META Stock Forecast: BofA Keeps $810 Target on AI Chip Savings

Key Insights

• BofA kept its $810 price target and estimates Meta’s custom AI chips could save about $8.5 billion.
• Citi maintained a Buy rating and $800 target, citing Muse growth and upcoming Meta Connect updates.
• Meta plans to deploy MTIA 450 and MTIA 500 chips in 2027 as it expands custom AI infrastructure.

Meta Platforms Inc. shares traded near $675 on Sept. 17 as Wall Street analysts maintained bullish views on the company’s artificial intelligence strategy, custom-chip roadmap and expanding subscription business.

BofA Securities reiterated its Buy rating on Meta and maintained a $810 price target, implying about 20% upside from recent trading levels. Citi also kept its Buy rating and set a $800 target, citing Meta’s AI product pipeline and the upcoming Meta Connect event on Sept. 23–24.

The analyst updates come as Meta expands its artificial intelligence products through Muse and prepares to deploy a new generation of in-house AI chips from 2027.

BofA Sees $8.5 Billion Savings From Meta AI Chips

BofA analyst Justin Post said custom silicon remains an important part of Meta’s long-term AI infrastructure strategy. Meta plans to deploy its third-generation MTIA 450 chip, code-named Arke, during the first half of 2027, followed by the higher-performance MTIA 500, or Astrid, later in the year.

Both processors are being developed with Broadcom and are designed primarily for AI inference workloads. Meta has committed to deploying more than 1 gigawatt of custom-chip capacity over 12 months, with wider deployment planned as the technology matures.

BofA estimates Meta could deploy between 5 GW and 6 GW of owned computing capacity in 2027, requiring roughly $200 billion in spending. If chips account for around 60% of that cost and Meta’s custom processors are about 40% cheaper than third-party alternatives, the firm estimates Meta could save approximately $8.5 billion.

Meta previously considered developing a processor capable of handling both AI training and inference. That project, known as Olympus, was canceled after internal estimates suggested the design could cost about 30% more, reducing its economic value at scale.

Citi Points to Muse and Meta Connect as Near-Term Drivers

Citi reiterated its Buy rating and $800 price target on Meta, naming the company among its preferred internet-sector stocks ahead of Meta Connect.

The firm expects the event to provide updates on Meta’s AI product strategy, including developments around its Muse personal AI agent.

Muse launched on Sept. 8 and is designed to perform multi-step tasks rather than operate only as a question-and-answer chatbot. The agent runs on Meta’s Muse Spark model and can continue executing tasks in the background after a user leaves the application.

Citi noted that Muse downloads have exceeded those of Instagram and Facebook on several recent days.

The brokerage also expects investors to watch for information about Meta’s next foundation model, internally known as Watermelon, as the company increases AI computing capacity into 2027.

The firm expects newer AI products to support engagement and monetization as Meta expands the infrastructure required to run larger models and agent-based services.

META Stock Forecast Supported by Analyst Coverage

Other analysts have also maintained positive ratings on Meta.

Rosenblatt reiterated a Buy rating with an $886 price target, citing the rollout of Meta One and continued usage momentum around Muse.

Meta One has disclosed 15 million trial and paid subscribers following the earlier launch of single-app Plus subscriptions.

Goldman Sachs separately maintained its Buy rating and $725 price target, focusing on Meta’s ability to turn expanded AI computing capacity into consumer products and revenue opportunities.

META shares were trading around $675.50, up about 0.33% on the day.

Based on recent analyst targets, Wall Street attention remains centered on Meta’s ability to control AI infrastructure spending while expanding Muse, subscriptions and other AI-powered services.