Why your gold bar may be the old way to own it

Physical gold still has its place. Larry Fink's rails argument is about what happens when the metal stops sitting still — the note below lays out the tokenized angle.

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Dear Reader,

Physical gold made sense in the last financial system.

The next one may reward something very different.

BlackRock CEO Larry Fink believes $110 trillion worth of assets will eventually move onto new digital financial rails.

Gold is already making the transition.

More than $1.6 billion has already moved.

Physical gold, meanwhile, just sits there.

It does not generate income. It does not compound.

Now imagine owning real, vaulted gold that can actually work for you.

Real gold bars. Stored in institutional vaults.

The opportunity to earn up to 8–15% annual yield through lending programs.

All while maintaining ownership of your gold.

BlackRock calls tokenization “the next generation for securities.”

The only question is whether you’ll be positioned before trillions of dollars make the same move.

Watch how this new way to own gold could generate weekly income while you maintain ownership.

To your wealth,

Alex Grandwileski
Decentralized Masters

P.S. More than $1.6 billion has already moved into tokenized gold. Watch the free presentation here.

DISCLAIMER:

This content is for educational purposes only. The opinions expressed are from DM Intelligence LLC, doing business as Decentralized Masters, who are not licensed financial advisors or registered investment advisors. The reader acknowledges that DM Intelligence LLC is not responsible for any losses, direct or indirect, resulting from the use of this information, including errors, omissions, or inaccuracies.

Results are not typical and will vary. Success with digital currencies requires time, effort, and involves substantial risk including total loss of investment. Past performance does not indicate future results. All investments are at your own risk.

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Ray Dalio Says the AI Boom Is a Classic Bubble, but It Hasn't Popped Yet

Super Investors Newsletter

Markets • Stocks • Investing

A Message from VantagePoint AI

The Paralysis by Analysis Fix: Finding Trades Without the Guesswork

Ten indicators open across three screens. The oscillator says one thing. The moving averages say another. Volume tells a third story. And while you weigh all of it, the setup you were watching an hour ago is already gone.

That is not a discipline problem, and it is not a knowledge problem. You are not short on information. You are buried in it, and one more indicator was never going to break the tie for you.

The problem is the method.

What a clear read looks like in a recent forecast for Roblox ($RBLX):

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Lane Mendelsohn, President
Vantagepoint AI, LLC
1-800-732-5407 U.S. & Canada

Please note examples are from past data, success stories, and atypical. Trading involves financial risk and is not suitable for all investors. Past results do not guarantee future performance. Trading involves substantial risk of loss and is not suitable for every investor.

Ray Dalio Says the AI Boom Is a Classic Bubble, but It Hasn't Popped Yet

Ray Dalio thinks the AI boom looks like a bubble. He also thinks it hasn't popped yet.

The Bridgewater founder made his case earlier this month at a Forbes Global CEO Conference panel in Singapore. He shared the stage with the heads of Franklin Templeton, Temasek and Bangkok Bank.

His read is that the AI boom behaves like a classic bubble. Spending is concentrated in a small group of companies, and more of it is being paid for with borrowed money.

Then he got to the part that matters most. Dalio said a bubble starts to burst when a flood of debt meets rising interest rates.

So where are we? Dalio put the market just short of that point. He said, “I think we're close to that.”

His second trigger is a clever one. Bubbles usually get pricked, he said, when holders want to sell large amounts of wealth to raise money they can spend.

That leans on a distinction he keeps returning to. Money is a claim on goods and services. Wealth is the capacity to produce them.

In plain English, a portfolio can look like wealth, but only cash pays the bills. When lots of people try to swap one for the other at the same time, prices can crack.

He also drew a line between how great a technology is and how great an investment is. Those aren't the same thing.

Dalio described all of this as happening in a period of great disorder. He pointed to high global debt, growing political and social conflict, geopolitical tension, climate change and new technologies.

Others on the panel added color. Franklin Templeton CEO Jenny Johnson said private credit is making it harder to see how much money the AI buildout really needs.

She added that hyperscalers running lots of debt can deliver short-term returns, but investors should keep the longer-term risks in view.

He also pointed to places he sees opportunity. Those included Asean countries, companies that benefited from AI but aren't labeled that way, and commodities.

Dalio's own habits point toward balance. As a global macro investor, he said, it helps to hold 10 to 15 return streams that don't move together.

What it means for you

Nobody can time a bubble, and Dalio didn't claim to. His point is about the mechanics: what tends to pop one, not exactly when.

Two things are worth watching if you follow this theme. One is whether borrowing costs keep climbing. The other is how much of the AI spending is funded with debt instead of cash.

Keep the technology-versus-investment line handy too. A company can change the world and still disappoint someone who paid too much. This is one investor's view, not a forecast.

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I'm Betting My Retirement on This

October 22, 2026

Teeka Tiwari

If I could make only one investment…

This would be it.

In fact, I’m so confident that I’ve put over $5 million of my own money into this strategy.

I already shared this with some of my readers…

And they’ve reported some incredible success.

One guy made $67,000 in a year.

Another made $200,000 in a year…

And another one said he made “about half a million this year.”

What exactly are these people doing?

Let me show you…

Big T

In case you missed it, here’s Big T’s Digital Asset Daily

The Number That Actually Moved The Stock

Alphabet recently reported one of the best quarters in its history.

Revenue jumped 24% to $119.8 billion. Cloud revenue soared 82%. The company beat almost every number Wall Street was watching.

And the stock still fell 8%, wiping out $330 billion in valuation in a single day.

That disconnect – great earnings yet falling share price – tells you everything about where we are in this AI cycle.

So let’s walk through exactly what happened, because the answer changes how you should think about every hyperscaler stock you own.

Buried inside that great quarter was the number that explains why the stock fell anyway.

Free cash flow (FCF) is the money a company has left over after it pays its bills and funds whatever it needs to keep growing. For 22 years, Alphabet threw off mountains of it. Every single quarter since its 2004 IPO, free cash flow stayed positive.

Last quarter, that streak ended.

Alphabet spent $44.9 billion on capital expenditures, mostly data centers and AI infrastructure. Operating cash flow came in at $39.1 billion. Subtract one from the other and you get negative $5.8 billion in FCF.

That means Alphabet spent more building AI infrastructure than its entire operating business brought in. For the first time – ever.

Magnificent Seven counterpart Tesla posted its own negative FCF that same week, and its stock dropped even harder, by about 14.5%.

Here’s what’s really going on underneath those numbers.

For two decades, companies like Alphabet, Microsoft, and Meta were what I’d call asset light. They sold code, ads, and cloud subscriptions out of an office building.

They kept almost all of their revenue as profit because there wasn’t much physical stuff weighing them down. No factories to run or power plants to maintain. Just software margins, the kind of profit you get when a product costs you almost nothing to reproduce once you’ve already built it.

That’s exactly why Wall Street paid growth-stock prices for them. But AI changes the setup.

Think of the AI market in three layers.

At the top, you have the labs — the OpenAIs and Anthropics of the world — selling access to the models.

In the middle, you have hyperscalers like Alphabet, Microsoft, and Meta. They provide the cloud platforms and data centers those models run on.

And underneath both of them, you have the chipmakers, power producers, cooling companies, and equipment suppliers.

The problem for the hyperscalers is they’re the ones spending hundreds of billions of dollars to build the physical infrastructure this whole stack depends on.

And that’s changing the economics of their respective businesses.

To compete in the AI race, they now have to build and own massive physical infrastructure. I’m talking about data centers, power plants, and cooling systems. Even the chips they use wear out and need replacing every few years.

That’s not a pure software business anymore. That’s an infrastructure business. In other words, they’re creeping ever closer to a utility than to the cash machines investors bid up for 20 years.

Look at the balance sheets. Alphabet spent nearly $45 billion on capex against $119.8 billion in revenue. That means capital spending swallowed about 37.5 cents of every revenue dollar last quarter.

This is what I mean when I talk about multiple compression. It’s not some abstract Wall Street term. It’s what happens when a company’s cash flow profile changes and the market stops paying growth-stock prices for it.

And this matters to your money whether you own Alphabet directly or not.

The Magnificent Seven – which includes Alphabet, Meta, Microsoft, and Tesla – together make up more than 30% of the entire S&P 500’s value.

Most Americans have retirement money sitting in an S&P 500 index fund without ever picking a single stock. And that fund carries this exact same exposure, whether you’ve heard of the Magnificent Seven or not.

If the market decides these companies deserve infrastructure multiples instead of software multiples, that’s a haircut sitting inside a large chunk of everyone’s 401(k).

What I Told You vs. What Wall Street Told You

If the hyperscalers are the ones writing the checks, I want to own the companies cashing them.

That’s been our approach for months, and it’s exactly why I’m so bullish on the power producer my team recommended in this month’s issue of my flagship newsletter, Asymmetric Edge.

This company controls tens of gigawatts of generation capacity in two of the fastest-growing power markets in America. It’s already locked in long term contracts tied directly to hyperscaler demand, the same hyperscalers now scrambling to justify their AI spending to Wall Street.

And it trades at a fraction of the valuation the market is paying for the popular AI names, with as much as 261% upside as the market awakens to the story.

If you’re already an Asymmetric Edge subscriber, you can access it right here – including the name, the ticker, the contracts, and exactly why we think it’s one of the best-positioned ways to own this trend.

If you’re not an Asymmetric Edge member yet, I encourage you to watch this briefing I recently recorded about the top players in the third layer of the AI stack.

Friends, the AI buildout is real. I’ve never doubted that for a second. But being right about the trend and picking the right stock inside that trend are two very different things.

Alphabet just showed you what happens when a great business takes on a completely different cost structure almost overnight. The companies getting paid by everyone spending on AI don’t have that problem.

Let the Game Come to You!

Big T