Over the past few months, watching the U.S. stock market, I’ve felt that truly interesting structural changes are taking place. In particular, an earnings-driven uptrend centered on artificial intelligence continues to unfold.

Currently, the S&P 500 is trading in the high 6,000s and is showing steady gains compared with last year. With the Federal Reserve leaning toward easing and supported by companies’ earnings growth, market sentiment is in a fairly positive state. What’s especially worth noting is that this rally is not relying on liquidity alone—it is being underpinned by real profit expansion at leading large-cap stocks.

When choosing recommended U.S. stocks, the most important thing is four factors. First, financial health must be strong. In markets with high volatility, having cash assets and a stable debt structure is essential. That is exactly why companies like Apple and Microsoft hold cash equivalents of more than $600 billion.

Second is competitiveness and barriers to entry. Nvidia’s more than 80% share in the AI computing GPU market is not just because of chip manufacturing—it comes from structural advantages such as the CUDA ecosystem and software integration. These network effects are difficult to catch up with in the short term.

Third is valuation. Tech stocks are maintaining high P/E ratios, but that doesn’t necessarily mean the market is overheated. In Tesla’s case, the high valuation reflects expectations for new business models such as robotaxis and energy storage systems. This is different from high-P/E stocks based on short-term themes.

Fourth is growth potential. At present, the main growth axes of the global market are clearly narrowing to artificial intelligence, healthcare, and clean energy. Google is growing by more than 10% with the Gemini model and cloud services, while Apple is increasing the share of software and subscription services through on-device AI technology.

Looking at recommended U.S. stock sectors after 2025, AI and semiconductors are still driving the market. Nvidia’s revenue has increased by 114% year over year, and data centers account for 91% of total revenue. AMD is also expanding its share through the MI series, while Microsoft and Google are strengthening cloud competitiveness with their own AI semiconductors.

The healthcare sector is showing a polarized pattern. Some companies that recorded strong performance with obesity treatments are doing well, while traditional pharmaceutical firms are underperforming. However, benefits from an aging population and the adoption of AI diagnostic technology are positive factors over the medium to long term.

In the clean energy field, challenges emerged in the short term due to higher funding costs, but with the Federal Reserve’s easing stance and the tax benefits under the Inflation Reduction Act, the possibility of medium- to long-term growth remains valid.

Specifically, if we name the top 10 recommended U.S. stocks: Nvidia has a full-stack advantage as the No. 1 AI acceleration chip provider. Microsoft has monetization of Copilot and an Azure AI customer lock-in effect. Apple can expect high growth in service revenue through on-device AI. Alphabet will benefit from Gemini 2.0 and a rebound in YouTube advertising, while Amazon’s AWS margin improvement is noteworthy.

AMD is playing catch-up as the No. 2 AI accelerator, Meta is improving ad efficiency with AI recommendation engines, and Tesla is expanding its earnings base with FSD and energy storage. Costco provides defensive growth amid a slowdown in inflation, and UnitedHealth’s strengths include tailwinds from an aging population and strong Optum data growth.

As for investment strategy, first, diversification through ETFs is the most efficient approach. With a single buy, you can invest across multiple industries, and net inflows into ETFs from major asset managers such as BlackRock and Vanguard are increasing rapidly. By using not only AI and semiconductor growth sectors but also dividend, healthcare, and defensive ETFs together, you can reduce the risk of individual stocks.

A dollar-cost averaging (DCA) strategy is also especially suitable for markets with high volatility. According to data from JP모건 자산운용, when investing steadily in the S&P 500 for 10 years, the probability of losses is under 5%. It is also effective for maintaining psychological stability and mitigating downside risk.

Risk management is the core of every investment. Basic principles include position size limits, setting stop-loss levels, and diversifying by sector. During weeks of FOMC or CPI releases, you should reduce positions to manage volatility. It is also important to adjust the weight of overheated sectors through quarterly rebalancing.

In the end, as of 2026, the U.S. stock market is in the early stages of a gradual bull market. Earnings growth driven by artificial intelligence continues, and a steady inflation trajectory and a solid corporate profit structure are supporting the market’s downside. In the short term, there may be adjustment factors such as tech stock overheating or geopolitical risks, but over the long term, the likelihood is that risk-asset preference will gradually strengthen.

Over the next 5 years, the key is long-term diversification and risk management. If you stick to consistent investment principles—such as constructing an ETF portfolio, regular rebalancing, and disciplined DCA—you can expect stable compound returns even amid short-term volatility.