By   Ritu Vohora, CFA
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Hard tech, hard power, and a shift from an asset-light world

The center of gravity in markets is shifting to tangible assets.

March 2026, In the Spotlight

Key Insights
  • Markets are being reshaped as leading tech companies pivot from asset-light models to capital-intensive investment.
  • A spending surge on AI infrastructure and defense is redirecting economic rents toward chips, power, and industrial capacity.
  • Falling intelligence costs and stronger, productivity-led growth are set to drive broader value creation.

Even before the onset of the Iran war, the center of gravity in capital markets had begun to shift from soft assets to hard tech and hard power.

Hyperscalers—large tech firms that operate cloud platforms and data centers—are doubling down on AI infrastructure amid an existential crisis, with 2026 capital expenditure (capex) projected to equal roughly 2% of U.S. GDP.1 Defense spending is accelerating globally, and a bullish commodity cycle appears intact.

Software and professional services companies, by contrast, have endured a bruising sell-off as investors reassess their terminal value in the face of AI progress.

This repricing marks the start of a more discerning phase in markets. The prospect of falling intelligence costs and stronger, productivity-led growth means value could accrue differently than in recent years—likely reshaping market leadership.

From hype to balance sheets

The AI cycle has evolved from hype to real-world gains to genuine disruption. The next phase brings greater scrutiny of balance sheets and business models.

Tech giants that have long dominated equity markets through highly profitable, asset-light growth engines such as code, platforms, and intellectual property are going all-in on physical, capital-intensive investments. Capacity, not demand, has become the binding constraint, with competitive necessity forcing aggressive spending on power, chips, data centers, and networking.

Hyperscalers, among the most cash-generative companies in history, have largely funded these investments from operating cash flow. They can spend much more before crossing into net debt. However, operating margins are eroding quickly, and the growing use of debt issuance and off-balance-sheet financing by certain players bears watching.

AI chip spending alone could reach $1 trillion by 2030,2 and the most compelling opportunities lie where the capex dollars flow. Semiconductors remain the cleanest likely beneficiaries alongside bottlenecks in memory, power, optics, electricals, and other critical AI segments.

SaaS repricing

As economic rents shift to hardware and infrastructure, software is undergoing a structural reset. AI progress lowers the cost of building software, intensifies competition, and poses terminal value risk. Recent price action has been indiscriminate, but select software-as-a-service (SaaS) companies should emerge stronger. Those that control critical datasets, act as enabling platforms for AI deployment, or sit deeply within enterprise workflows maintain favorable outlooks. Put simply, mission-critical systems are here to stay.

A growing opportunity set

Globally, economic nationalism, policy recalibration, and fiscal shifts are bolstering investment across defense, energy transition, and industrial capacity—all of which intersect with AI’s physical footprint. Capital is being redirected and reshaping sectors.

Investors quickly priced in Germany’s “fiscal bazooka” in 2025. However, they may have underestimated the wider geopolitical shifts taking place, highlighted in Canadian Prime Minister Mark Carney’s recent address at the World Economic Forum.

Growing urgency among the so-called “middle powers” for strategic autonomy over their defense capabilities and critical industries suggests further upside for fiscal spending and economic growth. The war in Iran could spark further fiscal actions with countries spending even more on energy and defense.

European defense stocks, capital goods firms, semiconductor equipment manufacturers, and select financials should benefit from these tailwinds.

In Asia, structural reforms and deep semiconductor ecosystems remain central to the AI value chain. Japan’s strategic industrial push and its key role in semiconductor supply chains—a position shared with Taiwan and South Korea—underpin a bullish equity outlook outside the U.S.

These shifts are broadening market leadership. Since late last year, global small-caps, global ex-U.S. value, and emerging markets equities have all benefited as investors have rotated beyond U.S. mega-caps.

Real assets become a bottleneck

Amid the ongoing macro and geopolitical recalibration, a continued scramble for perceived safe havens seems likely. The acceleration of fiscal spending across developed markets—coupled with Japanese monetary policy that remains behind the curve—dulls the appeal of long-dated sovereign bonds and strengthens the case for hard assets over fiat currencies.

Industrial metals have experienced some speculative excesses recently, but the long-term outlook remains bullish. A weakened U.S. dollar amid ballooning deficits, the threat of de facto yield curve management, and a more protectionist tenor in Washington lends support to a constructive commodity outlook.

Additionally, as the AI buildout and decline in the cost of compute set the stage for structurally higher growth, real assets could become bottlenecks. As suppliers to the world, emerging markets—especially Latin American countries and South Africa—stand to benefit.

A maturing cycle, not peak

The macro environment has become more complex—but also more investable for those seeking diversification and fundamentally driven opportunities.

The open question is no longer whether AI will radically alter the economy. It’s where and to what extent value will accrue: upstream in physical infrastructure and commodities, within enabling platforms, or in entirely new applications.

As value shifts from the intangible to the tangible, investors who remain selective, diversified, and valuation-aware may see the next era as less of a threat than an opportunity.

Ritu Vohora, CFA Investment Specialist, Capital Markets
Mar 2026 Monthly Market Playbook Article

Has the AI arms race changed mega-cap tech?

How AI has changed dynamics for mega-cap technology.

1 Torsten Slok, Apollo Academy, “How Much is $646 billion?” February 22, 2026.

2 See CNBC, “AMD’s Lisa Su sees 35% annual sales growth driven by ‘insatiable’ AI demand,” November 11, 2025.  Estimates provided are for the AI chip total addressable market (TAM). TAM is the total potential market for a product or service. There is no guarantee that any forecasts (AMD forecast, November 2025) made will come to pass and actual outcomes may differ materially.

Definitions

GDP is gross domestic product, or the total value of finished goods and services produced in an economy.

Readers in the U.S. and Canada can visit troweprice.com/glossary for definitions of additional financial terms.

Investment Risks

Commodities are subject to increased risks such as higher price volatility, geopolitical, and other risks. Prices of commodities, including gold, can be subject to extreme volatility and significant price swings.

Diversification cannot assure a profit or protect against loss in a declining market.

International investments can be riskier than U.S. investments due to the adverse effects of currency exchange rates, differences in market structure and liquidity, as well as specific country, regional, and economic developments. The risks of international investing are heightened for investments in emerging market and frontier market countries. Emerging and frontier market countries tend to have economic structures that are less diverse and mature, and political systems that are less stable, than those of developed market countries.

Real asset investments involve risks, including valuation volatility, illiquidity, and regulatory uncertainties.

Small-cap stocks have generally been more volatile in price than large-cap stocks.

Investing in technology stocks entails specific risks, including the potential for wide variations in performance and usually wide price swings, up and down. Technology companies can be affected by, among other things, intense competition, government regulation, earnings disappointments, dependency on patent protection and rapid obsolescence of products and services due to technological innovations or changing consumer preferences.

The value approach to investing carries the risk that the market will not recognize a security’s intrinsic value for a long time or that a stock judged to be undervalued may actually be appropriately priced.

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