid family or sick leave, and options to engage in employment from home yield significant economic returns, but these are not channeled directly to those who pay for them.
Standard economics textbooks note that firms have economic incentives to pollute the environment if this increases profitability, even if future inhabitants of the planet will pay a high price. A similar logic applies in a different direction to investments in us and our children—why risk them if they are not cost-effective? Robots may soon be cheaper, and they never go on strike OR vote.
C. J. Polychroniou: It sounds like you’re arguing that the theory of “human capital” no longer holds much water. But there are some economists out there who have articulated larger criticisms of capitalist institutions in general. How do these criticisms connect the rising private cost of children, fertility decline, and the possible obsolescence of the white-collar labor force?
Nancy Folbre: Kind of a long story, but I’ll keep it short! Economists like myself, influenced by socialist and feminist ideas, highlight the institutional arrangements that shape the distribution of the costs of raising children and the reproduction of human society itself. In many precapitalist societies, parents enjoyed at least partial payback for the costs of childrearing, as adult children contributed to family income and the support of their elders. Capitalist institutions encouraged labor mobility and reliance on individual earnings, weakening such family and community-based transfers.
Democratic engagement and bargaining over the role of the state gradually led to a different system of intergenerational transfers, taxing employers and the working-age population to help finance public education for the young and pensions and healthcare for the elderly.
This institutional compromise helped stabilize the process of “social reproduction” but also led to unequal distribution of its costs. It allowed employers to keep their contributions to the production of the next generation relatively low. It delivered fewer benefits to parents (those devoting time and money to producing new workers and taxpayers) than to non-parents. It also reinforced a gender division of labor that imposed a disproportionate share of the private costs of family care on women.
We can’t continue to treat care as a kind of expensive hobby rather than a productive contribution to our collective future.
These inequalities amplified increases in the private cost of raising children (for mothers in particular), encouraging efforts to limit family size. New technologies, increased demand for skills, and opportunities for employment outside the home also played an obvious role.
Until recently, fertility decline was considered an economic boon, allowing more women to enter paid employment and promoting the growth of Gross Domestic Product. As is now widely recognized, however, below-replacement fertility poses problems of its own. When women bear less than about 2.1 children over their lifetime, they don’t generate enough surviving children to “replace” their biological parents.
If this rate persists, the size of the youngest generation declines steadily over time, increasing the share of the elderly population relative to the employment-age, tax-paying population. The economic burden of increased old-age dependency increases political conflict over who should pay the costs—and can intensify the economic stresses of caring for younger dependents as well.
Reduction in the size of the global population offers some potential benefits, given current threats to the global environment (not to mention the dicey future of decent jobs). But if we prove unable to get back up to replacement levels of fertility at some point in the future, we will render ourselves extinct. I’d call that a pretty acute crisis of social reproduction.
C. J. Polychroniou: How can we avert such a crisis? Are you suggesting that we adopt pronatalist policies? How do responses in other countries differ from those in the US?
Nancy Folbre: No. We’re not in a state of demographic emergency and we don’t need to encourage a higher birth rate. Much of the global population is suffering from lack of decent employment. And the number of children in the US harmed by poverty makes investment in child health and education a much higher priority than increasing births here.
However, investments in child “quality” can help stabilize and strengthen private commitments. Many other countries are implementing policies designed to make family care more affordable. As is well-known, most affluent European countries have put such policies in place. South Korea began providing universal childcare services in 2013 and is now increasing parental leave allowances. Canada is a more nearby example, with its rollout of a new federal childcare system that will offer universal childcare services at a private cost of $10 a day. Within the US, both New Mexico and New York City are setting an example with new initiatives.
The US as a whole is lagging beyond for several reasons. Racial and ethnic divisions, regional differences, and exceptionally high levels of earnings inequality have weakened the solidarity needed to build a “pro-care” coalition. Imperialist rhetoric and illegal military actions have literally bloodied the water.
As I argue in my forthcoming book, Making Care Work, we need to do a better job explaining the public benefits of investment in human capabilities, including the care of people experiencing illness, frailty, or disability. We can’t continue to treat care as a kind of expensive hobby rather than a productive contribution to our collective future.
Let’s talk about how to move forward in another interview—I think that a universal basic income will be part of the solution, even though it will face vehement opposition. Will employers invest in our kids? Only if we can make them.