The AI Cooling Period: Market Bubble or Strategic Consolidation?

Investors are beginning to question whether the artificial intelligence (AI) euphoria that has dominated the markets for the past two years is truly fading, or if the industry is simply entering a phase of more rational pricing. Following the massive valuation surges led by Nvidia, the market is now demanding concrete income statements and tangible returns on investment (ROI) rather than just potential promises.

The Silicon Valley Hype Cycle and the Reality Check

As infrastructure spending by tech giants reaches billions of dollars, the question of how these investments translate into cash flow at the software layer is echoing through financial circles. The pressure on the capital expenditures (CapEx) of the so-called Hyperscalers has triggered a search for a new equilibrium in stock valuations.

■Capital Expenditures: Cloud providers' budgets for AI hardware remain at record highs.

■Revenue Expectations: Marginal revenue growth from AI integration in software companies has yet to meet high expectations.

■Sectoral Shift: The focus is shifting from 'model development' to 'applied efficiency'.

From Hardware Hegemony to Software Pragmatism

The hardware empire built on H100 and Blackwell series chips has confined liquidity flow to a few key players. However, the 'cold feet' experienced by investors should be read as a risk management strategy. Growth based solely on hardware sales is no longer seen as sufficient for a sustainable ecosystem.

The AI cycle is currently transitioning from the 'installation' phase to the 'optimization' phase. Demand for TSMC's production capacities and ASML's EUV machines remains strong; however, the market is no longer looking just at chip counts, but at the economic value added by the applications those chips power. If significant monetization is not observed on the software side, a sharp correction in hardware stocks is inevitable.