AI is not just a software story anymore.
It’s a construction story. A power grid story. A data center story.And that means it’s also a financing story — because the infrastructure that powers AI doesn’t get built with tweets and enthusiasm. It gets built with capital, and increasingly with debt.Over the past year, we’ve watched a surge in corporate borrowing tied to AI infrastructure: hyperscalers expanding capacity, software firms investing heavily to stay competitive, and private lenders stepping in where traditional financing gets tight.That combination is creating what many market observers are calling an AI debt wave — and it matters for investors because big debt cycles tend to create both:
- Opportunity (the infrastructure gets built), and
- Risk (some projects don’t monetize as quickly as the spreadsheets promised).
Let’s unpack the investor implications — and a smarter way to participate in the AI buildout without having to guess which AI stock wins
AI is physical (and that’s the point)
When people say “AI,” they often picture code.But AI is mostly compute, and compute lives somewhere. That “somewhere” is typically a data center — filled with servers, cooling systems, redundant power, network connectivity, and expensive real estate designed for uptime.In other words: AI is one of the most capital-intensive trends we’ve seen in decades.And when you have a capital-intensive trend, you get two things:
- Large-scale investment, and
- Large-scale financing.
The AI debt wave: why it’s not automatically “bad,” but it’s not automatically “safe”
Debt isn’t evil. Plenty of great businesses use debt intelligently.But today’s environment has a few features investors should pay attention to:
1) Credit markets can look calm while leverage quietly rises:When investor demand is strong, spreads can stay tight even as companies take on more debt to fund growth.
2) The revenue timing is the real question:A lot of AI spend is happening now. Monetization often arrives later. If that gap stays wide longer than expected, it can pressure margins, coverage ratios, and ultimately balance sheets.
3) More financing is happening “off to the side”:Structured financing, special-purpose vehicles, and private credit arrangements can reduce transparency. When you can’t easily see the full picture, you can misprice risk — even with good intentions.
Bottom line: the AI debt wave is a signal — not a guarantee. It tells us the buildout is intense. It also tells us underwriting discipline matters.
My favorite framing: don’t bet on the app… own the “toll roads”
If you’ve been around markets long enough, you’ve seen this movie:A transformational trend shows up → capital pours in → winners emerge → hype fades → infrastructure remains.That’s why I keep coming back to the “picks & shovels” approach.Instead of trying to pick the single AI platform that dominates, consider the infrastructure that every platform needs:
- Data centers
- Power and cooling
- Land and entitlement
- Network connectivity
- Long-term leasing and operating expertise
That doesn’t make it risk-free. But it can shift your exposure from “who wins the AI popularity contest” to “who owns the assets that AI relies on.”
Why private markets show up in this conversation (and why the ultra-wealthy use them)
A clear framework for integrating private markets into a disciplined, long-term portfolio.? View my Private Market Alpha GuideView my Private Market Alpha Guide
Here’s a plain truth:
Many wealthy families don’t build their portfolios using only what’s available on a brokerage screen.They often allocate a meaningful slice to private investments — not because they’re trendy, but because they can offer:
- Access to institutional-quality opportunities,
- Different sources of return than public markets,
- Cash-flowing strategies that may complement traditional stock/bond portfolios,
- And in some cases, tax-aware structuring that can improve after-tax outcomes.
Common “institutional private” building blocks include:
- Private real estate (income + long-term demand themes like housing, logistics, and data centers),
- Private credit (lending where banks have pulled back, often with floating-rate exposure),
- Private equity (longer horizon ownership, operational value creation).
Important: none of these are guaranteed to outperform. And they are not for everyone. But they’re worth understanding — especially if you’re trying to build a plan that isn’t 100% dependent on whatever the public market decides to do next quarter.
The income piece: dividends/distributions that may be more tax-aware than people expect
One reason investors look at certain institutional private real estate income strategies is cash flow.Depending on structure, the distributions may include a mix of:
- Ordinary income,
- Capital gain components,
- And sometimes return of capital and depreciation-related sheltering (which can delay taxes in some cases).
Two key caveats (because real life always brings fine print):
- “Tax-efficient” does not mean “tax-free.”
Return of capital can reduce your cost basis and potentially increase taxes later. It’s about timing and structure, not magic. - Tax outcomes are investor-specific.
Your account type, state, income, carryforwards, and planning goals matter. Always coordinate with your tax professional.
Still, for the right investor, the goal is straightforward: seek attractive after-tax cash flow, not just headline yield.
The inflation angle: real assets can help, but it’s not a force field
When inflation is sticky (or just unpredictable), investors tend to ask: “What holds up?”Real estate has historically had mechanisms that can respond over time:
- Rents can reset,
- Replacement costs can rise,
- New supply can slow when financing gets tougher.
But real estate is cyclical. Rates matter. Tenant demand matters. Management matters. And liquidity terms matter.So I treat the “inflation hedge” conversation as: potential resilience, not a promise.
The part you don’t see on the brochure: access + due diligence matters
Here’s the “recipe” most people miss:With private investments, what matters isn’t just the asset class — it’s the vehicle, the manager, the portfolio construction, and the terms. Some strategies that look similar on the surface can differ massively in:
- Liquidity provisions (repurchase limits, gates, suspensions),
- Valuation methodology (appraisals and NAV processes),
- Leverage usage,
- Fees and share class structure,
- Concentration risk,
- And how distributions are sourced.
That’s why most families who use private investments don’t do it as a random one-off purchase.They do it as part of a plan:
- How much illiquidity can we actually tolerate?
- What’s the role in the portfolio: income, diversification, long-term growth?
- What are the tax implications?
- What’s our plan if repurchases are limited?
- What are we giving up (simplicity, daily liquidity) to get potential benefits?
This is where a real advisory relationship earns its keep.
So what should investors do with this AI moment?
My view is simple:
If you want to participate in AI, you don’t have to do it by chasing the most expensive ticker symbol.You can consider infrastructure exposure — including institutional private real estate strategies with meaningful positioning in AI-adjacent areas like data centers — alongside a disciplined approach to income and tax planning. If that sounds interesting, the next step is not “go buy something.”The next step is: get educated, then map it into your plan.
Want the guide the ultra-wealthy actually use as a starting point?
Curious how the ultra-wealthy use private investments for potentially better portfolio outcomes and more tax-aware planning?If you’d like to explore whether you’re eligible — and whether these types of strategies fit your goals, timeline, and liquidity needs — book a call and we’ll walk through it together.
Let’s build a stronger, smarter plan together.
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This commentary is for informational and educational purposes only and is not investment, tax, legal, or accounting advice. Any investment involves risk, including the possible loss of principal. Private and alternative investments may be illiquid, may involve higher fees, may use leverage, may have limited transparency, and may not be suitable for all investors. Liquidity features (including redemption/repurchase programs) are not guaranteed and may be limited, suspended, or modified. Distributions are not guaranteed and may be sourced from factors other than operating cash flow. Tax treatment is complex and investor-specific; consult your tax advisor. Any offering is made only through applicable offering documents and only to eligible investors where lawful.
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Tony Gomes, Author, MBA
CEO and Founder
Advanced Wealth Management