Morgan Stanley: META — AI Efficiency Winds Begin to Pick Up
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Morgan Stanley identifies Meta Platforms as the latest large-cap technology company leveraging generative AI tools to drive operational efficiency. Media reports indicate Meta plans to reduce its workforce by 20%, affecting approximately 16,000 employees. This restructuring could generate $5–13 billion in operating expense savings by 2027, translating into a 3–11% upside to EBIT.
Rather than signaling bloated cost structures, these layoffs reflect Meta’s ongoing efficiency focus and its need to offset accelerating GenAI investments in both capital and operating expenditures. Management noted that engineer productivity has increased 30% since early 2025, primarily driven by the adoption of agentic coding tools, which are now being deployed across the entire organization. Because personnel-related expenses still account for roughly 80% of total operating expenditures, workforce reductions can effectively protect profitability during heavy investment cycles.
Morgan Stanley maintains an Overweight rating with a target price of $825, based on approximately 11x 2027 EBITDA and implying 23x 2027 price-to-earnings. The firm emphasizes that Meta’s efficiency initiatives represent a structural cultural shift toward leaner operations and enhanced investor returns.
Revenue and engagement trends continue improving, with Reels monetization progressing and advertising attribution strengthening in the post-IDFA landscape. The report also highlights three underappreciated call options: AI-driven upside, subscription adoption, and click-to-message revenue.