Meta's MTIA AI accelerator program is fundamentally broken due to misaligned incentives—two-year development cycles paired with six-month performance reviews doom execution.

META has delivered poor ROI on AI capex spend relative to peers, explaining recent 1-year underperformance.

META appears cheap on a long-term basis despite near-term timing uncertainty; positioned for strong long-term returns.

META is identified as lead buyer of custom CPUs, signaling acceleration in hyperscaler custom silicon adoption.

Meta ranks A-tier in large-cap tech based on Q1 earnings and AI infrastructure capex positioning.

Meta capex concerns are overblown; dip presents accumulation opportunity as AI infrastructure spending continues.

Bearish on META due to excessive capex spending relative to monetization and weak macro environment.

Meta's Reality Labs losses are declining while capex accelerates, demonstrating sustained commitment to AI infrastructure investment.

Meta is actively pursuing new datacenter opportunities (Astrid, Apollo), confirming aggressive capex expansion for AI infrastructure.