Meta’s ‘superintelligence’ isn’t here yet. But its AI bets are already paying off

Meta reported strong Q2 earnings, with EPS of $7.14 (up 38% YoY) and revenue of $47.5 billion, both exceeding analyst expectations, and provided robust Q3 guidance. This performance, which sent shares up over 9% after-hours, validates the company's substantial investments in AI infrastructure and talent, as AI is now significantly driving its core ad business. Despite aggressive spending on its "superintelligence" initiatives, Meta's capital expenditures remain in line with estimates, reinforcing investor confidence in its long-term strategic pivot.

Analysis

Meta's Q2 earnings report demonstrated significant fundamental strength, effectively validating its aggressive and costly pivot towards artificial intelligence. The company posted earnings of $7.14 per share, a 38% year-over-year increase that substantially beat the $5.88 analyst consensus, on revenue of $47.5 billion. This performance, driven by AI-led improvements in its core advertising business, directly counters investor concerns about the high capital outlay for AI infrastructure and talent. Further bolstering confidence, Meta issued Q3 revenue guidance of $47.5 billion to $50.5 billion, which is also ahead of Wall Street expectations, causing the stock to surge over 9% in after-hours trading. While the company is spending heavily to compete with rivals like Google and OpenAI in the race for "superintelligence," its capital expenditures of $17 billion were nearly in line with estimates, and it provided a more precise, narrowed full-year capex outlook. This suggests a disciplined approach to its long-term strategy, though investors should note that increased compensation for top AI talent is expected to be a major expense driver next year and the company is reportedly playing catch-up after delays in its Llama 4 AI model.

Key Decisions for Investors

• Investors should view the blockbuster earnings and strong guidance as a key validation of the company's AI-centric strategy, confirming that investments are translating into tangible revenue growth rather than just speculative hype.
• It is crucial to monitor capital expenditures and expense growth, particularly related to hiring and compensation in AI divisions, to ensure the company maintains its demonstrated spending discipline as it scales its long-term ambitions.
• Closely track Meta's progress in its AI model development and smart glasses business relative to competitors, as sustained leadership and execution in these areas are critical to justifying the ongoing high levels of investment and realizing its goal of becoming a dominant AI player.