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Key Summary
US durable goods orders surged to approximately $318.9 billion in April, with physical infrastructure demand—such as AI data center and power grid construction—driving the industrials sector's performance.
The Atlanta Fed's GDPNow model upgraded its Q2 2026 growth forecast to 4.3%, as expanded capital goods investment firmly supports expectations of a soft landing for the US economy.
A clear rotation is observed within the 11 S&P 500 sectors, shifting from mega-cap tech (growth stocks) to industrials (value stocks) with visible free cash flow.
Current Situation Summary
As of 10:00 KST intraday on May 26, 2026 (provisional), major global stock markets are reacting sensitively to macro indicators and changes in EPS estimates by sector.
Currently, the KOSPI is at 8,105.51, KOSDAQ at 1,187.00, NASDAQ at 26,343.97, and the USD/KRW exchange rate is 1,510.20.
According to Daily Stock's proprietary Fear & Greed Index, the NASDAQ is currently at a Neutral (58.6) phase, showing a slight cool-down in sentiment compared to Greed (63.2) a week ago, Greed (68.5) a month ago, and Greed (66.8) three months ago.
The KOSPI is also at a Neutral (58.3) level, maintaining the Neutral (58.9) status from a week ago, stepping down from the Greed (64.8) of a month ago and Greed (63.4) of three months ago, entering a phase of re-evaluating fundamentals.
Amidst this easing of investment sentiment, the US stock market is experiencing an active handover among its 11 sectors.
In particular, as the AI theme expands beyond software to physical infrastructure like power, cooling, and machinery equipment, the EPS (Earnings Per Share) estimates of benefiting industrial companies are noticeably being revised upwards.
Financial Analysis
According to the latest durable goods orders data released by the US Department of Commerce, core capital goods orders (excluding transportation and defense) led the overall upward trend, showing a distinct rebound.
This increase in manufacturing orders suggests that even in a high-interest-rate environment, companies are not delaying facility investments for AI infrastructure construction and onshoring (domestic production).
In fact, the Atlanta Fed's GDPNow estimate for Q2 2026 recently jumped to the 4.3% level, reflecting strong economic momentum boosted by a surge in equipment investment.
This is interpreted to mean that private non-residential structures and machinery equipment investments remain robust, strongly supporting the fundamentals of the US economy.
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In terms of correlation with macro indicators, positive signals and wariness coexist in the market.
Core PCE (Personal Consumption Expenditures) price index and employment data, which directly affect the stance of the US Federal Reserve (Fed), remain sticky, somewhat delaying expectations of an early interest rate cut.
However, the fact that capital goods orders are not declining despite prolonged high interest rates proves the industrials sector's unique financial soundness and robust fundamental demand.
Valuation
Currently, the forward P/E (Price-to-Earnings) ratio of the S&P 500 industrials sector is formed in a somewhat high range between approximately 24.7x and 25.1x.
Although this exceeds the average valuation of the broader S&P 500 index, it is interpreted as a process where the premium previously concentrated on mega-cap tech stocks is being reasonably dispersed to real-economy-related industries.
When evaluating the appeal of value stocks over growth stocks, the industrials sector plays a significant role in hedging long-duration risk by providing relatively stable cash flow and decent dividend yields.
On the other hand, the Russell 2000 index, centered on small and mid-cap stocks, continues to have its earnings outlook heavily suppressed by high borrowing costs, continuously widening the valuation and performance gap with well-capitalized, large-cap blue-chip industrial companies.
| Indicator / Comparison Target | S&P 500 Industrials (XLI) | S&P 500 Information Technology (XLK) | Russell 2000 (Small & Mid-cap) |
|---|---|---|---|
| **Forward P/E** | Around 24.7x ~ 25.1x | Above 26.8x | Massive portion of EPS deficit |
| **Core Driver** | AI physical infrastructure, reshoring | AI software, cloud | Refinancing benefits from rate cuts |
| **Dividend Yield Feature** | Relatively stable (cash flow based) | Low (focused on growth reinvestment) | Very few dividend-paying companies |
| **Interest Rate Risk Sensitivity** | Medium (hedged by long-term order backlogs) | High (increase in future value discount rate) | Very high (maximized debt interest burden) |
Expert & Institutional Analysis
Major Wall Street investment banks cite the shift from vague AI growth narratives to an 'actual monetization and earnings-driven market' as one of the key themes for the 2026 stock market.
Goldman Sachs and JPMorgan analyze that AI technological advancements will inevitably explode demand for power grid upgrades and heavy machinery, representing a structural growth phase beyond a simple value stock rotation.
In particular, it is worth noting the phenomenon where the return performance of the equal-weighted index stands out more than the S&P 500 market-cap-weighted index, as the dominance of a few mega-cap tech stocks falters.
Institutional investors are proactively realizing some profits from long-duration tech stocks and actively recommending rotation strategies to diversify portfolios into blue-chip industrials with record-high order backlogs.
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Risk Factors
The most concerning risk is the possibility that the 'Soft Landing' scenario, which has sustained the market rally thus far, could be undermined.
If upcoming CPI (Consumer Price Index) or core employment indicators reaffirm sticky inflation, causing the Fed to further strengthen its tightening stance, capital procurement costs could exceed thresholds, leading to delayed or canceled new facility investment (Capex) orders by companies.
Also, if sudden recession signals emerge from major leading indicators like the ISM Manufacturing PMI, the industrials sector—traditionally highly sensitive to economic cycles—is highly likely to experience immediate downward pressure on stock prices.
There are also concerns that current order data is somewhat heavily skewed towards specific segments like AI infrastructure construction and the defense industry, so the risk of earnings forecasts rapidly declining in the event of a broader real economy demand slowdown must be kept in mind.
Investment Perspective Summary
The current US stock market has moved away from a single-sided concentration on Big Tech and entered a mature phase where funds are spreading across the industrials sector that implements the practical benefits of AI into physical equipment.
The recently confirmed strong rebound in core durable goods orders and the Atlanta Fed GDPNow's upward revision to the 4% range make the earnings visibility of industrial companies clearer than ever.
However, the forward P/E, which is slightly higher than the historical average, and concerns over prolonged high interest rates due to sticky inflation are significant variables that add to the valuation burden of the overall market.
Therefore, rather than blindly chasing themes, a balanced approach to thoroughly prepare for macro volatility by selecting companies with excellent free cash flow generation and secure long-term order backlogs will be effective.
Key Terms at a Glance
- **Durable Goods Orders:** The volume of new orders for goods with a lifespan of three years or more, serving as a key leading indicator that shows companies' willingness for long-term facility investment and the future direction of the manufacturing economy.
- **GDPNow:** An estimate of the US GDP growth rate for the current quarter, derived by the Federal Reserve Bank of Atlanta by feeding the latest key economic indicators into its model in real-time as they are released.
- **Forward P/E:** The ratio of the current stock price to the estimated Earnings Per Share (EPS) for the next 12 months, indicating how much of a premium the market is placing on the future value of a specific sector or company.
- **Sector Rotation:** A phenomenon where massive institutional funds shift from existing market leaders (e.g., tech stocks) to industries that will benefit from a new environment (e.g., industrials) in step with macroeconomic cycles or changes in the Fed's interest rate stance.
- **Russell 2000:** A benchmark index consisting of 2,000 representative small and mid-cap stocks in the US stock market. Compared to the S&P 500, which gathers large-cap stocks, it has higher debt ratios, making it much more sensitive to changes in the interest rate environment and concerns about domestic consumption downturns.