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Peter Pan Tariffs for Companies That Never Grow Up

22 October 2026 at 21:57
A green tinted background of U.S. paper money with a businessman standing on it who has a shadow that looks like Peter Pan | Illustration: Patrick Bryk/Dreamstime./Midjourney

Of all the arguments for protectionism, the infant industry argument probably has the strongest theoretical appeal. By protecting a new industry from its more developed foreign competition, the story goes, tariffs give domestic producers the time to grow, learn, and become efficient enough to stand on their own. Domestic consumers feel the short-term pains of higher prices, but they enjoy the long-term gains of job growth and lower prices as the new industry blossoms.

It's no secret that tariffs have driven significant price increases over the last year and a half. A study from the New York Federal Reserve finds that tariffs "contributed 2.9 percentage points to goods price inflation" and that without tariffs those prices would have slightly declined. Tariff defenders, looking for a new reason to claim these higher prices are only temporary, have reimagined the infant industry argument. Now it's being used to support trade barriers in industries that are over a century old, but the promise is exactly the same: Domestic firms need the protection so they can compete, innovate, and cut costs until prices come back down even further than they were before the tariffs.

Michael Brendan Dougherty recently made such an argument in National Review, arguing that "tariffs can, over time, bring prices below where they started." When economist Don Boudreaux called the argument "bizarre," Dougherty replied that critics had failed to acknowledge the dynamic process by which markets respond to tariffs "by adapting and cutting costs." Although he is light on specific details, he posits that the changed incentives of a "paradigm shift" in tariff policy will spur domestic competition, leading to the theorized price reduction. Of course, firms would still respond to the dynamic processes of domestic competition without a tariff wall, but the point stands.

From there, the reworked infant industry argument becomes the standard version advanced more than two centuries ago by Alexander Hamilton and his disciple Friedrich List. When Hamilton made this claim in 1791, his argument may have seemed suitable for a new nation seeking to firm up its economy and security against established European powers.

Others at the time pointed out that special interest groups—a manifestation of the "violence of faction" so thoroughly dissected in the Federalist Papers—had already begun to coalesce around the fledgling iron industry in Pennsylvania, clamoring for protective tariffs. Two years earlier, James Madison had warned about a "premature policy of stimulating manufactures" driving tariffs too high. In the end, Hamilton recommended and Congress enacted a far more moderate tariff schedule than his theoretical musings portended. American iron manufacturers received a consolation prize of a higher tariff on their competitors than the rate for most general imports. Hamiltonians have been touting the infant industry argument ever since.

Nearly 250 years later, those same infants apparently have yet to advance into adulthood. Steel, the direct successor to the founding-era iron manufacturers, remains a singular focus of President Donald Trump's protectionist tariff policies, just as it was under former President Joe Biden. And former President George W. Bush before him. Indeed, steel has been a recurring beneficiary of protectionism for most of America's existence.

This extended period of protectionist infancy suggests that the argument needs a new name. We propose the "Peter Pan industry argument" for companies that never grow up because tariffs make sure they never have to.

The question tariff advocates rarely ask is: Why do some American producers have higher costs than foreign rivals even in the face of lower-cost foreign competition? The answer comes down to specific rules and choices within particular firms and industries. Tariffs, and protectionism in general, address none of these. No industry illustrates this like steel, but it is far from the only one.

In 1947, United Steelworkers won a contract provision known as Section 2-B. Among other things, this barred mill managers from changing established work practices unless new technology required it. Steel companies tried to get rid of this in 1959, finding it difficult (given union incentives) to establish that technology required change. In response, 500,000 steelworkers went on strike for 116 days. This strike sent buyers abroad, causing 1959 to be the first year the U.S. imported more steel than it exported. One of the then-new technologies that was delayed was basic oxygen furnaces, which could produce steel far faster and cheaper than the open-hearth furnaces that were so common. In 1965, only about 17 percent of steel made in the U.S. was made using the basic oxygen furnace. Japan produced 55 percent of its steel with this faster, more efficient method.

Change finally came from a steel customer. Vulcraft, a maker of steel joists, grew tired of paying Big Steel's prices and waiting for Big Steel's deliveries. In 1969, free from steel unions and preconceived notions, the company looked for new steel-producing technologies and found the answer in the electric arc furnaces that had been adopted in much of the world throughout the 1950s and '60s. Vulcraft's parent company later renamed itself Nucor, and minimills like the ones it pioneered now make most of America's steel.

So the modern steel industry was built by a frustrated steel buyer who found a way around protected companies. In other words, the U.S. steel industry has lagged behind the technologies found around the world.

We could go on, but the broad point here is that the "relatively higher domestic production costs that made the tariff 'necessary' in the first place," as one critic put it, are often the result of preventing competition in the first place. It's odd to suggest that further preventing competition through tariffs will somehow alleviate the ills of already-prevented competition.

Tariff advocates fail to acknowledge that the ability to import steel also comes with the benefit of access to cheaper steel for steel-using industries, such as manufacturing. A 50 percent tariff on steel further closes the release valve that imported steel offers. Buyers of steel are then left to purchase more of the more expensive domestic steel. Because new steel mills take years to bring online, this causes delays and longer delivery times for manufacturers.

We don't have to wonder what happens when a country lowers its tariffs on materials used by manufacturers. India did this in the '90s, and researchers found that newly available inputs accounted for 31 percent of the new products that Indian manufacturers introduced. And what happens when the U.S. imposes tariffs on steel? Downstream U.S. firms become less competitive. This is why American businesses clamor for exemptions to tariffs, especially for tariffs on materials like steel.

Perhaps all this could be forgiven if tariffs advanced national security concerns, as tariff advocates assert. They point out that an adversarial nation could cut off supplies of critical materials during wartime and cripple America's ability to defend itself. Unfortunately, tariffs fail there too.

First, this conflates production with access. While domestic production does ensure domestic access, access can be secured without production. In the case of steel, the Commerce Department reports that in 2025, the U.S. imported steel from 79 countries, with Canada being our top foreign supplier. The top 10 sources of steel are responsible for 77.8 percent of America's steel imports. None of those countries were considered adversaries—at least not until the tariff crusades pushed these friends away. What's more, according to the American Iron and Steel Institute, only 23 percent of finished steel in the U.S. was imported in 2024. Far from being exposed to foreign states' whims, American access to steel is incredibly resilient.

Second, this view ignores the positive effects of trade and globalization on national security. The Center for Strategic & International Studies finds that increased trade between countries reduces the likelihood that they'll go to war against one another. Globalization helps ensure that domestic access continues unabated should war break out, thanks to the diversity of trading partners.

When Hamilton made the infant industry argument, he at least assured us that the industry would at some point advance to adulthood and stand on its own. Steel, like so many other Peter Pan industries, has proven Madison right. These industries have refused to grow up, and it's time to stop pretending that tariffs will fix that.

The post Peter Pan Tariffs for Companies That Never Grow Up appeared first on Reason Magazine.

De baterías a materiales del futuro: el MIT creó una IA que podría identificar compuestos prometedores

22 October 2026 at 21:48
Investigadores del MIT desarrollaron un modelo de inteligencia artificial capaz de interpretar la estructura atómica tridimensional de los materiales (Imagen Ilustrativa Infobae)

Encontrar el material ideal para una tecnología específica podría volverse tan sencillo como describirle a una inteligencia artificial qué propiedades debe tener. Investigadores del Instituto de Tecnología de Massachusetts (MIT) desarrollaron un modelo que no solo procesa texto, sino que puede “ver” cómo están organizados los átomos de un material en tres dimensiones y razonar sobre sus características y usos. El sistema, descrito en la revista Nature Communications, podría acelerar un proceso de descubrimiento que hoy puede llevar años de prueba y error, informó MIT News, el portal de noticias del instituto.

Los cristales poseen disposiciones atómicas altamente ordenadas y representan más del 90% de los materiales sólidos de la Tierra. Sin embargo, los modelos de inteligencia artificial actuales enfrentan dos limitaciones para trabajar con ellos: la literatura experimental se concentra en unas pocas clases de cristales, lo que sesga sus respuestas hacia esos materiales, y al estar entrenados solo con texto, no pueden interpretar las estructuras tridimensionales que definen el comportamiento de un cristal.

Para superar esas barreras, el modelo desarrollado combina las estructuras atómicas en 3D con descripciones en lenguaje natural obtenidas de publicaciones experimentales y bases de datos computacionales basadas en primeros principios. En lugar de depender exclusivamente de trabajos ya publicados, el equipo optó por generar narrativas sobre los materiales a partir de esas fuentes. “Descubrimos que, cuando usamos ese conjunto de datos narrativo, los modelos predicen mejor la función”, explicó Ju Li, profesor Carl Richard Soderberg de Ingeniería de Potencia en los departamentos de Ciencia e Ingeniería de Materiales y de Ciencia e Ingeniería Nuclear del MIT.

El resultado es una caracterización que reúne composición química, estructura, propiedades, consideraciones de procesamiento y aplicaciones potenciales.

Esta infografía detalla cómo el modelo del MIT que vincula lenguaje y estructuras tridimensionales para hallar nuevos materiales (Imagen Ilustrativa Infobae)

La estructura atómica como vínculo con el desempeño

El equipo empleó aprendizaje contrastivo, un método que entrena al modelo mediante la comparación entre ejemplos similares y diferentes de estructuras y descripciones. Así buscó construir una comprensión compartida entre la disposición espacial de los átomos y el lenguaje utilizado para describirla.

“La estructura está realmente en el centro del campo de la ciencia de materiales”, afirmó Li. “Si se entiende la estructura, se puede inferir bastante sobre las propiedades y el desempeño de los materiales. Queríamos construir para el modelo la conexión entre la estructura atómica de un material y sus propiedades y procesamiento”.

Para validar el enfoque, la investigación comparó dos versiones del sistema: una entrenada con descripciones generadas por inteligencia artificial y otra alimentada únicamente con textos de artículos científicos. La primera logró relacionar las geometrías cristalinas con sus descripciones lingüísticas; la segunda no alcanzó esa asociación.

El sistema combina estructuras atómicas en tres dimensiones con descripciones narrativas elaboradas a partir de bases de datos computacionales (Imagen Ilustrativa Infobae)

Búsqueda de electrolitos para baterías de estado sólido

Los investigadores mostraron que el modelo puede recibir una consulta en lenguaje natural que describa una propiedad y, a partir de ella, identificar materiales cristalinos con esa característica.

Cuando se le pidió encontrar materiales aptos para electrolitos de baterías de litio de estado sólido, los primeros resultados incluyeron compuestos que ya habían sido señalados de forma independiente como candidatos prometedores.

“A veces se producen estos saltos dentro de la ciencia de materiales en torno a la integración algorítmica hacia herramientas útiles, que la comunidad utiliza para seguir avanzando en el campo”, dijo Elsa Olivetti, profesora Jerry McAfee (1940) de Ingeniería en el Departamento de Ciencia e Ingeniería de Materiales del MIT.

“Este enfoque nos ayuda a observar con mayor profundidad las estructuras tridimensionales y a vincularlas con las propiedades y el procesamiento. Espero que pueda ser uno de esos saltos”, agregó.

Li comparó el potencial de esta herramienta con AlphaFold, el modelo de inteligencia artificial que relaciona las estructuras de las proteínas con sus funciones y que contribuyó a la investigación biológica y al desarrollo de fármacos. “Poder ver un cristal tridimensional y cómo están conectados sus átomos es algo fundamental. Creo que esto será útil para cualquiera que practique la ciencia de materiales”, sostuvo.

VIDEO: Obispos rodean a Trump y piden proteger a EE.UU. de la "influencia del mal"

22 October 2026 at 21:40
Preview El presidente de Estados Unidos, Donald Trump, fue visitado este 22 de octubre en Casa Blanca por arzobispos y obispos católicos, quienes lo rodearon y elevaron una oración junto con él. En el video difundido se ve parte de su oración: "Gracias por el don de este cargo y de la presidencia, aunque nuestros corazones y nuestras mentes se vean sumidos en el conflicto […] Te pedimos, Espíritu Santo, que nos ayudes a rodear nuestro país para protegernos de cualquier influencia del mal".

Rogue AI agents infiltrating US bank accounts – Axios

By: RT
22 October 2026 at 21:39

Major lenders are restricting outside assistants amid fears they could act beyond customers’ instructions and move money

Major US banks have detected outside artificial intelligence agents operating inside customer accounts, with some appearing to attempt actions beyond users’ instructions, Axios reported on Thursday.

AI agents are designed to complete tasks on users’ behalf, potentially making purchases, paying bills or moving money. Customers often give them permission and login credentials, but this can violate banks’ rules requiring account holders to log in themselves.

Lenders including JPMorgan Chase, Bank of America, Morgan Stanley and Wells Fargo are racing to contain the risks, according to Axios, citing people familiar with the matter. Some have tracked agents contacting call centers or apparently acting independently of customer instructions.

Bank executives described the situation as “horrifying,” according to the outlet. One said lenders struggle to distinguish between authorized assistants and agents that have gone rogue.

JPMorgan, Bank of America, and Citi have now started restricting outside agents’ access, while Morgan Stanley has reportedly begun blocking them from its platforms. Chase has also urged customers not to share usernames and passwords with AI agents.

Read more
FILE PHOTO: Sarah Breeden, Bank Of England's Deputy Governor for Financial Stability.
AI agents could trigger market meltdown – Bank of England

Banks generally allow, or are developing, limited access that lets outside tools view balances and other account information without moving money. However, they are now also preparing emergency plans to protect accounts and restore customers’ access if something goes wrong, Axios reported.

The banks have also expressed fear of losing profitable deposits. The Financial Times reported last week that AI assistants could move customers’ cash to banks offering better rates, forcing lenders to pay more interest to keep those customers.

The concerns come amid a string of reports of AI agents acting beyond their instructions and accessing outside systems without permission. The Wall Street Journal reported last month that OpenAI shelved its planned GPT-6.1 Astra model after testing revealed more deceptive behavior than its predecessors. The system sometimes failed to disclose its actions to human operators and attempted to use potentially unsafe external tools.

READ MORE: AI agents disabled safeguards and one denied it – OpenAI

Earlier incidents included OpenAI agents escaping their testing environment and accessing servers belonging to Hugging Face, an online repository for AI models and datasets.

Financial regulators have warned that autonomous systems could also destabilize markets. Bank of England Deputy Governor Sarah Breeden warned in June that agents reacting alike to the same signals could buy or sell simultaneously, making market swings more severe.

She urged regulators to consider emergency “kill switches” that could halt trading if faulty AI systems triggered a market meltdown.

Rogue AI agents infiltrating US bank accounts – Axios

By: RT
22 October 2026 at 21:39

Major lenders are restricting outside assistants amid fears they could act beyond customers’ instructions and move money

Major US banks have detected outside artificial intelligence agents operating inside customer accounts, with some appearing to attempt actions beyond users’ instructions, Axios reported on Thursday.

AI agents are designed to complete tasks on users’ behalf, potentially making purchases, paying bills or moving money. Customers often give them permission and login credentials, but this can violate banks’ rules requiring account holders to log in themselves.

Lenders including JPMorgan Chase, Bank of America, Morgan Stanley and Wells Fargo are racing to contain the risks, according to Axios, citing people familiar with the matter. Some have tracked agents contacting call centers or apparently acting independently of customer instructions.

Bank executives described the situation as “horrifying,” according to the outlet. One said lenders struggle to distinguish between authorized assistants and agents that have gone rogue.

JPMorgan, Bank of America, and Citi have now started restricting outside agents’ access, while Morgan Stanley has reportedly begun blocking them from its platforms. Chase has also urged customers not to share usernames and passwords with AI agents.

Read more
FILE PHOTO: Sarah Breeden, Bank Of England's Deputy Governor for Financial Stability.
AI agents could trigger market meltdown – Bank of England

Banks generally allow, or are developing, limited access that lets outside tools view balances and other account information without moving money. However, they are now also preparing emergency plans to protect accounts and restore customers’ access if something goes wrong, Axios reported.

The banks have also expressed fear of losing profitable deposits. The Financial Times reported last week that AI assistants could move customers’ cash to banks offering better rates, forcing lenders to pay more interest to keep those customers.

The concerns come amid a string of reports of AI agents acting beyond their instructions and accessing outside systems without permission. The Wall Street Journal reported last month that OpenAI shelved its planned GPT-6.1 Astra model after testing revealed more deceptive behavior than its predecessors. The system sometimes failed to disclose its actions to human operators and attempted to use potentially unsafe external tools.

READ MORE: AI agents disabled safeguards and one denied it – OpenAI

Earlier incidents included OpenAI agents escaping their testing environment and accessing servers belonging to Hugging Face, an online repository for AI models and datasets.

Financial regulators have warned that autonomous systems could also destabilize markets. Bank of England Deputy Governor Sarah Breeden warned in June that agents reacting alike to the same signals could buy or sell simultaneously, making market swings more severe.

She urged regulators to consider emergency “kill switches” that could halt trading if faulty AI systems triggered a market meltdown.

NYC Council quietly passes bill that forces owners to give nonprofits first dibs on buying their properties for 90 days

22 October 2026 at 21:34
The City Council quietly passed a controversial bill that would give nonprofits the first shot at buying up distressed Big Apple properties. The “Community Opportunity for Purchase Act,” or COPA, requires some sellers to delay putting their properties on the open market for 90 days while “community land trusts” and other nonprofits have an exclusive...

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