As the New York Stock Exchange experiences turbulence due to the emergence of Chinese AI startup ‘DeepSeek,’ some tech stocks have surged against the trend. Notably, Apple, often seen as a laggard in AI investment, has gained unexpected attention. This report analyses key earnings from major tech firms and explores investment strategies.
Key Tech Earnings Overview
Apple (AAPL): Benefiting from AI Laggard Status?
Despite limited AI investment, Apple’s stock rose amid the DeepSeek disruption.
NVIDIA’s sharp decline allowed Apple to reclaim the top market cap position.
Analysts revised target prices upward before the earnings release.
Q4 Results:
Revenue: $124.3 billion (beat expectations)
EPS: $2.40 (exceeded expectations)
However, concerns remain over weaker iPhone sales and sluggish growth in China.
Meta (META): AI Infrastructure Investments Drive Stock Resilience
Meta successfully defended its stock against the DeepSeek shock.
Q1 Revenue Guidance: Estimated at $39.5–41.8 billion.
Reality Labs’ cumulative losses exceeded $60 billion since 2020.
AI infrastructure investment plan unveiled: $60–65 billion.
CEO Mark Zuckerberg’s AI-focused remarks during the earnings call boosted stock performance.
Meta expressed strong confidence in its new LLM, ‘LLaMA 4.’
Tesla (TSLA): Earnings Miss but Stock Recovers
Tesla’s Q4 earnings fell short of Wall Street estimates.
Safe-Haven Investments: 20–30% (Gold, US Treasuries, High-Grade Corporate Bonds)
Key Considerations for Investors
Assessing AI Growth Sustainability:
Evaluate AI investment strategies and revenue contributions for long-term growth potential.
Monitoring Global Economic and Interest Rate Trends:
Federal Reserve rate decisions could impact tech stock valuations.
China Market Risk Assessment:
Watch Apple and Tesla’s performance in China amid ongoing sales concerns.
Conclusion
This M7 tech earnings season marks a pivotal moment in AI and the broader tech sector. Apple’s unexpected gains, Tesla and Meta’s continued AI investments, and Microsoft’s cloud market slowdown signal key shifts in the industry.
Investors should strike a balance between AI-driven growth and portfolio stability. A diversified strategy that captures AI opportunities while incorporating defensive assets will be crucial for navigating market uncertainties.