The investing world is brimming with optimism about artificial intelligence. According to Goldman Sachs, tech firms, utilities, and other companies plan to spend over $1 trillion on AI infrastructure in the coming years.
This enthusiasm is reflected in the performance of companies like Nvidia, whose stock has soared over 175% in the past 12 months. The tech and communication services sectors, which are heavily investing in AI, now constitute about 44% of the S&P 500.
Despite this excitement, concerns about the rapid rise in AI-related stock prices exist. Some analysts caution that while AI is undeniably a generational investment theme, the dizzying rise of these stocks could lead to volatility if the anticipated productivity gains are delayed or less impactful than expected.
Some analysts justify their skepticism by pointing to the high costs of AI technology, which necessitate significant problem-solving capabilities that have not yet materialized. Other experts contend that truly transformative economic changes from AI may not occur within the next decade.
What Does This Mean For Me?
This timeline raises questions about the sustainability of current spending levels by firms heavily investing in AI without near-term returns.
Large companies with robust cash flows and steady earnings might manage to sustain their AI investments, but others could struggle if returns do not materialize soon. This could lead to a reassessment of investor enthusiasm and a potential correction in stock prices, especially given that large tech stocks are already trading at a premium.