World’s 10 Best Investors Just Shared Their Favorite Stocks

We analyzed 10-year returns and portfolio concentration across some of the most respected investors in the world.

Here’s what stands out.

On average, these investors hold 43.1% of their entire portfolio in just their top three positions.

Here are the top 3 portfolio position sums ranked from highest to worst:

Even the least concentrated names still allocate roughly a quarter of their capital to just three ideas.

Over the last 10 years, the highest performance didn’t belong to Warren Buffett.

It belonged to Stanley Druckenmiller.

Here are the 10-year CAGRs ranked from best to worst:

The S&P500’s average return in the last decade is 13.8%.

Druckenmiller is best known for running money at George Soros’ Quantum Fund and famously shorting the British pound in 1992.

Across the top-three holdings of all 10 investors:

Only Brookfield appears twice.

No other company overlaps.

It means they all think independently.

Even when investing in similar industries, their expressions differ.

That’s the common thread.

The World Uncertainty Index just hit an all-time high (FRED).

Higher than the Iraq War, 2008 financial crisis, 2020 COVID collapse…

And yet…

The S&P 500 is near all-time highs.

How can markets rally while uncertainty explodes?

Let’s unpack this.

The WUI tracks how often the word “uncertainty” appears in Economist Intelligence Unit country reports.

More mentions = higher index.

And right now, the index has broken above crisis-era levels.

This is the result of several forces converging:

So, why are stocks rallying then?

Because liquidity still dominates.

Markets are forward-looking.

And when uncertainty rises, central banks often lean dovish.

Lower rates.
Weaker dollar.
Higher asset prices.

But here’s the pattern worth noticing:

Uncertainty spikes tend to precede volatility spikes.

In 2000. In 2008. In 2020. Stay safe.

Netflix is down 25% since the Warner Bros. deal news.

Meanwhile, WBD has jumped more than 100% as competing offers push the price higher.

That’s how M&A works: targets win early.

More bidders = more leverage, better terms, and rising valuations.

Netflix’s drop comes from one thing investors hate: uncertainty.

And a potential $80B+ acquisition brings plenty.

Regulatory hurdles, integration headaches, higher debt, and a distraction from its core business.

Paramount Global sits in the middle, sliding lower as it tries to outbid Netflix without stretching its balance sheet too far.

The market’s message couldn’t be clearer:

WBD gets options.

Netflix gets risk.

And until someone actually wins this deal, that dynamic isn’t changing.

Markets move in cycles.

And you only have two options.

Option 1: You can ignore cycles.

Option 2: You can use them.

There’s no third option.

Some companies don’t care if GDP is +4% or -2%.

They sell essentials. They generate recurring revenue. They have pricing power.

Examples: Consumer staples, utilities, mission-critical software, healthcare essentials, etc.

These companies may not always be the fastest growers.

But they compound steadily.

If you don’t want to time cycles, own businesses that survive all of them.

If you want higher upside, you need to understand economic phases.

Historically:

Expansion: Industrials, financials, materials, technology

Slowing Growth: Financials, healthcare, consumer staples

Contraction: Consumer staples, utilities

Recovery: Technology, industrials, consumer discretionary

When earnings accelerate, cyclicals shine.

When profits compress, defensives protect.

Do you want simplicity?

Or do you want optimization?

Option 1: Own resilient compounders and sleep well.

Option 2: Study macro, rotate intelligently, and accept volatility.

Shockingly, Apple’s CapEx actually fell 19% last quarter.

While Amazon, Google, Meta, and Microsoft are pouring hundreds of billions into AI infrastructure…

Apple is doing the opposite.

Apple is embracing AI.

But it’s not trying to win the data center arms race.

Instead of building massive GPU farms, Apple is:

• Using third-party infrastructure
• Leveraging external models
• Keeping heavy AI capex off its balance sheet

For example, Apple reportedly paying ~$1 billion per year to use Google’s Gemini model to power Siri and Apple Intelligence.

$1B per year sounds large.

Until you compare it to $200B.

Right now, hyperscalers are racing to build capacity.

But history tells us something:

When everyone builds at once, supply eventually overshoots demand.

If AI adoption slows…
If margins compress…
If ROI disappoints…

Apple won’t be the one holding depreciating GPU warehouses.

The downside is that Apple doesn’t fully own the AI stack.

If AI truly becomes the next industrial revolution,
Apple may have less structural leverage than Microsoft or Amazon.

But Apple is betting on something different:

AI as a feature.
Not AI as the business.

🟥 Stocks Slide – Markets dip as U.S. trade uncertainty collides with fresh AI-sector worries.

🎬 Paramount Global – New Warner Bros. bid expected today, potentially reshaping Hollywood power dynamics.

🏠 U.S. Mortgages – Rates fall to their lowest level since 2022, giving homebuyers rare relief.

💸 PayPal Stock – Jumps sharply after reports of renewed takeover interest.

🚀 Michael Saylor – Hints the strategy is approaching its 100th major Bitcoin buy.

💻 IBM Stock – Drops as Anthropic unveils another disruptive AI tool threatening legacy cloud players.