Month: June 2026

Authored by Cláudia Ascensão Nunes via the Foundation for Economic Education (FEE),

Under the guise of fighting money laundering, the EU is making anonymous economic activity progressively harder…

Starting in July 2027, Europeans will no longer be allowed to pay businesses or professionals more than €10,000 in cash (roughly $11,500). Any transaction above €3,000 (just under $3,500) will require mandatory customer identification. This is another step toward political uniformity across Europe, stripping countries of autonomy and subtly pushing citizens toward the digital euro.

This measure, part of the new Anti-Money Laundering Regulation (AMLR), applies directly to all Member States. Under the pretext of fighting money laundering, Brussels is imposing yet another form of forced harmonization that ignores the principle of subsidiarity: the idea that decisions should be made at the level closest to citizens and national governments.

What was once a matter regulated by individual countries is now becoming a uniform mandate from Brussels.

This is a thinly disguised restriction not only on political freedom, but above all on economic freedom. Cash remains one of the last truly private means of exchange still available; unlike digital transactions, cash does not automatically create a centralized record accessible to banks or public authorities.

The use of cash is often associated with the intention to hide illicit activity. Yet the ability to conduct private and discreet transactions is a natural extension of property rights and freedom of contract. Many law-abiding citizens prefer cash for entirely legitimate reasons, including protection against financial instability or potential capital controls.

From that date onward, professionals will be forced to turn every transaction above €3,000 into a bureaucratic process involving identity verification, data collection, and the risk of penalties. This is yet another regulatory imposition that raises the cost of doing business, similar to the introduction of VAT in Europe decades ago, which pushed many small businesses to close their doors or move into the informal economy because of increased bureaucracy and compliance costs. Small entrepreneurs, already pressured by high taxes and excessive red tape, will once again bear the heaviest burden.

What were once simple voluntary exchanges will become sources of additional costs, delays, and state intrusion.

Once again, centralized authorities are creating regulatory complexity under the difficult-to-challenge justification of fighting crime, even though each country already has its own rules in this area.

More liberal countries such as Germany will lose flexibility, since they previously had no general limit on cash payments. The uniformity imposed by Brussels ignores cultural differences, particularly differing levels of trust in institutions. In some countries, cash culture remains deeply rooted, and confidence in digital systems is significantly lower.

This measure represents a gradual erosion of individual autonomy. If using cash becomes increasingly inconvenient for merchants and consumers, people will naturally migrate toward digital payments. Over time, this initially convenient shift will make the introduction of the digital euro far easier.

It is difficult to believe that it is mere coincidence that these restrictions are scheduled to take effect in July 2027 at roughly the same time the European Central Bank (ECB) plans to launch the first pilots of the digital euro. Cash becomes inconvenient and potentially risky at the same time digital money is presented as the practical alternative.

Once the principle is established that the state can limit private cash transactions, there is a strong tendency for those limits to become progressively stricter. European countries themselves demonstrated this pattern when they still controlled these rules nationally. Belgium, for example, steadily lowered its cash payment ceiling over the years to the current €3,000.

The most likely outcome is that the new European-wide limit of €10,000, which may seem relatively high today, will gradually be reduced further until using cash for most significant transactions becomes impractical. In reality, the vast majority of cash transactions are already well below this threshold. According to studies by the ECB, around 81 percent of all point-of-sale payments are below €25, and cash is predominantly used for small everyday purchases. This means that the €10,000 limit will mainly affect legitimate higher-value transactions, such as the payment of certain professional services that many citizens and small businesses still prefer to carry out in cash.

The digital euro, presented as a complement to cash, will arrive at a moment when cash has already been substantially weakened. Unlike cash, this system is traceable, programmable, and potentially subject to holding limits, expiration mechanisms, or usage restrictions.

China has already offered real-world examples. In several pilots of its digital yuan, authorities tested expiration dates on funds, meaning the money would lose its value if not spent by a certain date. This turns money from a reliable store of value into a tool that encourages spending according to government timelines. Such features demonstrate how programmable digital currencies can be used to control economic behavior, punish saving, and steer consumption in line with state priorities.

These are conditions fundamentally incompatible with the freedom that cash provides.

This accelerated yet discreet path toward a fully digital monetary system opens the door to an unprecedented level of financial surveillance and control in European history. By overriding the principle of subsidiarity, it will affect almost the entire continent.

The road to total societal control passes through the restriction of economic freedom.

Authored by Jennie Durant via TheConversation.com,

America’s bees and beekeepers are losing a valuable ally just when they need its help most.

The U.S. Department of Agriculture plans to soon close the Beltsville Agricultural Research Center, a 6,500-acre agricultural research station in Maryland that is home to the nation’s premier bee research and disease diagnosis hub, the Beltsville Bee Research Lab.

The closure comes at a critical moment for bees. In winter 2025, many beekeepers lost over half their operations as pesticide-resistant varroa mites spread, bringing deadly viruses. The losses have led to low honey production, and soaring fuel costs have made shipping bees cross-country for agricultural pollination increasingly expensive, further stressing the industry.

Beekeeping involves keeping colonies as healthy as possible. Often, beekeepers need help. Allagash Brewing/Flickr, CC BY

During my 14 years researching bees and beekeepers, and in writing my new book, “Bitter Honey: Big Ag’s Threat to Bees and the Fight to Save Them,” I’ve seen beekeepers frequently turn to the USDA bee labs for support during crises like this. Because honey bees contribute roughly US$15 billion to U.S. crop production – native and managed bees pollinate more than 130 crops – these labs help stabilize the nation’s food system.

Today, that scientific support system is at risk, just as beekeepers face their greatest challenges and native bee populations continue to decline.

Why the Beltsville Bee Lab matters

USDA’s bee researchers have served beekeepers for over 130 years, including nearly 90 years at the Beltsville station. One of the Beltsville Bee Lab’s standout services is its bee disease diagnostic service, where beekeepers can send samples for analysis free of charge.

Since the early 2000s, Beltsville researchers have helped beekeepers respond to varroa mites – a primary driver of high colony losses each year. Now, the lab is helping them prepare for a deadlier mite that is infesting honey bees in Asia, Tropilaelaps mercedesae, or “tropi” mites – by developing detection and response protocols that beekeepers can use to protect their colonies.

Varroa mites are the leading source of stress on honey bees, affecting half of all colonies at times. Other major stressors affect large numbers of colonies as well. Farm Doc Daily/University of Illinois

While the Beltsville Bee Lab supports beekeepers nationwide, it’s located in a prime farming and beekeeping region. Its closure would leave a critical research gap in the Northeast, where beekeepers help pollinate cranberries, squash, blueberries and other crops.

Its location has also allowed researchers to conduct extensive studies on winter colony losses, research that would be difficult to replicate at the remaining USDA bee labs, which are primarily located in more temperate climates.

Hidden costs of bee lab closures

The USDA states that it will decommission the entire Beltsville Agricultural Research Center because building maintenance and renovations would cost an estimated $500 million. But closing the lab could cost beekeepers, farmers and consumers far more.

For example, in winter 2025, beekeepers experienced their highest losses in U.S. history. Many opened their colonies in January that year and found that more than 60% of their colonies had died – nearly 1.7 million colonies nationwide. Beekeepers contacted Beltsville, and researchers quickly flew out to test affected colonies for pesticide residues, diseases and varroa mites, data that could help guide beekeepers’ treatment response.

Entomologist Jay Evans explains what the Beltsville Bee Lab does and the diseases bees face.

A few weeks later, as the lab’s scientists were working on the crisis, the Trump administration fired probationary researchers and staff at the bee labs, along with thousands of other employees across the USDA. The Beltsville team was hobbled, and the remaining staff restricted from communicating with beekeepers.

Because of the communication lockdown, it took nearly six months for researchers to deliver their findings. By then, the season was over and beekeepers had been forced to navigate the crisis on their own.

The loss of bee colonies ultimately cost beekeepers an estimated $600 million in lost honey production, pollination income and colony replacement costs – far more than the one-time projected costs to modernize the entire Beltsville Agricultural Research Center.

These losses can hit consumer pocketbooks too.

When beekeepers lose nearly half their operations, they often need to charge farmers more for pollination services to stay afloat. Those added costs can ripple through the food system and affect what everyone pays for the fruits, vegetables and nuts that depend on pollinators.

Beekeepers often transport their bees across the country to meet pollination needs and produce honey at different times of year. The map shows the movement of bees out of California to other states in summer and fall. Jennifer K. Bond, et al., USDA Economic Research Service, 2021

More cuts planned to US pollinator research

The Beltsville Bee Lab closure is not an isolated case. The administration has proposed eliminating the U.S. Geological Survey’s Ecosystems Mission Area, a move that could defund the USGS Bee Lab, an essential resource for research on native bees.

It also plans to decommission 16 USGS research centers nationwide, including the Northern Prairie Wildlife Research Center in North Dakota, the highest honey-producing state in the nation. For decades, beekeepers have brought colonies to forage on grasslands in the region. Researchers have been tracking how the shift from grasslands to crops has affected honey bee health and beekeeper revenue.

The U.S. Forest Service also faces widespread cuts, including the planned closure of 57 of its 77 research stations throughout the United States. Since the Forest Service manages over 193 million acres of federal lands that support native plants and pollinators, those closures could affect crucial pollinator habitat as well.

All kinds of bees are valuable for pollinating crops and flowers, not just managed honey bees. Jean Hort/Flickr Creative Commons

These closures risk a severe brain drain.

When the first Trump administration moved the USDA Economic Research Service from Washington to Kansas City, Missouri, in 2019, the agency lost over 75% of its experienced research staff. A recent survey suggests that history may repeat itself. If the reorganization goes through, farmers and beekeepers will lose experts with decades of institutional and technical knowledge.

The Beltsville Bee Lab is a key part of the often-unappreciated federal research infrastructure that supports the health of pollinators and the nation’s food supply.

If the USDA and the USGS move forward with their plans to close bee labs and research sites, the result could be slower responses to bee threats, weaker tracking of native bee populations and diminished pollinator habitat for bees – all of which raise costs and risks for beekeepers, farmers and everyone who depends on the food system.

Via The Cradle

US officials believe that a Chinese-made shoulder-fired missile was likely used by Iranian forces to shoot down a US F-15E Strike Eagle over southwestern Iran last month, NBC News reported Saturday. 

The incident marks the first time in decades that the US has had to acknowledge that one of its jets was shot down by enemy fire, although three F-15Es were also shot down in Kuwait in March. 

Washington insists the Kuwait incident was due to ‘friendly fire,’ even as Iran claims responsibility.

Following the downing of the F-15E in southwestern Iran, the Pentagon allegedly launched a two-day rescue operation to recover the aircraft’s two-man crew, whose names and photos have not yet been made public.

While US officials continue to investigate the specifics of the shootdown, intelligence sources suggest that Beijing may also have provided Tehran with an advanced, long-range early-warning radar, the YLC-8B, designed to track stealth aircraft. 

US President Donald Trump previously said that Chinese President Xi Jinping had personally “promised” him that Beijing would not supply military hardware to Iran, adding, “That’s a beautiful promise. I take him at his word. I appreciated it.”

However, reports of Chinese-manufactured man-portable air defense systems, or Manpads, being found on the battlefield have raised questions about those assurances. 

In response to the allegations, the Chinese Embassy in Washington issued a statement rejecting the claims as “groundless smear and ill-intentioned association,” saying that “China always acts prudently and responsibly on the export of military products,” in accordance with international regulations.

Recent US intelligence indicates that Beijing might be planning to supply more air defense weapons to Iran soon. 

Iran Suspected of Using Chinese-Made MANPADS to Shoot Down U.S. F-15E Fighter pic.twitter.com/nlZTMNV0JR

— Army Recognition (@ArmyRecognition) May 30, 2026

While China has historically provided an economic lifeline and dual-use technology to Iran, US officials noted that previous assistance has not had a “decisive operational impact” on the current conflict.

Authored by Chris MacIntosh vis InternationalMan.com,

In five years, we’ll all likely be chuckling and shaking our heads over AI. Because today, the tech feels free and limitless, doesn’t it?

People are generating endless content: images, videos, memes, code snippets, social posts. Companies are bolting AI onto products by default, the way every Fortune 500 company suddenly discovered they were “sustainable” five years ago.

There’s much deliberation on AI right now, and it splits into two main camps of thesis:

• The majority — those who will die on its hill of promise, convinced we’re months away from effective altruism, UBI, and sentient toasters.

• And the minority — usually older, more experienced types — who don’t fully understand it, but look at numbers, remember the dot-com bust, and think this rhymes. We’ll leave that debate to the dinner parties.

What interests us is something more boring. Physics. Because here’s the thing: AI isn’t free.

Every token represents electricity. Something your average developer, product manager, user, or investor gives precisely zero thought to.

Electricity means power plants, transmission lines, grid infrastructure — yes. It also means hot sheds; capital-intensive data centres and all the equipment, cooling systems, and real estate that go with them. Real things. Physical things.

We are surrounded by hype without consideration for the physics.

Right now, there’s a disconnect between the physical cost of this technology and the price users pay for it.

That gap is being covered by Wall Street, venture capital, pension funds, hyperscaler balance sheets, and strategic spending on “growth” (a word which here means “losses we’ve chosen to rebrand”).

The question is: what happens when that gap closes?

Scenario 1: The Industry Matures

No outright collapse, but financial discipline arrives. A novel concept in Silicon Valley. Low-value usage disappears first. “AI slop” dies because the people generating junk stop when it costs them actual money. Turns out nobody’s willing to pay real dollars to have a chatbot write their LinkedIn thought leadership posts. Tragic.

Serious users — those deriving profit or genuine productivity gains — remain. Growth slows but doesn’t stop. GPU upgrade cycles stretch from two years to three or five or seven. Valuations compress. The froth comes off but the infrastructure remains important.

The boardroom shifts from “infinite logarithmic growth” to “focus only on what’s profitable.” Less bubble burst, more long, slow leak of disappointment. A bit like ESG.

Scenario 2: Energy as the Arbiter

Now overlay structurally higher energy prices. You know, the thing everyone was told wouldn’t matter because we’d all be running on solar and unicorn farts by now. If power becomes materially more expensive while capital markets tighten simultaneously, the economics get a lot harder.

Inference costs rise. Training LLMs gets hella more expensive. Shareholders start feeling like they’re holding the next NFT apes. Spending slows sharply. Many AI firms disappear. Hyperscalers pull back, maybe with taxpayer assistance (they are, after all, strategically important to those in power — funny how that works).

GPU cycles extend further. Seven-plus years between major upgrades becomes normal outside the top tier. Markets correct hard. Confidence takes a long time to rebuild.

This is not the end of AI, but a reset. Users will fondly remember the “good old days” when it was free. When one could generate a movie scene and post on X about how they just ended a billion-dollar production company’s business model. Peak delusion makes for great content.

Scenario 3: AI Actually Delivers

There is also the upside case, though we admit it’s included here much like a “minority” conspicuously placed on a corporate board — a box-ticking exercise.

In this scenario, AI meaningfully increases productivity across enterprises. It reduces costs durably. It embeds itself in everything from coding to logistics to research. The sentient toaster.

Higher energy prices don’t kill demand because efficiency gains outweigh them. Hardware cycles remain short. Today’s valuations look justified in hindsight and Jensen Huang’s leather jacket gets its own wing at the Smithsonian.

For anyone familiar with us, you’ll know we think this is the most unlikely scenario. And yet it’s by far the consensus view. Which, if you’ve been paying attention to consensus views over the past decade (“inflation is transitory,” “ESG is the future,” “commercial real estate is fine”) should tell you something.

The gap between expectations and likely reality remains wide open. For Insider members, you’re familiar with the portfolio positioning and Nasdaq hedge.

What Really Matters

The key variable isn’t whether AI is impressive or useful (it is). The key variable is whether AI becomes a true profit engine or remains a subsidised cost centre dressed up in a hoodie and a TED talk.

If profitable and productivity-enhancing, current valuations are justified and the gravy train keeps chugging. If it remains mostly hype layered over weak economics, spending contracts, hardware cycles extend, and we could have an absolute humdinger of an economic “event.”

A ten-year stagnation would require something extreme: demand dropping significantly, hyperscalers becoming hyposcalers, capital markets wanting nothing to do with AI, and energy remaining expensive — all at once. Stranger things have happened. Just ask anyone who bought Peloton at $170.

Almost 50 years of history show this eventually reverts to the mean… and the pendulum swings the other way.

*  *  *

The AI boom is just one example of a much larger shift already underway—where economics, politics, energy, and culture are colliding in ways most investors are not prepared for. That’s why we’ve prepared a special report, Clash of the Systems: Thoughts on Investing at a Unique Point in Time. In it, you’ll discover the key trends unfolding right now, the risks they pose to your money and personal freedom, and what a contrarian money manager believes you could do to stay one step ahead. Get your free copy of Clash of the Systems now.

Authored by Neetika Walter via Interesting Engineering,

Researchers at the University of Illinois Urbana-Champaign have developed a way to stack high-performance silicon circuits directly on top of one another, a breakthrough that could help the semiconductor industry keep increasing computing power without shrinking transistors further.

The approach tackles one of the biggest challenges facing chipmakers as Moore’s law begins to slow. For decades, the industry boosted performance by making transistors smaller and packing more of them onto a chip. But as devices approach fundamental physical limits, further miniaturization is becoming increasingly difficult.

Instead of shrinking components, the Illinois team is building upward. By stacking multiple layers of silicon circuits, engineers can increase transistor density, reduce communication distances inside chips, and improve energy efficiency.

The researchers say their process could accelerate the development of monolithic three-dimensional chips, a long-sought technology that many experts see as the next step in semiconductor scaling.

Building Chips Upward

“Take something as simple as static random-access memory, which is universal in CPUs and GPUs. Today it takes six microelectronic devices called transistors on a single plane to store one bit of information. With vertical integration, you can distribute them across multiple layers. It’s like replacing a sprawling suburb with high-rises: you get the same functionality, but the spatial footprint is reduced while making communication between layers faster and more efficient,” said Qing Cao, associate professor of materials science and engineering.

While three-dimensional chip technologies already exist commercially, most rely on bonding together separately manufactured wafers. That approach creates relatively large connections between layers and limits how densely components can be integrated.

Monolithic three-dimensional integration takes a different route by building each circuit layer directly on top of the previous one. The method allows much denser vertical connections and more precise alignment between layers, potentially leading to faster and more efficient chips.

The challenge has been temperature. Manufacturing high-performance silicon devices typically requires temperatures approaching 1,000 degrees Celsius. However, once the first layer of circuits and metal wiring is completed, additional layers must remain below about 400 degrees Celsius to avoid damaging existing structures.

To overcome this barrier, the researchers developed a process that transfers ultrathin single-crystalline silicon nanomembranes onto completed circuit layers. The bonding process requires temperatures no higher than 200 degrees Celsius, staying well within the industry’s thermal budget.

Beyond Moore’s Limits

“Vertical integration is already starting to make its way into commercial devices, particularly in specialized AI hardware, but monolithic integration is what unlocks the full promise of 3D chips. For the first time, we have met the thermal budget of monolithic 3D integration using standard single-crystalline silicon and delivered unprecedented performance,” Cao said.

The team also redesigned transistor fabrication to avoid high-temperature processing steps. Instead of conventional transistor structures, they used junctionless transistors that can be prepared before the stacking process begins.

Using the technique, the researchers built three stacked silicon layers containing 625 transistors each. The devices achieved yields between 98% and 100% while delivering performance comparable to standard silicon transistors fabricated at much higher temperatures.

The researchers also demonstrated three-dimensional logic circuits and static random-access memory cells by connecting the layers with vertical metal links.

“But most importantly, we’ve shown that this process is scalable,” Cao said. “You can keep stacking layers beyond the three we demonstrated.”

The researchers are now working to transfer the technology into an industrial semiconductor foundry with support from industry partners including IBM, Intel, and TSMC.

The study was published in the journal Nature.