Meta’s stock looks too cheap, analysts say. Why it’s now set up for a Google-style rally.
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Christine Ji
Meta is positioned for potential stock growth as it challenges Google for the digital advertising crown, bolstered by AI investments. However, analysts warn that Big Tech firms must prepare for years of elevated capital expenditure as AI infrastructure demands remain high.
The Convergence of AI Infrastructure and Market Dominance
Meta Platforms is currently navigating a pivotal transition, positioning itself to potentially surpass Google Search as the world's leading digital advertising platform by the end of the year. According to projections from Bernstein, this shift is largely attributed to Meta's aggressive and effective integration of artificial intelligence into its ad-tech ecosystem. While these AI-driven gains have not yet fully translated into Meta’s stock performance this year, the underlying operational momentum suggests a significant shift in the competitive landscape of the 'Big Three'—Meta, Google, and Amazon.
The Legal Catalyst for Stock Revaluation
Market analysts are drawing compelling parallels between Meta’s current setup and Alphabet’s trajectory from the previous year. Alphabet’s stock experienced a significant rally following the resolution of major legal settlements, which cleared the path for investors to refocus on core growth metrics. There is a growing consensus that Meta is approaching a similar inflection point. By moving past regulatory and legal hurdles, Meta is creating a cleaner narrative for investors, allowing the intrinsic value of its advertising dominance and AI advancements to take center stage in valuation models.
The Reality of the 'Capex Shocker'
Despite the optimism surrounding ad-revenue growth, the industry is entering an era of unprecedented capital expenditure (capex). Goldman Sachs has warned of an 'AI capex shocker' as companies like Meta, Alphabet, and Amazon commit massive resources to build the foundational infrastructure required for generative AI. These eye-popping expenditure numbers are not temporary outliers but are expected to become a standard feature of earnings reports for the foreseeable future as firms race to secure their technological edge.
Supply Chain Constraints and the 2028 Horizon
Eric Sheridan of Goldman Sachs Research highlights that the supply-demand imbalance within the AI sector is unlikely to resolve until the first half of 2028. This prolonged imbalance necessitates sustained high levels of spending on data centers and compute power. Consequently, investors should anticipate that the supply chain will remain under significant constraint, leading to rising costs for critical components like high-bandwidth memory. This environment forces tech giants to balance high revenue growth against the reality of escalating operational costs.
Future Trends and Strategic Implications
Looking ahead, the next several years will be defined by how effectively these 'Big Three' players manage their capital deployment. While the investment in AI infrastructure is a necessary cost to maintain market leadership, it also creates a barrier to entry for smaller competitors. The race to achieve the largest digital advertising share is now inextricably linked to the ability to manage supply chain pressures and sustain the massive capex requirements until the market finds a new equilibrium around 2028. Investors must therefore look beyond quarterly fluctuations and focus on long-term infrastructure scalability.
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