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Deflation Is Not The Villain - The Overleveraged Fiat System Is

Authored by Nick Giambruno via International Man,

It is important to clarify something here.

While mainstream economists, the financial media, academia, and other gatekeepers of the rotten fiat currency system howl about the dangers of deflation, it is worth taking a moment to consider whether it is really such a bad thing.

First, it is important to define our terms.

The correct and true meaning of inflation is an increase in the money supply. So the correct and true meaning of deflation is a decrease in the money supply. But that is not what most people mean when they refer to deflation, because the money supply rarely contracts in a fiat monetary system. When most people say deflation, they mean a general fall in prices.

One of the biggest popular misconceptions in economics is that a general fall in prices is a "bad thing."

It is an enormous misnomer. Falling prices caused by increases in productivity are actually a good thing. Who does not want to see their money go farther?

Technology is naturally deflationary. It drives down costs, increases efficiency, and makes goods and services cheaper over time.

In an honest monetary system, that would mean falling prices and rising purchasing power. In other words, your money would buy more as technology advances.

But that is not how the current system is designed to work. In fact, it does the opposite. It is like running on a treadmill that keeps accelerating.

In a fiat currency system, deflationary increases in productivity are more than offset by inflation, which benefits people who own stocks, houses, and other assets that rise with inflation, and hurts those who depend on wages denominated in the debased currency.

In short, in a fiat currency system, the benefits of deflationary technology primarily accrue to asset holders, because the forced inflation created by central banks pumps up asset values.

If we were living under an honest, hard-money monetary system, where the benefits of technology would not be offset by central banks debasing the currency, those gains would accrue more evenly across the population.

That is why I think the chart below is instructive.

It is a long-term view of real wages versus productivity.

The two tracked together well for decades, showing that as productivity increased, real wages did too. In other words, most people benefited from increases in productivity through higher real wages.

Then something changed around 1971, when that strong positive correlation broke. It was the year the US government cut the dollar's last link to gold and the dollar became a pure fiat currency.

Since 1971, there has been a growing gap between productivity and real wages.

If you could transport yourself back to the early 1970s, just as the divergence between productivity and real wages began, and ask people what they thought 2026 would look like, they might have said something like The Jetsons - flying cars, advanced technology, and a society in which everyone was better off.

They probably would not have believed you if you told them that, in reality, people would be worse off in many ways in 2026 than they were in the early 1970s, despite enormous technological progress. We may not have flying cars or The Jetsons, but there have still been significant advances. Yet people's standard of living has declined in many ways.

Today, many people are bewildered by how people could be worse off now than they were then. The answer is in this chart, which shows that the fiat system and currency debasement are the problem.

Despite advances in technology, the shocking level of currency debasement has not merely kept pace with the natural deflation that comes from increased productivity, but has vastly outpaced it... which is why people are, in many ways, worse off today than they were in the early 1970s. That prosperity has been stolen by inflation and fiat currency.

Since 1971, productivity has continued to increase, largely thanks to advances in technology, but those gains have not translated into growth in real wages as they had in the past under an honest money system. That is because under a fiat currency system, the central bank - the Federal Reserve - has created significantly more inflation than the gains in productivity, which meant real wages did not keep up.

However, those productivity gains from advancing technology did not just disappear. They were redirected somewhere else. They accrued primarily to asset holders, as wage earners chased rapidly depreciating fiat currency.

In short, the fiat currency system is a mechanism for transferring wealth created by technological productivity gains to asset holders and politically connected insiders closest to the money printer.

Frankly, it is a disgusting, dishonest system that operates at the expense of honest people.

But that is the nature of the monetary system we are all forced to live under. And it is wise to acknowledge it, understand it, and take action to protect yourself.

And now, with AI bringing a mind-bending level of productivity gains, this dynamic is about to go into overdrive.

I suspect we will see the gap in the chart above explode even further as AI, and future breakthrough technologies, produce the biggest productivity gains in human history, even as the US government is forced to create the largest amount of inflation in history to try to keep the debt-ridden fiat system going in the face of this historic disruption.

In other words, as technology becomes exponentially more deflationary and debt grows exponentially larger, the central bank's response will have to become exponentially more aggressive.

That means more debasement of your purchasing power to fight the very force that should be making your life cheaper.

Clearly, you want to be an asset owner in this environment so you can protect yourself from currency debasement and also benefit from tech-driven productivity gains.

But what assets should you own? I will get to that soon.

If we lived under an honest monetary system anchored in hard-to-produce money like gold, I think there would be far fewer worries about AI automation and disruption. That is because we would not live under a debt-ridden fiat system in which the government is forced to debase the currency. That would mean increases in productivity from technology would benefit far more people, as their money would go farther, prices would generally fall, and the cost of living would decline. And the government would not try to offset that with inflation.

In such a world, I do not think AI would be nearly as controversial, because it would be seen as making the average person wealthier by reducing the cost of living.

So technological deflation that increases productivity and lowers prices is most certainly not a bad thing, as the fiat economists would have you believe. It is a wonderful thing and should create more abundance and make most people wealthier... in an honest monetary system.

That is why the whole framing around this issue needs to be challenged. It is not technology that is the problem. It is the fiat currency and the highly leveraged system that is the problem.

It is also why you see charlatans promote things like universal basic income (UBI) as a solution to the supposed AI problem.

The solution to the non-problem of technological increases in productivity is most certainly not a UBI, but rather an honest hard-money monetary system in which everyone generally benefits from increases in productivity - not just asset holders and politically connected insiders closest to the money printer.

Throwing the plebs a few crumbs with a UBI to help prop up a failing debt-based fiat currency scam is not a real solution. But thankfully, there is a real solution.

It starts with understanding the monetary, economic, and political forces driving this crisis - and taking practical steps before the next major wave of instability hits.

The fiat system is already under enormous pressure from sky-high debt, endless money printing, and accelerating technological disruption. The people who understand what is happening will be in a far better position than those who are blindsided by it.

That is why I put together a free special report focused on practical solutions - the top three strategies to help protect your money, preserve your freedom, and prepare for what comes next.

Tyler Durden Tue, 06/30/2026 - 17:00
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Katz Says Israel Could Be Back At War With Iran 'Tomorrow'

Authored by Dave DeCamp via AntiWar.com,

Israeli Defense Minister Israel Katz said on Monday that the Israeli military was ready to restart the war against Iran and that it could happen as soon as "tomorrow".

Katz vowed that Israel would bomb Beirut's southern suburb of Dahiyeh if Hezbollah rockets were fired into northern Israel and that the IDF was prepared to respond if that prompted Iranian attacks on northern Israel.

Katz visiting Israeli troops in southern Lebanon on February 2, 2025. Israeli Defense Ministry photo

"There is no reality in which Israel will not respond to an Iranian attack," Katz said, according to Israel Hayom. "The equation stands – rocket fire on Israeli communities means an immediate assault on the Dahiyeh. The possibility exists that Iran will attack Israel not only in response to strikes in the Dahieh. We could find ourselves at war with Iran tomorrow."

The Israeli minister said that a second potential scenario that would lead to a renewed war with Iran would be if President Trump decides to restart the bombing campaign.

"There are two scenarios that would resume full-scale fighting – a decision by President Donald Trump or Iranian missile fire. This could happen in two days," he said.

Katz also insisted that Israel was ready to fight Iran on its own, which he called a "blue and white operation," despite the fact that Israel is extremely reliant on US air defenses.

"The IDF is just waiting for it. We have selected targets to strike in Iran, and the IDF is prepared and alert, but we will not interfere with the US President’s current moves vis-a-vis the Iranians," he said.

Katz also boasted about the destruction of Shia Muslim villages in southern Lebanon. "It was clear during Operation Silver Plow that the Shia villages along the contact line had to disappear," he said, using the codename for Israel’s recent operations in southern Lebanon.

"We are currently in a situation where there is nearly 100% destruction in the contact-line villages of the western and central sectors. In the eastern sector, we are at 73% of villages destroyed," Katz added.

Tyler Durden Tue, 06/30/2026 - 15:40
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Mega Heat Dome Inbound For Washington, DC

A massive heat dome is set to descend on the eastern half of the U.S., stretching from the Midwest to the East Coast and putting more than 230 million people in the crosshairs of temperatures above 90F, while millions will experience triple-digit temperatures during the Fourth of July holiday week and into weekend festivities.

The Midwest will be the epicenter of the heat dome early in the week, with metro areas such as St. Louis and Detroit climbing into the mid- to upper 90s.

By Wednesday, the heat shifts eastward, threatening record highs across Washington, Baltimore, Philadelphia and New York City, where temperatures are expected to exceed 100F over multiple days.

Meteorologist Ryan Maue described it as a "mega heat dome" that will produce "record highs (daily) for almost the entire Eastern Seaboard from Maine to South Carolina."

"Fire up the grill, buy plenty of ice 🧊 for your favorite beverages, get your pool floaties in order, and prepare for an extremely hot and humid Independence Day weekend across the Eastern United States with temperatures well over 100°F," Maue wrote in the note.

Bloomberg's two-week forecast for average temperatures across the Washington, D.C., metro area indicates the heat dome will linger until nearly the midpoint of the month. Temperatures are forecast to return to the 30-year mean of around 78F.

This is not global warming - just entering peak summer in North America.

To note, there are mounting El Niño risks (read here & here).

Tyler Durden Mon, 06/29/2026 - 15:00
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Chinese AI Matches Mythos In Cybersecurity Tasks With Open-Weight Model

While Anthropic has been forced to shut down its latest general-use models for over two weeks after it emerged that the company's de-tuned public-facing Fable 5 model could be 'jailbroken' into its unrestricted form (Mythos 5) to perform tasks that pose security risks, a Chinese AI company backed by Alibaba and Tencent has released a model that matches the performance of Mythos in some cybersecurity scenarios. 

The company, Zhipu AI - also known as Z.ai, can match the latest US models when it comes to finding security bugs - though it still lags at other tasks, according to the Wall Street Journal

Overall, the capability gap between top U.S. models and those built by Chinese companies has narrowed significantly, and use of Chinese AI systems has surged as businesses seek to rein in runaway costs. A host of companies, including Microsoft, are weighing how they can offer Chinese models on their platforms, a development that is set to alter the balance of power among tech companies.

What's more, Zhipu's GLM-5.2 is an open-weight model, meaning it can be downloaded and run on hardware by anyone and can be modified and used without supervision - which hackers are undoubtedly loving. 

GLM-5.2 has ranked as one of the 10 most-used AI models, according to data from OpenRouter, a company that provides access to more than 400 AI models. In some benchmarking tests, according to the cybersecurity company Semgrep, GLM-5.2 bested Anthropic’s Claude Opus 4.8 model, which was released in May. When given further instructions, Opus 4.8 and GLM-5.2 can match Mythos in bug-finding ability, according to researchers.

As we noted last week for our premium subscribers, this is how Goldman's Delta One head, Rich Privorotsky framed the latest Chinese shock to the system from open-weight models: 

The big development over the last couple of days has been GLM-5.2, another Chinese open source model that appears highly competitive on SWE benchmarks relative to some of the latest private models. It is not quite cutting edge, but the gap between open and closed models continues to narrow. The weights are open (MIT license), models can be distilled, quantized and reproduced...its a big leap in capability and a clear sign the field is narrowing.

It's not just some of Wall Street's top thinkers who were immediately drawn to the stats of the latest Chinese offering: various industry insiders were in shock.

Artificial Analysis’ new knowledge work benchmark rated it higher than GPT 5.5

"This kind of powerful weapon that can alter the landscape of cyberwarfare can’t remain solely in American hands," Zhou Hongyi - CEO of Chinese cybersecurity company 360 Security Technology, speaking at a cybersecurity conference in Beijing. His company has released a new bug-finding tool called Tulongfeng - which it claims is comparable to Mythos when it comes to finding bugs. 

Zhou Hongyi, chief executive of 360 Security Wu Hao/EPA/Shutterstock

So while the Trump administration restored some access to Mythos 5, IT departments across America are now at a disadvantage when it comes to using something this powerful to find and patch their own vulnerabilities. 

"Banning Fable while selling chips China needs to develop its own version is a gift to China," said Saif Khan - a distinguished technology fellow at the Institute for Progress think tank who focused on export restrictions under the Biden administration. Kahn says that the US needs to maximize the use of Mythos and similar models to harden cyber defenses while it can

Among the Mythos 5 and Fable 5 users that had lost access before Friday’s decision to restore Mythos 5 access for some trusted entities: the National Security Agency, which had been testing the tools and found them impressive in trials, according to people familiar with the matter.

Critics of the White House approach have said it has been lax in restricting use of Chinese open-weight models from companies such as DeepSeek and Zhipu, which are popular among U.S. businesses. -WSJ

Meanwhile - OpenAI on Friday said it will now limit access to its latest model - GPT 5.6, after Trump administration officials raised security concerns. The company warned that the government's current case-by-case evaluation process isn't a good long-term solution, but they're adhering to it following a recent executive order focused on security and model oversight. 

In short, the Trump administration is driving people to use open-weight Chinese models, while hobbling the US AI industry. 

Tyler Durden Sun, 06/28/2026 - 18:05
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The Path To A September Rate Cut (Despite AI Inflation)

By Peter Tchir of Academy Securities

The Path to a September Rate Cut (despite AI inflation)

A lot has changed in the past 24 hours. After Thursday’s CNBC interview, it seemed obvious (to me) that I needed to write about how there is a real path to a Fed Rate Cut in September. Not only has the market priced in a 75% chance of a hike in September, and 1.25 hikes by the December meeting, most have also taken any chance of a cut off the table. I think that is missing the path that I believe Warsh is trying to create. We argued last weekend, The Fed and Rates, that Warsh had curtailed the tail risk on the long end of the curve. We switched from bearish to neutral on the long end of the curve (10s went from 4.46% to 4.37% this week). The more we think about it, the more we believe that he has started us on a path, that despite his hawkish rhetoric, sets up for a cut in September to be followed by another cut in October, just ahead of the midterms.

Two things occurred, making me rethink today’s topic: Iran and doubts about the AI trade.

Those two topics are important enough that we need to at least address them, but in the end, we decided to focus on the path to rate cuts, as the other two stories will take time to play out.

Iran, Attacks Resume, But Ceasefire is Not Officially Broken

Iran and the U.S. exchanged fire on Friday and Saturday, and fighting continues to be a risk this weekend. Academy published a SITREP on The U.S. Strikes Iranian Targets over Ceasefire Violation.

For now, the working assumption is that this round of back-and-forth attacks will not derail the discussions. That both sides were “flexing” to remind the other side of why they are at the table. If the ceasefire breaks down, the hostilities escalate, and the oil trade is once again disrupted, then the odds of a September rate cut look bleak, but for now, that is not our base case on Iran.

There are two things that have not gotten the attention they deserve with respect to oil prices:

  • The U.S. drained the SPR (strategic petroleum reserve) rapidly and to its limit, which kept oil prices capped, but that ability is largely gone, so something needs to be done.
  • Providing sanction relief to Iranian oil may be as important as re-opening the Strait. Providing sanction relief not only brings more Iranian oil to the market than before, but it also lets them move the oil they were already sending (above sanctioned limits) with a higher degree of flexibility and transparency.
    • The fact that the concept of OPEC seems to be in tatters doesn’t hurt either.

Admirals Joyner and Whitworth, along with Bret Lowry, Maria Donnelly and I (Peter Tchir), touched on the f ragility of the peace between Iran and the U.S. in this month’s Around the World Podcast (iTunes and Spotify). The podcast also provides an update on our take on the Russia/Ukraine war, Cuba (which doesn’t get the attention it deserves), and of course, China and macro.

We need to keep a close eye on Iran, but for now, we see us limping along the path to discussing the details of the rather vague MOU that both sides seem to interpret very differently.

Questioning the AI Growth Story

We continue to see two economies. The AI and Data center economy and the rest of the economy. The former has been generating the jobs, the growth, and the earnings. The SOX Index (Philadelphia Semiconductor Index as if anyone, anywhere doesn’t know what the SOX is at this time) hit a high on Monday before dropping almost 10% from there.

Micron’s earnings call helped generate a rebound on Thursday, but that proved to be short-lived.

Questions are swirling around the spending. The cost of the buildout (more on that later). The utility of AI versus the cost of using AI. At some level, is the cost of using AI rising even faster than the benefits?

The growing angst about AI and Robotics (in our AI Revolution pieces) continues to grow and is something the AI companies need to aggressively address before it becomes a problem (via legislation or taxes, for example).

This isn’t a debate that will be answered today, but it does seem like the market is starting to rethink valuations. Stories were circulating that OpenAI may delay their highly anticipated IPO from this year to 2027. Since there is no official timetable, it is difficult to evaluate the veracity of such news, but it did little to help market sentiment.

It is always risky (and not wise) to publish a chart that one does not really understand. But rarely has the T-Report been accused of being risk averse and wise, so here it goes.

According to Bloomberg the Silicon Data LLM Token Expenditure Index (is a daily statistical benchmark to measure the effective expenditure level of the actively traded broad LLM Market, measuring price per million tokens). Say that ten times quickly!

I really don’t know how good this index is at measuring what it tries to measure (and it is in its infancy in any case), but it seems like something worth paying attention to as we all try to figure out where we are headed on AI spend (not just the spending to build out AI and data centers, but the actual spending on the compute they provide).

For what it’s worth, credit spreads in the sector started to widen recently. Not that problematic and certainly not enough to derail the borrowing to spend, but it is always worth paying attention to credit.

Expect more questions about valuations, even with good news, let alone with bad news.

The Path to a September Rate Cut

Let’s get to the “ fun ” part of today’s Report. We will lay out a case for September Rate Cuts that is entirely consistent with Warsh’s messaging.

We will do this, step by step. Some of the “steps” may seem to be disjointed, but I think they all tie well together.

Miran and The Neutral Rate

Let’s just go back in time, before the U.S. attacked Iran.

Miran was the administration’s inside person on the Fed. I didn’t like that he voted to cut every single time, but I think he did a lot of good work on the Neutral Rate.

The Neutral Rate, like R* and many other things in the field of economics, sounds precise, but is incredibly difficult to measure. There is a range of what the Neutral Rate is at any given time. That range moves along with the economy and technology.

  • I felt attacking the neutral rate, and arguing that it was lower than the previous Fed had thought, was a solid argument towards getting cuts. You could probably justify 50 to 100 bps of cuts, just based on arguing that the prior Fed had been wrong on where the neutral rate was.
    • It is not an accident that I try to frame this as the “new” Fed blaming the “old” Fed for mistakes. It is consistent with this admin (and every other administration), to blame prior administrations for mistakes. It is often reserved for Presidents, but the tactic can be applied more broadly.

While no one is talking about the neutral rate today, I think this work will become relevant again.

STOP WITH THE PCE CHATTER!

Surprisingly, few things make my head explode (though high on the list is The Big Short’s portrayal of just a few people seeing cracks in the housing market, when lots of people saw the issue, but got stopped out because they timed it wrong).

But on Thursday my head nearly exploded, as I heard over and over that “ PCE, The Fed’s preferred inflation gauge ” did whatever it did.

I don’t know what it did because the PCE is NOT this Fed’s preferred measure. I’m not even sure if it was Powell’s favorite measure. I’m pretty positive Bernanke said it was the best measure. Maybe Yellen did too? Maybe Powell, though that doesn’t stand out. But I can pretty much guarantee you that Warsh doesn’t stay awake at night looking at PCE data.

The Data Source Task Force

I keep raising my hand (though I’m not sure that is a thing), but I’d love to be on the data source task force. Garbage In, Garbage Out.

This is where we square the circle on Warsh’s tough stance on inflation, with achieving a September Rate Cut.

Which data set do you believe?

The blue line is Owners ’ Equivalent Rent of Residences. It feeds into CPI. You can read the BLS Description. I challenge anyone to read that and argue it reflects anything in the world of renting shelter today.

In our “beloved” CPI, OER didn’t peak until the middle of 2023. Even then it “peaked” at 8%. Zillow peaked at almost 16% back in early 2022! For anyone who remembers the rental market post-Covid, which metric seems right?

Remember Team Transitory, who was still going ahead with QE while “contemplating” a rate cut, basing their assessment on inflation in shelter on OER versus something actually seen in the real world?

What is the BLS & Cleveland Fed New Tenant Repeat Rent NTRR YoY index? If you guessed, worst name ever for an index, you are probably correct! It is an index that the Cleveland Fed introduced (with little fanfare) to try to track rents. Guess what? It tracks the Zillow index pretty darn well!

So, Warsh doesn’t even need to go to outside sources! The Task Force can ask the somewhat obvious question – Why don’t we use the index that the smart people in Cleveland created? They did this work for a reason! They know OER is flawed. Maybe OER needs to be in CPI because it takes an act of Congress to change the CPI calculation (because it is used for Social Security benefits). But maybe, just maybe, someone at the Fed can say we should base monetary policy on something that resembles the real world, instead of some archaic, obsolete metric?

Two things come out of this work:

  • The Team Transitory mistake was waiting too long to tighten monetary policy, because they were looking at the wrong data.
  • Affordability, not inflation, is the bigger problem people face, and the affordability problem was a 2021/2022 problem, that was NEVER picked up accurately by the inflation data.

Now let’s go back to PCE and bring back Truflation.

I put the “green” line for inflation target at 2.9% rather than 2%. Yes, we have been “conditioned” to treat 2% as the target, but Warsh did “hint” that the left side (i.e., “big figure”) is more important than the total or “rounded” number. Sure, 2.9% isn’t 2%, but expect to be “conditioned” over the coming months to see that 2 point something is close enough to 2.

Truflation core is currently at 1.45% and has been below 1.8% since February.

Truflation produces real-time, daily inflation indices and other economic data to provide a more transparent and current view of the market than traditional government-reported metrics. Unlike monthly, survey- based methods, Truflation’s indices are compiled using extensive datasets (you had me at real time. You also had me at datasets).

It is also quite obvious, that had Team Transitory even glanced at Truflation we might have moved to tighter monetary policy sooner?

The same two mistakes that show up in housing show up in this as well:

  • The Team Transitory mistake was waiting too long to tighten monetary policy, because they were looking at the wrong data.
  • Affordability, not inflation, is the bigger problem people face, and the affordability problem was a 2021/2022 problem, that was NEVER picked up accurately by the inflation data.

The Data Source Task Force will come back with data that provides cover to cut and that data is likely better for basing decisions on, than the data the Fed has been wedded to!

Affordability NOT Inflation

I’m not even sure how to “fix” this chart, but I will figure it out (maybe with the help of AI).

We don’t look at the CPI data series very often. We tend to focus on monthly or annual changes. But affordability is the cumulative effect and that is what is hitting people.

  • Given what we saw with Truflation and with rent, I suspect that CPI understates the real-world problem – by a LOT. And the problem is primarily a 2021 and 2022 problem!

I think there are cases to be made around past mistakes being made because the wrong data was used.

Avoiding future mistakes by looking at the correct data makes sense!

The Impact of the War Being “Over”

We can quibble about whether the war is over or not, but going back to Academy’s SITREP, we expect peace talks to continue, and the flow of oil to also continue.

Yes, there are problems in the energy ecosystem. We are “higher for longer” in prices, from oil out to January, to diesel, etc., but by all accounts the worst is behind us.

Why would we possibly be pricing in war impacts on inflation, when we seem to be in some new status quo? Maybe I spend too much time with geopolitical experts, but we don’t see a return to full hostilities, or significantly higher oil prices. Again, the removal of sanctions is a big deal.

The Administration’s Goals Have NOT Changed

The President didn’t wake up one day a few weeks ago, and tell Warsh, go ahead and hike. The President, as I believe he reiterated again this week, says he knows a lot about real estate and lower rates help real estate.

So, you can believe that Warsh is truly hawkish, that Bessent no longer cares about 3, 3, 3, and the President is oblivious to his hand-picked Fed Chair being hawkish (a chair who will likely spend Thanksgiving dinner at the home of his father-in-law, a large Trump donor), or you can think about what “master plan” is behind all of this.

Imagine (it is easy if you try) that Warsh convinced Trump that sounding dovish right now would be a disaster. Imagine (again, it is easy if you try) that he convinced the President to let me sound hawkish on inflation. That my hawkish message will control the long end of the yield curve (which it did). That we will convince every reporter and Wall Street analyst to believe we are going to hike and fight inflation. That we are retaining our independence (which they will to a degree).

And then Mr. President, this is the “good” part, data will start rolling our way. Inflation is already overpriced and with the war ending, it will come down more. Then, we will argue (persuasively, because it is true) that we should use other sources of data that show lower inflation.

Then, Mr. President, we will dazzle them with “neutral rate” mumbo jumbo. It has always been mumbo jumbo, but we will use it to our advantage.

Then, when the hawks and “dumocrats” (or is it spelled with a b?) say we are not protecting the people against inflation, we will point out it is all about affordability and the prior administration and “their” Fed (despite Powell being appointed by Trump) being “too late” resulting in “the mess” we are in.

You can agree or disagree with anything I just wrote on “political” grounds or otherwise, but can you really argue that it cannot play out that way?

AI and Data Center Inflation

Do you know what sort of spending is not affected by 50 bps of hikes?

  • Spending by companies trading at 100x some multiple! (Ok, probably some hyperbole here, again, but seriously, 50 bps of hikes is meaningless to the data center/AI build). Just look at the price of electricity. Hiking to slow down AI/Data center spending (which is inflationary for now), will be incredibly ineffective/useless. The people hurt by 50 bps of hikes aren’t the ones driving inflation, they are the ones trying to stay one step ahead of the Repo Man (still a bizarre movie).

AAPL dropped after announcing some price hikes. The price hikes on relatively expensive things to begin with (the upper part of the k rather than the lower part). But the market, I believe, perceived that those price hikes would not be absorbed easily. If one of the largest consumer product companies raises prices and the market questions their ability to pass on costs, what does that mean for the

average company selling to consumers? I don’t read that as inflationary.

Someone in my stream, who I cannot seem to find at the moment, pointed out that some of the survey data pointed to increases in prices paid, and declines in prices received. Bad for margins, but hardly inflationary.

Anecdotally, and this was somewhat confirmed by a chip company we met with recently. Remember when they were “giving away” memory? I looked at updating my 5-year-old desktop. I have 64 gig of RAM. I do remember paying “up” for the upgrade. While today’s RAM is better, faster, etc., I was shocked, that most desktops came with 32 gig as standard and 64 gig was a relatively costly upgrade.

This feeds back into the “ are AI/Data Centers getting too expensive” question? And yes, it is inflationary, but has nothing to do with the true affordability or the inflation problems many are dealing with.

Bottom Line

Look for the market to start pricing in rate cuts. If there is one “pound the table message” I’d give, it is lower yields at the front end of the curve. The “hike” community is applying the wrong data to this Fed.

I’m less clear on the long end, but I’m neutral, to even slightly bullish on 10s. Bessent wants a 3 handle. Warsh took out the tail risk. There are all sorts of headwinds facing the longer end of the yield curve, but I think with some “appropriate” timing, the admin can launch Operation Twist with some other tools and force the long end lower.

I’m far from certain on AI/Data Center valuations.

I think with recent weakness, go heavily overweight energy, especially nuclear across the globe. As the President focuses on domestic issues, energy and electricity production remains front and center. Even Europe is nearing that point.

Lean heavily on ProSec and overweight the biotech/pharma component, while underweight the chip component (still a critical part of ProSec but not where the best value is).

Look for credit spreads to come under some pressure, as the big tech/data center/AI/space issuers have more to do and are less price sensitive than we are used to, because their multiples allow them to be less price sensitive. Just like their potential to issue more equity (after years of buybacks) is weighing on their equity.

While Bitcoin and crypto in general aren’t moving markets like they once did (thanks to prediction markets and leveraged ETFs, etc.), the losses in crypto may slow down the “gambling” crowd, which won’t help equities in general, especially the high-flyer, momentum stocks that have benefited most from this crowd.

Good luck and get ready for another short week, that will probably feel much longer than 4 days!

Tyler Durden Sun, 06/28/2026 - 16:20
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