Woofun AI reports that Bernstein has maintained an Outperform rating for Meta but lowered its price target from $850 to $800, citing intensifying profit pressure driven by aggressive artificial intelligence investment. This adjustment reflects a strategic reassessment rather than a loss of confidence in the core advertising engine, highlighting the tension between immediate earnings and long-term infrastructure buildout.

The second-quarter financial performance underscores the resilience of the advertising business, which remains the primary revenue driver. Total revenue for Q2 reached $608.01 billion, marking a 28% year-over-year increase. Within this total, advertising revenue accounted for $593.63 billion, representing a 27% year-over-year growth rate. These figures confirm that the underlying demand for digital ad placements continues to expand robustly across the platform ecosystem.

However, the valuation adjustment is primarily driven by the scale of future capital commitments. The 2026 capital expenditure guidance has been set between $130 billion and $145 billion, a range that includes principal payments for financing leases. Management has indicated that this level of AI infrastructure investment will persist at least through 2027, signaling a prolonged period of heavy spending aimed at securing technological leadership and computational capacity.

Valuation metrics have been recalibrated to reflect these cost structures. The $800 target price aligns with an approximate 22x P/E ratio by 2027. Earnings per share expectations have been revised downward, with 2026 EPS adjusted to $32.27 and 2027 EPS to $36.68. The valuation model employs a 50/50 weighting between a 2027 EV/Sales multiple of 6.7 times and discounted cash flow (DCF) models, which assume a 10% WACC and 3.5% perpetual growth.

User engagement metrics remain a critical asset for the company’s long-term strategy. Family daily active users have reached 3.6 billion, while Instagram daily actives stand at 2 billion. Threads has surpassed 500 million monthly active users.

Additionally, WhatsApp demonstrates significant scale by processing up to 30 million messages per second, reinforcing the solidity of Meta’s traffic base across social, communication, and business messaging scenarios.

Woofun AI data shows that AI product adoption is accelerating, with tangible monetization signals emerging. The Advantage+ advertising suite now exceeds an annualized revenue run rate of $75 billion, utilized by over 9 million small businesses. Following the integration of Muse Spark, Meta AI saw a 60% increase in daily active users. More than 1 million merchants are using Business Agents weekly. Other revenue, including AI-related streams, exceeded $1 billion in the second quarter, up from $583 million in the prior year, a 73% year-over-year growth.

Strategic initiatives are focused on preventing displacement by competing technologies. Mark Zuckerberg’s vision of "Personal Superintelligence" addresses the risk of consumer gateway migration, similar to the challenges posed by TikTok’s rise in short video and ChatGPT’s impact on generative AI. To counter this, Meta is advancing multiple fronts, including the Muse Spark 1.1 paid API, Enterprise AI Agents, the Meta One subscription service, AI-integrated smart glasses, and merchant business tools, ensuring continued relevance in a shifting landscape.

Looking ahead, the third-quarter revenue guidance is set between $61 billion and $64 billion, implying 19% to 25% year-over-year growth, with approximately a 1 percentage point headwind from exchange rates. Full-year cost guidance ranges from $165 billion to $169 billion.

Notably, the lower end of the 2026 capital expenditure guidance was increased by $5 billion compared to previous estimates, reflecting ongoing adjustments to infrastructure needs.

Regulatory risks further complicate the outlook, as the company faces lawsuits and investigations related to adolescent protection, antitrust issues, and AI products. If AI features expand into communication, content recommendation, and underage usage scenarios, compliance costs may rise significantly. The $800 target price reflects a research-specific valuation approach rather than a broad market-consensus expectation, given varying institutional calibers.

The final verdict balances defensive spending against revenue potential. While the advertising business provides sufficient cash flow to fund AI investments, personal AI has not yet established itself as a new revenue curve directly impacting the profit and loss statement. The market will closely monitor when these substantial investments transition from defensive costs to sustainable profit drivers.