To The Moon

For the past three years, the AI boom has been measured by soaring tech valuations.

That framework is becoming outdated.

The next phase of the AI cycle is unfolding in a different market—the credit market.

The world's most profitable technology companies are no longer financing AI primarily through equity appreciation or free cash flow.

They're issuing debt.

Lots of it.

$Amazon.com(AMZN)$ $Alphabet(GOOGL)$ $NVIDIA(NVDA)$ $Meta Platforms, Inc.(META)$ $Oracle(ORCL)$ and $SpaceX(SPCX)$ have collectively sold $182 billion of investment-grade bonds so far in 2026.

That's more than 13x the less than $13 billion raised during the same period last year.

Six companies now account for:

• ~15% of total U.S. corporate bond issuance this year

• More than 50% of the growth in investment-grade issuance

• Six of the seven jumbo bond deals larger than $25 billion completed in 2026

Think about that for a moment.

The AI race has become large enough to reshape one of the world's biggest capital markets.

AI Has Entered Its Capital-Intensive Phase

Every major technology revolution follows a similar pattern.

First comes software.

Then infrastructure.

Finally comes financing.

AI has clearly entered the third stage.

Training frontier models, building hyperscale data centers, deploying Blackwell GPUs, expanding power capacity and constructing global AI infrastructure require capital on a scale that even trillion-dollar companies cannot fund indefinitely from operating cash flow alone.

Free cash flow is no longer enough.

Debt has become the preferred financing tool.

This is an important transition.

Investors are no longer evaluating AI companies solely by revenue growth or earnings potential.

They are increasingly asking another question:

How much leverage is being added to fund AI—and will future cash flows justify it?

The AI narrative is evolving from an equity story into a credit story.

The Biggest Companies Are Borrowing Like Never Before

Historically, jumbo bond offerings were associated with transformational acquisitions.

Today they're financing GPU clusters.

Data centers.

Power infrastructure.

Networking.

Cloud expansion.

The balance sheets of Big Tech are becoming financing vehicles for AI infrastructure.

Outstanding high-grade technology bonds have surged more than 2,000% since 2006—far outpacing the roughly 400% increase in the broader investment-grade bond market.

This isn't normal corporate borrowing.

It's the financial architecture of an entirely new industrial cycle.

The First Warning Signs Are Already Appearing

Capital is still available.

But it is no longer unlimited.

Amazon's recent $25 billion bond offering reportedly attracted demand of only about 1.6x the issue size.

Earlier this year, its $37 billion offering reportedly generated demand closer to 3.4x.

The average U.S. investment-grade corporate deal this year has been around 4x oversubscribed.

Demand remains healthy.

But investors are becoming more selective.

The market is beginning to distinguish between borrowing because you can and borrowing because you must.

That's an important shift.

This Changes Much More Than Tech Stocks

According to JPMorgan, global AI infrastructure investment could reach $5.5 trillion by 2030.

Around $2.1 trillion of that may ultimately be financed through investment-grade bonds.

That means AI is no longer influencing only semiconductor stocks.

It is beginning to reshape:

• Corporate bond supply

• Credit spreads

• Institutional capital allocation

• Interest-rate expectations

• Investment-grade portfolio construction

For decades, equity investors drove the AI narrative.

Increasingly, bond investors will help determine how fast that narrative can continue.

Five Structural Changes Investors Should Watch

1. Credit markets will become increasingly polarized.

Capital will continue flowing toward the largest AI leaders with fortress balance sheets, while financing costs rise for smaller technology companies that lack scale and credit quality.

2. Long-duration bond issuance sends a macro signal.

When the biggest technology companies aggressively lock in long-term funding, they are effectively betting today's borrowing costs are attractive.

That naturally reduces expectations for dramatic Fed rate cuts.

3. The AI capex cycle is becoming self-reinforcing.

Every dollar raised through debt is likely to flow into data centers, networking, power systems and semiconductor demand.

That extends—not shortens—the AI infrastructure investment cycle.

4. Concentration risk is quietly building.

Everything works if AI monetization matches today's expectations.

If it doesn't, debt accumulated by a handful of industry leaders could become a broader investment-grade credit issue, widening spreads well beyond the technology sector.

5. The center of gravity has shifted.

The first phase of AI was driven by valuation expansion.

The next phase will be constrained—or accelerated—by financing capacity.

The primary battleground is moving from the stock market to the credit market.

The Bigger Picture

This may be the most capital-intensive technology race in modern history.

The most profitable companies on Earth are exhausting free cash flow...

...and then borrowing hundreds of billions more.

That's extraordinary.

The real question is no longer whether AI will transform technology.

The question is whether the future cash flows generated by AI will be large enough to justify one of the biggest debt-financed investment cycles corporate America has ever undertaken.

Because the next chapter of AI won't be written only by stock prices.

It will be written in the bond market.