Looking at the U.S. stock market recently, really interesting signals are emerging. Especially as expectations for interest rate cuts over the past few minutes and explosive growth in the AI industry align, global investors' attention is focused. The situation is being evaluated as solid performance in semiconductors, energy, and healthcare sectors, and the Fed is also open to additional rate cuts, so standby funds are gradually moving into risk assets. Just seeing the S&P 500 sitting in the high 6,000s and up about 12% compared to a year ago shows what the situation is like.

The biggest feature of the current market is not just simple expectations of economic recovery but the formation of new growth engines centered around AI, semiconductors, and cloud computing. This rally is characterized more by an earnings-driven market based on the expansion of top large-cap companies' performance rather than relying solely on liquidity. To pick recommended U.S. stocks, you need to understand this trend accurately.

There are several key points to consider when selecting good U.S. stock recommendations. First is financial soundness; companies like Apple and Microsoft, holding over $600 billion in cash equivalents, have the capacity to maintain share buybacks and dividends even during a recession. Second is competitiveness and entry barriers; especially in AI and semiconductors, technological gaps directly translate into corporate value. For example, Nvidia dominates over 80% of the AI GPU market and has built the CUDA ecosystem. Third is valuation assessment; a high PER does not necessarily mean overheating. Expectations for new business models like Tesla's robotaxis and energy storage systems can be reflected. Lastly, growth potential must be evaluated, with AI, healthcare, and clean energy clearly narrowing as growth axes in the global market.

Currently, the leading sectors are AI and semiconductors. Nvidia's revenue this year increased by 114% year-over-year, with data centers accounting for about 91% of total sales. Microsoft and Google are also enhancing their cloud competitiveness by promoting their own AI semiconductors. Goldman Sachs analyzed that over 80% of the S&P 500's gains came from AI-related stocks. The healthcare sector shows polarization centered on obesity treatments, with Eli Lilly and Novo Nordisk posting strong results, while traditional pharmaceutical companies are underperforming. Clean energy, though showing short-term weakness, could positively impact long-term cost stability and declining power storage costs.

Among companies frequently mentioned as U.S. stock picks, Nvidia is the leader in AI acceleration chips, with strengths in a full-stack approach from data centers to software ecosystems. Microsoft is monetizing Copilot and has customer lock-in effects with Azure AI. Apple is experiencing high growth in service revenue thanks to on-device AI. Alphabet's key factors are Gemini 2.0 and the recovery of YouTube advertising. Amazon is improving AWS margins and advancing retail automation. AMD, as the second-largest AI accelerator provider, could see improved data center mix as its MI series market share expands. Meta is enhancing its AI recommendation engine, increasing ad efficiency, and Tesla's FSD and energy storage are expanding its earnings base. Defensive stocks include Costco, which shows stable growth amid inflation slowdown, and UnitedHealth, benefiting from aging demographics and growth in Optum's data analytics.

To formulate an investment strategy, a few principles must be followed. Diversified investment through ETFs is most efficient; the global ETF market size has surpassed $17 trillion, with rapid inflows into major fund providers like BlackRock and Vanguard. Using ETFs that cover growth sectors like AI and semiconductors, as well as dividend, healthcare, and defensive ETFs, can reduce individual stock risks. A dollar-cost averaging strategy is also effective; JPMorgan Asset Management reported that a consistent 10-year investment in the S&P 500 has less than a 5% chance of loss. Risk management is crucial—setting position limits, stop-loss orders, sector diversification, and quarterly rebalancing to adjust overheated sector weights are essential.

Ultimately, the U.S. stock market is in the early stages of a gradual bull market. If the earnings-driven, structural growth centered on AI continues and the Fed maintains its easing stance, risk asset preference is likely to gradually strengthen. Of course, in the short term, factors like overheating in tech stocks or geopolitical risks could cause adjustments, but stable inflation and solid corporate earnings structures firmly support the market's downside. The key strategy for the next five years is long-term diversification and risk management. By building a portfolio with ETFs, regularly rebalancing, and adhering to a disciplined buying principle, you can expect stable compound returns even amid short-term volatility. While choosing recommended U.S. stocks is important, ultimately, sticking to these fundamental principles is the most crucial for long-term profitability.