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YOUR FINANCIAL ADVISOR’S SUMMER

Over the past week, the average financial advisor and fund manager sold down exposure in the S&P 500.

By over 9%, and that’s on top of 12% from the previous week.

The decision comes as volatility at the single stock level began to spike up, with earnings volatility coming from names like Broadcom and now Oracle (both down over 10% since earnings).

And that’s the poker table moment when you find out who has the cards.

It’s not them…

If anything, this behavior tells me that the average advisor and fund manager is tied up with too much AI and tech exposure, considering that the rest of the market (probably 480 stocks) are trading at low volatility and attractive valuations.

So in a sense, you’re paying fees to a manager, or another “furu” to merely match what the market has done and take tons of unnecessary risks.

The question is, are they (and are you) aware of what’s happening underneath?

Do you even know there are “boring” businesses loaded with double-digit upside potential just waiting to be discovered?

We broke down the Domino’s Deep Dive for you already, and it’s been crushing the market by 5%.

Will you be part of what’s next? Become an Offside Premium member now.

CHART OF THE DAY

Michael Burry tends to be early to his bearish market calls, but who has ever made a call and not been early?

When the guy starts posting a boatload of evidence on why the AI trade isn’t as healthy as markets think.

I listen.

What we found so far proves the madman isn’t so crazy after all.

ARE YOU COVERED? —>

Broadcom’s Inventories Piling Up

You can see it everywhere, Broadcom down, Oracle down, NVIDIA entering correction.

Inventories are piling, and demand is softening, so what’s really pushing the AI narrative now?

A WEEK IN NUMBERS

CPI Annual Rate

63 consecutive months.

That’s how long the Consumer Price Index (CPI) has been above the Fed’s target of 2%.
In other words, inflation has gotten out of control.

Most economists and media talking heads will blame this trend on the Iran war, but last I checked it’s only been four months since the Hormuz disruption, not 63.

In fact, I ran through the latest Price Producer Index (PPI) numbers this Thursday and found something very interesting.

First off, the index is now at over 13%, the hottest inflation reading since 2023.

Then, breaking out the commodity type, you quickly find out two very obvious trends:

  1. Most of the inflation did effectively come from energy bottlenecks as a result of the Iran war.

  2. Outside of that, materials in the AI supply chain are responsible for the rest.

The index for final demand less food and energy (no Iran effect) is up 0.8%.

Now here are the industries that drove inflation the most inside that segment:

  • Industrial Chemicals

  • Plastic Materials

  • Metals and Minerals

Most of these are necessary inputs in semiconductor fabs and data centers.

So there you have the input side of the equation, confirming AI is in fact inflationary for the economy.

Now for the output.

Citadel Securities, Tokenomics

Citadel posted a very interesting research report on the economics of AI.

As you can see, the whole narrative behind the technology is beginning to fail in real time.

The most disrupted jobs from software engineering to customer service have proven not so disrupted in recent months.

In fact,

Employers who let go of hundreds of people after drinking the AI replacement Kool-Aid are now actively hiring those people back and then some.

Microsoft and Uber have been the most public case studies in this whole mess…

Both companies explicitly reported that AI is far more expensive, and less productive, than human labor is.

Which raises the question of whether AI is truly as beneficial to the global economy as they say.

From the input side, inflationary.
Output and end user side, inflationary.

10yr Treasury vs S&P Earnings Yield Spread, Bloomberg

Since inflation matters again, we should do an exercise around it, and really figure out what type of returns we can expect from the stock market.

The concept of the earnings yield is the foundation for comparing investments against the risk-free nature of treasury bonds.

At a 31x P/E, the S&P 500’s earnings yield is:

  • 1 / 31 = 3.2%

With the 10yr treasury bond yield at 4.5% or so, that’s a spread of 1.3%.

Using very rough math, this means that the S&P needs to grow its earnings by 20% uninterrupted every year for the next decade in order to match the risk-free rate.

How likely is that?

Not that much.

Here are the biggest holdings in the S&P, making up over 40% of the index:

  • NVIDIA

  • Apple

  • Microsoft

  • Amazon

  • Alphabet

  • Meta

In next week’s Offside Premium post, we will continue digging into the slowing AI earnings situation, and why most of these companies are involved in a sickening accounting loophole.

A loophole designed to inflate their earnings.

Here’s a brief recap of NVIDIA’s books:

  • 50% of the balance sheet is made up of private and public equity stakes

  • 60% of earnings are made up of these stakes going up in value (no cash coming in)

  • Inventories and accounts receivable are piling up, and they are taking longer to pay off their accounts

All combined, NVIDIA’s earnings should be HALF of what they reported.

Meaning,

Their current 31x P/E should be more like 62x since no actual earnings came into the business.

Surprisingly,

Amazon and Google are misleading investors in just the same way.

So I ask,

How will the S&P grow earnings by 20% for the next decade when its biggest companies are artificially inflating their earnings, a practice that eventually adjusts to real cash earnings?

Whatever your opinion on this AI race is, keep in mind bonds now offer a better yield than stocks, and there’s a pretty high bar set for the market to beat if they want to outperform the bond market.

Far from being an overly bearish post, this should serve as a compass for you to think through the current market.

I’m not a bear, I’ve actually been buying heavy into select equities.

Domino’s Pizza is one of them.
Nintendo might be next.

Would you like to benefit from the next batch of winners?

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That’s a tiny fraction of what you can make on one 5-bagger, and as a member, you’ll get one of these every month pitched to you.

WHAT’S THE TRADE?

You probably thought about it reading the section on bonds vs stocks.

But one of the most attractive setups here is the TLT bond ETF, especially if we think that AI is inflationary (hard to say no with all the evidence).

Think about the outcomes:

  1. AI is too expensive vs productivity gains, and the Capex intensity slows (drawing down the supply chain pressure and PPI prices).

  2. AI isn’t expensive and it gets past the Capex wave to actually benefit the economy productivity-wise, then inflation comes off and so do rates.

  3. Warsh is set to hike rates potentially, and bond markets have priced this in already, so it’s almost all upside from there.

  4. If we do get a crash from all these IPOs, then a flight to safety in bonds will likely take place.

Whichever way you look at it, bonds are attractive.

But there’s something else that looks just as good:

  • Software stocks

I’ve been trying to get into the AI trade besides Intel at $19 a share and Micron at $400, and I just can’t find any logical way to do it.

So I thought,

What works no matter if AI is successful or not?

It’s clearly software, though specific SaaS I’ll say.

When you ask Claude or ChatGPT to output a spreadsheet, report, image, video, what have you…

It is all edited and manipulated or delivered through software in one way or another.

Which is where:

  • Excel

  • PowerPoint

  • Word

  • Photoshop

  • Premiere

  • Acrobat

All come into play as the bridge between an AI output and a user-enabled way to benefit from the output.

Adobe just beat earnings for 14-consecutive quarters, and its AI revenue tripled to prove my point.

I’ll be diving into that deal and several others in software this month.

A Final Note

COMING UP NEXT

  • The SpaceX IPO is here, and I feel like I owe you a proper analysis of what to expect from the stock and its valuation, so we’ll touch on that.

  • We’ll go over what happened to Oracle stock after earnings, and how that affects everyone else in the AI ecosystem.

  • Why the best Iran trade may not be oil.

Here are some thoughts to take home on the SpaceX IPO as Ben Felix attempts to answer the question about the largest IPO in history:

Until next time,

OFFSIDE RESEARCH

Against the Tape, Ahead of the Curve.