Buying the dip in Meta? Morgan Stanley: Bad news is fully priced in, Meta AI may evolve into MetaClaw, kicking off a new round of growth engines.

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Morgan Stanley believes that market pessimism towards Meta has bottomed out. The current valuation level creates a rare tactical buying window, and the company has listed Meta as a top pick.

According to Chase the Wind Trading Desk, Morgan Stanley analyst Brian Nowak released his latest research report on March 29, maintaining an Overweight rating on Meta Platforms, but lowering the target price from $825 to $775, which is still about 50% upside from the current share price of around $526.

The report points out that, due to concerns about GenAI return on investment, macro uncertainties, and regulatory overhang, Meta is currently trading at a valuation of about 15 times expected 2027 earnings per share, one standard deviation below its 10-year average, and has been undervalued to this extent only four times in the past decade. This position, combined with expectations for potential AI agent products, forms the core logic of Morgan Stanley's bullish stance on Meta. In addition, Meta is advancing a plan to cut about 20% of its workforce, which Morgan Stanley estimates could save $3-$10 billion annually, contributing over $1 additional EPS in 2027, effectively providing strong EPS floor support during a period of heavy investment.

Meta's core growth engine lies in its potential AI agent product, MetaClaw. This tool, leveraging the Llama large model and Meta’s 3.5 billion active users, integrates merchant inventory and payment capabilities to build a closed loop of "agent-based shopping," expected to push Meta from ad display to transaction monetization. Morgan Stanley also lowered its ad revenue forecasts for 2026 and 2027 by about 1% each to reflect macro conservatism, but even so, 2027 EPS is still expected to be $36.31, with the upside potential intact.

Valuation Bottom: Discount Rate at Rare Decade-Long Lows

Meta's current valuation level is at a significant discount compared to similar large-cap tech stocks covered by Morgan Stanley.

Vertically, Meta's forward P/E is about 15x, lower than the 10-year average of 20.5x, and even below the lower bound of one standard deviation (16.4x). This has occurred only four times in the past decade, including during the user growth and margin crisis in 2018, Apple’s ATT privacy policy impact, and the Reality Labs investment cycle revaluation.

Horizontally, Meta's 2027 PEG valuation is about 0.9x, while the median for Apple, Microsoft, Alphabet, Amazon, and Netflix is about 2.0x for the same period—a discount of more than 54%. Even using Morgan Stanley’s $775 target, Meta’s PEG remains discounted by about 33% compared to peers, while its EPS CAGR for 2025-2027 is expected to reach 16%, higher than the 10% median for those companies.

Morgan Stanley’s base case target price of $775 equates to about 21x 2027 earnings, basically in line with historical averages. The bull case target is $1,000, and the bear case is $450, for a potential upside of about 90%.

MetaClaw: AI Agent Capabilities Could Redefine Platform Growth Logic

In the current valuation divergence, the core market question is: Can Meta’s effective capex of about $190 billion (including hyperscale compute purchasing) bring visible business returns? Morgan Stanley believes the answer is Meta's potential AI agent product — "MetaClaw."

The framework for MetaClaw, outlined by Morgan Stanley, is based on the Manus and stronger versions of the Llama LLM, with Moltbook as the intermediary layer for interconnecting user personal agents. Added to Meta’s multimodal commercial ecosystem — covering over 3.5 billion daily active users across Facebook, Messenger, Instagram and WhatsApp, 250 million merchants, and more than 10 million advertisers — this forms a potential closed-loop AI agent shopping and service platform. Reports say Meta is already testing integration of Gmail and Google Calendar into its agent product.

Although Meta does not have an independent browser entry point, the inventory information and payment capabilities from 250 million merchants already form the underlying infrastructure for “agent-based shopping.” Less than a month ago, Meta began testing GenAI-driven shopping features. Once MetaClaw takes shape, it will drive years of search-like recurring revenue growth, extending Meta’s monetization from ad display to a transaction closed loop.

Meanwhile, on the advertiser side, Meta is building automatic creative generation and ad delivery agent tools for SMB advertisers, further increasing its share of advertiser budgets.

Core Advertising Business: Growth Runway Still Underestimated

Morgan Stanley’s core ad assumptions are not aggressive, but are still higher than consensus expectations.

Morgan Stanley forecasts that Meta’s ad revenues will grow about 28% in 2026 and 21% in 2027, with projected revenues of about $257.5 billion and $311.6 billion, 3%-5% above consensus estimates. The key drivers are Meta apps' user daily usage time (about 40 min for Facebook, about 60 min for Instagram) remaining in strong growth, and video content’s rising share boosting monetization quality.

On the product pipeline, Meta disclosed in its Q4 2025 earnings that there are 10 more features to launch in 2026—including LLM-driven content recommendation optimizations, WhatsApp ad expansion, and introducing Threads ads to the UK, EU, and Brazil. The visibility of 1-2 years’ forward growth in core business remains clear, with the next major growth point expected in 2027—when LLMs will be used to analyze Meta’s native data and further improve contextual ad signal quality.

Layoff Dividend: Potential 20% Staff Reduction, Raising EPS Floor

Morgan Stanley sees the reported potential 20% layoff plan as a positive sign that will build a higher safety margin for EPS.

If Meta reduces approximately 15,773 positions, with per capita annual cost estimated at $200,000 to $600,000, the annualized OPEX savings is about $3.15-$9.46 billion, or about 3%-9% of Morgan Stanley's 2027 Meta EBIT forecast. Per share, this move could contribute over $1 incremental 2027 EPS beyond the baseline scenario, serving as a buffer if the ad market weakens.

It’s worth noting that the baseline scenario model does not yet include cost savings from layoffs—the model already assumes sharp increases in D&A expense for 2026-2027, at $31.9B and $51.3B, reflecting Meta’s persistent infrastructure investment. If layoffs are implemented, it could effectively offset cost pressure and increase certainty of the $36.31 2027 EPS estimate.

Catalyst Calendar: May and September as Key Windows

Morgan Stanley sees May and September 2026 as two potential important catalyst windows for Meta.

In May, Meta held its inaugural LlamaCon AI developer conference last year, and Morgan Stanley expects it may be repeated in 2026, with new models and product progress to be announced. Media also reported new models may launch in May. In September, Meta typically holds its annual Connect developer conference, historically the main venue for product roadmap and key tech milestones.

New products and models at these two points—especially if MetaClaw-related capabilities are realized—will be key variables in driving the market to reassess Meta's ROIC visibility and trigger valuation recovery. Currently, market option-implied probabilities show that Meta stock has about a 13.6% chance of surpassing the $775 target in 12 months, a 0.9% chance of reaching the $1,000 bull scenario, and a 31.7% chance of falling to the $450 bear scenario.

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The above content is from Chase the Wind Trading Desk.

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