AI Gold Rush 2026: When $5-8 Trillion in Investment Breaks the Norms of 'Leveraging Up' and Diversification

In 2025, AI shifted from a 'buzzword discussed in boardrooms' to 'real investment projects that move profit and loss statements and balance sheets.' The BlackRock Investment Institute (BII) 2026 Outlook views this AI boom not merely as a stock market theme, but as 'one of the fastest capital expenditure (capex) cycles in history,' mapping out its ripple effects on macroeconomics, financial markets, and investment strategies.
In this article, we break down and organize the professional content centered on the three core themes put forward by BII: 'Micro is Macro,' 'Leveraging Up,' and 'Diversification Mirage.'

1. Micro is Macro — AI Investment Drives the Macroeconomy

The first point BII emphasizes is the structure where 'micro (corporate-level investment decisions) becomes macro.'

The range for capex into AI infrastructure is projected to be $5-8 trillion by 2030. Guest Jean emphasizes that 'if this level is reached, it will be the fastest capital stock build-out in history, faster than any investment cycle in memory.' In fact, in the U.S. in 2025, the growth contribution of non-residential investment swelled to 'three times the normal level,' with much of it seen as AI-related investment.

Naturally, the question arises, 'Isn't this a bubble?' Jean counters this question by saying,
'The framework of whether or not it is a bubble is not very useful for investors.'
What is important is that while the 'unprecedented investment amount' is significant, the potential for revenue and productivity that AI can generate is also unprecedented.

The key is the perspective of whether it can 'for the first time' break above the long-term U.S. GDP trend of 2%. Over the past 150 years, from the Industrial Revolution to electrification and the internet, the trend growth rate has remained stable at nearly 2% despite all technological innovations.
BII views AI as a 'special technology that can accelerate the speed of innovation itself,' and by hastening breakthroughs in science, medicine, and industry, it has the potential to break this 2% barrier for the first time. However, they remain cautious, noting that whether this truly happens is a 'theme to be verified over several years.'

2. Leveraging Up — The AI Boom Brings an 'Era of Debt'

The second theme is 'Leveraging Up.'
The characteristic of AI infrastructure investment lies in the timing gap of 'huge capital investment first, returns later.' Jean compares this to a 'mortgage when buying a house.' You have to make a large expenditure first before you can earn income over the decades you live in it.

The same thing is happening now on the balance sheets of Big Tech companies. While they have abundant cash, they are actively using 'debt,' such as issuing corporate bonds, to advance AI investments. As a result,

• Government debt is already at a high level (a legacy of post-COVID fiscal expansion)

• This is compounded by the expansion of leverage in the private sector

• Sudden fluctuations in long-term interest rates and government bond yields will shake the corporate sector more than ever before

A new market environment is being created.

While BII notes that corporate credit indicators (the health of corporate debt) are currently very good, they point out that in the future, 'the market's sensitivity to interest rate shocks will increase.' As an investment strategy,

• Private credit (the non-listed lending market) will become a structurally growing sector

• On the other hand, long-term U.S. Treasuries are underweight (because AI investment will be an inflationary pressure in the medium term, posing a risk of rising yields)

They have adopted this stance.

3. Diversification Mirage — 'Thinking You Are Diversified' Is Actually a Bet Against AI

The third theme is 'Diversification Mirage.'
The current market is strongly dominated by a small number of mega-forces (structural trends), including AI. Therefore,

This is the current state of affairs.

The problem here is the case where 'what you think is diversification is actually an active contrarian position against AI.' For example,

• 'I'm worried about U.S. policy uncertainty, so I'll diversify into European stocks'

This decision may look like risk diversification at first glance, but in reality,

• 'an active bet on relative returns between the U.S. and Europe'

and BII warns that this is no longer pure diversification.

So, what kind of diversification is effective? Jean suggests:

• Market-neutral strategies
  : A method that decouples from the rise and fall of the overall market and aims for alpha by focusing on the 'winners and losers' between individual stocks and sectors.

• Thematic investing that functions across multiple mega-forces such as infrastructure
  : Areas where 'a certain level of need will continue regardless of the scenario,' such as energy transition, digital infrastructure, and defense.

• And above all, 'preparing a Plan B and being ready to quickly switch positions if the AI story collapses'

BII's message is that because we are in an environment that can no longer be protected by 'passive diversification' alone, we have entered an era where diversification itself must be actively designed.

4. The Future of Finance — The Rise of Private Credit and Stablecoins

As a mega-force other than AI, BlackRock also positions the 'Future of Finance.' Here,

• the expansion of private credit

• the spread of tokenization and stablecoins

are discussed as a set.

In 2025, the adoption of stablecoins backed by U.S. dollar-denominated assets progressed rapidly, and integration into payment systems also advanced. As regulation and rule-making began to catch up, the 'means of access to the dollar' expanded, and
a new option for capital allocation is emerging: 'Bank Account ↔ Investment Portfolio ↔ Stablecoin.'

As a result,

• banks issuing their own stablecoins

• the boundary between deposits and investment products becoming blurred

• BII sees a pattern emerging where excess return potential is being created in financial sectors that are advancing digitalization and AI adoption, such as European financial stocks.

The point is that this is less about investing in stablecoins themselves and more like a game of finding the 'winners of the financial architecture restructuring.'
This is the composition that BII sees beginning to emerge.

5. Regional Opportunities Beyond AI: Japan, Europe, and Emerging Markets

Finally, let's briefly organize the regional outlooks.

• Japanese Stocks
  Corporate governance reform continues, and the growth rate is in a catch-up phase. While the Bank of Japan is showing a hawkish tone, BII does not view 'inflation as an essential problem,' and assesses that the tailwinds of moderate inflation, fiscal support, and reform will continue.

• Europe
  While prioritizing the U.S. for the market as a whole, BII emphasizes selective investment opportunities, noting that there is 'room for overweighting' in specific sectors such as finance, healthcare, and defense.
  

• Emerging Markets (EM)
  In 2025, EM returns were strong, fueled by a weaker dollar and lower U.S. interest rates. BII expects a 'stable to slightly weak dollar' and 'still-acceptable U.S. interest rates' to continue in 2026, and finds hard-currency EM debt particularly attractive.

Summary: Toward an Era of 'AI Bullishness × Increased Leverage × Reinventing Diversification'

What emerges from the BlackRock Investment Institute's 2026 outlook is not just a story about whether 'AI-related stocks will go up or down.'

• AI capex has reached a scale that can move the macro economy

• To support this, both companies and investors are forced to deal with 'leverage'

• In that process, the conventional wisdom of 'diversified investment' will no longer apply

This is a structural level of change.

What is required of investors is not a binary debate of 'getting on or off the AI train,' but rather the design capability to simultaneously manage (1) the growth story brought by AI and (2) risk factors such as leverage, interest rates, and regulation.
① The growth story brought by AI, and ② the design capability to manage risk factors such as leverage, interest rates, and regulation simultaneously.

In 2026, in the midst of the AI gold rush, the core of portfolio construction will not be 'bullish or bearish,' but rather 'which risks to consciously take, and where to prepare an escape route (Plan B).'

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