Morgan Stanley analyst Brian Nowak reaffirmed Meta Platforms as a "top pick" and held to a $775 price target, which implies about 30% upside from prevailing share prices. Nowak’s note addresses investor skepticism over the scale of Meta’s planned AI investment, pointing to several nascent revenue streams that could both improve margins and justify multiple expansion.
Investor doubts have been driven in part by limited clarity on the payoff from Meta’s multiyear infrastructure program. Nowak cited the company’s projected $380 billion capital expenditure plan for 2027 and 2028 as a central source of uncertainty. Against that backdrop, the analyst outlined four product and monetization levers that, in combination, could add materially to 2028 earnings per share.
Nowak estimated that each of the four emerging offerings could contribute between $1 and $3 to Meta’s 2028 EPS. He broke those opportunities down as follows:
- Integrated search within Meta AI - Nowak described a multi-billion dollar search opportunity if Meta AI attracts scale. He modeled a scenario in which the tool retains 1 billion users and monetizes 10% of daily queries, a case that would produce in excess of $10 billion in annual revenue under his assumptions.
- Tiered subscriptions - With 3.5 billion daily active users on Meta’s platform, the deployment of tiered subscription packages could open a high-margin revenue stream. Nowak suggested modest take-up among the company’s roughly 50 million content creators and millions of advertisers could yield about $7 billion in incremental revenue and contribute roughly $2 to 2028 EPS.
- Ad-tech improvements via GPU-enabled machine learning - Meta’s core advertising franchise is undergoing a machine-learning overhaul that leans heavily on GPU capacity. Nowak emphasized the sensitivity of modeled 2028 ad revenues: every 1% upside would translate into about $3.5 billion of additional revenue and lift EPS by approximately 2.5%.
- Neocloud compute-leasing option - The analyst highlighted what he called a "Neocloud safety net," meaning Meta could lease unused compute capacity to enterprise customers. Nowak projected that leasing just one gigawatt of capacity at prevailing market rates would materially support free cash flow and provide at least an 8% upside to 2028 earnings in his framework.
Collectively, these avenues form the core of Morgan Stanley’s argument that Meta’s heavy AI spending could strengthen competitive moats rather than merely inflate costs. The analyst’s scenario work assigns discrete revenue and EPS contributions to each line of business while also framing how improved monetization could drive valuation multiple expansion.
Nonetheless, market sentiment has remained cautious. Meta’s shares have fallen about 15% over the past year, while the S&P 500 posted a roughly 23% gain over the same interval. The difference in performance underscores investor concern about capital allocation and near-term dilution.
Those concerns were accentuated last week when Meta’s stock tumbled 5.5% in regular trading after a Financial Times report indicated the company is contemplating a substantial equity raise to fund its AI infrastructure buildout. The report said Meta is exploring the sale of tens of billions of dollars of new stock to help finance the expansion.
Valuation comparisons also point to market skepticism. On consensus earnings estimates, Nowak noted Meta is trading at about a 30% discount to Alphabet’s Google and sits nearly two standard deviations below its historical average in his view. Such metrics help explain why investors have pushed the shares lower even as Morgan Stanley models multiple future revenue sources.
In sum, the Morgan Stanley thesis balances a constructive long-term view — driven by discrete monetization opportunities and the option to monetize spare compute — against the near-term capital funding questions that have pressured the equity. The analyst’s $775 price target continues to reflect upside potential if the modeled adoption and revenue sensitivities materialize.
Contextual note - The estimates, price target and scenarios cited above are those attributed to Morgan Stanley’s Brian Nowak in his recent research note.