Why are tech stocks reacting to earnings and new AI models?
Tech stocks are sensitive to market and economic factors because investors price them based on high expectations of growth.
Here are some key factors driving tech and AI stocks:
• Recent earnings announcements by large tech companies have raised new concerns over the hundreds of billions spent on capex, particularly around data center capacity. This spending has negatively affected free cash flow, which is a core component of how these companies are valued.
• The concern continues to be whether these investments will generate an appropriate return, especially if it slows their core underlying businesses that have been profitable. Ironically, it was only a few years ago when many investors worried about the sizable cash balances these companies had accumulated, with no viable projects in which to invest it.
• Another factor affecting the AI story is the Chinese company Moonshot AI's release of a new large language model, Kimi K3. This is different from last year's release of the DeepSeek model which showed that AI models could be far more efficient, thus perhaps requiring less computational and hardware resources. Instead, Kimi K3 is a frontier model that reportedly competes with the most advanced models from companies such as OpenAI, Anthropic, and Alphabet. This creates further uncertainty about the future of the AI industry at a time when some of these companies are planning their IPOs.
• Perhaps the most straightforward reason tech stocks have been volatile is that interest rates have jumped due to higher oil prices and inflation expectations. Tech stocks are highly sensitive to interest rates because they affect how future earnings are valued today. This is similar to the pullback in tech stocks in 2022 when inflation jumped and the Fed raised rates quickly.
• It's important to keep in mind that market sentiment can shift quickly, in both directions. Many of the concerns driving markets today echo those from the past few years. Despite some challenging periods, markets have performed very well over this timeframe. This is why it's not only important to hold a balanced portfolio across different parts of the market, but also to maintain a longer time horizon.
The included chart shows how tech stocks have led both gains and losses in the market, highlighting their sensitivity to economic uncertainty and AI trends, which is directly relevant here.
While short-term volatility in tech stocks can create challenges, history reminds us that transformative technologies create value over decades, and a patient, diversified, long-term approach remains the most reliable path to financial success.
